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Rank,Publication ID,DOI,PMID,PMCID,Title,Abstract,Acknowledgements,Funding,Source title,Anthology title,Book editors,MeSH terms,Publication date,PubYear,Publication date (online),Publication date (print),Volume,Issue,Pagination,Open Access,Publication Type,Authors,Authors (Raw Affiliation),Corresponding Authors,Authors Affiliations,Times cited,Recent citations,RCR,FCR,Source Linkout,Dimensions URL,Fields of Research (ANZSRC 2020),Sustainable Development Goals
6590,pub.1146147826,10.1007/s12665-022-10298-9,35280111,PMC8905562,Sustainable water resources development and management in large river basins: an introduction,"Water resources are important in large basins which are important places for human habitation and industrial and agricultural development. The background of editing this thematic issue was introduced and the general water resources situation and water quality status in four major large river basins in the Asian and African continents were briefly summarized to give readers general pictures of water resources development and management in these basins, and these large river basins are the Yellow River Basin, the Yangtze River Basin, the Indus Basin, and the Nile Basin. The thematic issue papers were classified into four clustered topical categories, and the main points of the papers in this thematic issue were summarized. Finally, the perspectives of future sustainable water resources development and management in large river basins were proposed.","We are grateful for the approval and support rendered by the Editor in Chief Emeritus, James W LaMoreaux, in editing this thematic issue. We are also grateful for the continued support from the present Editors in Chief, Yan Zheng and Olaf Kolditz. This topic is increasingly becoming important, as large populations reside in large river basins and rely on either groundwater or surface water for multiple purposes. Therefore, the authors and reviewers are acknowledged for their interests in this thematic issue and their hard work and assistance during the peer review. Without the cooperation of the editors, authors and reviewers, it would be impossible to publish this thematic issue. We are grateful for the support granted by the National Natural Science Foundation of China (42072286, and 41761144059), the Fok Ying Tong Education Foundation (161098), the Fundamental Research Funds for the Central Universities of CHD (300102299301 and 300102291507), and the Ten Thousand Talents Program (W03070125).",,Environmental Earth Sciences,,,,2022-03-09,2022,2022-03-09,2022-03,81,6,179,All OA; Bronze,Article,"Li, Peiyue; Wang, Dan; Li, Wenqu; Liu, Leining","Li, Peiyue (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China); Wang, Dan (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China); Li, Wenqu (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China); Liu, Leining (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, China)","Li, Peiyue (Chang'an University; Chang'an University)","Li, Peiyue (Chang'an University; Chang'an University); Wang, Dan (Chang'an University; Chang'an University); Li, Wenqu (Chang'an University; Chang'an University); Liu, Leining (Chang'an University; Chang'an University)",42,42,2.11,30.56,https://link.springer.com/content/pdf/10.1007/s12665-022-10298-9.pdf,https://app.dimensions.ai/details/publication/pub.1146147826,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,
6044,pub.1157107914,10.1016/j.jconhyd.2023.104182,37060835,,Hydrological bases of water resources management of the rivers of Northern Kazakhstan,"It is well known that directional global and regional climatic changes have been taking place in recent decades, in the considered area, where the underground feeding of rivers is insignificant, the river flow has decreased. In this regard, the river flow rate and total water resources of the river basins of Northern Kazakhstan are estimated in several ways: for a multi-year period, for the modern period, as well as for the period preceding it, a significant part of which is characterized by conditionally natural (not significantly transformed) river flow. Flow characteristics necessary for practice have been obtained: distribution parameters and probability values. Territorial peculiarities and regularities of annual flow distribution have been analyzed. The regional dependence of the annual flow on the determining physical and geographical factors has been derived. Appropriate recommendations for calculating the flow of unstudied rivers are given. The obtained results can be used in the development of specific principles of integrated water resources management of the considered territory, and the long-term forecasting of water resources under changing climate and changes in anthropogenic pressure on the water bodies of Northern Kazakhstan.",Declaration of Competing Interest The authors declare that there is no conflict of interests.,,Journal of Contaminant Hydrology,,,Water Resources; Rivers; Water; Kazakhstan; Hydrology,2023-04-07,2023,2023-04-07,2023-05,256,,104182,Closed,Article,"Makhmudova, Lyazzat; Kozykeyeva, Aliya; Kambarbekov, Galymzhan; Karimova, Gulnur; Zhulkainarova, Madina","Makhmudova, Lyazzat (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: lyaz.makhmudova62@yahoo.com.); Kozykeyeva, Aliya (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: al.kozykeyeva@aol.com.); Kambarbekov, Galymzhan (Department of Meteorology and Hydrology, Al-Farabi Kazakh National University, 71 Al-Farabi Ave., 050000 Almaty, Republic of Kazakhstan. Electronic address: gkambarbekov@yahoo.com.); Karimova, Gulnur (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: gulnu.karimova@gmail.com.); Zhulkainarova, Madina (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: madina.zhulk@gmail.com.)","Karimova, Gulnur (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: gulnu.karimova@gmail.com.)","Makhmudova, Lyazzat (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: lyaz.makhmudova62@yahoo.com.); Kozykeyeva, Aliya (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: al.kozykeyeva@aol.com.); Kambarbekov, Galymzhan (Al-Farabi Kazakh National University); Karimova, Gulnur (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: gulnu.karimova@gmail.com.); Zhulkainarova, Madina (Department of Water Resources and Melioration, Kazakh National Agrarian Research University, 8 Abai Ave., 050010 Almaty, Republic of Kazakhstan. Electronic address: madina.zhulk@gmail.com.)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1157107914,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
5997,pub.1155621096,10.3390/ijerph20043764,36834457,PMC9965043,Characteristics and Driving Mechanism of Water Resources Trend Change in Hanjiang River Basin,"Studying the historical and future trends of water resources in a basin and explaining the causes of water resource changes is very important, which is key to the management of water resources in a basin. The Hanjiang River Basin is an important water supply source for southwestern Fujian and eastern Guangdong, but it has an uneven spatial and temporal distribution of water resources and an outstanding conflict between supply and demand. In this study, the SWAT model was used to simulate the conditions of the Hanjiang River Basin in the last 50 years, using long time series climate data to study the characteristics and driving mechanism of water resources trend change. The results show that the water resources in the basin have not increased significantly in the last 50 years, but evapotranspiration has increased significantly. The forecast results for water resources in the future are reduced. The water resource changes in the basin have been unevenly distributed in the last 50 years. Climate change has been the main factor in total water resource change in the basin, while the difference in water resource change trends within the basin is caused by land use. The key reason for the decrease in water resources in the Hanjiang River Basin is the significant increase in evapotranspiration due to the significant increase in temperature. If this situation continues, the available water resources in the basin will continue to decline. In fact, many basins around the world are currently likely to have such problems, such as the 2022 summer drought in the Danube River Basin in Europe and the Yangtze River Basin in China, so this article is informative and representative of future water resources management in the basin.","We thank the Field Scientific Observation and Research Station of Hanjiang River in Guangdong province, we also thank my other colleagues’ valuable comments and suggestions that have helped improve the manuscript.","This research was funded by FORESTRY ECOLOGICAL MONITORING NETWORK PLATFORM CONSTRUCTION (No. 2021-KYXM-09; 2021-KYXM-09-001), and the GUANGDONG NATURAL SCIENCE FOUNDATION (No. 2019A1515011627).",International Journal of Environmental Research and Public Health,,"Song Song, Paul B. Tchounwou",Water Resources; Rivers; Water Supply; Water; China; Climate Change,2023-02-20,2023,2023-02-20,,20,4,3764,All OA; Gold,Article,"Kong, Ming; Zhao, Jieni; Zang, Chuanfu; Li, Yiting; Deng, Jinglin","Kong, Ming (School of Geography, South China Normal University, Guangzhou 510631, China.); Zhao, Jieni (School of Geography, South China Normal University, Guangzhou 510631, China.); Zang, Chuanfu (School of Geography, South China Normal University, Guangzhou 510631, China.); Li, Yiting (School of Geography, South China Normal University, Guangzhou 510631, China.); Deng, Jinglin (School of Geography, South China Normal University, Guangzhou 510631, China.)","Zang, Chuanfu (South China Normal University)","Kong, Ming (South China Normal University); Zhao, Jieni (South China Normal University); Zang, Chuanfu (South China Normal University); Li, Yiting (South China Normal University); Deng, Jinglin (South China Normal University)",1,1,,,https://www.mdpi.com/1660-4601/20/4/3764/pdf?version=1677212196,https://app.dimensions.ai/details/publication/pub.1155621096,37 Earth Sciences; 3701 Atmospheric Sciences; 3704 Geoinformatics; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
5939,pub.1149522958,10.1016/j.scitotenv.2022.157396,35850329,,Water resources management of large hydrological basins in semi-arid regions: Spatial and temporal variability of water footprint of the Upper Euphrates River basin,"The existing water accounts for large-scale, semi-arid and transboundary river basins are usually lack of sufficient spatial-temporal elements of water use, a prerequisite for identifying potential water savings and for sustainable management of scarce water resources. This study aims to demonstrate value of water footprint (WF) accounting framework for such river basins with the case study of the Upper Euphrates River basin which is not only used as major food and energy production resource in Turkey but also a focal point for international conflict, diplomacy and dialogue in Middle East. The methodology is based on Water Footprint Assessment Manual which is published by Water Footprint Network. The study maps spatial-temporal variations of sectoral water use in the study area for the agriculture, domestic water supply and industry for the period of 2008-2019. The water footprint of the Upper Euphrates River basin is calculated as 27.4 Gm3, most of which is related to the agricultural activities. The downstream and lower plains of the study area exhibited a considerably high blue and grey agricultural WF, reaching 2397 and 349 mm, respectively. Several crops have substantially large WFs in the region such as cotton, wheat, pistachio, and barley. The analysis given in this study revealed importance of spatial-temporal disaggregated information in water accounting for sustainable management of water resources. These accounts can provide insights that were not available to the decision makers before, such as water saving opportunities, potential water efficiency and productivity benchmarks, strategic planning for various climatic conditions etc. These are the major values that water footprint accounting can introduce in water management in a large scale, semi-arid transboundary river basins.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements A part of this research was conducted within the framework of the M.Sc. thesis in Civil Engineering provided by E. Iraz under the supervision of Dr. Abdullah Muratoglu. We are grateful to the Turkish State Meteorological Service and its Batman Province Directorate for providing data and relevant information.,,The Science of The Total Environment,,,Hydrology; Rivers; Turkey; Water; Water Resources,2022-07-16,2022,2022-07-16,2022-11,846,,157396,Closed,Article,"Muratoglu, Abdullah; Iraz, Emre; Ercin, Ertug","Muratoglu, Abdullah (Department of Civil Engineering, Batman University, Batman, Turkey. Electronic address: abdullah.muratoglu@batman.edu.tr.); Iraz, Emre (Department of Civil Engineering, Batman University, Batman, Turkey.); Ercin, Ertug (R2 Water Research and Consultancy, Amsterdam, the Netherlands; Vrije University of Amsterdam, Amsterdam, the Netherlands.)","Muratoglu, Abdullah (Batman University)","Muratoglu, Abdullah (Batman University); Iraz, Emre (Batman University); Ercin, Ertug (R2 Water Research and Consultancy, Amsterdam, the Netherlands; Vrije University of Amsterdam, Amsterdam, the Netherlands.; Vrije Universiteit Amsterdam)",13,13,0.72,9.96,,https://app.dimensions.ai/details/publication/pub.1149522958,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology; 38 Economics; 3801 Applied Economics,2 Zero Hunger
5812,pub.1164619391,10.1007/s11356-023-29997-2,37782367,,Water resource sustainable use assessment methodology and an impact factor analysis framework for SDG 6–oriented river basins: evidence from the Yellow River basin (Shaanxi section) in China,"The rapid growth of developing countries has placed unprecedented pressure on water resources, severely hindering the realization of sustainable development goal 6 (SDG 6) in river basins. In this study, sustainable water resource utilization (SWRU) in the Yellow River basin (Shaanxi section) from 2005 to 2019 is evaluated through an analysis of water resource overload combined with the water footprint (WF) and the water planetary boundary (WPB) and an analysis of water resource utilization quality combined with the WF and city development index (CDI) based on the coupled coordination model. Then, the results are incorporated into the drive-pressure-state-impact-response framework to analyze the impacts of the socioeconomic system on SWRU and the feedback effect of related policies. The results show that there were obvious differences in the spatiotemporal evolution characteristics of the WF in different geographical units. The WF of Guanzhong first increased and then decreased, and the WF of Northern Shaanxi grew continuously. The water deficit state is increasing. Although the coordination level between the WF and CDI in the basin increased by 500.31%, it was characterized by nonequilibrium and volatility. Compared to water resource endowment, socioeconomic development and government policies have greater impacts on SWRU; furthermore, the influencing factors demonstrate spatial variability, revealing the complexity of achieving SDG 6 in the basin. As policy implications, adaptive water resource policies should be formulated on the basis of strengthening the overall basin management. This study provides a scientific basis for promoting the realization of SDG 6 through watershed water management.",We are grateful for the support of the standard map service system provided by the Ministry of Natural Resources of the People’s Republic of China. We thank American Journal Experts (AJE) for English language polishing.,This work was supported by the Humanities and Social Sciences Research Planning Fund of Ministry of Education of China (grant numbers [21YJA790073]).,Environmental Science and Pollution Research,,,Water Resources; Sustainable Development; Rivers; China; Water,2023-10-02,2023,2023-10-02,2023-11,30,51,110175-110190,Closed,Article,"Yang, Yi; Zhang, Yuanyuan; Wang, Le","Yang, Yi (School of Economics and Management, Xi’an University of Technology, 710054, Xi’an, China); Zhang, Yuanyuan (School of Economics and Management, Xi’an University of Technology, 710054, Xi’an, China); Wang, Le (School of Economics and Management, Xi’an University of Technology, 710054, Xi’an, China)","Yang, Yi (Xi'an University of Technology)","Yang, Yi (Xi'an University of Technology); Zhang, Yuanyuan (Xi'an University of Technology); Wang, Le (Xi'an University of Technology)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1164619391,37 Earth Sciences; 38 Economics; 3801 Applied Economics,
5717,pub.1151887822,10.1038/s41598-022-21465-0,36241760,PMC9568593,Ecological-environmental challenges and restoration of aquatic ecosystems of the Middle-Eastern,"Water resource management has numerous environmental challenges, especially in aquatic ecosystems such as rivers due to the heterogeneous distribution of surface water resources, among other diverse impacting factors. In Iran (one of the countries of the Middle-East), population growth, development of urban communities and development of agricultural and industrial activities provide additional impacts on the functioning of aquatic ecosystems. The United Nations declared the third decade of this century (2021–2030) as the decade of ecosystem restoration. In this study, we have selected the Zayandehroud River as a case study and then evaluated the pathology of existing statuses. Strategies and approaches were studied and analyzed including the need to utilize integrated water resources management (IWRM), approaches for dealing with drought conditions, payment of water rights and dam alternatives, and the need for ecological landscape studies. Then, strategies and approaches appropriate from the perspective of restoration were identified, including the techniques used, and the experiences of different countries. The analysis showed that similar regions of Iran in the Middle-East need to change the paradigm of ""nature control"" to the paradigm of ""nature management"" and reduce reliance on structural and technological solutions in water resources management.",,,Scientific Reports,,,Agriculture; Ecosystem; Rivers; Water; Water Resources,2022-10-14,2022,2022-10-14,,12,1,17229,All OA; Gold,Article,"Pirali zefrehei, Ahmad Reza; Kolahi, Mahdi; Fisher, Judith","Pirali zefrehei, Ahmad Reza (Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Mashhad, Iran); Kolahi, Mahdi (Faculty of Natural Resources and Environment, Water and Environment Research Institute, Ferdowsi University of Mashhad, PO Box 9177948974, Mashhad, Iran); Fisher, Judith (Institute of Agriculture, University of Western Australia, 35 Stirling Highway Crawley, 6009, Perth, Australia; Fisher Research Pty Ltd, Floreat, PO Box 169, 6014, Perth, Australia)","Kolahi, Mahdi (Ferdowsi University of Mashhad)","Pirali zefrehei, Ahmad Reza (Ferdowsi University of Mashhad); Kolahi, Mahdi (Ferdowsi University of Mashhad); Fisher, Judith (University of Western Australia; Fisher Research Pty Ltd, Floreat, PO Box 169, 6014, Perth, Australia)",2,2,0.58,1.07,https://www.nature.com/articles/s41598-022-21465-0.pdf,https://app.dimensions.ai/details/publication/pub.1151887822,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,6 Clean Water and Sanitation
5702,pub.1153238691,10.1016/j.jenvman.2022.116870,36459785,,"Zoning method of aquatic ecosystem functional management fourth-level region in the Daqing River Basin, China","Watershed management needs more information on ecological function and services in large regions. Spatial units are particularly important for the watershed management. Zoning of aquatic ecosystem functional management region refers to the zoning of terrestrial ecosystems as per the characteristics of aquatic ecosystems, providing an ecological background and basic spatial units for water environment management in basins. Although basin water environment management based on aquatic ecosystem functional management region and control unit is highly effective in practice, the current need for refined management of water environments cannot be met by existing zoning schemes of aquatic ecosystem functional management regions and control units. In response to the need to protect basin water environments, which is raised in the 14th Five-Year plan, a zoning method of aquatic ecosystem functional management fourth-level region for basins is proposed in this study. It features an effective integration of aquatic ecosystem functional management regions and control units and township-level administrative divisions, thus contributing to the implementation of a basin water environment management system that fulfils the zoning, grading, classification and period goals of aquatic ecosystem functional management. In this way, it can satisfy the business application of administrative management and refined management of water environments, which features coupling terrestrial and aquatic ecosystems and unification of water resources, water environments and aquatic ecology. The feasibility and effectiveness of the proposed zoning method were verified by using the Daqing River Basin, Beijing-Tianjin-Hebei region, China, as a case study. The results were accepted by the Ministry of Ecology and Environment and the Haihe River Water Conservancy Commission of the Ministry of Water Resources, which can provide scientific rationale and technical support for the accurate and differentiated watershed water environments management and ecological restoration of coastal wetlands in the Haihe River Basin based on aquatic ecosystem functional management fourth-level region with clear responsibility for the local government during the period of the 14th Five-Year plan.",This paper is supported by Major Science and Technology Program for Water Pollution Control and Treatment (2018ZX07111001).,,Journal of Environmental Management,,,Ecosystem; Rivers; Environmental Monitoring; China; Water; Conservation of Natural Resources,2022-11-29,2022,2022-11-29,2023-02,327,,116870,All OA; Hybrid,Article,"Sun, Lihui; Shu, Chang; Ding, Lin; Tian, Ziqiang; Liu, Hao","Sun, Lihui (Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.); Shu, Chang (Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Electronic address: shuchang@craes.org.cn.); Ding, Lin (Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.); Tian, Ziqiang (Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.); Liu, Hao (Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.)","Shu, Chang (Chinese Research Academy of Environmental Sciences)","Sun, Lihui (Chinese Research Academy of Environmental Sciences); Shu, Chang (Chinese Research Academy of Environmental Sciences); Ding, Lin (Chinese Research Academy of Environmental Sciences); Tian, Ziqiang (Chinese Research Academy of Environmental Sciences); Liu, Hao (Chinese Research Academy of Environmental Sciences)",2,2,,1.68,https://doi.org/10.1016/j.jenvman.2022.116870,https://app.dimensions.ai/details/publication/pub.1153238691,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences,15 Life on Land
5687,pub.1147309734,10.1038/s41598-022-10599-w,35459761,PMC9033815,Multi-objective optimal water resources allocation in the middle and upper reaches of the Huaihe River Basin (China) based on equilibrium theory,"In the river basin water resources allocation (WRA) problem, an unbalanced WRA poses challenges to water resources management departments. Many studies focus on achieving a lower water shortage rate while ignoring the equilibrium relationship among the socio-economic system, water resources system and eco-environmental system, as well as the equilibrium relationship among different regions. In this study, a water resources allocation model(WRAM) based on equilibrium theory is constructed to achieve the balance between different systems and different spaces in a basin. First, the relationship among the water resources system, socio-economic system and eco-environmental system is described. Then, the regional equilibrium index and system equilibrium index are constructed. Finally, the first model based on equilibrium theory is constructed. The results show that: (1) the Pareto Front reflects the contradictory relationship between economic development and environmental sustainability; (2) with the restructuring of industry and cropping, both economic efficiency and water shortage rates improve; (3) the equilibrium of the basin could also be further improved if water resources utilisation is further improved. Therefore, this study improves the existing WRAM, which can be applied to guide the water resources management of river basin.",The authors are grateful to the Huaihe River Basin Management Committee for providing valuable economic and hydrological data. The authors are also grateful to the insight and views of the reviewers and editors. This research was supported by the Water Resources Department of Jiangsu Province (2016003); the National key research and development program of China(2016YFC0401306) and the Fundamental Research Funds for the Central Universities of China (2014B1605318).,,Scientific Reports,,,,2022-04-22,2022,2022-04-22,,12,1,6606,All OA; Gold,Article,"Dong, Zengchuan; Zhang, Jitao; Zhang, Ke; Wang, Xinkui; Chen, Tian","Dong, Zengchuan (College of Hydrology and Water Resources, Hohai University, 210000, Nanjing, China); Zhang, Jitao (College of Hydrology and Water Resources, Hohai University, 210000, Nanjing, China; International Institute for Infrastructural, Hydraulic and Environmental Engineering, 2628 AX, Delft, The Netherlands); Zhang, Ke (College of Hydrology and Water Resources, Hohai University, 210000, Nanjing, China); Wang, Xinkui (College of Hydrology and Water Resources, Hohai University, 210000, Nanjing, China); Chen, Tian (College of Hydrology and Water Resources, Hohai University, 210000, Nanjing, China)","Dong, Zengchuan (Hohai University)","Dong, Zengchuan (Hohai University); Zhang, Jitao (Hohai University; IHE Delft Institute for Water Education); Zhang, Ke (Hohai University); Wang, Xinkui (Hohai University); Chen, Tian (Hohai University)",8,8,0.91,5.82,https://www.nature.com/articles/s41598-022-10599-w.pdf,https://app.dimensions.ai/details/publication/pub.1147309734,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
5684,pub.1150073992,10.1016/j.scitotenv.2022.157928,35952883,,Future water security in the major basins of China under the 1.5 °C and 2.0 °C global warming scenarios,"Freshwater is an essential resource for human lives, agriculture, industry, and ecology. Future water supply, water withdrawal, and water security under the impacts of climate change and human interventions have been of key concern. Numerous studies have projected future changes in river runoff and surface water resources under climate change. However, the changes in the major water withdrawal components including agricultural irrigation water, industrial, domestic and ecological water withdrawal, as well as the balance between water supply and withdrawal, under the joint impacts of climate change and socio-economic development have been seldom investigated, especially at the basin and national scales. In this study, changes in surface water resources, agricultural irrigation water, industrial, domestic and ecological water withdrawal, as well as the balances between water supply and withdrawal, under the baseline climate (2006-2015), 1.5 °C and 2.0 °C warming scenarios (2106-2115) in the 10 major basins across China, were investigated by combining modelling and local census data. The results showed that water withdrawal exceeded water supply in the basins of Liao River, Northwest River, Hai River, Yellow River and Huai River in the baseline period. Under the 1.5 °C and 2.0 °C warming scenarios, the shortage of water resources would aggravate in the above-mentioned basins and the Songhua River basin. And the surplus of water resources would reduce substantially in the basins of Yangtze River, Southeast River and Pearl River. Overall, the difference between water supply and water withdrawal was 435.88 billion m3 during the baseline period, and would be 261.84 and 218.39 billion m3, respectively, under the 1.5 °C and 2.0 °C warming scenarios. This study provides a comprehensive perspective on future water security in the 10 major basins across China, has important implications for water resources management and climate change adaptation.","This work was supported by the National Key Research and Development Program of China (no. 2017YFA0604703), the National Natural Science Foundation of China (project U2040212) and China Three Gorges Corporation (Contract Number: 202103584).",,The Science of The Total Environment,,,Climate Change; Global Warming; Humans; Rivers; Water; Water Supply,2022-08-08,2022,2022-08-08,2022-11,849,,157928,Closed,Article,"Zhai, Ran; Tao, Fulu; Chen, Yi; Dai, Huichao; Liu, Zhiwu; Fu, Bojie","Zhai, Ran (Institute of Science and Technology, China Three Gorges Corporation, Beijing 100038, China.); Tao, Fulu (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Natural Resources Institute Finland (Luke), 00790 Helsinki, Finland. Electronic address: taofl@igsnrr.ac.cn.); Chen, Yi (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.); Dai, Huichao (Institute of Science and Technology, China Three Gorges Corporation, Beijing 100038, China.); Liu, Zhiwu (Institute of Science and Technology, China Three Gorges Corporation, Beijing 100038, China.); Fu, Bojie (Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.)","Tao, Fulu (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences; Natural Resources Institute Finland)","Zhai, Ran (China Three Gorges Corporation (China)); Tao, Fulu (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences; Natural Resources Institute Finland); Chen, Yi (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences); Dai, Huichao (China Three Gorges Corporation (China)); Liu, Zhiwu (China Three Gorges Corporation (China)); Fu, Bojie (Research Center for Eco-Environmental Sciences; University of Chinese Academy of Sciences)",11,11,0.97,8.0,,https://app.dimensions.ai/details/publication/pub.1150073992,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,13 Climate Action; 6 Clean Water and Sanitation
5662,pub.1150308142,10.1016/j.jenvman.2022.115894,35988406,,Classification analysis of blue and green water quantities for a large-scale watershed of southwest China,"Traditional blue water resources assessment and management may not meet the needs of sustainable water resource utilization; ignoring the number of green water resources will underestimate the availability of water resources. To rationally allocate and scientifically manage the limited water resources, it is necessary to divide the rich and poor flow situation of blue water and green water. The MIKE SHE-MIKE HYDRO integrated coupled model was selected and used in the Yalong River basin to ascertain the blue and green water in the hydrological cycle. The model was calibrated by matching simulated discharge against observed streamflow discharge at the Tongziling Station. At the same time, the research analyzed the component of green water and the total amount of blue water or green water on a temporal scale. The set pair analysis (SPA) was introduced to classify blue water and green water, which can not only understand the amount and distribution characteristics of water resources in the Yalong River Basin but also rationally allocate the total of water resources in the basin from the perspective of the regional water cycle. Furthermore, according to the situation of blue water and green water in the basin, the related policies are formulated to realize the efficient utilization of water resources in the Yalong River basin.","This research was supported by the National Natural Science Foundation of China (U20A20117), the Key-Area Research and Development Program of Guangdong Province (2020B1111380003), and the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0403).",,Journal of Environmental Management,,,China; Rivers; Water; Water Movements; Water Resources,2022-08-18,2022,2022-08-18,2022-11,321,,115894,All OA; Hybrid,Article,"Li, Yutong; Cai, Yanpeng; Wang, Xuan; Li, Chunhui; Liu, Qiang; Sun, Lian; Fu, Qiang","Li, Yutong (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China.); Cai, Yanpeng (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China. Electronic address: yanpeng.cai@gdut.edu.cn.); Wang, Xuan (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China.); Li, Chunhui (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China.); Liu, Qiang (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China.); Sun, Lian (School of Geography and Tourism, Anhui Normal University, Wuhu, 241002, China.); Fu, Qiang (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, 150030, China.)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)","Li, Yutong (Beijing Normal University); Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Wang, Xuan (Beijing Normal University); Li, Chunhui (Beijing Normal University); Liu, Qiang (Beijing Normal University); Sun, Lian (Anhui Normal University); Fu, Qiang (Northeast Agricultural University)",8,8,1.2,4.83,http://manuscript.elsevier.com/S0301479722014670/pdf/S0301479722014670.pdf,https://app.dimensions.ai/details/publication/pub.1150308142,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
5579,pub.1144713177,10.1038/s41598-021-04734-2,35039583,PMC8764080,"Multi-objective optimization of water resources allocation in Han River basin (China) integrating efficiency, equity and sustainability","The hydrological cycle, affected by climate change and rapid urbanization in recent decades, has been altered to some extent and further poses great challenges to three key factors of water resources allocation (i.e., efficiency, equity and sustainability). However, previous studies usually focused on one or two aspects without considering their underlying interconnections, which are insufficient for interaction cognition between hydrology and social systems. This study aims at reinforcing water management by considering all factors simultaneously. The efficiency represents the total economic interests of domesticity, industry and agriculture sectors, and the Gini coefficient is introduced to measure the allocation equity. A multi-objective water resources allocation model was developed for efficiency and equity optimization, with sustainability (the river ecological flow) as a constraint. The Non-dominated sorting genetic algorithm II (NSGA-II) was employed to derive the Pareto front of such a water resources allocation system, which enabled decision-makers to make a scientific and practical policy in water resources planning and management. The proposed model was demonstrated in the middle and lower Han River basin, China. The results indicate that the Pareto front can reflect the conflicting relationship of efficiency and equity in water resources allocation, and the best alternative chosen by cost performance method may provide rich information as references in integrated water resources planning and management.",This work was funded by the National Natural Science Foundation of China (Grants U20A20317 and 51879192) and the Natural Science Foundation of Hubei Province (2020CFB239).,,Scientific Reports,,,,2022-01-17,2022,2022-01-17,,12,1,798,All OA; Gold,Article,"Deng, Lele; Guo, Shenglian; Yin, Jiabo; Zeng, Yujie; Chen, Kebing","Deng, Lele (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China); Guo, Shenglian (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China); Yin, Jiabo (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China); Zeng, Yujie (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China); Chen, Kebing (Bureau of Hydrology, Changjiang Water Resources Commission, 430010, Wuhan, China)","Guo, Shenglian (Wuhan University)","Deng, Lele (Wuhan University); Guo, Shenglian (Wuhan University); Yin, Jiabo (Wuhan University); Zeng, Yujie (Wuhan University); Chen, Kebing (Changjiang Water Resources Commission)",29,28,2.31,21.1,https://www.nature.com/articles/s41598-021-04734-2.pdf,https://app.dimensions.ai/details/publication/pub.1144713177,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,
5524,pub.1169104814,10.1007/s11356-024-32377-z,38393563,,"Assessing ecological health in a semi-arid basin: a case study of the Wei River Basin, China","A healthy water ecosystem within a river basin is essential for maintaining ecological security, preserving species diversity, and ensuring sustainable socio-economic development. Unfortunately, human activities have significantly threatened the health of water ecosystems in various basins. Consequently, timely restoration and targeted protection of damaged river ecosystems have become crucial objectives in watershed management. As a prerequisite and cornerstone for river protection and management, assessing river ecological health has emerged as a primary focus in current research. In this study, we selected the Wei River Basin, a representative area of the Yellow River Basin, as our research subject. We identified multiple influencing factors, including society, biology, water quality, and habitat, which collectively impact this semi-arid region. To assess the overall impact of these factors on ecological health, we developed a comprehensive River Ecological Health Assessment Index (REHAI) system. The research findings indicate that the Wei River system, as a whole, is currently in a healthy state, while the Jing and Luo River systems are classified as sub-healthy. Furthermore, we observed variations within the Wei River system itself; the upper reaches of the Wei River exhibit higher levels of health compared to the middle reaches, whereas the water environment in the lower reaches is the most compromised. This degradation can be attributed to downstream subsidence, increased pollution, and rapid urbanization. By establishing a river ecosystem health assessment methodology and conducting a comprehensive evaluation of the health status of river ecosystems, this paper puts forward management recommendations for river basins. These findings provide a scientific basis for the sustainable utilization of water resources in river basins and promote the harmonious coexistence of humanity and nature.","The National Tibetan Plateau Data Center is thanked for the free provision of the DEM data. The Resource and Environment Science and Data Center of China is thanked for providing the land use data dataset. We would like to thank the Statistical Bureaus of Cities in Shaanxi Province, China, for support in providing statistics data. The anonymous reviewers are thanked for their comments which helped to improve this paper.","The authors would like to thank the financial support provided by the Fundamental Research Funds for the Central Universities, CHD (300102352901), and Key Research and Development Program in Shaanxi Province (2022ZDLSFO7-05).",Environmental Science and Pollution Research,,,Humans; Ecosystem; Water Quality; Water Resources; Rivers; China,2024-02-23,2024,2024-02-23,2024-03,31,14,21687-21708,Closed,Article,"Yang, Yonglin; Cao, Hongye; Xia, Yuyun; Liu, Dong; Liu, Yang; Qiao, Jianwei","Yang, Yonglin (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Cao, Hongye (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an, China); Xia, Yuyun (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Liu, Dong (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Liu, Yang (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Qiao, Jianwei (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China)","Cao, Hongye (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China; Chang'an University)","Yang, Yonglin (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Cao, Hongye (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China; Chang'an University); Xia, Yuyun (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Liu, Dong (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Liu, Yang (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China); Qiao, Jianwei (China Jikan Research Institute of Engineering Investigations and Design, Co., Ltd, 710043, Xi’an, China)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1169104814,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land; 6 Clean Water and Sanitation
5520,pub.1150425936,10.1016/j.jenvman.2022.115974,36027732,,A disaggregated assessment of national water security: An application to the river basins in Thailand,"Achieving water security is a global concern in the age of changing climate, population increase, urbanization, intensive socio-economic development, and land-use change. Addressing water security challenges is most appropriate at the river basin scale since hydrological boundaries at which water flows differ from administrative boundaries, and it can provide policymakers and decision-makers key insights to better support water management practices. This study carries out a disaggregated assessment of national water security by applying an indicator-based framework to evaluate water security conditions in all twenty-five river basins of Thailand from 2007 to 2015. The framework comprises five broad dimensions and eleven indicators. The study results revealed that the overall water security condition in Thai river basins has improved during this period. However, a fine-grained analysis at the dimensions and indicator level of water security shows that water productivity and the watershed health dimension are of concern in most river basins. The agricultural water productivity and the wastewater treatment capacity have deteriorated over the years in most basins. Likewise, it emerged that basins need to enhance their water resource management plans to account for future water challenges. The water security assessment framework presented in this study links well to the plans, policies, visions, and strategies developed for water resource management in Thailand. Thus, it can act as a decision-support tool to monitor the effectiveness of these plans and policies developed and arrive at interventions to enhance Thailand's water security.","The authors would like to express their sincere thanks to the Royal Irrigation Department (RID), Thai Meteorological Department (TMD), Department of Water Resources (DWR), Metropolitan Waterworks Authority (MWA), Provincial Waterworks Authority (PWA), Land Development Department (LDD), Pollution Control Department (PCD), Land Development Department (LDD), Department of Disaster Prevention and Mitigation (DDPM) for providing the necessary data required for this study.",,Journal of Environmental Management,,,Agriculture; Rivers; Thailand; Water; Water Supply,2022-08-23,2022,2022-08-23,2022-11,321,,115974,Closed,Article,"Babel, Mukand S; Chapagain, Kaushal; Shinde, Victor R; Prajamwong, Somkiat; Apipattanavis, Somkiat","Babel, Mukand S (Water Engineering and Management, Asian Institute of Technology, Thailand. Electronic address: msbabel@ait.ac.th.); Chapagain, Kaushal (Water Engineering and Management, Asian Institute of Technology, Thailand. Electronic address: kaushalchapagain@gmail.com.); Shinde, Victor R (Water Engineering and Management, Asian Institute of Technology, Thailand. Electronic address: victorshinde@ait.asia.); Prajamwong, Somkiat (Office of the National Water Resources, Bangkok, Thailand. Electronic address: somkiat_pa09@yahoo.com.); Apipattanavis, Somkiat (Office of the National Water Resources, Bangkok, Thailand. Electronic address: skavis@yahoo.com.)","Babel, Mukand S (Asian Institute of Technology)","Babel, Mukand S (Asian Institute of Technology); Chapagain, Kaushal (Asian Institute of Technology); Shinde, Victor R (Asian Institute of Technology); Prajamwong, Somkiat (Office of the National Water Resources, Bangkok, Thailand. Electronic address: somkiat_pa09@yahoo.com.); Apipattanavis, Somkiat (Office of the National Water Resources, Bangkok, Thailand. Electronic address: skavis@yahoo.com.)",6,6,0.86,5.26,,https://app.dimensions.ai/details/publication/pub.1150425936,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 44 Human Society; 4407 Policy and Administration,6 Clean Water and Sanitation
5493,pub.1152098582,10.1016/j.scitotenv.2022.159655,36280054,,Prediction of ecological status of surface water bodies with supervised machine learning classifiers,"Ensuring a good ecological status of water bodies is one of the key challenges of communities and one of the objectives of the European Water Framework Directive. Although recent works identified the most significant stressors affecting the ecological quality of rivers, the ability to predict the overall ecological status of rivers based on a limited amount of easily accessible geospatial data has not been investigated so far. Most of the analyses focus on detailed local modelling and measurements which cannot be systematically applied at regional scales for the purposes of water resources management. The aim of this work is to understand the capabilities of five supervised machine learning classifiers of predicting the ecological status of rivers based on land use, climate, morphology, and water management parameters extracted over the river catchments corresponding to the ecological monitoring stations. Moreover, the performances of machine learning classifiers are compared to the results of the canonical correlation analysis. The method is applied to 360 catchments in Tuscany (central Italy) with a median size of 33.6 km2 and a Mediterranean climate. The results show (i) a significant correlation of ecological status with summer climate (i.e., maximum temperatures and minimum precipitation), land use and water exploitation, (ii) an 80 % precision of Random Forest algorithm to predict ecological status and (iii) higher capability of all classifiers to predict at least good ecological status. In perspective, such predictive capabilities can support decision making in the land and water resources management and highlight strategies for river eco-hydrological conservation.",Declaration of competing interest Fabio Castelli reports financial support was provided by Autorità di Bacino Distrettuale dell'Appennino Settentrionale.,"This work was supported by the Hydrographic District of the Northern Appennines, Florence.",The Science of The Total Environment,,,Environmental Monitoring; Rivers; Water Resources; Water; Supervised Machine Learning,2022-10-21,2022,2022-10-21,2023-01,857,Pt 3,159655,All OA; Hybrid,Article,"Arrighi, Chiara; Castelli, Fabio","Arrighi, Chiara (Department of Civil and Environmental Engineering, Università degli Studi di Firenze, via di S. Marta 3, 50139 Florence, Italy. Electronic address: chiara.arrighi@unifi.it.); Castelli, Fabio (Department of Civil and Environmental Engineering, Università degli Studi di Firenze, via di S. Marta 3, 50139 Florence, Italy.)","Arrighi, Chiara (University of Florence)","Arrighi, Chiara (University of Florence); Castelli, Fabio (University of Florence)",6,6,,3.2,https://doi.org/10.1016/j.scitotenv.2022.159655,https://app.dimensions.ai/details/publication/pub.1152098582,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,15 Life on Land
5424,pub.1166491525,10.1007/s11356-023-31065-8,38030836,,River rejuvenation in urban India for enhancing living conditions through integrated water resources management,"India, being a developing country, faces big challenges in ensuring water, sanitation, and hygiene (WASH) for all. This case study presents the performance evaluation of a large wastewater management and sanitation-related infrastructure in a metropolitan city in North India. “Dravyavati River Project” is the major sanitation program of the water-stressed Jaipur city based on the concept of river rejuvenation of the long-lost Dravyavati River which flows across the city. The project envisages integrated urban water management such that it aims at the collection and treatment of wastewater (sewage network and treatment plants), safe disposal, ensuring continuous unpolluted flow, geological and ecological integrity to strengthen public health, to reduce the impact of water stress on the total water cycle by promoting groundwater recharge, and improvement in biodiversity. The technical assessment is based on the primary and secondary data collection of field samples and laboratory analysis of influent and effluent samples collected from the five sewage treatment plants (STPs). The results suggest that the project has largely delivered the envisaged environment, public well-being, and ecological and socioeconomic benefits, but there are substantial gaps in the conceived outputs and actual performance. The challenge lies in bridging these gaps and overcoming operational inefficiencies to ensure the sustainability of the Dravyavati River rejuvenation.Graphical Abstract","The authors would like to immensely thank the Jaipur Development Authority (JDA), the team of JDA handling the Dravyavati Project, Tata Projects Ltd., and the Operation & Maintenance (O&M) wing of Tata Projects Ltd. for maintaining the sewage treatment plants. We are also grateful to the higher management of Manipal University Jaipur, India, and the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia, for further support and motivation.",This work was supported by Manipal University Jaipur. Ms. Shivon Mehta has received small research support from Manipal University Jaipur during her final year B.Tech. internship.,Environmental Science and Pollution Research,,,"Wastewater; Rivers; Sewage; Water Resources; Social Conditions; Rejuvenation; India; Water Pollutants, Chemical; Environmental Monitoring",2023-11-29,2023,2023-11-29,2024-01,31,1,682-698,Closed,Article,"Mehta, Shivon; Sogani, Monika; Syed, Zainab; Sonu, Kumar; Kumar, Anu; Vyas, Anil Dutt","Mehta, Shivon (Department of Civil and Environmental Engineering, Imperial College London, SW7 2AZ, London, UK); Sogani, Monika (Department of Biosciences, Manipal University Jaipur, 303007, Jaipur, Rajasthan, India); Syed, Zainab (Department of Biosciences, Manipal University Jaipur, 303007, Jaipur, Rajasthan, India); Sonu, Kumar (Department of Mechanical Engineering, Kashi Institute of Technology, Varanasi-Allahabad Rd, 221307, MirzamuradPrayagraj, Uttar Pradesh, India); Kumar, Anu (Commonwealth Scientific and Industrial Research Organisation (CSIRO), Environment, Waite Campus, 5064, Urrbrae, SA, Australia); Vyas, Anil Dutt (Department of Civil Engineering, Manipal University Jaipur, 303007, Jaipur, Rajasthan, India)","Sogani, Monika (Manipal Academy of Higher Education)","Mehta, Shivon (Imperial College London); Sogani, Monika (Manipal Academy of Higher Education); Syed, Zainab (Manipal Academy of Higher Education); Sonu, Kumar (Department of Mechanical Engineering, Kashi Institute of Technology, Varanasi-Allahabad Rd, 221307, MirzamuradPrayagraj, Uttar Pradesh, India); Kumar, Anu (Commonwealth Scientific and Industrial Research Organisation); Vyas, Anil Dutt (Manipal Academy of Higher Education)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1166491525,37 Earth Sciences; 40 Engineering; 4011 Environmental Engineering,6 Clean Water and Sanitation
5389,pub.1144789027,10.1016/j.scitotenv.2022.153198,35063514,,An optimization model for water resources allocation in Dongjiang River Basin of Guangdong-Hong Kong-Macao Greater Bay Area under multiple complexities,"In this research, an interval two-stage stochastic fuzzy-interval credibility constraint programming (ISFICP) method was developed for water resources allocation among multiple water users under complexities and uncertainties. The method could reflect the multiple complexities of water resources management, also trade-offs between the system benefits and violation risks. Dongjiang River (DJR) Basin, which supplies water to several core cities in south China such as Guangzhou, Shenzhen, and Hong Kong, was applied as the real demonstrative case. The water resources system of DJR Basin is particularly complex due to it is the primary source water for Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Through considering multiple complexities and uncertainties of the water resources system, such as natural, economic, and social conditions, ISFICP was developed to obtain potential water-allocation schemes. Probabilistic distribution, fuzzy-interval sets (FIS), and discrete intervals were introduced to represent the multiple uncertainties associated with the multiple complexities. The results indicated that the model could provide practical schemes for local decision-makers under multiple scenarios such as flow levels, credibility levels, and recycling rates.","This research was supported by Key-Area Research and Development Program of Guangdong Province (2020B1111380003), National Natural Science Foundation of China (U20A20117), and Guangdong Provincial Key Laboratory Project (2019B121203011). At the same time, we would much appreciate the editor and the anonymous reviewers for their valuable comments and suggestions.",,The Science of The Total Environment,,,China; Hong Kong; Macau; Resource Allocation; Rivers; Water; Water Resources,2022-01-19,2022,2022-01-19,2022-05,820,,153198,Closed,Article,"Huang, Yaping; Cai, Yanpeng; Xie, Yulei; Zhang, Fan; He, Yanhu; Zhang, Pan; Li, Bowen; Li, Bo; Jia, Qunpo; Wang, Yongyang; Qi, Zixuan","Huang, Yaping (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Cai, Yanpeng (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China. Electronic address: yanpeng.cai@gdut.edu.cn.); Xie, Yulei (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Zhang, Fan (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China.); He, Yanhu (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Zhang, Pan (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Li, Bowen (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Li, Bo (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Jia, Qunpo (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Wang, Yongyang (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Qi, Zixuan (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)","Huang, Yaping (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Xie, Yulei (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Zhang, Fan (Beijing Normal University); He, Yanhu (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Zhang, Pan (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Li, Bowen (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Li, Bo (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Jia, Qunpo (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Wang, Yongyang (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Qi, Zixuan (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)",15,15,1.88,10.92,,https://app.dimensions.ai/details/publication/pub.1144789027,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
5373,pub.1152000898,10.1016/j.scitotenv.2022.159549,36265644,,Relations between physical and ecosystem service flows of freshwater are critical for water resource security in large dryland river basin,"Freshwater ecosystem services are the link between ecological systems and social systems, which is an important guarantee of the freshwater safety particularly in dryland regions. However, more quantitative research has been based on the freshwater ecosystem services of static situations, and less on the flow conditions. We established a comprehensive modeling framework for the analysis of water security pattern based on the physical flow (PF) and ecosystem service flow (ESF) of freshwater. The results for Yellow River Basin showed that the water-scarce area have reduced in the past two decades. The PF of freshwater relieves water stress on an average of 52.1 % of the static water in scarce areas per year. The problem in water-deficient areas meanly lies on the water supply side. These results highlight the importance of PF from the upstream to downstream, which is critical for formulating sustainable management strategies in safeguarding long-term regional freshwater resource security.",This work was supported by the National Natural Science Foundation of China (No. 42041005-5).,,The Science of The Total Environment,,,Ecosystem; Water Resources; Rivers; Fresh Water; Water Supply; Conservation of Natural Resources; China,2022-10-18,2022,2022-10-18,2023-01,857,Pt 3,159549,Closed,Article,"Sun, Siqi; Lü, Yihe; Fu, Bojie","Sun, Siqi (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.); Lü, Yihe (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: lyh@rcees.ac.cn.); Fu, Bojie (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.)","Lü, Yihe (Research Center for Eco-Environmental Sciences; University of Chinese Academy of Sciences)","Sun, Siqi (Research Center for Eco-Environmental Sciences; University of Chinese Academy of Sciences); Lü, Yihe (Research Center for Eco-Environmental Sciences; University of Chinese Academy of Sciences); Fu, Bojie (Research Center for Eco-Environmental Sciences; University of Chinese Academy of Sciences)",20,20,2.53,10.68,,https://app.dimensions.ai/details/publication/pub.1152000898,37 Earth Sciences; 3707 Hydrology; 38 Economics,6 Clean Water and Sanitation
5370,pub.1148263641,10.3390/ijerph19116610,35682195,PMC9180789,"Optimal Planning and Management of Land Use in River Source Region: A Case Study of Songhua River Basin, China","Adjusting land use is a practical way to protect the ecosystem, but protecting water resources by optimizing land use is indirect and complex. The vegetation, soil, and rock affected by land use are important components of forming the water cycle and obtaining clean water sources. The focus of this study is to discuss how to optimize the demands and spatial patterns of different land use types to strengthen ecological and water resources protection more effectively. This study can also provide feasible watershed planning and policy suggestions for managers, which is conducive to the integrity of the river ecosystem and the sustainability of water resources. A watershed-scale land use planning framework integrating a hydrological model and a land use model is established. After quantifying the water retention value of land use types through a hydrological model, a multi-objective land use demands optimization model under various development scenarios is constructed. Moreover, a regional study was completed in the source area of the Songhua River in Northeast China to verify the feasibility of the framework. The results show that the method can be used to optimize land use requirements and obtain future land use maps. The water retention capacity of forestland is strong, about 2500-3000 m3/ha, and there are differences among different forest types. Planning with a single objective of economic development will expand the area of cities and cultivated land, and occupy forests, while multi-objective planning considering ecological and water source protection tends to occupy cultivated land. In the management of river headwaters, it is necessary to establish important forest reserves and strengthen the maintenance of restoration forests. Blindly expanding forest area is not an effective way to protect river headwaters. In conclusion, multi-objective land use planning can effectively balance economic development and water resources protection, and find the limits of urban expansion and key areas of ecological barriers.","We are grateful to the government departments of Jingyu, Fusong, and Antu counties that provided basic data for this research. Thanks to all authors for their efforts.","The project was financially supported by the National Key Research and Development Program of China (No. 2019YFC0409103), named “Technology and model of efficient utilization of groundwater and high-quality mineral water resources”.",International Journal of Environmental Research and Public Health,,"Erqi Xu, Xiaobo Hua",China; Conservation of Natural Resources; Ecosystem; Forests; Rivers; Water,2022-05-28,2022,2022-05-28,,19,11,6610,All OA; Gold,Article,"Duan, Yucong; Tang, Jie; Li, Zhaoyang; Yang, Yao; Dai, Ce; Qu, Yunke; Lv, Hang","Duan, Yucong (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China; College of New Energy and Environment, Jilin University, Changchun 130012, China); Tang, Jie (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China; College of New Energy and Environment, Jilin University, Changchun 130012, China); Li, Zhaoyang (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China; College of New Energy and Environment, Jilin University, Changchun 130012, China); Yang, Yao (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China; College of New Energy and Environment, Jilin University, Changchun 130012, China); Dai, Ce (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China; College of New Energy and Environment, Jilin University, Changchun 130012, China); Qu, Yunke (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China; College of New Energy and Environment, Jilin University, Changchun 130012, China); Lv, Hang (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China; College of New Energy and Environment, Jilin University, Changchun 130012, China)","Li, Zhaoyang (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University)","Duan, Yucong (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University); Tang, Jie (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University); Li, Zhaoyang (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University); Yang, Yao (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University); Dai, Ce (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University); Qu, Yunke (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University); Lv, Hang (Jilin University; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China;, duanyc19@mails.jlu.edu.cn, (Y.D.);, tangjie@jlu.edu.cn, (J.T.);, yangyao18@mails.jlu.edu.cn, (Y.Y.);, daice19@mails.jlu.edu.cn, (C.D.);, quyunke1024@163.com, (Y.Q.);, lvhang19@mails.jlu.edu.cn, (H.L.); Jilin University; Jilin University)",5,5,0.68,2.96,https://www.mdpi.com/1660-4601/19/11/6610/pdf?version=1653736433,https://app.dimensions.ai/details/publication/pub.1148263641,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
5295,pub.1145399590,10.1002/eap.2563,35138679,,Environmental drivers of recruitment in a tropical fishery: Monsoonal effects and vulnerability to water abstraction,"Fisheries and natural water resources across the world are under increasing pressure from human activity, including fishing and irrigated agriculture. There is an urgent need for information on the climatic/hydrologic drivers of fishery productivity that can be readily applied to management. We use a generalized linear mixed model framework of catch curve regression to resolve the key climatic/hydrological drivers of recruitment in Barramundi Lates calcarifer using biochronological (otolith aging) data collected from four river-estuary systems in the Northern Territory, Australia. These models were then used to generate estimates of the year class strength (YCS) outcomes of different water abstraction scenarios (ranging from 10% to 40% abstraction per season/annum) for two of the rivers in low, moderate, and high discharge years. Barramundi YCS displayed strong interannual variation and was positively correlated with regional monsoon activity in all four rivers. River-specific analyses identified strong relationships between YCS and several river-specific hydrology variables, including wet and dry season discharge and flow duration. Water abstraction scenario models based on YCS-hydrology relationships predicted reductions of >30% in YCS in several cases, suggesting that increased water resource development in the future may pose risks for Barramundi recruitment and fishery productivity. Our study demonstrates the importance of the tropical monsoon as a driver of Barramundi recruitment and the potential for detrimental impacts of increased water abstraction on fishery productivity. The biochronological and statistical approaches we used have the potential to be broadly applied to inform policy and management of water resource and fisheries.","ACKNOWLEDGMENTS This research was funded by the Fisheries Research and Development Corporation (FRDC), Project 2015/012, with support from Charles Darwin University (CDU), the NT DITT and the NT DEPWS. The authors gratefully acknowledge Nicole Stubing, Chris Izzo, Skye Barrett, and Leah Fergusson (FRDC), and members of the Northern Territory Research Advisory Committee for their ongoing support and interest in the project. We thank staff from NT DITT and DEPWS for collecting and preparing otoliths and for guidance with the development of the water abstraction scenarios, respectively. We gratefully acknowledge the large number of commercial and recreational fishers who contributed the samples used in our analyses, and acknowledge and pay our respects to the Traditional Owners of the lands and waters on which this research was conducted. CONFLICT OF INTEREST The authors declare no conflict of interest.","Funding information Fisheries Research and Development Corporation, Grant/Award Number: Project 2015/012",Ecological Applications,,,Animals; Fisheries; Humans; Hydrology; Northern Territory; Perciformes; Rivers; Water,2022-04-10,2022,2022-04-10,2022-06,32,4,e2563,Closed,Article,"Crook, David A.; Morrongiello, John R.; King, Alison J.; Adair, Brendan J.; Grubert, Mark A.; Roberts, Brien H.; Douglas, Michael M.; Saunders, Thor M.","Crook, David A. (Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory, Australia; Centre for Freshwater Ecosystems, La Trobe University, Wodonga, Victoria, Australia); Morrongiello, John R. (School of Biosciences, University of Melbourne, Parkville, Victoria, Australia); King, Alison J. (Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory, Australia; Centre for Freshwater Ecosystems, La Trobe University, Wodonga, Victoria, Australia); Adair, Brendan J. (Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory, Australia); Grubert, Mark A. (Department of Industry, Tourism and Trade, Berrimah, Northern Territory, Australia); Roberts, Brien H. (Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, Northern Territory, Australia); Douglas, Michael M. (NESP Northern Australia Environmental Resources Hub, School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, Australia); Saunders, Thor M. (Department of Industry, Tourism and Trade, Berrimah, Northern Territory, Australia)","Crook, David A. (Charles Darwin University; La Trobe University)","Crook, David A. (Charles Darwin University; La Trobe University); Morrongiello, John R. (University of Melbourne); King, Alison J. (Charles Darwin University; La Trobe University); Adair, Brendan J. (Charles Darwin University); Grubert, Mark A. (Department of Industry, Tourism and Trade, Berrimah, Northern Territory, Australia); Roberts, Brien H. (Charles Darwin University); Douglas, Michael M. (University of Western Australia); Saunders, Thor M. (Department of Industry, Tourism and Trade, Berrimah, Northern Territory, Australia)",3,3,0.43,1.3,,https://app.dimensions.ai/details/publication/pub.1145399590,41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4104 Environmental Management,
5275,pub.1166091789,10.1016/j.heliyon.2023.e22509,38034790,PMC10687285,Rapid environmental flow assessment for sustainable water resource management in Tanzania's Lower Rufiji River Basin: A scoping review,"The use of Environmental flow (e-Flow) assessment is a widely adopted approach to facilitate informed decision-making concerning sustainable management and utilization of water resources in river systems. The Lower Rufiji River Basin faces various developmental pressures from several sectors, including hydropower, mining, agriculture, livestock, fishing, and tourism, necessitating effective management of the sub-catchment area to prevent significant environmental impacts. Consequently, it is essential to acquire a comprehensive comprehension of the catchment's attributes, encompassing both climatic and non-climatic factors. Supported by e-Flow batch analysis of the available data at Stiegler's Gorge using the global environmental flow calculator, a scoping review was conducted to determine the status of environmental flow in the lower Rufiji River basin. The findings suggest that, while there has been progress in understanding eFlow estimation, limited data and ecohydrological processes' poor comprehension still present challenges. Hydrological and holistic methodologies are commonly employed in Tanzania; however, uncertainties remain, raising questions concerning trust between decision-making tools and water resource utilization by the public. Climate variability influences e-Flow in the Rufiji River Basin, and the projections under various scenarios indicate an increased temperature, varying rainfall, and humidity levels. Further, the area has been identified as a vulnerable ""hotspot"" where communities face greater climate stressor risks. With the existing and planned developmental projects in the basin, including hydroelectric dams, mining, agriculture, livestock, and fisheries, it is critical to assess e-Flow in the Lower Rufiji River basin to ensure resource sustainability. Advocating for preserving a dynamic environmental flow regime in rivers is recommended, considering the Rufiji River Basin's habitat connectivity. The future research direction should be quantifying the contribution of base flow to the surface flow, and salinity dynamics in the Lower Rufiji River Basin, which can affect the Delta's biodiversity.","Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Offoro N. Kimambo reports financial support was provided by Sokoine University of Agriculture. Offoro N. Kimambo reports a relationship with Sokoine University of Agriculture that includes: employment. Offoro N. Kimambo has patent NONE pending to NONE. NONE. Acknowledgments The study is funded by the Sokoine University of Agriculture Research and Innovation Support phase two (SUARIS2) initiatives (Project Registration No: DPRTC/R/126/CoNAS/8/2022). The authors express their gratitude to the anonymous reviewers and all the authorities who were consulted, and for their contribution of data used in this study.",,Heliyon,,,,2023-11-18,2023,2023-11-18,2023-11,9,11,e22509,All OA; Gold,Article,"Kimambo, Offoro N.; Mbungu, Winfred; Massawe, Goodluck D.; Hamad, Amina A.; Ligate, Elly J.","Kimambo, Offoro N. (Department of Geography and Environmental Studies, College of Natural and Applied Sciences (CoNAS), Sokoine University of Agriculture (SUA), Morogoro, Tanzania); Mbungu, Winfred (Department of Engineering Sciences and Technology, School of Engineering and Technology, SUA); Massawe, Goodluck D. (Department of Policy, Planning and Management, College of Social Sciences and Humanities, SUA); Hamad, Amina A. (Department of Geography and Environmental Studies, College of Natural and Applied Sciences (CoNAS), Sokoine University of Agriculture (SUA), Morogoro, Tanzania); Ligate, Elly J. (Department of Bioscience, CoNAS, SUA)","Kimambo, Offoro N. (Sokoine University of Agriculture)","Kimambo, Offoro N. (Sokoine University of Agriculture); Mbungu, Winfred (Department of Engineering Sciences and Technology, School of Engineering and Technology, SUA); Massawe, Goodluck D. (Department of Policy, Planning and Management, College of Social Sciences and Humanities, SUA); Hamad, Amina A. (Sokoine University of Agriculture); Ligate, Elly J. (Department of Bioscience, CoNAS, SUA)",0,0,,,http://www.cell.com/article/S2405844023097177/pdf,https://app.dimensions.ai/details/publication/pub.1166091789,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,7 Affordable and Clean Energy
5274,pub.1146090882,10.1038/s41598-022-07971-1,35256724,PMC8901762,Evaluation of cooperative and non-cooperative game theoretic approaches for water allocation of transboundary rivers,"Efficient water allocation in a transboundary river basin is a complex issue in water resources management. This work develops a framework for the allocation of transboundary river water between the countries located in the river basin to evaluate the characteristics of allocation approaches. The allocation of river water is obtained based on initial-water conditions, cooperative, and non-cooperative game-theoretic approaches. The initial-conditions water allocation approach assigns 34, 40, and 26% of the Harirud River flow to Afghanistan, Iran, and Turkmenistan, respectively. The game-theoretic cooperative approach assigns 36, 42, and 22% of the river flow to Afghanistan, Iran, and Turkmenistan, respectively. The non-cooperative game-theoretic approach establishes that the most stable water allocation was 42, 38, and 20% of the Harirud River flow for Afghanistan, Iran, and Turkmenistan, respectively. Human and agricultural water-stress criteria are used to evaluate the water allocations in the Harirud River basin. The criterion of human water stress has the largest influence in Iran, and the criterion of agricultural water stress has the smallest influence in Afghanistan. This work’s results indicate the initial-conditions water allocation approach favors Turkmenistan, whereas the cooperative and the non-cooperative game-theoretic approaches favors Iran and Afghanistan, respectively. The results show that the priorities of each country governs water allocation, and cooperation is shown to be necessary to achieve sustainable development.",The authors thank Iran’s National Science Foundation (INSF) for its support for this research.,,Scientific Reports,,,Dehydration; Humans; Iran; Rivers; Sustainable Development; Water Resources,2022-03-07,2022,2022-03-07,,12,1,3991,All OA; Gold,Article,"Mirzaei-Nodoushan, Fahimeh; Bozorg-Haddad, Omid; Loáiciga, Hugo A.","Mirzaei-Nodoushan, Fahimeh (Department of Irrigation & Reclamation Engineering, Faculty of Agricultural Engineering & Technology, College of Agriculture & Natural Resources, University of Tehran, 3158777871, Karaj, Iran); Bozorg-Haddad, Omid (Department of Irrigation & Reclamation Engineering, Faculty of Agricultural Engineering & Technology, College of Agriculture & Natural Resources, University of Tehran, 3158777871, Karaj, Iran); Loáiciga, Hugo A. (Department of Geography, University of California, 93106, Santa Barbara, CA, USA)","Bozorg-Haddad, Omid (University of Tehran)","Mirzaei-Nodoushan, Fahimeh (University of Tehran); Bozorg-Haddad, Omid (University of Tehran); Loáiciga, Hugo A. (University of California, Santa Barbara)",9,9,,6.55,https://www.nature.com/articles/s41598-022-07971-1.pdf,https://app.dimensions.ai/details/publication/pub.1146090882,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,
5273,pub.1152457805,10.1016/j.jenvman.2022.116608,36419292,,"Development of multidimensional water poverty in the Yangtze River Economic Belt, China","As a basic natural and strategic resource, water is of great significance to the sustainable development of economies and societies. Owing to population growth, industrialization, the acceleration of urbanization, and global warming, water poverty is gradually increasing in some parts of the world. Effectively assessing water poverty from different dimensions is still a serious challenge for global water resources planning. This paper establishes a framework of multidimensional water poverty (MWP) from six dimensions: water management, water technology, water assets, water welfare, water resources, and water environment. The measurement model of MWP is built based on the Back Propagation Neural Network (BPNN), and the Spatial Correlation Analysis tool is used to visualize the spatial effects of MWP. The Yangtze River Economic Belt (YREB) was used as a case study and the main factors affecting the MWP of the YREB were determined by the Geodetector. When analyzing the results the following observations were made: (1) In terms of time distribution, the level of MWP in the YREB has gradually increased, and the poverty gap between the upper reaches, as well as the middle and lower reaches, shows an increasing trend. (2) With respect to spatial distribution, there is a continuously increasing agglomeration effect that shows a gradient-increasing distribution pattern of ""West-Central-East."" (3) The MWP in the YREB is mainly affected by these indicators in the three dimensions consisting of water resources, water technology, and water management. Specifically, R&D expenditure as a percentage of GDP, the proportion of water-saving irrigation area in the cultivable land area, the urban daily wastewater treatment capacity, the land surface water resources per capita, and the groundwater resources per capita play an important role in the MWP. Based on the above findings, targeted policy recommendations are proposed to alleviate the MWP in the YREB.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,"This work was supported by the Ministry of Education (MOE) of China, Project of Humanities and Social Sciences [No. 20YJCGJW009], the National Natural Science Foundation of China [No. 72104127 and 71874101], the Major Program of National Social Science Foundation of China [No.19ZDA08], the Center for Reservoir Resettlement, China Three Gorges University [No. 2021KFJJ02].",Journal of Environmental Management,,,Rivers; Water; Water Resources; Poverty; China,2022-11-03,2022,2022-11-03,2023-01,325,Pt A,116608,Closed,Article,"Yuan, Liang; Yang, Dongquan; Wu, Xia; He, Weijun; Kong, Yang; Ramsey, Thomas Stephen; Degefu, Dagmawi Mulugeta","Yuan, Liang (College of Economics and Management, China Three Gorges University, Yichang, 443002, China.); Yang, Dongquan (College of Economics and Management, China Three Gorges University, Yichang, 443002, China. Electronic address: yangdq1849612765@163.com.); Wu, Xia (College of Economics and Management, China Three Gorges University, Yichang, 443002, China; School of Law and Public Administration, China Three Gorges University, Yichang, 443002, China.); He, Weijun (College of Economics and Management, China Three Gorges University, Yichang, 443002, China.); Kong, Yang (School of Business, Hohai University, Nanjing, 210098, China.); Ramsey, Thomas Stephen (College of Economics and Management, China Three Gorges University, Yichang, 443002, China.); Degefu, Dagmawi Mulugeta (College of Economics and Management, China Three Gorges University, Yichang, 443002, China; Department of Architecture Science, Toronto Metropolitan University, Toronto, Canada.)","Yang, Dongquan (China Three Gorges University)","Yuan, Liang (China Three Gorges University); Yang, Dongquan (China Three Gorges University); Wu, Xia (China Three Gorges University); He, Weijun (China Three Gorges University); Kong, Yang (Hohai University); Ramsey, Thomas Stephen (China Three Gorges University); Degefu, Dagmawi Mulugeta (China Three Gorges University; Toronto Metropolitan University)",40,40,3.57,34.08,,https://app.dimensions.ai/details/publication/pub.1152457805,37 Earth Sciences; 3704 Geoinformatics; 44 Human Society,1 No Poverty
5261,pub.1162838796,10.1016/j.jenvman.2023.118670,37517116,,Development and application of a multi-centre cloud platform architecture for water environment management,"To promote the intelligent and accurate management of river basins, especially large basins which involve many catchments, it is highly required to develop a useful platform to effectively coordinate arithmetic resources and data, and simultaneously help to make decisions based on the real-time calculation. In this study, a multi-centre cloud platform architecture called 3L4C was constructed, which includes a Cloud-edge-terminal Layer (3L), data centre, model centre, control centre, and customer-service centre (4C). Data fusion technology and an air-land-water coupled model were constructed. Based on HTML5, JavaScript, and Java, an integrated water environment management platform was created and applied to the Three Gorges Reservoir Basin, China. The platform was tested and successfully used for automatic water quality prediction, water environment pollution analysis and control, early warning of abnormal water quality, and emergency water pollution incident evaluation. This platform quickly and accurately forecasts and perfectly displays past, present and future state of the water environment, and offers beneficial support for management decisions in various water environment departments.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This study was supported by the National Natural Science Foundation of China [Grant No. 41877531]. The authors would like to thank the Environmental Monitoring Center of Sichuan Province, Chongqing City, Hubei Province, China Railway Siyuan Survey And Design Croup co., LID, and the Hydrology Bureau of the Yangtze River Water Resources Commission for providing hydrology, water quality, and other data.",,Journal of Environmental Management,,,Conservation of Natural Resources; Cloud Computing; Water Quality; Water Pollution; Rivers; China,2023-07-28,2023,2023-07-28,2023-10,344,,118670,All OA; Bronze,Article,"Chen, Gang; Zhang, Wanshun; Liu, Xin; Peng, Hong; Zhou, Feng; Wang, Hao; Ke, Qian; Xiao, Boyang","Chen, Gang (School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.); Zhang, Wanshun (School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China; China Institute of Development Strategy and Planning, Wuhan University, Wuhan, 430079, China; School of Water Resources and Hydropower Engineering, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China. Electronic address: wszhang@whu.edu.cn.); Liu, Xin (School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.); Peng, Hong (School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072, China.); Zhou, Feng (School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.); Wang, Hao (School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China; China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.); Ke, Qian (Institute for Housing and Urban Development Studies, Erasmus University Rotterdam, Rotterdam, 3062PA, the Netherlands.); Xiao, Boyang (Powder Metallurgy Research Institute, Central South University, Changsha, 410083, China.)","Zhang, Wanshun (Wuhan University)","Chen, Gang (Wuhan University); Zhang, Wanshun (Wuhan University); Liu, Xin (Wuhan University); Peng, Hong (Wuhan University); Zhou, Feng (Wuhan University); Wang, Hao (Wuhan University; China Institute of Water Resources and Hydropower Research); Ke, Qian (Erasmus University Rotterdam); Xiao, Boyang (Central South University)",3,3,,,https://doi.org/10.1016/j.jenvman.2023.118670,https://app.dimensions.ai/details/publication/pub.1162838796,37 Earth Sciences; 3704 Geoinformatics,6 Clean Water and Sanitation
5225,pub.1153646093,10.1016/j.heliyon.2022.e12323,36582700,PMC9793277,"Impact of artisanal small-scale (gold and diamond) mining activities on the Offin, Oda and Pra rivers in Southern Ghana, West Africa: A scientific response to public concern","The surface water systems of Ghana serve as a major source of drinking water, besides other multi-purpose benefit of hydro-electrical power generation and transportation. Thus, the dependence and benefits from such resources are of national interest. For instance, the Pra river of the South-Western surface water system of Ghana was a major consideration for a projected 5 billion m3 water demand in the year 2020 and ""African Water Vision 2025"". In recent times, the colour state of the Pra river and similar surface water bodies of the Offin and Oda rivers has attracted intense public discussion. The prime issue relates to incessant illegal artisanal gold/diamond mining on or along these rivers. In order to assess the state of these rivers, water samples were taken, and analysed at the Council of Scientific and Industrial Research Laboratory (CSIR, Accra-Ghana) to investigate their physico-chemical quality. The research objective was to assess the extent of their water pollution by measuring physico-chemical parameters of turbidity, colour, pH and content of selected metals. A total of 18 preserved bottled samples [(5 from Offin river and 2 boreholes), 5 from Oda river and 5 from Pra river and 1 borehole)] were analysed, and results compared with portable water standards as defined by the WHO and CSIR (GS-175-1) of Ghana. Results on turbidity, colour, mercury and iron from the river and water samples generally exceed WHO or GS-175-1 limit. The Pra river recorded the most alarming result; range for turbidity (2,010 to 2,745 NTU), colour (3,000 to 4,500 Hz), total suspended solutes (2,240 to 2,570 mg/L) and total dissolved solutes (97.80-99.60 mg/L, excluding 319.00 to 25,440 mg/L). The Oda river shows lowest parameter values among the three rivers, as the areas have been dormant from illegal gold mining for 5 years. Current data suggests polluted river bodies and boreholes, and that none of these water resources meets the portable water consumption criteria unless treated prior to usage. As the current state of the water bodies may incur higher cost of water treatment or purification, an integrated water governance under Ghana's Ministry of Water Resource, Work and Housing, and the Minerals Commission and Environmental Protection Agency are recommended for the management of these valuable water resources.",Special thanks to Mr. Frimpong of Ashanti Region for his immense support during the data collection. We also acknowledge reviewers for contribution and suggestion.,This work was supported by Francis K.B Owusu-Akyaw and the Council for Scientific and Industrial Research Laboratory.,Heliyon,,,,2022-12-16,2022,2022-12-16,2022-12,8,12,e12323,All OA; Gold,Article,"Nunoo, Samuel; Manu, Johnson; Owusu-Akyaw, Francis K.B.; Nyame, Frank K.","Nunoo, Samuel (Department of Earth Sciences, School of Physical and Mathematical Sciences, University of Ghana, Legon, P. O. Box LG 58, Accra, Ghana); Manu, Johnson (Department of Earth Sciences, School of Physical and Mathematical Sciences, University of Ghana, Legon, P. O. Box LG 58, Accra, Ghana); Owusu-Akyaw, Francis K.B. (Department of Earth Sciences, School of Physical and Mathematical Sciences, University of Ghana, Legon, P. O. Box LG 58, Accra, Ghana); Nyame, Frank K. (Department of Earth Sciences, School of Physical and Mathematical Sciences, University of Ghana, Legon, P. O. Box LG 58, Accra, Ghana)","Nunoo, Samuel (University of Ghana)","Nunoo, Samuel (University of Ghana); Manu, Johnson (University of Ghana); Owusu-Akyaw, Francis K.B. (University of Ghana); Nyame, Frank K. (University of Ghana)",8,8,0.84,3.77,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793277,https://app.dimensions.ai/details/publication/pub.1153646093,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
5210,pub.1152757255,10.1007/s11356-022-24050-0,36380179,,"Assessment of future water demand and supply using WEAP model in Dhasan River Basin, Madhya Pradesh, India","Abstract
Understanding the available resources and the needs of those who use them is necessary for the evaluation and allocation of water resources. The main sectors utilizing the basin water resources are agriculture, drinking water, animal husbandry, and industries, and the efficient and rational management of water resources to be distributed among those different sectors of activity is vital. This study attempts to develop an integrated water resource management system for the Dhasan River Basin (DRB) by employing a scenario analysis approach in conjunction with Water Evaluation and Planning Model (WEAP) to analyze trends in water use and anticipated demand between 2015 and 2050, simulating five possible scenarios (I, II, III, IV, and V) as for external driving factors. For the WEAP modeling framework, 2015 was chosen as a current (base) year for which all available information and input data were given to the model and the future demand situation was analyzed for the period 2016–2050 (forecasting period). From the findings, it was observed that for the forecasting period, total water demand, unmet demand, and streamflow were 185.29 Bm3, 117.35 Bm3, and 58.26 Bm3, respectively, in the case of scenario I; 232.34 Bm3, 162.17 Bm3, and 59.87 Bm3 in case of scenario II; 139.40 Bm3, 84.37 Bm3, and 58.15 Bm3 in case of scenario III; 186.15 Bm3, 118.76 Bm3, and 56.98 Bm3 in case of scenario IV; and 181.89 Bm3, 96.87 Bm3, and 53.11 Bm3 in case of scenario V. Results of the study indicated that by 2050, increasing population growth, industrial development, and an increase in the agricultural area will rise the water demand dramatically, posing threats to the environment and humans. Therefore, implementing improved irrigation technologies, advancing agricultural practices on farms, and constructing water conservation and retaining structures could significantly reduce the unmet demands and shortfalls in DRB. Overall findings reveal that the pressure on the Dhasan water resources would increase in the future, and thus several suggestions have been provided to assist decision-makers in sustainable planning and management of water resources to meet future demands.","The authors would like to thank the India Meteorological Department (IMD), Pune and Central Water Commission, Yamuna Basin Organization, Lower Yamuna Division, Agra, Madhya Pradesh Council of Science and Technology, and the State Irrigation and Agriculture Department for providing the datasets used in the study. Many thanks to the scientists of the Research Management and Outreach Division, National Institute of Hydrology, Roorkee, for consistent help to carry out the research. The authors thank the editor and the anonymous referees for their helpful comments.",,Environmental Science and Pollution Research,,,Humans; Water Supply; Water; Rivers; Water Resources; Agriculture; Drinking Water,2022-11-15,2022,2022-11-15,2023-02,30,10,27289-27302,Closed,Article,"Nivesh, Shreya; Patil, Jyoti Parasharam; Goyal, Vikas Chandra; Saran, Bhagwat; Singh, Ajay Kumar; Raizada, Anurag; Malik, Anurag; Kuriqi, Alban","Nivesh, Shreya (ICAR-Mahatma Gandhi Integrated Farming Research Institute, 845429, East Champaran, Bihar, India); Patil, Jyoti Parasharam (National Institute of Hydrology, 247667, Roorkee, Uttarakhand, India); Goyal, Vikas Chandra (National Institute of Hydrology, 247667, Roorkee, Uttarakhand, India); Saran, Bhagwat (Department of Soil & Water Conservation Engineering, College of Technology, G. B. Pant University of Agriculture and Technology, 263145, Pantnagar, Uttarakhand, India); Singh, Ajay Kumar (ICAR-Mahatma Gandhi Integrated Farming Research Institute, 845429, East Champaran, Bihar, India); Raizada, Anurag (ICAR-Mahatma Gandhi Integrated Farming Research Institute, 845429, East Champaran, Bihar, India; ICAR-Central Coastal Agricultural Research Institute, 403402, Old Goa, Goa, India); Malik, Anurag (Punjab Agricultural University, Regional Research Station, 151001, Bathinda, Punjab, India); Kuriqi, Alban (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, 1049-001, Portugal; Civil Engineering Department, University for Business and Technology, 38220, Pristina, Kosovo)","Malik, Anurag (Punjab Agricultural University)","Nivesh, Shreya (ICAR-Mahatma Gandhi Integrated Farming Research Institute, 845429, East Champaran, Bihar, India); Patil, Jyoti Parasharam (National Institute of Hydrology); Goyal, Vikas Chandra (National Institute of Hydrology); Saran, Bhagwat (Govind Ballabh Pant University of Agriculture and Technology); Singh, Ajay Kumar (ICAR-Mahatma Gandhi Integrated Farming Research Institute, 845429, East Champaran, Bihar, India); Raizada, Anurag (ICAR-Mahatma Gandhi Integrated Farming Research Institute, 845429, East Champaran, Bihar, India; Central Coastal Agricultural Research Institute); Malik, Anurag (Punjab Agricultural University); Kuriqi, Alban (University of Lisbon; University for Business and Technology)",19,19,,11.47,,https://app.dimensions.ai/details/publication/pub.1152757255,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
5206,pub.1147621732,10.1016/j.jenvman.2022.115073,35525037,,A simulation-optimization approach for supporting conservative water allocation under uncertainties,"In this paper, a hybrid method integrated unbiased grey model (UGM) and artificial neural network (ANN) into an interval two-stage fuzzy credibility-constrained programming (ITFCP) framework is proposed for water resources allocation of the Yalong River research area. Through the grey correlation analysis and the eXtreme Gradient Boosting (XGboost) algorithm, the economic and social indicators are related to the water demands of different water sectors in different regions can be obtained for building water demand prediction model. According to the unbiased grey prediction of the socio-economic development data of each region in the Yalong River Basin (YRB), water demand prediction models are constructed by using neural network. The establishment of a hybrid two-stage interval fuzzy credibility-constrained programming model can analyze the uncertainties existing in the process of water resources allocation. Taking 2020, 2025, and 2030 as the planning years, the developed model studies and reveals the system benefits at different credibility levels, the water shortage of each user in sub-regions and the water resources allocation situation to provide suggestion for managers to optimize the allocation of water resources. Compared to the previous methods, this integrated model can help decision-makers set management policies more sustainably and profitably.","This research was supported by the Key-Area Research and Development Program of Guangdong Province (2020B1111380003), the National Natural Science Foundation of China (No. U20A20117), and Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0403). The authors are grateful to the editors and the anonymous reviewers for their valuable comments and suggestions, which helped to significantly improve the manuscript.",,Journal of Environmental Management,,,"China; Models, Theoretical; Rivers; Uncertainty; Water; Water Resources; Water Supply",2022-05-04,2022,2022-05-04,2022-08,315,,115073,Closed,Article,"Cai, Yanpeng; Li, Tong; Zhang, Yi; Zhang, Xiaodong","Cai, Yanpeng (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China. Electronic address: yanpeng.cai@gdut.edu.cn.); Li, Tong (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.); Zhang, Yi (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, 100875, China.); Zhang, Xiaodong (School of Environmental Science and Engineering, Shandong University, Qingdao, Shandong, 266237, China.)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Li, Tong (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Zhang, Yi (Beijing Normal University); Zhang, Xiaodong (Shandong University)",4,4,0.75,2.91,,https://app.dimensions.ai/details/publication/pub.1147621732,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
5201,pub.1150430414,10.1016/j.scitotenv.2022.158248,36028023,,"A partial least squares-path model of environmental degradation in the Paraopeba River, for rainy seasons after the rupture of B1 tailings dam, Brumadinho, Brazil","The present study aimed to investigate the rupture of B1 tailings dam of Córrego do Feijão mine, which drastically affected the region of Brumadinho (Minas Gerais, Brazil). The contamination of water resources reached 155.3 km from the dam site. In the river channel, high concentrations of Mn, Al, As and Fe were detected and correlated to the spillage of the tailings in the river. The presence of the tailings also affected the chlorophyll-a content in the water, as well as the reflectance of riparian forests. With the increase of metal(oid) concentrations above permitted levels, water management authorities suspended the use of Paraopeba River as resource in the impacted areas, namely the drinking water supply to the Metropolitan region of Belo Horizonte. This study aimed to evaluate possible links between tailings distribution, river water quality, and environmental degradation, which worked as latent variables in partial least squares regression models. The latent variables were represented by numerous physical and chemical parameters of water and sediment, measured four times in 22 locations during the rainy season of 2019, in addition to stream flow and to NDVI evaluated in satellite images processed daily. The modeling results suggested a relationship between river flow turbulence and increased arsenic release from sand fractions, as well as desorption of Mn from metal oxides, both representing causes of water quality reduction. They also revealed increasing iron concentrations affecting the forest NDVI (greening), which was interpreted as environmental degradation. The increase of chlorophyll-a concentrations (related with turbidity decreases), as well as the increase of river flows (responsible for dilution effects), seemed to work out as attenuators of degradation. Although applied to a specific site, our modeling approach can be transposed to equivalent dam failures and climate contexts, helping water resource management authorities to decide upon appropriate recovery solutions.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This study was funded by the contract n°5500074952 / 5500074950 / 5500074953, signed between the Vale S.A. company and the following research institutions: Fundação de Apoio Universitário; Universidade de Trás-Os-Montes e Alto Douro; e a Fundação Para o Desenvolvimento da Universidade Estadual Paulista Júlio de Mesquita Filho. The author Renato Farias do Valle Junior received a productivity grant from the CNPq – Conselho Nacional de Desenvolvimento Científico e Tecnológico. For the authors integrated in the CITAB research centre, this work was further supported by National Funds of FCT – Portuguese Foundation for Science and Technology, under the project UIDB/04033/2020. The author integrated in the CITAB research centre is also integrated in the Inov4Agro – Institute for Innovation, Capacity Building and Sustainability of Agri-food Production. The Inov4Agro is an Associate Laboratory composed of two RD units (CITAB GreenUPorto). For the author integrated in the CQVR, the research was additionally supported by National Funds of FCT – Portuguese Foundation for Science and Technology, under the projects UIDB/00616/2020 and UIDP/00616/2020. CRediT authorship contribution statement All authors contributed equally to the development of this study.",,The Science of The Total Environment,,,"Arsenic; Brazil; Chlorophyll; Drinking Water; Environmental Monitoring; Iron; Least-Squares Analysis; Rivers; Sand; Seasons; Water Pollutants, Chemical",2022-08-24,2022,2022-08-24,2022-12,851,Pt 1,158248,Closed,Article,"Mendes, Rafaella Gouveia; do Valle Junior, Renato Farias; de Melo Silva, Maytê Maria Abreu Pires; de Morais Fernandes, Gabriel Henrique; Fernandes, Luís Filipe Sanches; Fernandes, António Carlos Pinheiro; Pissarra, Teresa Cristina Tarlé; de Melo, Marília Carvalho; Valera, Carlos Alberto; Pacheco, Fernando António Leal","Mendes, Rafaella Gouveia (Instituto Federal do Triângulo Mineiro (IFTM), Campus Uberaba, Laboratório de Geoprossessamento, Uberaba, MG 38064-790, Brazil.); do Valle Junior, Renato Farias (Instituto Federal do Triângulo Mineiro (IFTM), Campus Uberaba, Laboratório de Geoprossessamento, Uberaba, MG 38064-790, Brazil. Electronic address: renato@iftm.edu.br.); de Melo Silva, Maytê Maria Abreu Pires (Instituto Federal do Triângulo Mineiro (IFTM), Campus Uberaba, Laboratório de Geoprossessamento, Uberaba, MG 38064-790, Brazil. Electronic address: mayte@iftm.edu.br.); de Morais Fernandes, Gabriel Henrique (Instituto Federal do Triângulo Mineiro (IFTM), Campus Uberaba, Laboratório de Geoprossessamento, Uberaba, MG 38064-790, Brazil.); Fernandes, Luís Filipe Sanches (Centro de Investigação e Tecnologias Agroambientais e Biológicas (CITAB), Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013, 5001-801 Vila Real, Portugal. Electronic address: lfilipe@utad.pt.); Fernandes, António Carlos Pinheiro (Centro de Recursos Naturais e Ambiente (CERENA/FEUP), Faculdade de Engenharia, Universidade do Porto, Dr. Roberto Frias st., Porto 4200-465, Portugal. Electronic address: acpf91@utad.pt.); Pissarra, Teresa Cristina Tarlé (Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista (UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP 14884-900, Brazil. Electronic address: teresa.pissarra@unesp.br.); de Melo, Marília Carvalho (Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável, Cidade Administrativa do Estado de Minas Gerais, Rodovia João Paulo II, 4143 Bairro Serra Verde - Belo Horizonte - Minas Gerais, Brazil. Electronic address: marilia.melo@meioambiente.mg.gov.br.); Valera, Carlos Alberto (Coordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande, Rua Coronel Antônio Rios, 951, Uberaba, MG 38061-150, Brazil. Electronic address: carlosvalera@mpmg.mp.br.); Pacheco, Fernando António Leal (Centro de Química de Vila Real (CQVR), Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013, 5001-801 Vila Real, Portugal. Electronic address: fpacheco@utad.pt.)","Pacheco, Fernando António Leal (University of Trás-os-Montes and Alto Douro)","Mendes, Rafaella Gouveia (Instituto Federal do Triângulo Mineiro); do Valle Junior, Renato Farias (Instituto Federal do Triângulo Mineiro); de Melo Silva, Maytê Maria Abreu Pires (Instituto Federal do Triângulo Mineiro); de Morais Fernandes, Gabriel Henrique (Instituto Federal do Triângulo Mineiro); Fernandes, Luís Filipe Sanches (University of Trás-os-Montes and Alto Douro); Fernandes, António Carlos Pinheiro (University of Porto); Pissarra, Teresa Cristina Tarlé (São Paulo State University); de Melo, Marília Carvalho (Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável, Cidade Administrativa do Estado de Minas Gerais, Rodovia João Paulo II, 4143 Bairro Serra Verde - Belo Horizonte - Minas Gerais, Brazil. Electronic address: marilia.melo@meioambiente.mg.gov.br.); Valera, Carlos Alberto (Coordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande, Rua Coronel Antônio Rios, 951, Uberaba, MG 38061-150, Brazil. Electronic address: carlosvalera@mpmg.mp.br.); Pacheco, Fernando António Leal (University of Trás-os-Montes and Alto Douro)",14,14,1.49,6.42,,https://app.dimensions.ai/details/publication/pub.1150430414,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management; 4105 Pollution and Contamination,15 Life on Land
5187,pub.1154441124,10.1007/s10661-022-10908-w,36633701,PMC9836990,An integrated simulation–optimization framework for assessing environmental flows in rivers,"The present study proposes an integrated simulation–optimization framework to assess environmental flow by mitigating environmental impacts on the surface and ground water resources. The model satisfies water demand using surface water resources (rivers) and ground water resources (wells). The outputs of the ecological simulation blocks of river ecosystem and the ground water level simulation were utilized in a multiobjective optimization model in which six objectives were considered in the optimization model including (1) minimizing losses of water supply (2) minimizing physical fish habitat losses simulated by fuzzy approach (3) minimizing spawning habitat losses (4) minimizing ground water level deterioration simulated by adaptive neuro fuzzy inference system(ANFIS) (5) maximizing macroinvertebrates population simulated by ANFIS (6) minimizing physical macrophytes habitat losses. Based on the results in the case study, ANFIS-based model is robust for simulating key factors such as water quality and macroinvertebrate’s population. The results demonstrate the reliability and robustness of the proposed method to balance environmental requirements and water supply. The optimization model increased the percentage of environmental flow in the drought years considerably. It supplies 69% of water demand in normal years, while the environmental impacts on the river ecosystem are minimized. The proposed model balances the portion of using surface water and ground water in water supply considering environmental impacts on both sources. Using the proposed method is recommendable for optimal environmental management of surface water and ground water in river basin scale.",,Open Access funding enabled and organized by CAUL and its Member Institutions.,Environmental Monitoring and Assessment,,,Animals; Ecosystem; Rivers; Environmental Monitoring; Reproducibility of Results; Water Quality,2023-01-12,2023,2023-01-12,2023-02,195,2,292,All OA; Hybrid,Article,"Sedighkia, Mahdi; badrzadeh, Nasrin; Fathi, Zeynab; Abdoli, Asghar; Datta, Bithin","Sedighkia, Mahdi (Australian National University, Canberra, Australia); badrzadeh, Nasrin (Tarbiat Modares University, Tehran, Iran); Fathi, Zeynab (University of Kurdistan, Sanandaj, Iran); Abdoli, Asghar (Tarbiat Modares University, Tehran, Iran); Datta, Bithin (James Cook University, Townsville, Australia)","Sedighkia, Mahdi (Australian National University)","Sedighkia, Mahdi (Australian National University); badrzadeh, Nasrin (Tarbiat Modares University); Fathi, Zeynab (University of Kurdistan); Abdoli, Asghar (Tarbiat Modares University); Datta, Bithin (James Cook University)",3,3,,,https://link.springer.com/content/pdf/10.1007/s10661-022-10908-w.pdf,https://app.dimensions.ai/details/publication/pub.1154441124,37 Earth Sciences; 3707 Hydrology; 38 Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
5182,pub.1152724197,10.1016/j.scitotenv.2022.160176,36395853,,"Copula-based analysis of socio-economic impact on water quantity and quality: A case study of Yitong River, China","Socio-economic development has a significant impact on both water quantity and quality. However, few studies have considered the complex relationship between water quantity and quality when evaluating such impact. In this study, three indicators based on copula model were proposed, namely, water quantity improvement degree (WQIDw), water quality improvement degree (WQIDq) and water quantity and quality joint improvement degree (WQJID). These indicators were used to assess the impact of social economy on water quantity and quality, and applied to a case study in Yitong River in Northeast China from 2021 to 2025. Four scenarios were set to explore the impact of socio-economic development and water resources protection on WQIDw, WQIDq and WQJID. The maximum WQIDw, WQIDq and WQJID were <1 under the business-as-usual scenario, which showed that the present socio-economic pattern caused great damage to river water quantity and quality. The combined effect of socio-economic development and water resources protection increased the WQJID of COD and NH3-N by 1.67 and 1.30. This showed that attention should be paid to water resources protection while developing social economy. Compared with comprehensive evaluation, separate evaluation of water quality will underestimate the impact of social economy on rivers, while separate evaluation of water quantity will overestimate the impact. The relationships between WQIDw, WQIDq and WQJID were quantified. Meanwhile, the uncertainty of the evaluation was controlled by the selection of water quality indicators. The WQIDq, WQIDw and WQJID proposed in this study provide a comprehensive assessment tool for guiding water resources management.",The study was funded by the State Key Program of National Natural Science of China (No. 41530635). The authors much appreciate the editor and the anonymous reviewers for the constructive comments.,,The Science of The Total Environment,,,Rivers; Water Quality; Water Resources; Economic Development; Fresh Water; China,2022-11-14,2022,2022-11-14,2023-02,859,Pt 1,160176,Closed,Article,"Li, Jiaqi; Shen, Zhenyao; Cai, Jianying; Liu, Guowangchen; Chen, Lei","Li, Jiaqi (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, PR China.); Shen, Zhenyao (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, PR China. Electronic address: zyshen@bnu.edu.cn.); Cai, Jianying (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, PR China.); Liu, Guowangchen (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, PR China.); Chen, Lei (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, PR China.)","Shen, Zhenyao (Beijing Normal University)","Li, Jiaqi (Beijing Normal University); Shen, Zhenyao (Beijing Normal University); Cai, Jianying (Beijing Normal University); Liu, Guowangchen (Beijing Normal University); Chen, Lei (Beijing Normal University)",6,6,,4.86,,https://app.dimensions.ai/details/publication/pub.1152724197,37 Earth Sciences; 3707 Hydrology; 44 Human Society; 4407 Policy and Administration,6 Clean Water and Sanitation
5179,pub.1158137883,10.2166/wst.2023.151,37318932,,Assessing water quality in the Dong Nai River (Vietnam): implications for sustainable management and pollution control,"Dong Nai River provides essential water resources for millions of people across 11 provinces and cities in Vietnam. However, the different pollution sources such as household, farming, and industrial operations have caused the river water quality to deteriorate over the past decade. To gain a comprehensive understanding of the river's surface water quality, this study employed the water quality index (WQI) across 12 different sampling sites. In total,144 water samples with 11 parameters were analyzed in accordance with the Vietnamese standard 08:2015/MONRE. Results revealed a range of surface water quality, from poor to good according to the VN-WQI (Vietnamese standard), and a medium even bad level in some months according to the NS-WQI (American standard). The study also identified temperature, coliform, and dissolved oxygen (DO) as strong contributors to WQI values (VN_WQI standard). Principal component analysis/factor analysis was used to determine pollution sources, with the results highlighting agricultural and domestic activities as the main contributors to river pollution. In conclusion, this study underscores the importance of effective planning and management of infrastructure zoning and local activities to improve the river's surface water quality and surrounding areas, as well as safeguard the well-being of the millions who depend on it.",,No funding was obtained for this study.,Water Science & Technology,,,"Humans; Water Quality; Environmental Monitoring; Rivers; Vietnam; Water Pollutants, Chemical; Water Pollution",2023-05-17,2023,2023-05-17,2023-06-01,87,11,2917-2929,All OA; Gold,Article,"Huong, Tran Thi Thu; Quan, Tran Anh; Hanh, Nguyen Thi Hong; Tong, Nguyen Xuan","Huong, Tran Thi Thu (Faculty of Environment, Hanoi University of Mining and Geology (HUMG), No.18, Vien Street, Duc Thang Ward, Bac Tu Liem District, Hanoi, Vietnam); Quan, Tran Anh (Faculty of Environment, Hanoi University of Mining and Geology (HUMG), No.18, Vien Street, Duc Thang Ward, Bac Tu Liem District, Hanoi, Vietnam); Hanh, Nguyen Thi Hong (Faculty of Environment, Hanoi University of Natural Resources and Environment, No. 41 A Phu Dien Road, North-Tu Liem District, Hanoi, Vietnam); Tong, Nguyen Xuan (Institute of Environmental Science, Engineering, and Management; Industrial University of Ho Chi MInh, Vietnam)","Huong, Tran Thi Thu (Hanoi University of Mining and Geology)","Huong, Tran Thi Thu (Hanoi University of Mining and Geology); Quan, Tran Anh (Hanoi University of Mining and Geology); Hanh, Nguyen Thi Hong (Hanoi University of Natural Resources and Environment); Tong, Nguyen Xuan (Institute of Environmental Science, Engineering, and Management; Industrial University of Ho Chi MInh, Vietnam)",1,1,,,https://iwaponline.com/wst/article-pdf/87/11/2917/1239175/wst087112917.pdf,https://app.dimensions.ai/details/publication/pub.1158137883,41 Environmental Sciences; 4104 Environmental Management,
5150,pub.1151184410,10.1016/j.heliyon.2022.e10601,36212010,PMC9535294,A novel indicator for defining plain urban river network cyanobacterial blooms: resource use efficiency,"Increasing eutrophication and climate change have led to heavy cyanobacterial blooms in water diversion sources (e.g., lakes, reservoirs), which can potentially cause algae-bearing water to spread to downstream to an urban river network via diversion channels. Defining the extent of cyanobacterial blooms in an urban river network has become a novel concern in urban river management. In this paper, we investigated the physicochemical and algae community characteristics of a small, closed, urban river network, JiangXinZhou (JXZ), in the Lake Taihu basin. We propose a novel indicator, resource use efficiency (RUE), for defining the extent of cyanobacterial blooms in JXZ, whose recreational drinking water comes entirely from outside diversion sources. The results show that the JXZ's aquatic habitat conditions (mean water temperature, total nitrogen concentration, total phosphorus concentration, and nitrogen to phosphorus ratio) are highly suitable for the proliferation of cyanobacterial biomass during the high-water period. The RUE was used for calculation and shows a strong relationship with algae density, which means that it can be used as an index to define the degree of urban river cyanobacterial blooms. The findings indicate that the risk of cyanobacterial bloom is absent when the RUE is less than 46.81; blooms appear in the water bodies when the RUE reaches up to 106.68. This work provides theoretical support for the sustainable use of regional water resources.",We thank TopEdit (www.topeditsci.com) for its linguistic assistance during the preparation of this manuscript.,"Dr Yifan Su was supported by Jiangsu Water Conservancy Science and Technology project [2021069], Central Public-Interest Scientific Institution Basal Research Fund [Y120012, Y122005].",Heliyon,,,,2022-09-21,2022,2022-09-21,2022-10,8,10,e10601,All OA; Gold,Article,"Su, Yifan; Gan, Lin; Li, Yun; Fan, Ziwu; Xie, Chen; Liu, Yang; Liao, Yipeng; Ding, Rui; Liu, Guoqin; Wu, Jingxiu; Chen, Guangyu; Sun, Jianhao; Zhu, Wenhan; Ma, Jingtian","Su, Yifan (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Gan, Lin (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Li, Yun (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Fan, Ziwu (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Xie, Chen (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Liu, Yang (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Liao, Yipeng (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Ding, Rui (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Liu, Guoqin (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Wu, Jingxiu (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Chen, Guangyu (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Sun, Jianhao (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Zhu, Wenhan (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Ma, Jingtian (Nanjing Hydraulic Research Institute, 210029 Nanjing, China; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China)","Gan, Lin (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Li, Yun (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China)","Su, Yifan (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Gan, Lin (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Li, Yun (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Fan, Ziwu (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Xie, Chen (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Liu, Yang (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Liao, Yipeng (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Ding, Rui (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Liu, Guoqin (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Wu, Jingxiu (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Chen, Guangyu (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Sun, Jianhao (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Zhu, Wenhan (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China); Ma, Jingtian (Nanjing Hydraulic Research Institute; Key Laboratory of Taihu Basin Water Resources Research and Management of Ministry of Water Resources, 210029 Nanjing, China)",1,1,,0.47,http://www.cell.com/article/S2405844022018898/pdf,https://app.dimensions.ai/details/publication/pub.1151184410,41 Environmental Sciences; 4104 Environmental Management,
5143,pub.1152818938,10.1002/ieam.4712,36385728,,Estimation of the capacity for self‐purification of transformed rivers of Khanty‐Mansi Autonomous Okrug‐Yugra (Russia),"This article presents an estimation of the self-purification capacity of rivers flowing through an area of the Ob River basin at Khanty-Mansi Autonomous Okrug-Yugra, which has been significantly transformed by the oil and gas industry. The research was done on the rivers of the Ob River basin in oil fields in 2003-2006 and 2018-2019. The coefficient of mineralization of organic matter has been used as a criterion of the rivers' water self-purification levels. The mineralization coefficient was based on the ratio of numbers of bacteria consuming ammonium nitrogen and polymer substances as well as saprophytic heterotrophic bacteria. According to the results obtained, most rivers draining the oil field area (75% in 2003-2006 and 79% in 2018-2019) were characterized by a low potential for self-purification. The highest level of self-purification criteria was obtained for two rivers: the Ai-Pim River in the Surgut region and the Ovyn'yegan River in the Oktyabrsky region. The high level of self-purification detected with the coeficient of mineralization ensures the maintenance of a certain trophical level and environmental balance of the aquatic ecosystem. Complicated technological processes applied in the oil and gas industry, as well as outdated equipment and poor environmental management, often lead to pipeline accidents and other infrastructure failures. Hazardous pollutants flow into rivers from the watershed area and further into the Gulf of Ob of the Kara Sea. Continuous monitoring of water quality and water resource management based on the results obtained will constitute serious measures to prevent deterioration of aquatic ecosystems. It is necessary to include microbiological parameters in monitoring programs, as this helps to identify the processes of transformation of chemicals found in the river. The use of self-purification assessment methodology for rivers in oil field areas yields effective results in the decision-making process in the sphere of water resource management, significantly reducing ecological risks in the Ob River basin and, as a consequence, in the Arctic region. Integr Environ Assess Manag 2023;19:988-993. © 2022 SETAC.","ACKNOWLEDGMENT The authors are grateful to V. N. Tyurin and O. V. Maslovskaya for their help in compiling maps of the part of the Ob River basin under investigation, as well as to employees of Central Base Laboratory for Ecoanalytical and Technological Studies of Engineering and Economic Implementation Center of “Surgutneftegas” PJSC for their assistance in water sample collection. The authors wish to thank the guest editors of the special series, and anonymous reviewers for their review of the manuscript and their helpful comments. There are no funders to report for this submission. CONFLICT OF INTEREST The authors declare no conflicts of interest.",,Integrated Environmental Assessment and Management,,,Ecosystem; Rivers; Russia; Water Quality; Water Purification; Environmental Monitoring,2022-12-16,2022,2022-12-16,2023-07,19,4,988-993,Closed,Article,"Shornikova, E. A.; Arslanova, M. M.","Shornikova, E. A. (Institute of Natural Science and Engineering, Surgut State University, Surgut, Russia); Arslanova, M. M. (Surgutneftegas, Public Joint Stock Company, Surgut, Russia)","Shornikova, E. A. (Surgut State University)","Shornikova, E. A. (Surgut State University); Arslanova, M. M. (Surgutneftegas, Public Joint Stock Company, Surgut, Russia)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1152818938,31 Biological Sciences; 34 Chemical Sciences; 41 Environmental Sciences,
5140,pub.1145195065,10.1016/j.jenvman.2022.114582,35123200,,"Water-energy-ecosystem nexus modeling using multi-objective, non-linear programming in a regulated river: Exploring tradeoffs among environmental flows, cascaded small hydropower, and inter-basin water diversion projects","Small hydropower (SHP) possesses significant economic, technical, and environmental advantages, and accounts for a large proportion of hydropower development in China. However, the concentrated, cascaded, and diversion-type development of SHP has resulted in long-distance dewatering of river sections, and inter-basin water transfers have led to severe exploitation of water resources and damage to river ecosystems. In this paper, the Datong River Basin, a secondary sub-basin of the Yellow River Basin in China, was selected as the illustrative case, which includes 22 hydropower projects (HPPs) and three inter-basin water diversion projects (WDPs). A nexus system model was established that used weighted multi-objective programming to consider three main objectives: the water resources utilization (local water withdrawal and inter-basin water transfer), energy production (by cascaded HPPs), and riverine environmental conservation. The Tennant method was used to estimate the environmental flows (e-flows) at the cross-sections immediately downstream of the dam/sluice gate and immediately downstream of the hydropower plant of diversion-type HPPs. The decreased percentage of regulated flow in comparison with runoff and the guaranteed rate of e-flow at the control cross-section were introduced to assess the degree of environmental impact to the river. Using a historical series of runoff data during 1956-2016 as the model input (i.e., implicit stochastic method), the Multi-start solver of nonlinear programming of LINGO software was used to conduct optimizations and analyses for multiple scenarios (with/without e-flow, with consideration of various levels of e-flow, and with/without water resources utilization). The sectoral linkages relating to the water-energy-ecosystem (WEE) nexus were quantitatively identified. The possible influences of different boundary conditions (i.e., initial/final reservoir storage, inter-basin water diversion capacity, and climate change) on the WEE nexus were further explored. The present study aims to provide an exemplar for the optimal operation and scientific management of a complicated water resources system in a regulated river with cascaded SHP and inter-basin WDPs.","This research was supported by the National Natural Science Foundation of China (42171024, 51609122, 51609256), the Open Research Fund Program of State Key Laboratory of Hydroscience and Engineering (sklhse-2020-A-07), and the Joint Open Research Fund Program of State key Laboratory of Hydroscience and Engineering and Tsinghua-Ningxia Yinchuan Joint Institute of Internet of Waters on Digital Water Governance (sklhse-2021-Iow06). The authors would like to thank the four anonymous reviewers for their in-depth reviews and constructive comments.",,Journal of Environmental Management,,,Climate Change; Ecosystem; Rivers; Water; Water Resources,2022-02-02,2022,2022-02-02,2022-04,308,,114582,Closed,Article,"Yin, Dongqin; Li, Xiang; Wang, Fang; Liu, Yang; Croke, Barry F W; Jakeman, Anthony J","Yin, Dongqin (College of Land Science and Technology, China Agricultural University, Beijing, China.); Li, Xiang (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China; Key Laboratory of Sediment Science and Northern River Regulation, Ministry of Water Resources, Beijing, China; State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China. Electronic address: lixiang@iwhr.com.); Wang, Fang (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China.); Liu, Yang (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China.); Croke, Barry F W (Fenner School of Environment and Society, Australian National University, Canberra, Australia; Mathematical Sciences Institute, Australian National University, Canberra, Australia.); Jakeman, Anthony J (Fenner School of Environment and Society, Australian National University, Canberra, Australia.)","Li, Xiang (China Institute of Water Resources and Hydropower Research; Ministry of Water Resources of the People's Republic of China; Qinghai University)","Yin, Dongqin (China Agricultural University); Li, Xiang (China Institute of Water Resources and Hydropower Research; Ministry of Water Resources of the People's Republic of China; Qinghai University); Wang, Fang (China Institute of Water Resources and Hydropower Research); Liu, Yang (China Institute of Water Resources and Hydropower Research); Croke, Barry F W (Australian National University); Jakeman, Anthony J (Australian National University)",15,15,1.4,10.92,,https://app.dimensions.ai/details/publication/pub.1145195065,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,7 Affordable and Clean Energy
5130,pub.1146624237,10.1007/s11356-022-19881-w,35347611,,Hydrochemical characteristics and quality assessment of shallow groundwater in Yangtze River Delta of eastern China,"Water resource is in high demand within the Yangtze River Delta, given its developed economy. Long-term exploitation of this resource has posed risks of artificial pollution and seawater intrusion to the shallow groundwater. This study aims to reveal the hydrochemical characteristics and health risks of shallow groundwater in the coastal plain of the Yangtze River Delta, as well as to discuss the possible factors affecting groundwater quality. Standard methods for hydrochemical parameter measurements, water quality assessment, and health risk models were applied to fulfill the objectives of the study. The results showed that the shallow groundwater was slightly alkaline, and the average values of total dissolved solids (TDS) and total hardness (TH) were 930.74 mg/L and 436.20 mg/L, respectively. The main hydrochemical types of groundwater were HCO3–Ca·Mg and HCO3–Ca·Na, accounting for 44.3% and 47.5%, respectively. In addition, As concentration was generally high, with a mean value of 0.0115 mg/L. The principal factors affecting the groundwater components include water-rock interactions (especially silicate), cation exchange, seawater intrusion, and human activities. The data also showed that As is strongly influenced by the redox of Fe, Mn, and NO3−. The results of the groundwater quality evaluation indicated that the shallow groundwater in some regions was unsuitable for drinking and agricultural irrigation. Health risk assessment showed that 44.3% of the water samples had significant health risks, which was attributed to the high As concentration. Therefore, it is urgent to establish long-term As monitoring to maintain sustainable groundwater management and drinking water safety. The results of this study provide essential data for water resource management and human health security in the Yangtze River Delta.",,This project was supported by New Era Health Industry (Group) Co. Ltd. (ZAT2019X01002) and the China Scholarship Council (201708420145).,Environmental Science and Pollution Research,,,"China; Environmental Monitoring; Groundwater; Humans; Rivers; Water Pollutants, Chemical; Water Quality",2022-03-28,2022,2022-03-28,2022-08,29,38,57215-57231,All OA; Green,Article,"Lu, Taotao; Li, Runzhe; Ferrer, Aira Sacha Nadine; Xiong, Shuang; Zou, Pengfei; Peng, Hao","Lu, Taotao (College of Water Resources and Civil Engineering, Hunan Agricultural University, 410128, Changsha, China); Li, Runzhe (Faculty of Public Administration, Shandong Agriculture University, 71011, Taian, China); Ferrer, Aira Sacha Nadine (Department of Hydrology, Bayreuth Center of Ecology and Environmental Research (BAYCEER), University of Bayreuth, 95440, Bayreuth, Germany); Xiong, Shuang (Wuhan Zondy W&R Environmental Technology Co., Ltd, 430078, Wuhan, China); Zou, Pengfei (Yantai New Era Health Industry Chemical Commodity Co., Ltd., 264000, Yantai, China); Peng, Hao (School of Environmental Studies, China University of Geoscience, 430078, Wuhan, China)","Peng, Hao (School of Environmental Studies, China University of Geoscience, 430078, Wuhan, China)","Lu, Taotao (Hunan Agricultural University); Li, Runzhe (Faculty of Public Administration, Shandong Agriculture University, 71011, Taian, China); Ferrer, Aira Sacha Nadine (University of Bayreuth); Xiong, Shuang (Wuhan Zondy W&R Environmental Technology Co., Ltd, 430078, Wuhan, China); Zou, Pengfei (Yantai New Era Health Industry Chemical Commodity Co., Ltd., 264000, Yantai, China); Peng, Hao (School of Environmental Studies, China University of Geoscience, 430078, Wuhan, China)",4,4,,2.45,https://www.researchsquare.com/article/rs-931598/latest.pdf,https://app.dimensions.ai/details/publication/pub.1146624237,37 Earth Sciences; 3705 Geology; 3707 Hydrology,
5126,pub.1160739451,10.1007/s10661-023-11509-x,37452909,,Water quality assessment for organic matter load in urban rivers considering land cover dynamics,"The strategy of considering a model that is comparable to the Soil Conservation Service Curve–Number (SCS-CN) method that employs land use maps to estimate the effects of land use on the water quality has considerable potential for application. This paper presents the LUPC (Land Use Pollutant Contribution) Model to estimate water pollution from the watershed land use obtained by satellite image classification (Sentinel-2). It defines that each land use produces a specific pollutant load per unit area, called Pollutant Standard Index (PSI), which undergoes degradation and/or retention until it reaches the river. This decay estimate is based on a Kernel Function. Organic matter (OM) was the pollutant chosen for the definition of the LUPC model and fractions of labile and refractory organic matter (LOM, ROM). The model was applied to the Barigüi River basin, and five samples were collected at 12 points along the river. Water quality parameters such as dissolved organic carbon (DOC) and UV–Visible absorbance in addition to chemical and biological oxygen demand (COD and BOD), dissolved oxygen (DO), and nitrogen and phosphorus fractions were the reference for modeling purposes. The results indicate that organic loads can be estimated from watershed characteristics, despite influence from seasonal influences captured by the PSI values and the basin shape parameter. Considering its versatile response, the LUPC model can be used for integrated water resources and land use planning and management and be indicator of the potential pollution of rivers by OM.",,,Environmental Monitoring and Assessment,,,"Water Quality; Environmental Monitoring; Rivers; Water Pollution; Water Pollutants, Chemical; Environmental Pollutants; Phosphorus",2023-07-15,2023,2023-07-15,2023-08,195,8,959,All OA; Green,Article,"Leithold, Juliana; Fernandes, Cristovão Vicente Scapulatempo; Rodrigues  de Azevedo, Júlio César; Kaviski, Eloy","Leithold, Juliana (Graduate Program of Water Resources and Environmental Engineering (PPGERHA), Federal University of Paraná (UFPR), Av. Cel. Francisco H. dos Santos - Jardim das Américas, 81531-980, Curitiba, PR, Brazil); Fernandes, Cristovão Vicente Scapulatempo (Department of Hydraulics and Sanitation (DHS), UFPR, Av. Cel. Francisco H. dos Santos – Jardim das Américas, 81531-980, Curitiba, PR, Brazil); Rodrigues  de Azevedo, Júlio César (Department of Chemistry and Biology, Technological Federal University of Paraná (UTFPR), R. Dep. Heitor Alencar Furtado, 5000 - Campo Comprido, 81280-340, Curitiba, PR, Brazil); Kaviski, Eloy (Department of Hydraulics and Sanitation (DHS), UFPR, Av. Cel. Francisco H. dos Santos – Jardim das Américas, 81531-980, Curitiba, PR, Brazil)","Fernandes, Cristovão Vicente Scapulatempo (Federal University of Paraná)","Leithold, Juliana (Federal University of Paraná); Fernandes, Cristovão Vicente Scapulatempo (Federal University of Paraná); Rodrigues  de Azevedo, Júlio César (Federal University of Paraná); Kaviski, Eloy (Federal University of Paraná)",0,0,,,https://www.researchsquare.com/article/rs-2129806/latest.pdf,https://app.dimensions.ai/details/publication/pub.1160739451,37 Earth Sciences; 40 Engineering; 4011 Environmental Engineering; 41 Environmental Sciences,15 Life on Land
5114,pub.1147624066,10.1016/j.scitotenv.2022.155754,35526621,,Using the WEI+ index to evaluate water scarcity at highly regulated river basins with conjunctive uses of surface and groundwater resources,"This paper discusses the role and limitations of using WEI+ as a water resource management tool for highly regulated river basins, with a conjunctive use of surface and groundwater resources. By considering flow regulation by reservoirs and aquifer systems, seasonality of water availability and demand, returns from water uses and environmental flow requirements, WEI+ constitutes an improvement to existing quantitative water scarcity indexes. However, the computation of WEI+ in complex river basins systems requires detailed data on water availability and water allocation to various uses, which are hard to obtain from monitoring records. The paper describes how the combined use of hydrological and water allocation models can help to overcome data gaps in water accounting and contribute to an improved analysis of water scarcity in heterogeneous and intricate river basins. It also examines the information provided by WEI+ and by other widely used water scarcity indexes, such as the Water Stress Index and the Criticality Ratio, as well as discusses the ability of WEI+ to measure the performance of hydraulic systems, usually evaluated by parameters such as reliability, vulnerability, and resilience. The Tagus River transboundary basin was selected as case study due to massive flow regulation by multi-purpose reservoirs and significant seasonality of water availability and demand. Results show the benefits of using WEI+ to define levels of water scarcity, over other indexes. Within the Tagus River systems, high values of WEI+ are reached during the summer months in regions with intensive agriculture, denoting severe water stress conditions in most sub-basins. The analysis also reveals the strong dependence of Portugal, the downstream country, on flows from Spain, the upstream country.",This work was supported by the Portuguese Foundation for Science and Technology (FCT) [grant number PD/BD/135421/2017].,,The Science of The Total Environment,,,Dehydration; Groundwater; Humans; Reproducibility of Results; Rivers; Water Insecurity,2022-05-05,2022,2022-05-05,2022-08,836,,155754,Closed,Article,"Sondermann, Melissa Nogueira; Proença de Oliveira, Rodrigo","Sondermann, Melissa Nogueira (Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal. Electronic address: melissa.sondermann@tecnico.ulisboa.pt.); Proença de Oliveira, Rodrigo (Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal. Electronic address: rodrigopoliveira@tecnico.ulisboa.pt.)","Sondermann, Melissa Nogueira (University of Lisbon)","Sondermann, Melissa Nogueira (University of Lisbon); Proença de Oliveira, Rodrigo (University of Lisbon)",7,7,0.84,5.09,,https://app.dimensions.ai/details/publication/pub.1147624066,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
5100,pub.1150885290,10.1016/j.scitotenv.2022.158646,36089019,,Regional social-ecological system coupling process from a water flow perspective,"The social-ecological system is receiving more and more attention, and water resources have been a focal point for linking social systems and ecosystems, but how to clarify the regional social-ecological system coupling process through the water flow perspective and how to make ecosystem services management decisions still needs further research. This study integrates water quantity and quality and proposes a water-related ecosystem services flow framework. This study applied the framework to the Wuding River watershed and simulated water quantity and quality by SWAT model. The results showed that: (1) there is significant spatial heterogeneity in ecosystem service provisioning and meaningful improvement in water quality under the function of human-made capital in the green phase of the ecosystem services flow; (2) in the red phase, beneficiaries use the water supply for their production and life and discharge >7400 tons pollution loads into the ecosystem; (3) in this process, human-made capital reduces about 35 % of the ammonia pollution, and meanwhile, the ecosystem relies on its environment to further clean up about 44 % of the load. The research framework is suitable for watershed social-ecological systems with simplistic interactions, guiding ecological compensation schemes and related management policies. Furthermore, providing a scientific basis for the sustainable use of regional water resources.","This research was supported by the National Natural Science Foundation of China (Grant No.42071285), the Key RD Program Projects in Shaanxi Province of China (Program No. 2022SF-382), and the Fundamental Research Funds for the Central Universities, Shaanxi Normal University (2021CSLY014, 2021TS013).",,The Science of The Total Environment,,,Humans; Ecosystem; Ammonia; Water Supply; Rivers; Water Resources; Conservation of Natural Resources; China,2022-09-09,2022,2022-09-09,2022-12,853,,158646,Closed,Article,"Wang, Yida; Li, Jing; Wang, Yudan; Bai, Jizhou","Wang, Yida (School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi, China.); Li, Jing (School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi, China. Electronic address: lijing@snnu.edu.cn.); Wang, Yudan (School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi, China.); Bai, Jizhou (School of Geography and Tourism, Shaanxi Normal University, Xi'an, Shaanxi, China.)","Li, Jing (Shaanxi Normal University)","Wang, Yida (Shaanxi Normal University); Li, Jing (Shaanxi Normal University); Wang, Yudan (Shaanxi Normal University); Bai, Jizhou (Shaanxi Normal University)",6,6,0.38,3.01,,https://app.dimensions.ai/details/publication/pub.1150885290,37 Earth Sciences; 3707 Hydrology; 38 Economics; 41 Environmental Sciences; 4104 Environmental Management,
5088,pub.1146287755,10.1016/j.jhazmat.2022.128714,35358764,,Chemical accidents in freshwater: Development of forecasting system for drinking water resources,"Chemical accidents have threatened drinking water safety and aquatic systems when hazardous chemicals flow into inland waterbodies through pipelines in industrial complexes. In this study, a forecasting system was developed for the prevention of drinking water resource pollution by considering chemical transport/fate through both pipelines and river channels. To this end, we coupled a pipe network model (Storm Water Management Model) with a calibrated hydrodynamic model (Environmental Fluid Dynamics Code). In addition, we investigated whether chemical transport through pipelines would make a difference in chemical concentration predictions. For both pipelines and river channels, the results showed lower peak concentrations than those without pipelines, whereas the time of peak concentration did not change significantly. When chemicals were transported with both pipelines and river channels, the peak concentrations were 25.81% and 41.91% lower than those of chemicals carried directly into the Han and Geum Rivers without the pipeline transport. Further, our system is automated from scenario generation to analysis and usage is straightforward, with a simple input of accident information. The results of this study can be utilized to establish a safe water supply system and preliminary countermeasures against accidental water pollution in the future.","This work was supported by the Korea Environment Industry Technology Institute (KEITI) through the Chemical Accident Prevention Technology Development Project, funded by the Korea Ministry of Environment (MOE) (No. 2016001970001). This work was supported by the Korea Environment Industry Technology Institute (KEITI) through the Aquatic Ecosystem Conservation Research Program, funded by the Korea Ministry of Environment (MOE) (2020003030003).",,Journal of Hazardous Materials,,,"Chemical Hazard Release; Drinking Water; Environmental Monitoring; Rivers; Water Pollutants, Chemical",2022-03-16,2022,2022-03-16,2022-06,432,,128714,Closed,Article,"Kim, Soobin; Kim, Minjeong; Kim, Hyein; Baek, Sang-Soo; Kim, Woojung; Kim, Sang Don; Cho, Kyung Hwa","Kim, Soobin (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 44919, Republic of Korea.); Kim, Minjeong (Disposal Safety Evaluation Research Division, Korea Atomic Energy Research Institute (KAERI), 111, Daedeok-daero 989 beon-gil, Yuseong-gu, Daejeon 34057, Republic of Korea.); Kim, Hyein (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 44919, Republic of Korea.); Baek, Sang-Soo (Department of Environmental Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan-Si, Gyeongbuk 38541, South Korea.); Kim, Woojung (School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Republic of Korea.); Kim, Sang Don (School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Republic of Korea.); Cho, Kyung Hwa (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 44919, Republic of Korea. Electronic address: khcho@unist.ac.kr.)","Cho, Kyung Hwa (Ulsan National Institute of Science and Technology)","Kim, Soobin (Ulsan National Institute of Science and Technology); Kim, Minjeong (Korea Atomic Energy Research Institute); Kim, Hyein (Ulsan National Institute of Science and Technology); Baek, Sang-Soo (Yeungnam University); Kim, Woojung (Gwangju Institute of Science and Technology); Kim, Sang Don (Gwangju Institute of Science and Technology); Cho, Kyung Hwa (Ulsan National Institute of Science and Technology)",9,9,0.71,,,https://app.dimensions.ai/details/publication/pub.1146287755,34 Chemical Sciences; 40 Engineering; 41 Environmental Sciences,3 Good Health and Well Being
5078,pub.1144979201,10.1016/j.jenvman.2022.114550,35091245,,Optimal allocation and transaction of waste load permits for transboundary basin: A Bi-level programming approach based on node-arc,"Inadequate water quality exacerbates global water resources scarcity. Hence, water quality of the river basin is increasingly perceived as a global obstacle to sustainable development because of the limited water carrying capacity. Efficient waste load permits (WLPs) allocation plays a critical role in enhancing water quality by controlling the emission cap. Considering transboundary water pollution and transaction among regions, a bi-level objective model is proposed to analyze the WLPs allocation based on the node-arc method. Motivated by alleviating regional development differences, the watershed management committee concentrates on equitable distribution of WLPs to regions. Furthermore, regional authorities focus on how to guarantee the maximum economic development and balance the WLPs emissions from the municipal, industrial, and agricultural sectors. Practicality and efficiency of the constructed model is demonstrated by applying it to Tuojiang River Basin. Through the analysis of the results, three management recommendations are proposed for Tuojiang River: strengthening the prevention of agricultural non-point source pollution, sticking to the cooperation between upstream and downstream regions, and speeding up the construction of sewage environmental tax system. The results illustrate that as the proposed method can control the total amount of sewage, it could provide decision-making references for the amelioration of water environment.","The work is supported by the National Natural Science Foundation of China (Grant No. 71771157), the Fundamental Research Funds for the Central Universities, Sichuan University (Grant No. 2019hhs-19), Funding of Sichuan University (Grant No. skqx201726, SCJJ-14), and Social Science Funding of Sichuan Province (Grant No. SC19TJ005, SC20EZD026), Ministry of Ecology and Environment (Grant No. 2020QT017-K2020A003).",,Journal of Environmental Management,,,China; Conservation of Natural Resources; Non-Point Source Pollution; Rivers; Water Pollution; Water Quality,2022-01-25,2022,2022-01-25,2022-04,307,,114550,Closed,Article,"He, Linhuan; Yao, Liming; Jiang, Hongqiang","He, Linhuan (Business School, Sichuan University, Chengdu, 610065, China.); Yao, Liming (Business School, Sichuan University, Chengdu, 610065, China.); Jiang, Hongqiang (State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100012, China. Electronic address: jianghq@caep.org.cn.)","Jiang, Hongqiang (Chinese Academy for Environmental Planning)","He, Linhuan (Sichuan University); Yao, Liming (Sichuan University); Jiang, Hongqiang (Chinese Academy for Environmental Planning)",8,8,1.75,5.0,,https://app.dimensions.ai/details/publication/pub.1144979201,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
5075,pub.1145844107,10.3390/ijerph19042469,35206657,PMC8879127,"Optimizing the Water Ecological Environment of Mining Cities in the Yangtze River Economic Belt Using the Cloud Model, CV-TOPSIS, and Coupling Coordination Degree","The Yangtze River Economic Belt (YREB) is the core region for the security of mineral resources in China and is a strategic water source containing rich water resources. Coordinating the security of mineral resources and water resources in the YREB is a key problem. Establishing and optimizing the water ecological environment (WEE) is crucial for addressing this problem in mining cities, which are the main bases for the supply of mineral resources. This study applies the cloud model, CV-TOPSIS, the standard deviation ellipse, and the coupling coordination degree model to evaluate the WEE and the coordinated development state, and to optimize the WEE. The results show that: (1) the WEE of mining cities in the YREB is generally good; (2) the protection of WEE in most mining cities has achieved significant results recently, and the results in the downstream are more remarkable than those in the mid-upstream; (3) the coordinated development of WEE in regenerative mining cities is better than that of mature and declining cities; and (4) most mining cities still belong to the lagging type of water environment (heavy metal pollution has been better treated and the threat of water ecological security caused by heavy metal pollution is low). This study suggests improvements to the sewer system, promotes WEE management in the mid-upstream, and propels the transformational development of mature and declining mining cities in advance.","The authors gratefully acknowledge support from the Major Projects of National Natural Science Foundation of China (71991482), the Ministry of Education Philosophy and Social Sciences Fund (19YJZH168), and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan).","This research was funded by the Major Projects of National Natural Science Foundation of China, grant number 71991482; the Ministry of Education Philosophy and Social Sciences Fund, grant number 19YJZH168, and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan).",International Journal of Environmental Research and Public Health,,,China; Cities; Conservation of Natural Resources; Economic Development; Rivers; Water; Water Resources,2022-02-21,2022,2022-02-21,,19,4,2469,All OA; Gold,Article,"Wang, Ran; Lin, Hao; Cheng, Jinhua; Xu, Zixi; Feng, Haoying; Tang, Yameng","Wang, Ran (School of Economic & Management, China University of Geosciences, Wuhan 430074, China;, wangran2cug@163.com; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Lin, Hao (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Cheng, Jinhua (School of Economic & Management, China University of Geosciences, Wuhan 430074, China;, wangran2cug@163.com; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Xu, Zixi (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Feng, Haoying (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Tang, Yameng (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.))","Cheng, Jinhua (China University of Geosciences; China University of Geosciences; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.))","Wang, Ran (China University of Geosciences; China University of Geosciences; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Lin, Hao (China University of Geosciences; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Cheng, Jinhua (China University of Geosciences; China University of Geosciences; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Xu, Zixi (China University of Geosciences; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Feng, Haoying (China University of Geosciences; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.)); Tang, Yameng (China University of Geosciences; Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China;, linhao2020@126.com, (H.L.);, xuzixi163@163.com, (Z.X.);, haoyingfeng@cug.edu.cn, (H.F.);, tangyameng0413@163.com, (Y.T.))",1,1,,0.85,https://www.mdpi.com/1660-4601/19/4/2469/pdf?version=1645436453,https://app.dimensions.ai/details/publication/pub.1145844107,37 Earth Sciences; 3704 Geoinformatics,11 Sustainable Cities and Communities
5075,pub.1147621544,10.1016/j.jconhyd.2022.104020,35640421,,"A bi-level multi-objective programming model for water resources management under compound uncertainties in Dongjiang River Basin, Greater Bay Area of China","To facilitate regional water resources allocation, an integrated bi-level multi-objective programming (IBMP) model with dual random fuzzy variables was developed in this research The proposed model was derived through incorporating dual random fuzzy variables, multi-objective programming, and interval parameter programming within a bi-level optimization framework. This approach improved upon the previous bi-level programming methods and had two advantages. Firstly, it was capable of reflecting tradeoffs among multiple conflict preferences for water related bi-level hierarchical decision-making processes. Secondly, random fuzzy variables were used to tackle the dual uncertainties in both sides of the constraints, which were characterize as probability density functions and discrete intervals. Then, a real-world water resources planning problem was employed for illustrating feasibility of the application of IBMP model in Dongjiang river watershed of south China. Results reflected the alternative decisions for water allocation schemes under a set of probability levels and fuzzy α - cut levels, which can support in-depth analysis of tradeoffs among multiple levels and objective values. Moreover, modeling comparison analysis was undertaken to illustrate the performances of the proposed model.",We would like to express our genuine gratitude to the anonymous reviewers for their valuable suggestions and comments which significantly helped improve the quality of this paper.,"This research was supported by the Key-Area Research and Development Program of Guangdong Province (2020B1111380003), the National Natural Science Foundation of China (No. U20A20117), and Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0403).",Journal of Contaminant Hydrology,,,"China; Models, Theoretical; Rivers; Uncertainty; Water; Water Resources",2022-05-05,2022,2022-05-05,2022-06,248,,104020,All OA; Hybrid,Article,"Cai, Yanpeng; Xiao, Jun; He, Yanhu; Guo, Hongjiang; Xie, Yulei","Cai, Yanpeng (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China. Electronic address: yanpeng.cai@gdut.edu.cn.); Xiao, Jun (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.); He, Yanhu (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.); Guo, Hongjiang (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.); Xie, Yulei (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Xiao, Jun (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); He, Yanhu (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Guo, Hongjiang (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Xie, Yulei (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)",3,3,,2.18,http://manuscript.elsevier.com/S0169772222000687/pdf/S0169772222000687.pdf,https://app.dimensions.ai/details/publication/pub.1147621544,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,
5071,pub.1159692367,10.1016/j.scitotenv.2023.164775,37308015,,Contamination of the urban river network with perfluoroalkyl acids (PFAAs) introduced during river regulations,"River regulation has a key role in water resource management, but the introduced pollutants cannot be underestimated. This study reported spatiotemporal variations of perfluoroalkyl acids (PFAAs) significantly affected by river regulations in a standard example of urban river network with bidirectional flow in China. Perfluoroalkyl sulfonic acids (PFSAs), mostly of domestic origin, dominated during discharge, and perfluoroalkyl carboxylic acids (PFCAs), industrial pollutants, during diversion. The estimated PFAA flux into the Yangtze River during discharge was 1.22 × 102 kg with 62.5 % from Taihu Lake and 37.5 % from the river network. And that from the Yangtze River during diversion was 90.2 kg with 72.2 % into Taihu Lake and 27.8 % into the river network. Our findings show that PFAAs can exert pressure on regional water security that most of the urban river network was at medium risk. This study improves understandings of the role of river regulations in urban water networks and provides solid reference for risk assessment.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This study was supported by the Natural Science Foundation of Jiangsu Province, China (No. BK20211155), National Key RD Program of China (Grant No. 2022YFC3204402), and the National Natural Science Foundation of China (No. 41907388).",,The Science of The Total Environment,,,,2023-06-10,2023,2023-06-10,2023-10,893,,164775,Closed,Article,"Wang, Shuo; Liu, Tong; Qian, Xin; Wang, Hui; Wang, Xuebing; Wei, Si; Chen, Hong","Wang, Shuo (State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.); Liu, Tong (State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Faculty of Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan. Electronic address: liutong@ees.hokudai.ac.jp.); Qian, Xin (State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, China. Electronic address: xqian@nju.edu.cn.); Wang, Hui (State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.); Wang, Xuebing (State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.); Wei, Si (State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.); Chen, Hong (Soil and Environment Analysis Center, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.)","Liu, Tong (Nanjing University; Hokkaido University); Qian, Xin (Nanjing University; Nanjing University of Information Science and Technology)","Wang, Shuo (Nanjing University); Liu, Tong (Nanjing University; Hokkaido University); Qian, Xin (Nanjing University; Nanjing University of Information Science and Technology); Wang, Hui (Nanjing University); Wang, Xuebing (Nanjing University); Wei, Si (Nanjing University); Chen, Hong (Institute of Soil Science)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1159692367,37 Earth Sciences; 3707 Hydrology,
5049,pub.1147501291,10.1007/s11356-022-20405-9,35488151,,Development and synergetic evolution of the water–energy–food nexus system in the Yellow River Basin,"Abstract
The water–energy–food nexus is a complex system where balancing the trade-offs across water, energy, and food sectors is especially difficult in resource-deficient areas. The Yellow River Basin is an area in which water shortages lead to conflicts among water, energy, and food resources. Thus, investigating the evolution state and spatial characteristics of the water–energy–food nexus in the Yellow River Basin is essential for the management of resources and sustainable development orientation of the region’s water–energy–food nexus system. This study proposed an integrated assessment framework by using synergy theory and the integrated index system method. The improved Lotka–Volterra symbiotic model was used to elucidate the development and synergy evolution status of the water–energy–food nexus system in prefecture-level cities in the Yellow River Basin between 2004 and 2019. The results show that the order degree of the water and energy subsystems in the Yellow River Basin increased by an average of 0.12 and 0.42, on average respectively, from 2004 to 2019, whereas that of the food subsystem only increased by an average of 0.004 compared to the initial year. Furthermore, most prefecture-level cities experienced subsystem degradation of one or two subsystems during the evolution of the water–energy–food nexus system. Based on the uniqueness and evolution process of each city, there are eight possibilities for system evolution and three types of feedback state between each pair of subsystems, which may lead to a certain spatial aggregation. Additionally, the interaction and competition states are more common than synergy states in the water–energy–food nexus system of the Yellow River Basin. This study provides an important basis and suggestions for the internal relationship and sustainable orientation of water–energy–food nexus systems in such water-deficient areas.",,"This work was supported by the National Natural Science Foundation of China (No. 41701616), National Social Science Foundation of China (19AJY010) and Innovative Support Program for High-level Personnel of Da Lian (2019RQ145).",Environmental Science and Pollution Research,,,Food; Food Supply; Rivers; Water; Water Supply,2022-04-29,2022,2022-04-29,2022-09,29,43,65549-65564,All OA; Green,Article,"Liu, Sijia; Zhao, Liangshi","Liu, Sijia (Institute of Marine Sustainable Development, Liaoning Normal University, 116029, Dalian, China); Zhao, Liangshi (Institute of Marine Sustainable Development, Liaoning Normal University, 116029, Dalian, China)","Zhao, Liangshi (Liaoning Normal University)","Liu, Sijia (Liaoning Normal University); Zhao, Liangshi (Liaoning Normal University)",11,11,1.83,5.87,https://www.researchsquare.com/article/rs-1163724/latest.pdf,https://app.dimensions.ai/details/publication/pub.1147501291,37 Earth Sciences; 3707 Hydrology,7 Affordable and Clean Energy
5034,pub.1146520593,10.1038/s41598-022-07656-9,35332130,PMC8948252,Water ecological security assessment and spatial autocorrelation analysis of prefectural regions involved in the Yellow River Basin,"To have a more comprehensive understanding of the water ecological security status of the Yellow River Basin, this paper constructs a water ecological security evaluation index system founded on the Pressure-State-Response (PSR) model. The indicators are selected by considering factors such as meteorological conditions, population, economy, water resources, water environment, water ecology, land ecology, ecological service functions, pollution control, and capital investment. Then, the “single index quantification-multiple indices syntheses-poly-criteria integration (SMI-P) method was used to determine the water ecological security index (WESI) of 62 cities in the Yellow River Basin, to classify the safety levels, and combined with the spatial autocorrelation analysis to study the regional characteristics. The results prove that: (a) The overall water ecological security of the Yellow River Basin is relatively poor. Half of the 62 cities have reached the second-level warning level, and most of them are concentrated in the upper and middle reaches of the basin. (b) Wetland area is a long-term key factor in the construction of water ecological safety, and the greening rate of built-up areas has an increasing impact on water ecological safety. (c) The overall water ecological security index shows a slow upward trend, with the annual average growth rate was 0.59%. (d) The water ecological security of 62 cities in the Yellow River Basin shows significant spatial autocorrelation. The findings can offer a practical basis for the water ecological management to promote the high-quality development of the Yellow River Basin.","This work was supported by the Major Science and Technology Projects for Public Welfare of Henan Province (No. 201300311500), the National Key Research and Development Program of China (No. 2021YFC3200201), and Henan Province Water Conservancy Science and Technology Research Project (GG201947). The authors are grateful to the editors and anonymous reviewers for their insightful comments and suggestions.",,Scientific Reports,,,China; Cities; Conservation of Natural Resources; Ecosystem; Rivers; Spatial Analysis; Water,2022-03-24,2022,2022-03-24,,12,1,5105,All OA; Gold,Article,"Qiu, Meng; Zuo, Qiting; Wu, Qingsong; Yang, Zhenlong; Zhang, Jianwei","Qiu, Meng (School of Environmental Science and Engineering, Tianjin University, 300000, Tianjin, China); Zuo, Qiting (School of Water Conservancy Engineering, Zhengzhou University, 450001, Zhengzhou, China; Zhengzhou Key Laboratory of Water Resource and Environment, 450001, Zhengzhou, China); Wu, Qingsong (School of Water Conservancy Engineering, Zhengzhou University, 450001, Zhengzhou, China); Yang, Zhenlong (School of Water Conservancy Engineering, Zhengzhou University, 450001, Zhengzhou, China); Zhang, Jianwei (School of Environmental Science and Engineering, Tianjin University, 300000, Tianjin, China; College of Humanities and Law, Beijing University of Chemical Technology, 100029, Beijing, China)","Zuo, Qiting (Zhengzhou University; Zhengzhou Key Laboratory of Water Resource and Environment, 450001, Zhengzhou, China)","Qiu, Meng (Tianjin University); Zuo, Qiting (Zhengzhou University; Zhengzhou Key Laboratory of Water Resource and Environment, 450001, Zhengzhou, China); Wu, Qingsong (Zhengzhou University); Yang, Zhenlong (Zhengzhou University); Zhang, Jianwei (Tianjin University; Beijing University of Chemical Technology)",43,43,2.63,36.64,https://www.nature.com/articles/s41598-022-07656-9.pdf,https://app.dimensions.ai/details/publication/pub.1146520593,37 Earth Sciences; 3704 Geoinformatics; 38 Economics,
5034,pub.1155254284,10.1016/j.scitotenv.2023.162072,36764555,,A factorial-based dynamic distributive model for virtual-water management in multi-urban agglomerations — A case study of Yangtze River Economic Belt,"The economic development, population growth and rapid urbanization in the Yangtze River Economic Belt (YREB) have resulted in an imbalance between socio-economic development and available water resources of adjacent urban agglomerations. Exploring the virtual water flow (VWF) of adjacent urban agglomerations in YREB is crucial for the collaborative management of water resources. In this study, a factorial-based dynamic distributive model (FDDM) is first developed to analyze the variations in virtual water transfers and inter/inner-sectoral relationships within multi-urban agglomerations, and expound the spatiotemporal diffusion effects of multiple water policy alternatives (and their combinations) for virtual water. The FDDM is applied in YREB's urban agglomerations covering Yangtze River Delta (YRDA), Middle Reach of Yangtze River (MRA) and Chengyu Urban Agglomeration (CYA). The FDDM is capable of i) quantifying the dynamic evolution of direct/indirect virtual water volume and virtual water transfer direction/path between and within urban agglomerations; ii) demonstrating the spatiotemporal changes of the control/dependent relationship within sectors in sub-urban agglomerations, as well as the evolution of utility relationship within the system; iii) evaluating the interactions of different water policies (and their combinations) within each sub-urban agglomeration/key sectors on the direct and indirect virtual water consumption of the system. Our major findings are: (i) YRDA always has the largest direct and indirect water consumption as well as the water consumption intensities from 2007 to 2017; (ii) The three national urban agglomerations have evolved in the direction of benign development; (iii) the interactions between YRDA and MRA, YRDA_FLF (sector of farming, forest, livestock, and fishery in YRDA) and MRA_FTO (sector of food and tobacco processing in MRA) on VWF are obvious. These results will provide a new insight for balancing urban agglomeration development and water resource utilization in YREB.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This research was supported by Major Science and Technology Program for Water Pollution and Treatment (2017ZX07103-001) and the China Postdoctoral Science Foundation (2022M720323).,,The Science of The Total Environment,,,,2023-02-09,2023,2023-02-09,2023-05,871,,162072,Closed,Article,"Wang, Jia; Li, Jun; Zhai, Mengyu","Wang, Jia (National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Beijing University of Technology, Beijing 100124, China.); Li, Jun (National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Beijing University of Technology, Beijing 100124, China. Electronic address: bjutlijun@126.com.); Zhai, Mengyu (Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China.)","Li, Jun (Beijing University of Technology)","Wang, Jia (Beijing University of Technology); Li, Jun (Beijing University of Technology); Zhai, Mengyu (Beijing University of Technology)",3,3,,,,https://app.dimensions.ai/details/publication/pub.1155254284,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 44 Human Society; 4407 Policy and Administration,
5028,pub.1157316966,10.2166/wst.2023.117,37119170,,"Deterministic and probabilistic modeling of microbiological quality using the QUAL-UFMG: a water resource management tool applied on the slope waters of the Grande River, Brazil","The present work presents a methodology for modeling the quality of surface water, aiming at the management of hydrographic basins and the best allocation of resources in the treatment of sanitary sewage, considering the predominant uses of water and microbiological quality. The QUAL-UFMG model was used, composed of Excel spreadsheets, where visual basic for applications (VBA) routines were implemented, enabling deterministic and probabilistic modeling through Monte Carlo simulations. The proposed methodology was applied to a Brazilian hydrographic basin, called the GD2 Planning Unit (Grande River Slopes), considering the discharges of sanitary sewage from 30 municipal seats and approximately 740,000 inhabitants. Four scenarios were studied: the current situation (C-01), the trend for the year 2033 (C-02), compliance with environmental legislation (C-03) and compliance with the main uses of the basin (C-04). The results showed that for C-01 and C-02, the water quality, in terms of thermotolerant coliforms, in most stretches does not meet the defined uses. Even complying with the provisions of environmental legislation (C-03), which do not provide for disinfection, only the largest watercourses would have adequate quality for use. Complete service would only be achieved in C-04, which provides for universal sewage treatment with disinfection for the vast majority of municipalities.",,,Water Science & Technology,,,Environmental Monitoring; Brazil; Sewage; Water Resources; Rivers; Water Quality,2023-04-13,2023,2023-04-13,2023-04-15,87,8,2020-2042,All OA; Gold,Article,"Gomides, Clécio Eustáquio; de Matos, Mateus Pimentel; Fia, Ronaldo; Fonseca, Alysson Rodrigo","Gomides, Clécio Eustáquio (Department of Water Resources, Federal University of Lavras – UFLA, University Campus, P.O. Box 3037, Lavras, MG CEP 37200-900, Brazil); de Matos, Mateus Pimentel (Department of Environmental Engineering, Federal University of Lavras – UFLA, University Campus, P.O. Box 3037, Lavras, MG CEP 37200-900, Brazil); Fia, Ronaldo (Department of Environmental Engineering, Federal University of Lavras – UFLA, University Campus, P.O. Box 3037, Lavras, MG CEP 37200-900, Brazil); Fonseca, Alysson Rodrigo (Department of Agronomic Engineering, State University of Minas Gerais – UEMG, University Campus, 3001 Paraná Avenue, Divinópolis, MG CEP 35501-170, Brazil)","Gomides, Clécio Eustáquio (Federal University of Lavras)","Gomides, Clécio Eustáquio (Federal University of Lavras); de Matos, Mateus Pimentel (Federal University of Lavras); Fia, Ronaldo (Federal University of Lavras); Fonseca, Alysson Rodrigo (Department of Agronomic Engineering, State University of Minas Gerais – UEMG, University Campus, 3001 Paraná Avenue, Divinópolis, MG CEP 35501-170, Brazil)",0,0,,,https://iwaponline.com/wst/article-pdf/doi/10.2166/wst.2023.117/1206794/wst2023117.pdf,https://app.dimensions.ai/details/publication/pub.1157316966,37 Earth Sciences; 3707 Hydrology; 40 Engineering,
5027,pub.1168678741,10.1016/j.jenvman.2024.120276,38330841,,Biogenic elements-informed assessment of the impact of human activities on river ecosystems,"River ecosystems, acting as pivotal conduits linking terrestrial, marine, and atmospheric realms, have faced significant disturbances due to human exploitation of their resources. Recent years have witnessed a heightened intensification of human activities, adversely affecting the equilibrium of water ecosystems. To systematically study the various factors that affect river ecosystems under human activities, we introduce a universally applicable approach that considers the diversity of watersheds, biogenic elements, and human activities. Using this method, this application uncovers the sensitive human activity types, biogenic factors, and species significantly influencing river biodiversity within the study area. Incorporating statistical modelling, sensitivity screening, and advanced correlation analyses within a random forest regression framework, Sensitive biogenic elements and biological types affected by human activities were identified in typical watersheds, and the stability of different aquatic ecosystems was evaluated. Suggestions for watershed management measures were proposed When human activities affect the degree of water resource development and utilization, the forms of sensitive biogenic elements include DIC and Tsi; When human activities affect the discharge of pollutants into rivers, the forms of sensitive biogenic elements include TP, PP, and DEP, and the ratio composition includes TC: TN, TC: TP, TP: TSi, and TN: TP, This study pioneers a novel method for assessing human impacts on river ecosystems and successfully applies this approach to inform management decisions for river segments and tributaries in the middle and upper reaches of the Yangtze River basin. thereby enhancing our understanding of the consequences of human-induced impacts on biodiversity.","Declaration of Competing interest This manuscript has not been published or presented elsewhere in part or in entirety and is not under consideration by another journal. All authors have reviewed and agreed to the submission of this manuscript. We have read and understood the policies of Journal of Environmental Management and we believe that both the manuscript and the study are in full compliance. There are no conflicts of interest to declare. Acknowledgements This work was supported by the National Key Research Program of China (No. 2022YFC3202003), the National Natural Science Foundation of China [No. U2240202, 52122902，52009146]; and the Independent research Project of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (No. SKL2022TS07，SKL2022ZD01).",,Journal of Environmental Management,,,Humans; Ecosystem; Rivers; Environmental Monitoring; Biodiversity; Water; China,2024-02-08,2024,2024-02-08,2024-02,353,,120276,Closed,Article,"Chen, Dingxin; Zeng, Qinghui; Hu, Peng; Yang, Zefan; Yang, Qin; Liu, Huan; Yan, Long; Wang, Weize; A, Yinglan; Wang, Hao","Chen, Dingxin (Tianjin University, State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin 300350, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Zeng, Qinghui (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. Electronic address: qhzeng1990@126.com.); Hu, Peng (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Yang, Zefan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Yang, Qin (State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, 710048, China.); Liu, Huan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Yan, Long (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Wang, Weize (State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, 710048, China.); A, Yinglan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Wang, Hao (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.)","Zeng, Qinghui (China Institute of Water Resources and Hydropower Research)","Chen, Dingxin (Tianjin University; China Institute of Water Resources and Hydropower Research); Zeng, Qinghui (China Institute of Water Resources and Hydropower Research); Hu, Peng (China Institute of Water Resources and Hydropower Research); Yang, Zefan (China Institute of Water Resources and Hydropower Research); Yang, Qin (Xi'an University of Technology); Liu, Huan (China Institute of Water Resources and Hydropower Research); Yan, Long (China Institute of Water Resources and Hydropower Research); Wang, Weize (Xi'an University of Technology); A, Yinglan (China Institute of Water Resources and Hydropower Research); Wang, Hao (China Institute of Water Resources and Hydropower Research)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168678741,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences,15 Life on Land
5027,pub.1163382531,10.1016/j.jtherbio.2023.103682,37634393,,"Hydrothermal impacts of water release on early life stages of white sturgeon in the Nechako river, B.C. Canada","Water temperature plays a crucial role in the physiology of aquatic species, particularly in their survival and development. Thus, resource programs are commonly used to manage water quality conditions for endemic species. In a river system like the Nechako River system, central British Columbia, a water management program was established in the 1980s to alter water release in the summer months to prevent water temperatures from exceeding a 20 °C threshold downstream during the spawning season of Sockeye salmon (Oncorhynchus nerka). Such a management regime could have consequences for other resident species like the white sturgeon (Acipenser transmontanus). Here, we use a hydrothermal model and white sturgeon life stage-specific experimental thermal tolerance data to evaluate water releases and potential hydrothermal impacts based on the Nechako water management plan (1980-2019). Our analysis focused mainly on the warmest five-month period of the year (May to September), which includes the water release management period (July-August). Our results show that the thermal exposure risk, an index that measures temperature impact on species physiology of Nechako white sturgeon across all early life stages (embryo, yolk-sac larvae, larvae, and juvenile) has increased substantially, especially in the 2010s relative to the management program implementations' first decade (the 1980s). The embryonic life stage was the most impacted, with a continuous increase in potential adverse thermal exposure in all months examined in the study. We also recorded major impacts of increased thermal exposure on the critical habitats necessary for Nechako white sturgeon recovery. Our study highlights the importance of a holistic management program with consideration for all species of the Nechako River system and the merit of possibly reviewing the current management plan, particularly with the current concerns about climate change impacts on the Nechako River.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Data availability statement The data that support the findings of this study are openly available at https://doi.org/10.5683/SP3/EJAVVQ. Acknowledgements We would like to thank the two anonymous reviewers for their suggestions and comments. This work was funded by the Canadian Natural Sciences and Engineering Research Council (NSERC) and Rio Tinto as part of a Collaborative Research and Development grant (Grant 18 Number: CRDPJ 523640-18).,,Journal of Thermal Biology,,,,2023-08-19,2023,2023-08-19,2023-10,117,,103682,Closed,Article,"Oyinlola, Muhammed A; Khorsandi, Mostafa; Penman, Rachael; Earhart, Madison L; Arsenault, Richard; Brauner, Colin J; St-Hilaire, Andre","Oyinlola, Muhammed A (Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, 490, rue de la Couronne, Québec G1K 9A9, Canada; Canadian Rivers Institute, UNB Fredericton, 28 Dineen Dr Fredericton, New Brunswick, E3B 5A3, Canada; Department of Zoology, University of British Columbia, 4200-6270 University Blvd., Vancouver, BC V6T 1Z4, Canada. Electronic address: Muhammed.Oyinlola@inrs.ca.); Khorsandi, Mostafa (Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, 490, rue de la Couronne, Québec G1K 9A9, Canada; Canadian Rivers Institute, UNB Fredericton, 28 Dineen Dr Fredericton, New Brunswick, E3B 5A3, Canada.); Penman, Rachael (Department of Zoology, University of British Columbia, 4200-6270 University Blvd., Vancouver, BC V6T 1Z4, Canada.); Earhart, Madison L (Department of Zoology, University of British Columbia, 4200-6270 University Blvd., Vancouver, BC V6T 1Z4, Canada.); Arsenault, Richard (Hydrology, Climate and Climate Change Laboratory, École de technologie supérieure, 1100 Notre-Dame West St., Montreal, QC H3C 1K3, Canada.); Brauner, Colin J (Department of Zoology, University of British Columbia, 4200-6270 University Blvd., Vancouver, BC V6T 1Z4, Canada.); St-Hilaire, Andre (Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, 490, rue de la Couronne, Québec G1K 9A9, Canada; Canadian Rivers Institute, UNB Fredericton, 28 Dineen Dr Fredericton, New Brunswick, E3B 5A3, Canada.)","Oyinlola, Muhammed A (Institut National de la Recherche Scientifique; University of New Brunswick; University of British Columbia)","Oyinlola, Muhammed A (Institut National de la Recherche Scientifique; University of New Brunswick; University of British Columbia); Khorsandi, Mostafa (Institut National de la Recherche Scientifique; University of New Brunswick); Penman, Rachael (University of British Columbia); Earhart, Madison L (University of British Columbia); Arsenault, Richard (École de Technologie Supérieure); Brauner, Colin J (University of British Columbia); St-Hilaire, Andre (Institut National de la Recherche Scientifique; University of New Brunswick)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1163382531,31 Biological Sciences; 3109 Zoology,
5013,pub.1150380976,10.1007/s10661-022-10400-5,35987970,,The responses of river discharge and sediment load to historical land-use/land-cover change in the Mekong River Basin,"The large river basins throughout the world have undergone land-use/land-cover (LULC)-induced changes in river discharge and sediment load. Evaluating these changes is consequently important for efficient management of soil and water resources. In addition, these changes in the transboundary Mekong River Basin (Mekong RB) are not well-known. The present study aimed to investigate the impacts of LULC changes on river discharge and sediment load in the Mekong RB during the period 1980–2015 using Soil and Water Assessment Tool (SWAT). The SWAT model was calibrated and validated using measured data of daily river discharge and monthly sediment load. Analysis of LULC change showed a 2.35% decrease in forest land and a 2.29% increase in agricultural land during the period of 1997–2010. LULC changes in 1997 and 2010 caused increases in river discharge and sediment load by 0.24 to 0.32% and 1.78 to 2.86%, respectively in the study region. Moreover, the river discharge and sediment load of the Mekong River have significantly positive correlation with agricultural land and negative correlation with forest land. The findings give beneficial insights to implement appropriate strategies of water and soil conservation measures to adapt and mitigate the adverse impacts of LULC in the Mekong RB. Further study will consider the impact of future LULC changes and uncertainties associated with the LULC projections for future management of soil and water conservation in the study region.",,This research is funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number “105.06–2019.20.”,Environmental Monitoring and Assessment,,,Environmental Monitoring; Rivers; Soil; Water; Water Movements,2022-08-20,2022,2022-08-20,2022-10,194,10,700,Closed,Article,"Sam, Truong Thao; Khoi, Dao Nguyen","Sam, Truong Thao (Faculty of Environment, University of Science, 227 Nguyen Van Cu Street, Dist. 5, Ho Chi Minh City, Vietnam; Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc Dist, Ho Chi Minh City, Vietnam; Institute for Computational Science and Technology, 700000, Ho Chi Minh City, Vietnam); Khoi, Dao Nguyen (Faculty of Environment, University of Science, 227 Nguyen Van Cu Street, Dist. 5, Ho Chi Minh City, Vietnam; Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc Dist, Ho Chi Minh City, Vietnam)","Khoi, Dao Nguyen (Ho Chi Minh City University of Science; Vietnam National University, Ho Chi Minh City)","Sam, Truong Thao (Ho Chi Minh City University of Science; Vietnam National University, Ho Chi Minh City; Institute for Computational Science and Technology); Khoi, Dao Nguyen (Ho Chi Minh City University of Science; Vietnam National University, Ho Chi Minh City)",12,12,3.28,6.41,,https://app.dimensions.ai/details/publication/pub.1150380976,37 Earth Sciences; 3707 Hydrology,15 Life on Land
5012,pub.1164100532,10.1007/s11356-023-29604-4,37713084,,Water security assessment and driving mechanism in the ecosystem service flow condition,"Water resources are the foundation of human survival and development. Thus, it is essential to quantify the relationship between water supply and demand and assess water security to ensure sustainable use of water resources. In this study, we quantified the relationship between water supply and demand in the Yiluo River Basin (YRB) using the InVEST model, constructed a spatial flow model of water provision service at the sub-watershed scale, and analyzed the water security index (WSI) under static and dynamic conditions. Subsequently, we used geographic detectors to identify the explanatory power of the main influencing factors of the WSI. The results showed that (1) from 2005 to 2018, the water supply decreased continuously and the water demand first increased and then decreased in the YRB; (2) the spatial pattern of WSI showed that it was high in the southwest and low in the northeast, wherein the highest and lowest WSI values occurred in 2005 and 2018, respectively. From 2005 to 2018, the mean values of the static and dynamic WSI decreased from 0.77 to 0.60 and 1.56 to 1.20, respectively. (3) The precipitation factor from the supply dimension and the gross domestic product (GDP) factor from the demand dimension had the strongest explanatory power for the static WSI. For the dynamic WSI, the flow quantity of the water provision service flow had the strongest explanatory power. This study provided a reference for governments to formulate sustainable water resource management.",Thanks to the data collection and processing platform provided by the Major Project Achievements of Key Research Base of Humanities and Social Sciences of the Ministry of Education of China—the Yellow River Civilization and Sustainable Development Research Center of Henan University.,This work was supported by the National Social Science Foundation of China (22BGL196).,Environmental Science and Pollution Research,,,Humans; Water; Ecosystem; Water Supply; Water Resources; Rivers; China; Conservation of Natural Resources,2023-09-15,2023,2023-09-15,2023-10,30,47,104833-104851,Closed,Article,"Fan, Zhuo; Wang, Xiangbiao; Zhang, Hongjuan","Fan, Zhuo (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center On Yellow River Civilization Jointly Built By Henan Province and Ministry of Education, Henan University, 475001, Kaifeng, China); Wang, Xiangbiao (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center On Yellow River Civilization Jointly Built By Henan Province and Ministry of Education, Henan University, 475001, Kaifeng, China); Zhang, Hongjuan (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center On Yellow River Civilization Jointly Built By Henan Province and Ministry of Education, Henan University, 475001, Kaifeng, China)","Zhang, Hongjuan (Henan University)","Fan, Zhuo (Henan University); Wang, Xiangbiao (Henan University); Zhang, Hongjuan (Henan University)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1164100532,38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4983,pub.1144572295,10.3390/ijerph19020743,35055563,PMC8775428,"Analysis of the Water Demand-Supply Gap and Scarcity Index in Lower Amu Darya River Basin, Central Asia","Lower reaches of the Amu Darya River Basin (LADB) is one of the typical regions which is facing the problem of water shortage in Central Asia. During the past decades, water resources demand far exceeds that supplied by the mainstream of the Amu Darya River, and has resulted in a continuous decrease in the amount of water flowing into the Aral Sea. Clarifying the dynamic relationship between the water supply and demand is important for the optimal allocation and sustainable management of regional water resources. In this study, the relationship and its variations between the water supply and demand in the LADB from the 1970s to 2010s were analyzed by detailed calculation of multi-users water demand and multi-sources water supply, and the water scarcity indices were used for evaluating the status of water resources utilization. The results indicated that (1) during the past 50 years, the average total water supply (TWS) was 271.88 × 108 m3/y, and the average total water demand (TWD) was 467.85 × 108 m3/y; both the volume of water supply and demand was decreased in the LADB, with rates of -1.87 × 108 m3/y and -15.59 × 108 m3/y. (2) percentages of the rainfall in TWS were increased due to the decrease of inflow from the Amu Darya River; percentage of agriculture water demand was increased obviously, from 11.04% in the 1970s to 44.34% in 2010s, and the water demand from ecological sector reduced because of the Aral Sea shrinking. (3) the supply and demand of water resources of the LADB were generally in an unbalanced state, and water demand exceeded water supply except in the 2010s; the water scarcity index decreased from 2.69 to 0.94, indicating the status changed from awful to serious water scarcity. A vulnerable balanced state has been reached in the region, and that water shortages remain serious in the future, which requires special attention to the decision-makers of the authority.",,"This research was funded by Stra0tegic Priority Research Program of the Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road (Grant No. XDA20060301), the National Natural Science Foundation of China (Grant No. 42071245), the International Partnership Program of the Chinese Academy of Sciences (Grant No. 131551KYS B20160002) and CAS Interdisplinary Innovation Team (Grant No. JCTD-2019-20).",International Journal of Environmental Research and Public Health,,Paul B. Tchounwou,"Asia, Central; Rivers; Water; Water Resources; Water Supply",2022-01-10,2022,2022-01-10,,19,2,743,All OA; Gold,Article,"Wang, Zheng; Huang, Yue; Liu, Tie; Zan, Chanjuan; Ling, Yunan; Guo, Chenyu","Wang, Zheng (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China); Huang, Yue (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China; China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad 45320, Pakistan); Liu, Tie (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China; China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad 45320, Pakistan); Zan, Chanjuan (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China); Ling, Yunan (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China); Guo, Chenyu (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China)","Huang, Yue (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; Research Center for Ecology and Environment of Central Asia; China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad 45320, Pakistan)","Wang, Zheng (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences); Huang, Yue (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; Research Center for Ecology and Environment of Central Asia; China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad 45320, Pakistan); Liu, Tie (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; Research Center for Ecology and Environment of Central Asia; China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad 45320, Pakistan); Zan, Chanjuan (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences); Ling, Yunan (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences); Guo, Chenyu (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;, wangzheng19@mails.ucas.ac.cn, (Z.W.);, liutie@ms.xjb.ac.cn, (T.L.);, zanchanjuan18@mails.ucas.ac.cn, (C.Z.);, lingyunan18@mails.ucas.ac.cn, (Y.L.);, guochenyu16@mails.ucas.ac.cn, (C.G.); State Key Laboratory of Remote Sensing and Geographic Information System Application, Urumqi 830011, China; University of Chinese Academy of Sciences)",10,10,,7.28,https://www.mdpi.com/1660-4601/19/2/743/pdf?version=1641880156,https://app.dimensions.ai/details/publication/pub.1144572295,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4968,pub.1146685716,10.1016/j.scitotenv.2022.154902,35364142,,Simulation of regional groundwater levels in arid regions using interpretable machine learning models,"Regional groundwater level forecasting is critical to water resource management, especially for arid regions which require effective management of groundwater resources to meet human and ecosystem needs. In this study Machine Learning and Deep Learning approaches - Support Vector Machine, Generalized Regression Neural Network, Decision Tree, Random Forest (RF), Convolutional Neural Network, Long Short Term Memory and Gated Recurrent Network- have been used to simulate the groundwater levels in the lower Tarim River basin (LTRB) which is an extreme dryland. The results showed that models developed here with easily available input data such as relative humidity, flow volume and distance to the riverbank can fully utilize spatiotemporally inconsistent groundwater monitoring data to predict the spatiotemporal variation of the groundwater system in arid regions where exist intermittent flow. The shapely additive explanations method was used to interpret the RF model and discover the effect of meteorological, hydrological and environmental variables on the regional groundwater. These explanations showed that the flow volume, the distance to the river channel and reservoir have a critical impact on groundwater changes. Within 300 m distance to the riverbank, groundwater would mainly be influenced by the flow volume and the distance to the reservoir. While far from the riverbank, these effects decreased gradually further away from the river course. The RF prediction results showed that in the next three years (2021-2023), the groundwater level on average may decline to -6.4 m, and the suitable areas for natural vegetation growth would be limited to 39% if no water conveyance in the LTRB. To guarantee the stability of ecosystems in the LTRB, it is necessary to convey the water annually. These results can support spatiotemporal predictions of groundwater levels predominantly recharged by intermittent flow, and form a scientific basis for sustainable water resources management in arid regions.","This work is supported by the National Natural Science Foundation of China (41972244, 42171042). The authors declare no conflict of interest.",,The Science of The Total Environment,,,Ecosystem; Groundwater; Humans; Machine Learning; Rivers; Water; Water Movements,2022-03-29,2022,2022-03-29,2022-07,831,,154902,Closed,Article,"Liu, Qi; Gui, Dongwei; Zhang, Lei; Niu, Jie; Dai, Heng; Wei, Guanghui; Hu, Bill X","Liu, Qi (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi, Xinjiang, China; College of Life Science and Technology, Jinan University, Guangzhou, Guangdong, China.); Gui, Dongwei (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi, Xinjiang, China. Electronic address: guidwei@ms.xjb.ac.cn.); Zhang, Lei (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi, Xinjiang, China.); Niu, Jie (College of Life Science and Technology, Jinan University, Guangzhou, Guangdong, China. Electronic address: jniu@jnu.edu.cn.); Dai, Heng (State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.); Wei, Guanghui (Xinjiang Tarim River Basin Management Bureau, Korla, Xinjiang, China.); Hu, Bill X (School of Water Conservancy and Environment, University of Jinan, Shandong, China.)","Gui, Dongwei (Xinjiang Institute of Ecology and Geography); Niu, Jie (Jinan University)","Liu, Qi (Xinjiang Institute of Ecology and Geography; Jinan University); Gui, Dongwei (Xinjiang Institute of Ecology and Geography); Zhang, Lei (Xinjiang Institute of Ecology and Geography); Niu, Jie (Jinan University); Dai, Heng (China University of Geosciences); Wei, Guanghui (Xinjiang Tarim River Basin Management Bureau, Korla, Xinjiang, China.); Hu, Bill X (University of Jinan)",39,39,2.23,20.83,,https://app.dimensions.ai/details/publication/pub.1146685716,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4964,pub.1165943501,10.1007/s11356-023-30967-x,37962755,,A review of the management of water resources in Malaysia facing climate change,"This paper reviewed the impacts of climate change on the management of the water sector in Malaysia discussing the current status of water resources, water service, and water-related disasters. The implementation of engineering practices was discussed to provide the detailed assessment of climate change impacts, risks, and adaptation for sustainable development. The narrative methods of reviewing the literatures were used to get an understanding on the engineering practices of water infrastructures, implication of the government policies, and several models as the main motivation behind the concept of integrated water resource management to contribute as part of the sustainable development goals to achieve a better and more sustainable future for all. The findings of this review highlighted the impacts of climate change on the rivers, sea, lakes, dams, and groundwater affecting the availability of water for domestic and industrial water supplies, irrigation, hydropower, and fisheries. The impacts of climate change on the water-related disasters have been indicated affecting drought-flood abrupt alternation and water pollution. Challenges of water management practices facing climate change should be aware of the updated intensity–duration–frequency curves, alternative sources of water, effective water demand management, efficiency of irrigation water, inter-basin water transfer, and nonrevenue water. The transferability of this review findings contribute to an engagement with the society and policy makers to mobilize for climate change adaptation in the water sector.",,This work was supported by Universitas Djuanda and Universiti Teknologi Malaysia and received no specific grant from any funding agency.,Environmental Science and Pollution Research,,,Water Resources; Climate Change; Malaysia; Water Supply; Groundwater,2023-11-14,2023,2023-11-14,2023-12,30,58,121865-121880,Closed,Article,"Fulazzaky, Mohamad Ali; Syafiuddin, Achmad; Muda, Khalida; Martin, Abraham Yazdi; Yusop, Zulkifli; Ghani, Noor Hisham Ab","Fulazzaky, Mohamad Ali (School of Postgraduate Studies, Universitas Djuanda, Jalan Tol Ciawi No. 1, 16720, Ciawi, Bogor, Indonesia; School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, (UTM) Skudai, 81310, Johor Bahru, Malaysia); Syafiuddin, Achmad (Department of Public Health, Faculty of Health, Universitas Nahdlatul Ulama Surabaya, Jalan Raya Jemursari No. 57, 60237, Surabaya, Indonesia); Muda, Khalida (School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, (UTM) Skudai, 81310, Johor Bahru, Malaysia); Martin, Abraham Yazdi (School of Postgraduate Studies, Universitas Djuanda, Jalan Tol Ciawi No. 1, 16720, Ciawi, Bogor, Indonesia); Yusop, Zulkifli (Centre for Environmental Sustainability and Water Security (IPASA), Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Johor, Malaysia); Ghani, Noor Hisham Ab (Water Resources and Climate Change Research Centre, National Hydraulic Research Institute of Malaysia (NAHRIM), 43300, Seri Kembangan, Selangor, Malaysia)","Fulazzaky, Mohamad Ali (Universitas Djuanda; University of Technology Malaysia)","Fulazzaky, Mohamad Ali (Universitas Djuanda; University of Technology Malaysia); Syafiuddin, Achmad (Universitas Nahdlatul Ulama Surabaya); Muda, Khalida (University of Technology Malaysia); Martin, Abraham Yazdi (Universitas Djuanda); Yusop, Zulkifli (University of Technology Malaysia); Ghani, Noor Hisham Ab (Water Resources and Climate Change Research Centre, National Hydraulic Research Institute of Malaysia (NAHRIM), 43300, Seri Kembangan, Selangor, Malaysia)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1165943501,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,13 Climate Action; 6 Clean Water and Sanitation; 7 Affordable and Clean Energy
4962,pub.1149466000,10.1016/j.jenvman.2022.115678,35842990,,Patterns of microbial communities and their relationships with water quality in a large-scale water transfer system,"Revealing the patterns and their mechanisms of microbial community in water transfer projects, especially in inter-basin water transfer projects, is the premise of biohazard warning, water quality monitoring and sustainable management of water resources. Using a river and impounded lakes from the eastern route of South-to-North Water Transfer project as a model system, we studied the diversity and assembly patterns of bacterial communities in artificially connected ecosystems and their influencing factors. Our results showed that water quality improved during the water transfer period (WTP). Further, the latitudinal pattern of bacterioplankton was reversed, which was mainly due to the change of evenness caused by water transfer and had no significant correlation with water quality parameters. Importantly, the spatial heterogeneity of the bacterial communities decreased during the WTP, and the differences in the communities between the impounded lakes and river was more significant in the non-water transfer period (NWTP) than in the WTP, which was the result of water transfer and water quality. Overall, bacterial community was largely shaped by stochastic processes. The bacterial communities had a higher migration rate during the WTP than during the NWTP. We believe that the water transfer increased the risk of biological homogenization while improving water quality. Combined, our work systematically discusses the microbial community pattern and mechanism in the inter-basin water transfer project, providing theoretical support for inter-basin water transfer project planning management and ecological environment protection.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,"This work was supported by the National Natural Science Foundation of China [No. 51979241, 51622901]; The authors would also like to thank all staff and students that helped with field sample collection and Water chemistry experiment.",Journal of Environmental Management,,,Bacteria; China; Lakes; Microbiota; Rivers; Water Quality; Water Resources,2022-07-14,2022,2022-07-14,2022-10,319,,115678,Closed,Article,"Liu, Yaping; Pan, Baozhu; Zhu, Xinzheng; Zhao, Xiaohui; Sun, He; He, Haoran; Jiang, Wanxiang","Liu, Yaping (State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, Shaanxi, PR China.); Pan, Baozhu (State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, Shaanxi, PR China. Electronic address: zhuzipan@xaut.edu.cn.); Zhu, Xinzheng (State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, Shaanxi, PR China.); Zhao, Xiaohui (State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, Shaanxi, PR China.); Sun, He (College of Life Sciences, Northwest A&F University, Yangling 712100, Shaanxi, PR China.); He, Haoran (College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, Shaanxi, PR China.); Jiang, Wanxiang (College of Life Sciences, Zaozhuang University, Zaozhuang 277160, Shandong, PR China.)","Pan, Baozhu (Xi'an University of Technology)","Liu, Yaping (Xi'an University of Technology); Pan, Baozhu (Xi'an University of Technology); Zhu, Xinzheng (Xi'an University of Technology); Zhao, Xiaohui (Xi'an University of Technology); Sun, He (North West Agriculture and Forestry University); He, Haoran (North West Agriculture and Forestry University); Jiang, Wanxiang (Zaozhuang University)",12,12,1.25,8.27,,https://app.dimensions.ai/details/publication/pub.1149466000,31 Biological Sciences; 3103 Ecology; 3107 Microbiology; 37 Earth Sciences; 38 Economics; 3801 Applied Economics,
4943,pub.1157519540,10.1007/s11356-023-27142-7,37099101,,"Identifying the water quality variation characteristics and their main driving factors from 2008 to 2020 in the Yellow River Basin, China","Abstract
Understanding of the water quality dynamics and their main influence factors is crucial for sustainable water environment management especially in the sensitive ecosystem area. Here, the spatiotemporal dynamic of water quality in the Yellow River Basin from 2008 to 2020 and its relationship with physical geography, human activities, and meteorology were studied by using Pearson correlation test, and a generalized linear model. The results showed that water quality was significantly improved since 2008, which was reflected from the decreasing trend of the permanganate index (CODMn) and ammonia nitrogen (NH3-N), and increasing trend of the dissolved oxygen (DO). However, the total nitrogen (TN) remained severely polluted with average annual concentration inferior to level V. Spatially speaking, the water quality in the upper and lower reaches was better than that of the middle reaches. The whole basin was severely contaminated by TN with 2.62 ± 1.52, 3.91 ± 1.71, and 2.91 ± 1.20 mg L−1 from upper, middle, and lower reaches, respectively. Thus, TN should be paid much attention in the water quality management of the Yellow River Basin. The water quality improvement could be attributed to the reduction of pollution discharges and ecological restoration. Further analysis found the variation of water consumption and increase of forest and wetland area contributed 39.90% and 47.49% for CODMn and 58.92% and 30.87% for NH3-N, respectively. Meteorological variables and total water resources contributed slightly. This study is expected to provide in-depth insights for the water quality dynamics and their response to human activities and natural factors in the Yellow River Basin, which could provide theoretical references for water quality protection and management.",,"This study was supported by the National Key Research and Development Program of China (no. 2022YFC3201902), Fundamental Research Funds for the Central Universities (FRF-TP-20-059A1), and the Open Foundation of State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences (no. SKLECRA2021OFP02).",Environmental Science and Pollution Research,,,"Humans; Water Quality; Rivers; Environmental Monitoring; Ecosystem; Water Pollutants, Chemical; China; Nitrogen",2023-04-26,2023,2023-04-26,2023-05,30,25,66753-66766,Closed,Article,"Liu, Shasha; Qiu, Yue; Fu, Rui; Liu, Yun; Suo, Chengyu","Liu, Shasha (School of Energy and Environmental Engineering, University of Science and Technology Beijing, 100083, Beijing, China); Qiu, Yue (School of Energy and Environmental Engineering, University of Science and Technology Beijing, 100083, Beijing, China); Fu, Rui (School of Energy and Environmental Engineering, University of Science and Technology Beijing, 100083, Beijing, China); Liu, Yun (China National Environmental Monitoring Center, 100012, Beijing, China); Suo, Chengyu (School of Energy and Environmental Engineering, University of Science and Technology Beijing, 100083, Beijing, China)","Liu, Yun (China National Environmental Monitoring Center)","Liu, Shasha (University of Science and Technology Beijing); Qiu, Yue (University of Science and Technology Beijing); Fu, Rui (University of Science and Technology Beijing); Liu, Yun (China National Environmental Monitoring Center); Suo, Chengyu (University of Science and Technology Beijing)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1157519540,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,
4936,pub.1146558924,10.1038/s41598-022-09318-2,35338227,PMC8956590,Effect of an improved agricultural irrigation scheme with a hydraulic structure for crop cultivation in arid northern Afghanistan using the Soil and Water Assessment Tool (SWAT),"The current study focuses on water scarcity, water shortages, and inequal water allocation for downstream water users in the Balkhab River basin (BRB) in northern Afghanistan. The Soil and Water Assessment Tool (SWAT) was utilized to determine the hydrological process in the watershed and assess the water resource capacity. The model was calibrated and validated to ensure proper model setup for the entire watershed. The analysis of the current water management and allocation scheme indicated inadequate water distributions for the downstream irrigation canals. The current water allocation approach was modified based on crop water requirements and the available agricultural lands. A new irrigation scheme was proposed and included in the SWAT model that does not decrease upstream water allocation. The annual streamflow in the Balkhab River can supply the extra allocated water downstream without influencing the upstream water. Notably, a dam was proposed in the middle stream to store water during the winter and early spring seasons, as well as floodwater. The model outcomes showed that the existing annual streamflow in the river can fully support the irrigation of currently available land and an extra 18,470.6 ha of agricultural lands in the BRB. The results of this study can contribute to scientific evidence-based policy and decision-making processes for sustainable agricultural water resource management and flood control in the study region.","The first author is supported by the Project for the Promotion and Enhancement of the Afghan Capacity for Effective Development (PEACE), JICA, Japan.","The first author is supported by the Afghan PEACE programme of the Japan International Cooperation Agency (JICA), Japan.",Scientific Reports,,,Afghanistan; Agricultural Irrigation; Hydrology; Soil; Water,2022-03-25,2022,2022-03-25,,12,1,5186,All OA; Gold,Article,"Hussainzada, Wahidullah; Lee, Han Soo","Hussainzada, Wahidullah (Transdisciplinary Science and Engineering Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima, 739-8529, Hiroshima, Japan; Water and Environment Engineering Department, Mining and Environment Engineering Faculty, Balkh University, Mazar-i-Sharif, Afghanistan); Lee, Han Soo (Transdisciplinary Science and Engineering Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima, 739-8529, Hiroshima, Japan)","Lee, Han Soo (Hiroshima University)","Hussainzada, Wahidullah (Hiroshima University; Balkh University); Lee, Han Soo (Hiroshima University)",9,9,,4.81,https://www.nature.com/articles/s41598-022-09318-2.pdf,https://app.dimensions.ai/details/publication/pub.1146558924,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4932,pub.1166403330,10.1371/journal.pone.0294951,38011157,PMC10681251,Can intergovernmental cooperative policies promote water ecology improvement—An analysis based on water quality data from China’s general environmental monitoring station,"To strengthen cooperation among local governmental departments and improve water ecology, China has proposed the river management policy ""river chief system + procurator"". However, it remains to be verified that intergovernmental cooperative policies contribute to the improvement of China's water ecology. Based on data from 87 national water quality monitoring sites released by the China Environmental Monitoring Station from 2015 to 2022, this paper constructed a multiperiod differences-in-differences model to evaluate the effectiveness of the cooperative governmental policy, the ""river chief system + procurator"", on the improvement of the water quality of rivers and lakes. The results of the study show that cooperative government policy helps to improve the water environment of rivers and lakes, which means that the implementation of the ""river chief system + procurator"" policy has significantly improved water quality conditions where implemented. In addition, further analysis revealed that intergovernmental cooperative policies had a limited impact on relevant indicators of river and lake pollutants that are more susceptible to different pollution sources compared to the comprehensive indicator of water quality class. This study helps further the understanding of the effects of cooperative intergovernmental policies and the policy practice of environmental governance in China.",We thank the Academic Editor and the reviewers for their useful feedback that improved this paper.,"This research was funded by National Social Science Foundation Youth Program of China, grant number 23CZZ013(DY) and the Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China, grant number 22YJC810001(DY). There was no additional external funding received for this study.",PLOS ONE,,Chaohai Shen,Water Quality; Conservation of Natural Resources; Environmental Policy; Environmental Monitoring; Rivers; Lakes; China,2023-11-27,2023,2023-11-27,,18,11,e0294951,All OA; Gold,Article,"Ding, Yu; Gong, Chen","Ding, Yu (School of Politics and International Studies, Central China Normal University, Wuhan, Hubei, China); Gong, Chen (School of Politics and International Studies, Central China Normal University, Wuhan, Hubei, China)","Ding, Yu (Central China Normal University)","Ding, Yu (Central China Normal University); Gong, Chen (Central China Normal University)",0,0,,,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294951&type=printable,https://app.dimensions.ai/details/publication/pub.1166403330,37 Earth Sciences; 44 Human Society; 4407 Policy and Administration,4 Quality Education; 6 Clean Water and Sanitation
4923,pub.1125547647,10.1016/j.jenvman.2020.110354,32174519,,"Indicators of hydrological sustainability, governance and water resource regulation in the Moju river basin (PA) – Eastern Amazonia","Water is one of the natural resources most impacted by the development model adopted in Brazil. This is related to the widespread sense that water is abundant in the country, which makes it difficult to fully engage all levels of government. However, this sense of abundance also obscures the real problems of pollution, demand, availability and water resources conflicts. This study aims to strengthen water management and contribute to the evaluation of the processes of development in the northeast region of the state of Pará. This study uses Hydrographic Basin Sustainability Indices to consider the hydrological, environmental, social and water resources management situation of the Moju River Basin and to suggest a payment model for the use of its water resources. The results indicate that the existing framework of water use regulation is characterized by moderate sustainability and governance scores and a low degree of collection of fees for the use of water. In general, with the increase in the number of enterprises authorized to withdraw water from and release effluents into the river, there is a lack of information about water demand and availability. The water governance framework is characterized by poorly integrated environmental and water management common to most Amazonian municipalities. Thus, the Moju River Basin represents a pattern of unsatisfactory water resources management. This pattern highlights the importance of implementing existing water resources and environmental policies to reduce conflicts that involve land and water use.","This study was funded in part by the Coordination for the Improvement of Higher Education Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES) of Brazil under Finance Code 001.",,Journal of Environmental Management,,,Brazil; Hydrology; Natural Resources; Rivers; Water Resources,2020-03-11,2020,2020-03-11,2020-06,263,,110354,Closed,Article,"Ferreira, Susane Cristini Gomes; de Lima, Aline Maria Meiguins; Corrêa, José Augusto Martins","Ferreira, Susane Cristini Gomes (Federal University of Pará. Belém, Pará, Brazil; Scholar of the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq), Brazil); de Lima, Aline Maria Meiguins (Geoscience Institute. Federal University of Pará. Belém, Pará, Brazil); Corrêa, José Augusto Martins (Geoscience Institute. Federal University of Pará. Belém, Pará, Brazil)","Ferreira, Susane Cristini Gomes (Federal University of Para; Scholar of the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq), Brazil)","Ferreira, Susane Cristini Gomes (Federal University of Para; Scholar of the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq), Brazil); de Lima, Aline Maria Meiguins (Federal University of Para); Corrêa, José Augusto Martins (Federal University of Para)",5,4,,1.33,,https://app.dimensions.ai/details/publication/pub.1125547647,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4923,pub.1160762938,10.1007/s11356-023-28537-2,37458889,,"Detecting the main driving force of runoff change in the Beiluo River Basin, China","Understanding the evolution of runoff and identifying the main driving force of hydrological cycle changes are essential for water resource management. In this study, the spatial and temporal patterns of climate variables and hydrological factors were explored by applying geostatistical analysis and trend analysis in the Beiluo River Basin (BRB), China, and conversions of land use/cover change (LUCC) were assessed using chord diagrams. Contributions of climate change and human activities to runoff change were quantified employing multiple methods. The results show that annual precipitation and actual evapotranspiration increased significantly during the impact period (2004–2014) (p < 0.05), at rates of 19.3 mm/a and 11 mm/a, respectively, and there was a minor upward trend in annual runoff, at a rate of 0.38 mm/a, while annual potential evapotranspiration decreased slightly at a rate of − 3.3 mm/a. Climate variables were the primary contributor to runoff decrease from 2004 to 2011, with an average contribution of − 79% according to the three methods. Human activities were estimated to account for − 81% of runoff change from 2012 to 2014, which was inextricably linked to the increasing LUCC. The results of this study can provide a theoretical basis for regional water resource management under the influence of climate change and human activities.",The authors of this study would like to thank all authors of the studies included in this paper for their efforts to provide information on the relevant results.,The study was supported by the Special Foundation of Shandong Engineering Research Center for Groundwater Environmental Protection and Remediation (Grant No.: 801KF2022-7).,Environmental Science and Pollution Research,,,Humans; Rivers; Water Movements; China; Water Resources; Water Cycle; Climate Change,2023-07-17,2023,2023-07-17,2023-08,30,38,89823-89837,Closed,Article,"Yang, Tian; Yang, Xiao; Jia, Chao","Yang, Tian (Institute of Marine Science and Technology, Shandong University, Qingdao, China; Institute of Marine Geology and Engineering, Shandong University, Qingdao, China); Yang, Xiao (Institute of Marine Science and Technology, Shandong University, Qingdao, China; Institute of Marine Geology and Engineering, Shandong University, Qingdao, China); Jia, Chao (Institute of Marine Science and Technology, Shandong University, Qingdao, China; Institute of Marine Geology and Engineering, Shandong University, Qingdao, China)","Jia, Chao (Shandong University; Shandong University)","Yang, Tian (Shandong University; Shandong University); Yang, Xiao (Shandong University; Shandong University); Jia, Chao (Shandong University; Shandong University)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1160762938,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 15 Life on Land
4917,pub.1146480444,10.1007/s13280-021-01699-4,35316505,PMC9200927,"River basin governance enabling pathways for sustainable management: A comparative study between Australia, Brazil, China and France","Successful river basin governance is challenged by actor engagement in the various stages of planning and management. A governance approach for determining priorities for actors for sustainable management was developed, based on a river basin diagnostic framework consisting of four social-institutional and four biophysical indicators. It was applied in river basins in Australia, Brazil, China and France. Actors diagnosed current and target capacity for these indicators, and estimated synergistic influences of interacting indicators. The results reveal different priorities and transformative pathways to achieve basin plan outcomes, specific to each basin and actor groups. Priorities include biodiversity for the Murray-Darling, local water management needs for the São Francisco and Yellow rivers, and improved decision-making for the Adour-Garonne. This novel approach challenges entrenched views about key issues and actor engagement roles in co-implementation of the basin plan under existing prevailing governance models, with implications for engagement and international collaboration on basin governance.","The authors wish to acknowledge valuable assistance with translations, linguistic and logistical support during actor interviews in the Yellow River Basin, China, by Jinghan Li, and in the São Francisco River Basin, Brazil, by Agência Peixe Vivo for providing actor contacts and invitations to the annual plenary meeting. This work was funded by an APA Scholarship Award, and supported by the University of Queensland School of Earth and Environmental Sciences. Profound thanks also go to all actor participants in Australia, Brazil, China and France for their contributions through the interviews. This research was made possible by APA scholarship 00025B/4220934 offered by the University of Queensland, Australia.",Open Access funding enabled and organized by CAUL and its Member Institutions.,Ambio,,,Australia; Biodiversity; Brazil; China; Conservation of Natural Resources; Rivers,2022-03-22,2022,2022-03-22,2022-08,51,8,1871-1888,All OA; Hybrid,Article,"Bouckaert, Frederick Willem; Wei, Yongping; Pittock, James; Vasconcelos, Vitor; Ison, Ray","Bouckaert, Frederick Willem (School of Earth and Environmental Sciences,, St. Lucia Campus, University of Queensland, 4072, Brisbane, QLD, Australia; 123 Barclay Street, 4017, Deagon, QLD, Australia); Wei, Yongping (School of Earth and Environmental Sciences,, St. Lucia Campus, University of Queensland, 4072, Brisbane, QLD, Australia); Pittock, James (Fenner School of Environment and Society, Australian National University, 48 Linnaeus Way, Acton, 2600, Canberra, ACT, Australia); Vasconcelos, Vitor (Universidade Federal do ABC, São Bernardo do Campo, Santo André, SP, Brazil); Ison, Ray (Applied Systems Thinking in Practice (ASTiP) Program, School of Engineering & Innovation, Faculty of Science, Technology, Engineering and Mathematics (STEM), The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK)","Bouckaert, Frederick Willem (University of Queensland; 123 Barclay Street, 4017, Deagon, QLD, Australia)","Bouckaert, Frederick Willem (University of Queensland; 123 Barclay Street, 4017, Deagon, QLD, Australia); Wei, Yongping (University of Queensland); Pittock, James (Australian National University); Vasconcelos, Vitor (Universidade Federal do ABC); Ison, Ray (The Open University)",3,3,0.91,1.41,https://link.springer.com/content/pdf/10.1007/s13280-021-01699-4.pdf,https://app.dimensions.ai/details/publication/pub.1146480444,41 Environmental Sciences; 4104 Environmental Management,
4911,pub.1028871660,10.1371/journal.pone.0128960,26115484,PMC4482701,Land Use/Cover Change in the Middle Reaches of the Heihe River Basin over 2000-2011 and Its Implications for Sustainable Water Resource Management,"The Heihe River Basin (HRB) is a typical arid inland river basin in northwestern China. From the 1960s to the 1990s, the downstream flow in the HRB declined as a result of large, artificial changes in the distribution of water and land and a lack of effective water resource management. Consequently, the ecosystems of the lower reaches of the basin substantially deteriorated. To restore these degraded ecosystems, the Ecological Water Diversion Project (EWDP) was initiated by the Chinese government in 2000. The project led to agricultural and ecological changes in the middle reaches of the basin. In this study, we present three datasets of land use/cover in the middle reaches of the HRB derived from Landsat TM/ETM+ images in 2000, 2007 and 2011. We used these data to investigate changes in land use/cover between 2000 and 2011 and the implications for sustainable water resource management. The results show that the most significant land use/cover change in the middle reaches of the HRB was the continuous expansion of farmland for economic interests. From 2000 to 2011, the farmland area increased by 12.01%. The farmland expansion increased the water resource stress; thus, groundwater was over-extracted and the ecosystem was degraded in particular areas. Both consequences are negative and potentially threaten the sustainability of the middle reaches of the HRB and the entire river basin. Local governments should therefore improve the management of water resources, particularly groundwater management, and should strictly control farmland reclamation. Then, water resources could be ecologically and socioeconomically sustained, and the balance between upstream and downstream water demands could be ensured. The results of this study can also serve as a reference for the sustainable management of water resources in other arid inland river basins.","The study was jointly supported by the CAS Action Plan for West Development Project (grant no. KZCX2-XB3-15) and the NSFC project (grant no. 41101388, 91125001 and 09XSH014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors sincerely thank the Zhangye Water Authority and Heihe River Bureau for their support of this work. Special acknowledgments are also extended to Dr. Yuan Qi, Ms. Chunmei Ge, Dr. Wei Tian, Dr. Yanlin Zhang, Dr. Yingchun Ge, and Mr. Jinlong Zhang.","The study was jointly supported by the CAS Action Plan for West Development Project (grant no. KZCX2-XB3-15) and the NSFC project (grant no. 41101388, 91125001 and 09XSH014). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Wenping Yuan,China; Conservation of Natural Resources; Natural Resources; Rivers; Water Resources,2015-06-26,2015,2015-06-26,,10,6,e0128960,All OA; Gold,Article,"Hu, Xiaoli; Lu, Ling; Li, Xin; Wang, Jianhua; Guo, Ming","Hu, Xiaoli (Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 320 Donggang West Road, Lanzhou, 730000, China); Lu, Ling (Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 320 Donggang West Road, Lanzhou, 730000, China); Li, Xin (Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 320 Donggang West Road, Lanzhou, 730000, China); Wang, Jianhua (Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 320 Donggang West Road, Lanzhou, 730000, China); Guo, Ming (Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 320 Donggang West Road, Lanzhou, 730000, China)","Lu, Ling (Chinese Academy of Sciences)","Hu, Xiaoli (Chinese Academy of Sciences); Lu, Ling (Chinese Academy of Sciences); Li, Xin (Chinese Academy of Sciences); Wang, Jianhua (Chinese Academy of Sciences); Guo, Ming (Chinese Academy of Sciences)",74,14,0.48,24.11,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0128960&type=printable,https://app.dimensions.ai/details/publication/pub.1028871660,37 Earth Sciences; 3704 Geoinformatics; 41 Environmental Sciences,15 Life on Land; 6 Clean Water and Sanitation
4899,pub.1149199729,10.1016/j.jenvman.2022.115653,35797908,,Habitat alteration assessment for the management of environmental flows in regulated basins,"The management of environmental flows is of paramount importance in regulated water resources systems to preserve river ecosystems. This work proposes a methodology to assess habitat alteration in river basins altered by management activities. The methodology is based on the joint application of a basin management model (SIMGES, AQUATOOL) and a model to estimate habitat time series (CAUDECO). CAUDECO is based on the weighted useable areas of the species in their different vital stages that, in turn, depend on the flows in each river stretch and the biological periods of the species. The final output is an indicator of habitat alteration, which is defined ad hoc for this work to relate the habitat suitability under regulated and natural regimes. The methodology was applied to a case study in north-western Spain: the Órbigo River basin. The results in the current management scenario highlight that the ecological flows improve the habitat suitability of several species with respect to natural regime conditions. For instance, the mean values of the habitat time series in the Órbigo River for the brown trout and bermejuela under regulated conditions are 69.6% and 88%; whereas in natural regime they are equal to 55.1% and 72.9%, respectively. Based on these results, eight additional scenarios of ecological flows were tested and their effects on both habitat alteration and water demand reliability were quantified and discussed. It was found that increases in the ecological flows up to 30% do not affect the reliability of water demands and reduce habitat alteration (i.e., lead to values of the habitat alteration indicator closer to 1) for all species present in the river basin. These results highlight that the methodology and indicator of habitat alteration proposed in this paper are useful to support the management of regulated river basins, since they allow assessing the implications of ecological flows on both habitat suitability and reliability of water demands.",The authors thank the Spanish Ministry of Science and Innovation (MCIN) and Spanish Research Agency (AEI) for the financial support MCIN/AEI/10.13039/501100011033 to RESPHIRA project (PID2019-106322RB-I00). RB was partly funded by MCIN/AEI/10.13039/501100011033 through Juan de la Cierva program (IJC2019-038848-I). Funding for open access charge: CRUE-Universitat Politècnica de València. The authors also thank three anonymous reviewers for their suggestions to improve this work.,,Journal of Environmental Management,,,Animals; Ecosystem; Environmental Monitoring; Reproducibility of Results; Rivers; Trout; Water,2022-07-04,2022,2022-07-04,2022-10,319,,115653,All OA; Green,Article,"Pardo-Loaiza, J.; Bergillos, R.J.; Solera, A.; Paredes-Arquiola, J.; Andreu, J.","Pardo-Loaiza, J. (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, 46022, Valencia, Spain); Bergillos, R.J. (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, 46022, Valencia, Spain); Solera, A. (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, 46022, Valencia, Spain); Paredes-Arquiola, J. (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, 46022, Valencia, Spain); Andreu, J. (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, 46022, Valencia, Spain)","Bergillos, R.J. (Universitat Politècnica de València)","Pardo-Loaiza, J. (Universitat Politècnica de València); Bergillos, R.J. (Universitat Politècnica de València); Solera, A. (Universitat Politècnica de València); Paredes-Arquiola, J. (Universitat Politècnica de València); Andreu, J. (Universitat Politècnica de València)",7,7,0.46,3.3,https://riunet.upv.es/bitstream/10251/192156/1/Pardo-LoaizaBergillosSolera%20-%20Habitat%20alteration%20assessment%20for%20the%20management%20of%20environmental%20f....pdf,https://app.dimensions.ai/details/publication/pub.1149199729,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4897,pub.1169016948,10.1016/j.scitotenv.2024.171094,38387575,,Characterizing the water resource-environment-ecology system harmony in Chinese cities using integrated datasets: A Beautiful China perspective assessment,"Integrated management and synergistic improvement of the water system is a topic of widespread concern. This study innovatively integrates three functions of quality assessment, synergy evaluation, and driving influence determination to establish a systematic framework assessing water system harmony. A case study of 336 Chinese cities is further performed by combining multi-scale and multi-source datasets. The results show China's water system quality has improved from 2015 to 2022. Development in the water resource, environment, and ecology subsystems have been differentiated, with 0.05 %, 4.33 %, and -1.64 % changes, respectively. The degradation of water ecology and the weak synergy with the other two subsystems have limited China's water system harmony. Water environment improvement played a contributive role in improving the water system quality. The contribution structure of water resources, environment, and ecology has shifted towards equilibrium in recent years. We found and highlighted the north-south differentiation of water system harmony in Chinese cities. The Beijing-Tianjin-Hebei and its surroundings, the Yangtze River Delta, and the middle reaches of the Yangtze River are identified as priority regions for water system harmony improvement. The primary contribution of this study is to propose an assessing concept of water resource-environment-ecology system harmony, establish well-structured assessment methods, and integrate the multiple data sources. The novel methods and findings, including the indicator system, application of data mining and decomposing methods, and the city-level water system harmony map, deconstruct and quantify the complex and diverse water system, supporting clearer and more efficient water management policymaking.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work was supported by the Funds for Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences [Grant no. 2023-CAAS-CXGC-SRG]. This work was supported by the National Key Research and Development Program of China [Grant no. 2022YFC3802902].,,The Science of The Total Environment,,,,2024-02-21,2024,2024-02-21,2024-04,921,,171094,Closed,Article,"Guan, Yang; Xiao, Yang; Niu, Ren; Zhang, Nannan; Shao, Chaofeng","Guan, Yang (Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China.); Xiao, Yang (Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100041, China; The Center for Beautiful China, Chinese Academy of Environmental Planning, Beijing 100041, China.); Niu, Ren (Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100041, China.); Zhang, Nannan (Institute of Strategic Planning, Chinese Academy of Environmental Planning, Beijing 100041, China. Electronic address: zhangnn@caep.org.cn.); Shao, Chaofeng (Department of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.)","Zhang, Nannan (Chinese Academy for Environmental Planning)","Guan, Yang (Agro-Environmental Protection Institute); Xiao, Yang (Chinese Academy for Environmental Planning); Niu, Ren (Chinese Academy for Environmental Planning); Zhang, Nannan (Chinese Academy for Environmental Planning); Shao, Chaofeng (Nankai University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1169016948,37 Earth Sciences; 3704 Geoinformatics,
4890,pub.1166717442,10.1007/s11356-023-31298-7,38057677,,Integrated water quality assessment of two Rivers Basins from a semiarid region of Argentina,"The Tunuyán and Mendoza River Basins (Province of Mendoza, Argentina) have been selected as a representative semiarid region to test the applicability of an integrated water quality evaluation. To detect spatio-temporal variations of anthropic contamination, physicochemical and bacteriological parameters, as well as three ecotoxicological assays, were assessed in reference sites for 3 years. Bioassays based on the nematode Caenorhabditis elegans, the vascular plant Lactuca sativa, and the algae Pseudokirchneriella subcapitata were performed and toxicological categories were established. Our results showed that water quality, as well as water toxicity, deteriorates as both river systems run through urban areas. Interestingly, monitoring sites with good physicochemical and bacteriological qualities but with toxicity were identified, illustrating that traditional water quality studies do not predict potential toxic effects on living organisms. In addition, a multivariate statistical analysis was performed to detect clusters of monitoring sites according to the water quality status. In the context of climate change, this study provides information to support that integrated water monitoring is an essential tool to ensure sustainable water management and to guarantee economic growth, human health, food security, and environmental protection.",,"This work was supported by the Argentinean Ministry of Science, Technology and Productive Innovation through the National Agency for the Promotion of Science and Technology (Grants PICT 2014/3293 to Dr. Munarriz and PICT 2021/1277 to Dr. Mario Rossi) and the National Scientific and Technical Research Council (Grant PIP0793 to Dr. Kronberg). Funding was also provided by the Secretariat of Science, Technology and Postgraduate Education of the National University of Cuyo and from the Strategic Water National Plan No. 33 of National Water Institute, Secretariat of Infrastructure and Water Policy of the National Ministry of Public Works.",Environmental Science and Pollution Research,,,"Humans; Water Quality; Rivers; Environmental Monitoring; Argentina; Chlorophyceae; Water Pollutants, Chemical",2023-12-07,2023,2023-12-07,2024-01,31,2,2279-2296,Closed,Article,"Kronberg, María Florencia; Rossen, Ariana; Clavijo, Araceli; Manetti, Mariana; Moya, Aldana; Calvo, Daniel; Mariani, Adriana; Hernández, Rocio; Salatino, Santa E.; Morábito, José; Rossi, Mario; Munarriz, Eliana","Kronberg, María Florencia (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) - Universidad de Buenos Aires (UBA), Instituto de Investigaciones en Biociencias Agrícolas y Ambientales (INBA), Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina; Facultad de Agronomía, Cátedra de Bioquímica, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina); Rossen, Ariana (Laboratorio Experimental de Tecnologías Sustentables, Instituto Nacional del Agua (INA), Au. Ezeiza -Cañuelas, Tramo Jorge Newbery Km 1620, B1804, Ezeiza, Buenos Aires, Argentina); Clavijo, Araceli (CONICET - Universidad Nacional de Salta, Instituto de Investigaciones en Energía No Convencional, Avda. Bolivia 5150, A4408FVY, Ciudad de Salta, Argentina); Manetti, Mariana (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) - Universidad de Buenos Aires (UBA), Instituto de Investigaciones en Biociencias Agrícolas y Ambientales (INBA), Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina; Facultad de Agronomía, Cátedra de Bioquímica, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina); Moya, Aldana (Facultad de Agronomía, Cátedra de Protección Vegetal, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina); Calvo, Daniel (Subgerencia de Servicios Hidrológicos, INA, Au., Ezeiza-Cañuelas, Tamo Jorge Newbery Km 1620, B1804, Ezeiza, Buenos Aires, Argentina); Mariani, Adriana (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Hernández, Rocio (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Salatino, Santa E. (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Morábito, José (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Rossi, Mario (CONICET - Universidad Austral Genómica Funcional y Ciencia de Datos, Instituto de Investigaciones en Medicina Traslacional (IIMT), Av. Pte. Perón 1500, Derqui, Pilar, Buenos Aires, Argentina); Munarriz, Eliana (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) - Universidad de Buenos Aires (UBA), Instituto de Investigaciones en Biociencias Agrícolas y Ambientales (INBA), Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina; Facultad de Agronomía, Cátedra de Bioquímica, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina)","Munarriz, Eliana (National Scientific and Technical Research Council; Facultad de Agronomía, Cátedra de Bioquímica, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina)","Kronberg, María Florencia (National Scientific and Technical Research Council; Facultad de Agronomía, Cátedra de Bioquímica, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina); Rossen, Ariana (Instituto Nacional del Agua); Clavijo, Araceli (National University of Salta); Manetti, Mariana (National Scientific and Technical Research Council; Facultad de Agronomía, Cátedra de Bioquímica, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina); Moya, Aldana (Facultad de Agronomía, Cátedra de Protección Vegetal, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina); Calvo, Daniel (Subgerencia de Servicios Hidrológicos, INA, Au., Ezeiza-Cañuelas, Tamo Jorge Newbery Km 1620, B1804, Ezeiza, Buenos Aires, Argentina); Mariani, Adriana (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Hernández, Rocio (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Salatino, Santa E. (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Morábito, José (Centro Regional Andino, INA, Belgrano Oeste 210, M5500FIF, Mendoza, Argentina); Rossi, Mario (Austral University); Munarriz, Eliana (National Scientific and Technical Research Council; Facultad de Agronomía, Cátedra de Bioquímica, UBA, Avda. San Martín 4453, C1417DSE, Ciudad Autónoma de Buenos Aires, Argentina)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1166717442,41 Environmental Sciences; 4105 Pollution and Contamination,6 Clean Water and Sanitation
4885,pub.1160408891,10.1016/j.scitotenv.2023.165349,37419363,,Impacts of climate change and anthropogenic stressors on runoff variations in major river basins in China since 1950,"Runoff is one of the main components of hydrological cycle and an important index for water resources evaluation, understanding the runoff change and their causes is vital to water resource management. In the study, we analyzed the runoff change and the impacts of climate change and land use alteration on runoff variation based on natural runoff and previous studies in China. The results showed that there was a significant increasing trend in the annual runoff during 1961-2018 (p < 0.05), with change rate of 0.4 mm/a and abrupt point at 1999 across China, climate change dominated the runoff variation with a contribution of 54 %. In previous studies, the runoff of the major basins in China had a downward trend on the whole (-0.99 mm/a) except Continental River Basin (CRB) showed an increasing trend (0.25 mm/a), the abrupt points were mainly concentrated in 1991-2000, and human activity was the leading factor of runoff change with the contribution of 54 % across China. Human activity was the dominant factor of runoff change in Songhua and Liao River Basin (SLRB), Yellow River Basin (YRB), Hai River Basin (HRB) and Pearl River Basin (PRB), the contribution was >56 %, while climate change was the dominant factor of runoff change in Huai River Basin (HuRB), CRB, and Yangtze River Basin (YZRB). Overall, there was a significant correlation between runoff and precipitation, unused land, urban and grassland in China. We concluded that runoff change and the contribution of climate change and human activities varies greatly among different basins. The findings in this work can shed light on the quantitative understanding of runoff changes in national scale and offer a scientific basis for sustainable water management.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work was supported by the National Key Research and Development Program of China (2019YFC0507400), and the Top Leading Talents (Science and Technology) Training Program of Gansu Province, China.",,The Science of The Total Environment,,,,2023-07-06,2023,2023-07-06,2023-11,898,,165349,Closed,Article,"Bai, Xuelian; Zhao, Wenzhi","Bai, Xuelian (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100029, China.); Zhao, Wenzhi (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China. Electronic address: zhaowzh@lzb.ac.cn.)","Zhao, Wenzhi (Northwest Institute of Eco-Environment and Resources; Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China. Electronic address: zhaowzh@lzb.ac.cn.)","Bai, Xuelian (Northwest Institute of Eco-Environment and Resources; Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100029, China.; University of Chinese Academy of Sciences); Zhao, Wenzhi (Northwest Institute of Eco-Environment and Resources; Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Linze Inland River Basin Research Station, Chinese Ecosystem Research Network, Lanzhou 730000, China. Electronic address: zhaowzh@lzb.ac.cn.)",5,5,,,,https://app.dimensions.ai/details/publication/pub.1160408891,37 Earth Sciences; 3701 Atmospheric Sciences; 3704 Geoinformatics; 3707 Hydrology,13 Climate Action; 15 Life on Land
4883,pub.1158398152,10.1007/s10661-023-11273-y,37233822,,Use of a Bayesian network as a decision support tool for watershed management: a case study in a highly managed river-dominated estuary,"Decision making in water resource management has many dimensions including water supply, flood protection, and meeting ecological needs, therefore, is complex, full of uncertainties, and often contentious due to competing needs and distrust among stakeholders. It benefits from robust tools for supporting the decision-making process and for communicating with stakeholders. This paper presents a Bayesian network (BN) modeling framework for analyzing various management interventions regulating freshwater discharges to an estuary. This BN was constructed using empirical data from 98 months of monitoring the Caloosahatchee River Estuary in south Florida during the period 2008–2021 as a case study to illustrate the potential advantages of the BN approach. Results from three different management scenarios and their implications on down-estuary conditions as they affected eastern oysters (Crassostrea virginica) and seagrass (Halodule wrightii) are presented and discussed. Finally, the directions for future applications of the BN modeling framework to support management in similar systems are offered.","The author would like to acknowledge all the hard work of the field and laboratory staff of SFWMD, Lee County Environmental Lab and USGS for the collection and analysis of water samples and flow measurements over the years; their efforts in generating and maintaining long-term data sets that are crucial for decision making are often underappreciated. I would also like to thank Dhruvkumar Bhatt for his assistance in making the map and especially the Honors Students in my Fall 2021 Oceanography class who assisted in reviewing data downloads and double-checking data processing necessary for this study.",,Environmental Monitoring and Assessment,,,Animals; Rivers; Estuaries; Bayes Theorem; Environmental Monitoring; Fresh Water; Crassostrea,2023-05-26,2023,2023-05-26,2023-06,195,6,741,All OA; Green,Article,"Rumbold, Darren G.","Rumbold, Darren G. (Department of Marine and Earth Sciences, The Water School, Florida Gulf Coast University, Fort Myers, FL, USA)","Rumbold, Darren G. (Florida Gulf Coast University)","Rumbold, Darren G. (Florida Gulf Coast University)",1,1,,,https://www.researchsquare.com/article/rs-1921586/latest.pdf,https://app.dimensions.ai/details/publication/pub.1158398152,41 Environmental Sciences; 4104 Environmental Management,
4878,pub.1158399572,10.1007/s10661-023-11346-y,37237143,,Assessment and interpretation of surface water quality in Jhelum River and its tributaries using multivariate statistical methods,"Water is an essential part of human life, and its pollution is a hotly debated topic on both national and international scales. Surface waterbodies in the beautiful Kashmir Himalayas are already deteriorating. In this study, fourteen physio-chemical parameters were tested in water samples taken during the spring, summer, autumn, and winter seasons from twenty-six different sampling points. The findings showed a consistent decline in the water quality of river Jhelum and its adjoining tributaries. The upstream section of the river Jhelum had the least pollution, whereas the Nallah Sindh had the poorest water quality. The water quality of Jhelum and Wular Lake was strongly impacted by the water quality of all the adjoining tributaries. To examine the link between the selected water quality indicators, descriptive statistics and a correlation matrix were used. Analysis of variance (ANOVA) and principal component analysis/factor analysis (PCA/FA) were used to identify the key variables that influenced seasonal and sectional water quality fluctuations. The ANOVA analysis revealed that there were significant differences in water quality characteristics among the twenty-six sampling locations throughout all four seasons. The PCA findings identified four principal components that accounted for 75.18% of the total variance and could be utilized to evaluate all data. The study revealed that chemical, conventional, organic, and organic pollutants were significant latent factors influencing the water quality of rivers in the region. The findings of this study could contribute to the vital management of surface water resources in Kashmir’s ecology and environment.",,,Environmental Monitoring and Assessment,,,"Humans; Water Quality; Rivers; Environmental Monitoring; Multivariate Analysis; Water Resources; Seasons; Principal Component Analysis; Water Pollutants, Chemical",2023-05-27,2023,2023-05-27,2023-06,195,6,746,Closed,Article,"Gull, Sarvat; Shah, Shagoofta Rasool; Dar, Ayaz Mohmood","Gull, Sarvat (Department of Civil Engineering, National Institute of Technology Srinagar, 190006, Srinagar, India); Shah, Shagoofta Rasool (Department of Civil Engineering, National Institute of Technology Srinagar, 190006, Srinagar, India); Dar, Ayaz Mohmood (Department of Civil Engineering, National Institute of Technology Srinagar, 190006, Srinagar, India)","Gull, Sarvat (National Institute of Technology Srinagar)","Gull, Sarvat (National Institute of Technology Srinagar); Shah, Shagoofta Rasool (National Institute of Technology Srinagar); Dar, Ayaz Mohmood (National Institute of Technology Srinagar)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1158399572,41 Environmental Sciences; 4105 Pollution and Contamination,
4878,pub.1006400895,10.1016/j.scitotenv.2014.06.069,24993514,,Managing water quality under drought conditions in the Llobregat River Basin,"The primary effects of droughts on river basins include both depleted quantity and quality of the available water resources, which can render water resources useless for human needs and simultaneously damage the environment. Isolated water quality analyses limit the action measures that can be proposed. Thus, an integrated evaluation of water management and quality is warranted. In this study, a methodology consisting of two coordinated models is used to combine aspects of water resource allocation and water quality assessment. Water management addresses water allocation issues by considering the storage, transport and consumption elements. Moreover, the water quality model generates time series of concentrations for several pollutants according to the water quality of the runoff and the demand discharges. These two modules are part of the AQUATOOL decision support system shell for water resource management. This tool facilitates the analysis of the effects of water management and quality alternatives and scenarios on the relevant variables in a river basin. This paper illustrates the development of an integrated model for the Llobregat River Basin. The analysis examines the drought from 2004 to 2008, which is an example of a period when the water system was quantitative and qualitatively stressed. The performed simulations encompass a wide variety of water management and water quality measures; the results provide data for making informed decisions. Moreover, the results demonstrated the importance of combining these measures depending on the evolution of a drought event and the state of the water resources system.","AcknowledgmentsThe authors would like to thank the Spanish Ministry of Economy and Competitiveness for its financial support through the SCARCE (Consolider‐Ingenio 2010 CSD2009‐00065) and NUTEGES (CGL2012-34978) projects. We also value the support provided by the European Community&#x27;s Seventh Framework Program in financing the SIRIUS (FP7-SPACE-2010-1, 262902), DROUGHT-R&amp;SPI (FP7-ENV-2011, 282769) and ENHANCE (FP7-ENV-2012, 308438) projects. Moreover, we are grateful to the Catalan Water Agency for the data provided to develop this study.",,The Science of The Total Environment,,,"Conservation of Natural Resources; Droughts; Environmental Monitoring; Models, Theoretical; Rivers; Water Resources; Water Supply",2014-07-01,2014,2014-07-01,2015-01,503,,300-318,All OA; Green,Article,"Momblanch, Andrea; Paredes-Arquiola, Javier; Munné, Antoni; Manzano, Andreu; Arnau, Javier; Andreu, Joaquín","Momblanch, Andrea (Instituto Universitaro de Ingeniería del Agua y Medio Ambiente, Universitat Politècnica de València Spain); Paredes-Arquiola, Javier (Instituto Universitaro de Ingeniería del Agua y Medio Ambiente, Universitat Politècnica de València Spain); Munné, Antoni (Agència Catalana de l'Aigua (Catalan Water Agency), Generalitat de Catalunya Spain); Manzano, Andreu (Agència Catalana de l'Aigua (Catalan Water Agency), Generalitat de Catalunya Spain); Arnau, Javier (Instituto Universitaro de Ingeniería del Agua y Medio Ambiente, Universitat Politècnica de València Spain); Andreu, Joaquín (Instituto Universitaro de Ingeniería del Agua y Medio Ambiente, Universitat Politècnica de València Spain)","Momblanch, Andrea (Universitat Politècnica de València)","Momblanch, Andrea (Universitat Politècnica de València); Paredes-Arquiola, Javier (Universitat Politècnica de València); Munné, Antoni (Government of Catalonia); Manzano, Andreu (Government of Catalonia); Arnau, Javier (Universitat Politècnica de València); Andreu, Joaquín (Universitat Politècnica de València)",36,7,0.7,5.44,https://riunet.upv.es/bitstream/10251/82872/5/Momblanch_et_al_AuthorRev..pdf,https://app.dimensions.ai/details/publication/pub.1006400895,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4871,pub.1168745339,10.1016/j.heliyon.2024.e25882,38379998,PMC10877281,Challenges and prospects of transboundary river water conservation and watershed protection in Ethiopia: The case of the upper Blue Nile,"This article aims to present the challenges and prospects of transboundary river water conservation and watershed protection in the Upper Blue Nile basin. The River Nile Basin embraces eleven countries shaping their diverse environments and playing a vital role in the livelihoods of its inhabitants. Within this context sharing and managing the River Nile water resources has been a persistent challenge and a potential source of conflict. The Blue Nile River is shared by Ethiopia, Sudan and Egypt and for the latter it is the life artery as the majority of the water reaching Egypt comes from the Blue Nile. Only Egypt and Sudan have an agreement to share the water and there is a need to revisit this mode of resource use based on water allocation among the River Nile countries and especially for the Blue Nile. Nevertheless, these issues have not been resolved and have exacerbated by the commencement and near operation of the GERD. Another important aspect dealt with in this article is the conservation and watershed protection. The study used a qualitative research approach, and data were collected through key informant interviews. Different relevant secondary sources are also consulted. The data were analyzed based on a thematic analysis approach. The key finding of this study was that, despite the Ethiopian unilateral intervention inadequacy to deal with the problem of environmental degradation and water conservation in the Blue Nile Basin neither Ethiopia nor regional institutions like ENTRO attempted to shed light on the impacts of this problem if remained unaddressed. Moreover, Ethiopia and regional actors are void of designing a clear road map to overcome the cloud of mistrust and struggle to dominate the Nile water use which undermined hope for joint action against the common problem that jeopardize the interests of all the basin states. On the other hand the Ethiopian effort to safeguard the shared Nile water resource in the Blue Nile basin yield modest results it may encourage the basin countries to cooperate over the use and management of the Nile water. Hence, the inadequacy of Ethiopia's sole effort to conserve and protect the Upper Nile watershed calls for Ethiopian water management policy and water diplomacy to push for the collaboration of the downstream states as the threats to the Nile water supply are common threats to all Nile basin states' national water security.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,Heliyon,,,,2024-02-10,2024,2024-02-10,2024-02,10,4,e25882,All OA; Gold,Article,"Kedida, Emiru Gemechu; Arsano, Yacob","Kedida, Emiru Gemechu (Harmaya University, College of Social Sciences and Humanities, School of History and Heritage Management, P.O. Box 138, Dire Dawa, Ethiopia); Arsano, Yacob (Addis Ababa University, College of Social Sciences, Department of Political Science and International Relations, P.O. Box 1176, Addis Ababa, Ethiopia)","Kedida, Emiru Gemechu (Harmaya University, College of Social Sciences and Humanities, School of History and Heritage Management, P.O. Box 138, Dire Dawa, Ethiopia)","Kedida, Emiru Gemechu (Harmaya University, College of Social Sciences and Humanities, School of History and Heritage Management, P.O. Box 138, Dire Dawa, Ethiopia); Arsano, Yacob (Addis Ababa University)",0,0,,,https://doi.org/10.1016/j.heliyon.2024.e25882,https://app.dimensions.ai/details/publication/pub.1168745339,37 Earth Sciences; 3707 Hydrology; 44 Human Society,15 Life on Land
4870,pub.1166884454,10.1007/s00267-023-01923-9,38078964,,"‘One River, Two Systems’: Hong Kong’s River Management","Hong Kong (HK), one of the world’s most densely populated metropolises, is home to over 200 rivers and streams extending about 2500 km in length. During the 1970s–1990s, most of these rivers were converted into artificial canals, to which the local society pays little attention. Since the 2010s, the HK government has initiated river revitalization to enhance the social-environmental roles of rivers. This study employed a mixed research method, including literature and policy analysis, expert interviews, field visits, and a public survey, to identify key challenges in HK’s Integrated River Basin Management (IRBM). The findings highlighted the lack of IRBM’s institutional arrangements in HK, characterized by a fragmented ‘one river, two systems’ approach without both coordination and collaboration. The Water Supplies Department (WSD) impounds upland streams as reservoirs for securing the local water supply, while the Drainage Service Department (DSD) manages heavily channelized, culverted downstream serving as storm drains with diminished ecological functionality. One significant barrier to the implementation of IRBM in HK was the limited public participation, although our survey revealed a high level of public willingness to participate in river management. Presently, river revitalization efforts have achieved limited success, with ecological measures appearing mostly “cosmetic” and the conservation of freshwater biodiversity neglected. This further underscored the pressing need for the embracement of IRBM in HK to safeguard basin-wide freshwater ecosystems. Our survey also indicated low public awareness of river revitalization initiatives and widespread dissatisfaction with their outcomes. In conclusion, we proposed the development of IRBM in HK by instituting river basin coordination, prioritizing river ecosystem restoration in revitalization projects, and involving the public through tailored strategies.Graphical Abstract",,,Environmental Management,,,Ecosystem; Hong Kong; Conservation of Natural Resources; Rivers; Biodiversity,2023-12-11,2023,2023-12-11,2024-01,73,1,81-101,Closed,Article,"Cao, Yixin; Chen, Wendy Yan; Wantzen, Karl Matthias","Cao, Yixin (Interdisciplinary Research Center of Cities, Territories, Environment and Society (UMR CNRS 7324 CITERES), University of Tours, 37204, Tours, France); Chen, Wendy Yan (Department of Geography, The University of Hong Kong, Hong Kong, PR China); Wantzen, Karl Matthias (Interdisciplinary Research Center of Cities, Territories, Environment and Society (UMR CNRS 7324 CITERES), University of Tours, 37204, Tours, France; UNESCO Chair “River Culture-Fleuves et Patrimoine”, University of Tours, 37204, Tours, France; UNESCO Chair “Rivers and Heritage”, Institut Terre et Environnement de Strasbourg (ITES) (CNRS UMR7063), Université de Strasbourg / KIT Karlsruhe, 67000, Strasbourg, France)","Cao, Yixin (François Rabelais University)","Cao, Yixin (François Rabelais University); Chen, Wendy Yan (University of Hong Kong); Wantzen, Karl Matthias (François Rabelais University; François Rabelais University; Institut Terre et Environnement de Strasbourg)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1166884454,41 Environmental Sciences; 4104 Environmental Management; 44 Human Society; 4407 Policy and Administration,
4863,pub.1166165309,10.1016/j.heliyon.2023.e22638,38076156,PMC10709494,Traditional beliefs and willingness to pay for improving a mining-polluted river in Ghana,"Pollution of water resources is a widespread challenge across the globe which requires effective policy measures. However, in many instances, state institutions are weak in addressing these problems. One then wonders what alternative management regimes can be used in place of public policies. This study examined the willingness to pay (WTP) for the improvement of the Ankobra River, a mining-polluted river in the Western Region of Ghana, using the contingent valuation method. Primary data was collected from 611 respondents from 8 communities in the Prestea-Huni Valley Municipality and were analysed using probit and interval regression models. The findings suggest that respondents were concerned about the current polluted state of the Ankobra River and traditional beliefs regarding the spiritual value of the river were still very relevant to them. Consequently, respondents with the belief that the river is an abode of gods as well as natives who believe that Ankobra River is a god were more likely to pay for the improvement of its water quality. Surprisingly, respondents who believed that the river is a god had a lower WTP. Income, natives, existence value, secondary and tertiary education also had positive significant association with WTP, older respondents were less likely to pay while respondents with bigger household sizes, and the divorced had lower WTP. The estimated mean WTP for water quality improvement of the Ankobra River is GHC 51.52 ($6.62) per annum. Local community involvement in policy decision-making regarding water resources is key.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,"This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.",Heliyon,,,,2023-11-21,2023,2023-11-21,2023-12,9,12,e22638,All OA; Gold,Article,"Arthur, Lilian; Vondolia, Godwin Kofi; Dasmani, Isaac","Arthur, Lilian (Department of Economics, Business School, Ghana Communication Technology University, Ghana); Vondolia, Godwin Kofi (Department of Applied Economics, School of Economics, University of Cape Coast, Ghana); Dasmani, Isaac (Department of Economic Studies, School of Economics, University of Cape Coast, Ghana)","Arthur, Lilian (Department of Economics, Business School, Ghana Communication Technology University, Ghana)","Arthur, Lilian (Department of Economics, Business School, Ghana Communication Technology University, Ghana); Vondolia, Godwin Kofi (University of Cape Coast); Dasmani, Isaac (University of Cape Coast)",0,0,,,http://www.cell.com/article/S2405844023098468/pdf,https://app.dimensions.ai/details/publication/pub.1166165309,38 Economics; 3801 Applied Economics,4 Quality Education
4855,pub.1154958955,10.1016/j.jenvman.2023.117380,36731411,,"A comprehensive assessment of runoff dynamics in response to climate change and human activities in a typical karst watershed, southwest China","The Chengbi River Basin is a typical karst watershed in Southwest China. Understanding the effects of climate change (CC) and human activities (HAs) on hydrological process is important for regional water resources management and water security. However, a comprehensive assessment of the effects of CC and HAs on runoff dynamics at different time scales in the Chengbi River Basin is still lacking. To address these needs, we used Budyko Mezentsev-Choudhurdy-Yang and Slope change ratio of accumulative quantity methods to assess the contribution of the changing environment to annual and intra-annual runoff changes in the Chengbi River Basin. The results indicated that annual runoff time series was divided into the base phase Ta (1980-1996) and the change phase Tb (1997-2019). Compared to the natural status in Ta, the relative contributions of CC and HAs to the runoff increase in Tb were 154.86% and -54.86%. In addition, the shift in intra-annual runoff occurred in 2007 and was mainly caused by HAs, with a contribution rate of 76.22%. The increase in annual runoff in Tb could be attributed to the positive contribution of rainfall. Changes in rainfall and reservoir construction altered the original state of intra-annual runoff. Furthermore, the high degree of heterogeneity in the surface karst zone increased the runoff coefficient. The spatial unsaturation of the subsurface water-bearing media and rainfall patterns caused a significant lag effect in the response of surface runoff to rainfall. This study can help researchers and policy makers to better understand the response of karst runoff to changing environment and provide insights for future water resources management and flood control measures.","This work was supported by the Interdisciplinary Scientific Research Foundation of Guangxi University (Grant No. 2022JCC028); the National Natural Science Foundation of China (Grant No. 51969004, Grant No. 52269002).",,Journal of Environmental Management,,,Humans; Climate Change; Water Movements; Water Resources; Human Activities; China; Rivers; Water; Environmental Monitoring,2023-01-31,2023,2023-01-31,2023-04,332,,117380,Closed,Article,"Mo, Chongxun; Lai, Shufeng; Yang, Qing; Huang, Keke; Lei, Xingbi; Yang, Lufeng; Yan, Zhiwei; Jiang, Changhao","Mo, Chongxun (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China; College of Architecture and Civil Engineering, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China.); Lai, Shufeng (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China; College of Architecture and Civil Engineering, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China. Electronic address: shufenglai@163.com.); Yang, Qing (Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut, China.); Huang, Keke (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China; College of Architecture and Civil Engineering, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China.); Lei, Xingbi (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China; College of Architecture and Civil Engineering, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China.); Yang, Lufeng (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China; College of Architecture and Civil Engineering, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China.); Yan, Zhiwei (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China; College of Architecture and Civil Engineering, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China.); Jiang, Changhao (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China; College of Architecture and Civil Engineering, Guangxi University, Nanning, 530004, China; Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China.)","Lai, Shufeng (Guangxi University)","Mo, Chongxun (Guangxi University); Lai, Shufeng (Guangxi University); Yang, Qing (University of Connecticut); Huang, Keke (Guangxi University); Lei, Xingbi (Guangxi University); Yang, Lufeng (Guangxi University); Yan, Zhiwei (Guangxi University); Jiang, Changhao (Guangxi University)",10,10,,,,https://app.dimensions.ai/details/publication/pub.1154958955,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,
4849,pub.1153940436,10.1016/j.jenvman.2022.117046,36566729,,Combining urban metabolism and reinforcement learning concepts for sustainable water resources management: A nexus approach,"Modeling Water-Energy-Food (WEF) nexus is necessary for integrated water resources management (IWRM), especially in urban areas. This paper presents a new urban water metabolism-based methodology for WEF nexus modeling and management. A behavioral simulation model is used to incorporate the characteristics of stakeholders in an urban area. Modified versions of the Borda count, Copeland rule, and fallback bargaining procedures are implemented to choose the socially acceptable management scenarios. Finally, the selected scenarios' effectiveness is evaluated using the fairness and total utility indices. The applicability of the proposed methodology is evaluated by applying it to the Kan River basin, Tehran, Iran, which is suffering from some water and environmental issues. The considered management scenarios include adding new water sources, leakage control plans, using rubber dams for enhancing groundwater recharge, revising water allocation priorities, and developing semi-centralized or decentralized reuse strategies for reclaimed wastewater. Results illustrate that considering different fluxes (i.e., water quantity, pollutants, energy, greenhouse gases (GHG), and materials) is as important as incorporating the social characteristics of stakeholders. Simulating the socially acceptable scenario shows that the aquifer's average water level improves by 3 (m), and its average nitrate concentration reduces by 16 (mg/L) in comparison with the business as usual (BAU) scenario. In addition, by implementing different water reuse strategies, which are energy-intensive, total energy consumption is reduced by 5% due to less groundwater pumping. Also, the selected scenario decreases GHG emissions by 18% and increases the sequestrated carbon dioxide by 20%. In conclusion, the proposed decision support tool can provide policies for sustainable water resources management considering water quality and quantity issues, energy usage, and GHG emission.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,Journal of Environmental Management,,,Water Resources; Water Supply; Iran; Groundwater; Greenhouse Gases,2022-12-23,2022,2022-12-23,2023-03,329,,117046,Closed,Article,"Emamjomehzadeh, Omid; Kerachian, Reza; Emami-Skardi, Mohammad Javad; Momeni, Marzieh","Emamjomehzadeh, Omid (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: omidemam@ut.ac.ir.); Kerachian, Reza (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: kerachian@ut.ac.ir.); Emami-Skardi, Mohammad Javad (Department of Civil Engineering, Faculty of Engineering and Technology, University of Mazandaran, Mazandaran, Iran.); Momeni, Marzieh (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.)","Kerachian, Reza (University of Tehran)","Emamjomehzadeh, Omid (University of Tehran); Kerachian, Reza (University of Tehran); Emami-Skardi, Mohammad Javad (University of Mazandaran); Momeni, Marzieh (University of Tehran)",9,9,,5.62,,https://app.dimensions.ai/details/publication/pub.1153940436,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 40 Engineering; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4832,pub.1164979087,10.1038/s41597-023-02618-w,37853036,PMC10584895,"Hydrological model-based streamflow reconstruction for Indian sub-continental river basins, 1951–2021","Streamflow is a vital component of the global water cycle. Long-term streamflow observations are required for water resources planning and management, hydroclimatic extremes analysis, and ecological assessment. However, long-term streamflow observations for the Indian-Subcontinental (ISC) river basins are lacking. Using meteorological observations, state-of-the-art hydrological model, and river routing model, we developed hydrological model-simulated monthly streamflow from 1951–2021 for the ISC river basins. We used high-resolution vector-based routing model (mizuRoute) to generate streamflow at 9579 stream reaches in the sub-continental river basins. The model-simulated streamflow showed good performance against the observed flow with coefficient of determination (R2) and Nash-Sutcliffe efficiency (NSE) above 0.70 for more than 60% of the gauge stations. The dataset was used to examine the variability in low, average, and high flow across the streams. Long-term changes in streamflow showed a significant decline in flow in the Ganga basin while an increase in the semi-arid western India and Indus basin. Long-term streamflow can be used for planning water management and climate change adaptation in the Indian sub-continent.",We acknowledge the data availability from India Meteorological Department (IMD): https://www.imdpune.gov.in/lrfindex.php and Sheffield: https://hydrology.soton.ac.uk/data/pgf/v3/0.25deg/daily/. The streamflow observations from India-WRIS: https://indiawris.gov.in/wris/#/RiverMonitoring and SAGE: https://sage.nelson.wisc.edu/riverdata/index.php is greatly acknowledged.,,Scientific Data,,,,2023-10-18,2023,2023-10-18,,10,1,717,All OA; Gold,Article,"Chuphal, Dipesh Singh; Mishra, Vimal","Chuphal, Dipesh Singh (Civil Engineering, Indian Institute of Technology (IIT) Gandhinagar, Gandhinagar, India); Mishra, Vimal (Civil Engineering, Indian Institute of Technology (IIT) Gandhinagar, Gandhinagar, India; Earth Sciences, Indian Institute of Technology (IIT) Gandhinagar, Gandhinagar, India)","Mishra, Vimal (Indian Institute of Technology Gandhinagar; Indian Institute of Technology Gandhinagar)","Chuphal, Dipesh Singh (Indian Institute of Technology Gandhinagar); Mishra, Vimal (Indian Institute of Technology Gandhinagar; Indian Institute of Technology Gandhinagar)",3,3,,,https://www.nature.com/articles/s41597-023-02618-w.pdf,https://app.dimensions.ai/details/publication/pub.1164979087,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action
4828,pub.1150701359,10.1007/s11356-022-22726-1,36053417,,Optimization of river environmental management based on reinforcement learning algorithm: a case study of the Yellow River in China,"Generating scientific management strategy contributes to the sustainable development of river ecological environment. In this study, a multi-objective coupled water and sediment regulation model aiming at minimizing sedimentation and inundation loss as well as maximizing ecological value in the lower Yellow River has been developed. A reinforcement Q-learning algorithm was used to obtain optimized strategies from the multi-objective of sediment reduction, flood control and ecological restoration under different hydrological years. The results showed that the simulated channel sedimentation is very close to the measured value, which proves the applicability of the developed model. Under dry, normal and wet hydrological year, the effects of various regulation strategies on silt reduction, flood control and ecological restoration were obviously different. The regulation scheme of discharge at 3700 m3/s was verified to be suitable for dry and wet year, and that of discharge at 2600 m3/s was more suitable for normal year. Increasing the spacing of the beach area was better in normal year and wet year. Our findings suggested optimized strategies to address environmental challenges of the lower Yellow River in different hydrological years. This paper provides a reliable reference for improving the management of the lower Yellow River.",All data that support the findings are available from the corresponding author upon reasonable request.,"This work was supported by the Joint Institute of Internet of Water and Digital Water Governance, Tsinghua-Ningxia Yinchuan (sklhse-2020-Iow03) and the National Key Research and Development Program (2016YFC0402506).",Environmental Science and Pollution Research,,,Rivers; Conservation of Natural Resources; Floods; Hydrology; China,2022-09-02,2022,2022-09-02,2023-01,30,3,8170-8187,Closed,Article,"Chen, Minghong; Li, Ying; Zhang, Xue; Liao, Renkuan; Wang, Changxi; Bi, Xiangshuai","Chen, Minghong (College of Water Resources and Civil Engineering, China Agricultural University, 100083, Beijing, People’s Republic of China); Li, Ying (College of Land Science and Technology, China Agricultural University, 100083, Beijing, People’s Republic of China); Zhang, Xue (College of Water Resources and Civil Engineering, China Agricultural University, 100083, Beijing, People’s Republic of China); Liao, Renkuan (College of Land Science and Technology, China Agricultural University, 100083, Beijing, People’s Republic of China); Wang, Changxi (College of Land Science and Technology, China Agricultural University, 100083, Beijing, People’s Republic of China); Bi, Xiangshuai (College of Land Science and Technology, China Agricultural University, 100083, Beijing, People’s Republic of China)","Liao, Renkuan (China Agricultural University)","Chen, Minghong (China Agricultural University); Li, Ying (China Agricultural University); Zhang, Xue (China Agricultural University); Liao, Renkuan (China Agricultural University); Wang, Changxi (China Agricultural University); Bi, Xiangshuai (China Agricultural University)",2,2,,1.02,,https://app.dimensions.ai/details/publication/pub.1150701359,37 Earth Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience; 41 Environmental Sciences,
4822,pub.1159075852,10.1016/j.scitotenv.2023.164673,37301387,,Integrated modeling of global change impacts on land and water resources,"There is a common scientific understanding that global change impact analysis, mitigation, and adaptation require interdisciplinary work. Integrated modeling could help to address the challenges associated with the impacts of global change. Particularly, integrated modeling that takes feedback effects into account will allow for the derivation of climate resilient land use and land management. Here, we call for more of such integrated modeling work focusing on the interdisciplinary subject of water resources and land management. As a proof-of-concept, we tightly couple a hydrologic (SWAT) and a land use model (CLUE-s) and illustrate the benefits of this coupled land and water modeling framework (LaWaCoMo) with a scenario on cropland abandonment induced by water stress. As compared to standalone model runs of SWAT and CLUE-s for the past, LaWaCoMo performs slightly better regarding measured river discharge (PBIAS: +0.8% and +1.5% compared at two gauges) and land use change (figure of merit: +6.4% and +2.3% compared to land use maps at two points in time). We show that LaWaCoMo is suitable for global change impact analysis as it is sensitive to climate and land use inputs as well as to management decisions. Our results shed light on the importance of feedback effects between land use and hydrology to assess impacts of global change on land and water resources accurately and consistently. To facilitate that the developed methodology can serve as a blueprint for integrated modeling of global change impacts, we used two freely available models that belong to the most widely used models in their respective disciplines.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements We are grateful to IMD Pune, Water Resources Department Nashik, Khadakwasla Irrigation Division Pune, Groundwater Department Pune, Department of Agriculture Pune, NRSC Hyderabad, and USGS Land Processes Distributed Active Archive Center for supplying environmental data for the proof-of-concept study. Special thanks go to the students from the Institute of Environment Education Research at Bharati Vidyapeeth University Pune for assistance with field measurements. We thank the editor and four anonymous reviewers for their constructive comments.",,The Science of The Total Environment,,,Water Resources; Climate; Hydrology; Climate Change; Rivers,2023-06-08,2023,2023-06-08,2023-09,892,,164673,Closed,Article,"Wagner, Paul D; Kumar, Shamita; Fohrer, Nicola","Wagner, Paul D (Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, D-24118 Kiel, Germany. Electronic address: pwagner@hydrology.uni-kiel.de.); Kumar, Shamita (Institute of Environment Education & Research, Bharati Vidyapeeth University, Pune 411043, India.); Fohrer, Nicola (Department of Hydrology and Water Resources Management, Institute for Natural Resource Conservation, Kiel University, D-24118 Kiel, Germany.)","Wagner, Paul D (Kiel University)","Wagner, Paul D (Kiel University); Kumar, Shamita (Bharati Vidyapeeth Deemed University); Fohrer, Nicola (Kiel University)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1159075852,37 Earth Sciences; 3707 Hydrology,15 Life on Land
4820,pub.1165707163,10.1016/j.jenvman.2023.119512,37944319,,"Spatial characteristics of hydrochemistry and stable isotopes in river and groundwater, and runoff components in the Shule River Basin, Northeastern of Tibet Plateau","Water resources play a crucial role in constraining the high-quality development of the arid, necessitating an in-depth investigation and understanding of hydrological processes, hydrochemical characteristics, and their influencing factors amidst climate change. This study meticulously examined and analyzed the hydrochemistry and stable isotope composition (δ18O and δD) of river and groundwater within the Shule River Basin (SRB). Results showed that both river (mean: 8.01) and groundwater (mean: 7.92) had alkaline pH values, while average total dissolved solids were measured at 709.25 mg/L in river and 861.88 mg/L in groundwater, indicating predominance of fresh water sources. HCO3-, SO42-, Na+ and Ca2+ were the most abundant ions, influenced by evaporation-crystallization processes and rock weathering. The dominated hydrochemical facies in both river and groundwater were Ca-HCO3 type in the upper (UR) and the middle reaches (MR), while Ca-Mg-Cl type in the lower reaches (LR). The local meteoric water line (LMWL) was defined as δD = 8.01δ18O + 18.48 (R2 = 0.98, n = 163; P < 0 0.001). The more negative δ18O and δD values in river and groundwater were plotted nearby and lower right of the LMWL, implying that the important recharge source of those waters is from precipitation. The relationship between river δ18O and elevation showed an increase of 0.14‰/100 m in the UR, but a negative correlation with a rate of -0.47‰/100 m in the MR and LR. Precipitation, groundwater, baseflow and meltwater accounted for 62.5%, 19.8%, 11.9% and 5.8% of the UR river, respectively, during the observed period, according to the end-member mixing analysis. These runoff components displayed distinct seasonal variations, primarily driven by precipitation during the early and groundwater/baseflow during the rapid and end-stage ablation periods. The observed alterations in hydrological elements present both opportunities and challenges for water resource management across the SRB, and adaptive measures have been proposed based on our study. These findings provide valuable insights into efficient utilization of water resources from water chemistry and environmental isotopes.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This study was supported by the National Natural Science Foundation of China (Grant No. 42271022, 41771028, 41730751, 42130516 and 41971041) and the Second Tibetan Plateau Scientific Expedition and Research Program (2019QZKK020102).",,Journal of Environmental Management,,,"Rivers; Tibet; Environmental Monitoring; Groundwater; Isotopes; Water; Water Pollutants, Chemical",2023-11-07,2023,2023-11-07,2024-01,349,,119512,Closed,Article,"Xie, Cong; Liu, Hang; Li, Xingru; Zhao, Haichen; Dong, Xiying; Ma, Keke; Wang, Ninglian; Zhao, Liangju","Xie, Cong (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China.); Liu, Hang (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China.); Li, Xingru (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China.); Zhao, Haichen (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China.); Dong, Xiying (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China.); Ma, Keke (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China.); Wang, Ninglian (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China.); Zhao, Liangju (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710069, China. Electronic address: zhlj@nwu.edu.cn.)","Zhao, Liangju (Northwest University)","Xie, Cong (Northwest University); Liu, Hang (Northwest University); Li, Xingru (Northwest University); Zhao, Haichen (Northwest University); Dong, Xiying (Northwest University); Ma, Keke (Northwest University); Wang, Ninglian (Northwest University); Zhao, Liangju (Northwest University)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1165707163,37 Earth Sciences; 3707 Hydrology,
4818,pub.1167506207,10.1007/s10661-023-12262-x,38158498,,"Soil erosion vulnerability and soil loss estimation for Siran River watershed, Pakistan: an integrated GIS and remote sensing approach","Soil erosion is a problematic issue with detrimental effects on agriculture and water resources, particularly in countries like Pakistan that heavily rely on farming. The condition of major reservoirs, such as Tarbela, Mangla, and Warsak, is crucial for ensuring an adequate water supply for agriculture in Pakistan. The Kunhar and Siran rivers flow practically parallel, and the environment surrounding both rivers’ basins is nearly identical. The Kunhar River is one of KP’s dirtiest rivers that carries 0.1 million tons of suspended sediment to the Mangla reservoir. In contrast, the Siran River basin is largely unexplored. Therefore, this study focuses on the Siran River basin in the district of Manshera, Pakistan, aiming to assess annual soil loss and identify erosion-prone regions. Siran River average annual total soil loss million tons/year is 0.154. To achieve this, the researchers integrate Geographical Information System (GIS) and remote sensing (RS) data with the Revised Universal Soil Loss Equation (RUSLE) model. Five key variables, rainfall, land use land cover (LULC), slope, soil types, and crop management, were examined to estimate the soil loss. The findings indicate diverse soil loss causes, and the basin’s northern parts experience significant soil erosion. The study estimated that annual soil loss from the Siran River basin is 0.154 million tons with an average rate of 0.871 tons per hectare per year. RUSLE model combined with GIS/RS is an efficient technique for calculating soil loss and identifying erosion-prone areas. Stakeholders such as policymakers, farmers, and conservationists can utilize this information to target efforts and reduce soil loss in specific areas. Overall, the study’s results have the potential to advance initiatives aimed at safeguarding the Siran River watershed and its vital resources. Protecting soil resources and ensuring adequate water supplies are crucial for sustainable agriculture and economic development in Pakistan.","The authors acknowledge the Department of Geography, University of Peshawar, Department of Geography Islamia College Peshawar, and Department of Petroleum and Mining Engineering, Tishk International University, Erbil, Iraq.",,Environmental Monitoring and Assessment,,,Soil; Rivers; Geographic Information Systems; Soil Erosion; Acetylcysteine; Remote Sensing Technology; Pakistan; Environmental Monitoring; Conservation of Natural Resources,2023-12-30,2023,2023-12-30,2024-01,196,1,104,Closed,Article,"Mehwish, Mehwish; Nasir, Muhammad Jamal; Raziq, Abdur; Al-Quraishi, Ayad M. Fadhil; Ghaib, Fadhil Ali","Mehwish, Mehwish (Department of Geography, University of Peshawar, Peshawar, Pakistan); Nasir, Muhammad Jamal (Department of Geography, University of Peshawar, Peshawar, Pakistan); Raziq, Abdur (Department of Geography, Islamia College Peshawar, Peshawar, Pakistan); Al-Quraishi, Ayad M. Fadhil (Petroleum and Mining Engineering Department, Tishk International University, 44001, Erbil, Kurdistan Region, Iraq); Ghaib, Fadhil Ali (Petroleum and Mining Engineering Department, Tishk International University, 44001, Erbil, Kurdistan Region, Iraq)","Al-Quraishi, Ayad M. Fadhil (Tishk International University)","Mehwish, Mehwish (University of Peshawar); Nasir, Muhammad Jamal (University of Peshawar); Raziq, Abdur (Islamia College University); Al-Quraishi, Ayad M. Fadhil (Tishk International University); Ghaib, Fadhil Ali (Tishk International University)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1167506207,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology,15 Life on Land
4813,pub.1168947393,10.1007/s11356-024-32429-4,38366316,,"Effects of landscape pattern on water quality at multi-spatial scales in Wuding River Basin, China","Urbanization and agricultural land use have led to water quality deterioration. Studies have been conducted on the relationship between landscape patterns and river water quality; however, the Wuding River Basin (WDRB), which is a complex ecosystem structure, is facing resource problems in river basins. Thus, the multi-scale effects of landscape patterns on river water quality in the WDRB must be quantified. This study explored the spatial and seasonal effects of land use distribution on river water quality. Using the data of 22 samples and land use images from the WDRB for 2022, we quantitatively described the correlation between river water quality and land use at spatial and seasonal scales. Stepwise multiple linear regression (SMLR) and redundancy analyses (RDA) were used to quantitatively screen and compare the relationships between land use structure, landscape patterns, and water quality at different spatial scales. The results showed that the sub-watershed scale is the best spatial scale model that explains the relationship between land use and water quality. With the gradual narrowing of the spatial scale range, cultivated land, grassland, and construction land had strong water quality interpretation abilities. The influence of land use type on water quality parameter variables was more distinct in rainy season than in the dry season. Therefore, in the layout of watershed management, reasonably adjusting the proportion relationship of vegetation and artificial building land in the sub-basin scale and basin scope can realize the effective control of water quality optimization.",,"National Natural Science Foundation of China,Grant No.2243201,Peng Li,42107368,Peng Li,Key Research and Development Projects of Shaanxi Province,2023-ZDLSF-65,Peng Li",Environmental Science and Pollution Research,,,Water Quality; Environmental Monitoring; Ecosystem; Rivers; China,2024-02-16,2024,2024-02-16,2024-03,31,13,19699-19714,Closed,Article,"Zhao, Chen’guang; Li, Peng; Yan, Zixuan; Zhang, Chaoya; Meng, Yongxia; Zhang, Guojun","Zhao, Chen’guang (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, No. 5, South Jinhua Road, 710048, Xi’an, Shaanxi, China; State Key Laboratory of National Forestry Administration On Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, 710048, Xi’an, Shaanxi, China); Li, Peng (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, No. 5, South Jinhua Road, 710048, Xi’an, Shaanxi, China; State Key Laboratory of National Forestry Administration On Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, 710048, Xi’an, Shaanxi, China); Yan, Zixuan (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, No. 5, South Jinhua Road, 710048, Xi’an, Shaanxi, China; State Key Laboratory of National Forestry Administration On Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, 710048, Xi’an, Shaanxi, China); Zhang, Chaoya (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, No. 5, South Jinhua Road, 710048, Xi’an, Shaanxi, China; State Key Laboratory of National Forestry Administration On Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, 710048, Xi’an, Shaanxi, China); Meng, Yongxia (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, No. 5, South Jinhua Road, 710048, Xi’an, Shaanxi, China; State Key Laboratory of National Forestry Administration On Ecological Hydrology and Disaster Prevention in Arid Regions, Xi’an University of Technology, 710048, Xi’an, Shaanxi, China); Zhang, Guojun (Ningxia Soil and Water Conservation Monitoring Station, 750002, Yin Chuan, Ningxia, China)","Li, Peng (Xi'an University of Technology; Xi'an University of Technology)","Zhao, Chen’guang (Xi'an University of Technology; Xi'an University of Technology); Li, Peng (Xi'an University of Technology; Xi'an University of Technology); Yan, Zixuan (Xi'an University of Technology; Xi'an University of Technology); Zhang, Chaoya (Xi'an University of Technology; Xi'an University of Technology); Meng, Yongxia (Xi'an University of Technology; Xi'an University of Technology); Zhang, Guojun (Ningxia Soil and Water Conservation Monitoring Station, 750002, Yin Chuan, Ningxia, China)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168947393,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences; 3704 Geoinformatics; 41 Environmental Sciences; 4102 Ecological Applications,15 Life on Land
4808,pub.1148833062,10.1016/j.scitotenv.2022.156845,35750180,,Managing basin-wide ecosystem services using the bankruptcy theory,"Bankrupt ecosystems are those that cannot appropriately provide all their ecosystem services. In this paper, a novel bankruptcy-based methodology is developed to manage ecosystem services. To test the applicability of the developed methodology, it is used in the Zarrinehrud river basin in Iran. First, an integrated framework is used to assess regulating, supporting, provisioning, and cultural ecosystem services of the study area under three climate change scenarios of Representative Concentration Pathway (RCP) 4.5, 6.0, and 8.5. Then, for each ecosystem service, an aggregated utility is calculated that takes into account the stakeholders' different opinions toward ecosystem services. The utilities of the ecosystem services show that the Zarrinehrud river basin is bankrupt. To manage this ecosystem, six bankruptcy methods of Adjusted Proportional, Constrained Equal Loss, Constrained Equal Award, Piniles, Talmud, and Hybrid are developed and used in the study area. In this study, the summation of ecosystem services' aggregated utilities under each management scenario is considered as an asset, and all mentioned bankruptcy methods are used to redistribute these assets to different ecosystem services. Considering aggregated utilities, redistributed utilities, and each ecosystem service's claim, two different Root Mean Square Error-based approaches are developed to find the most applicable management scenario in a bankruptcy condition. Using the mentioned approaches, management scenario 128, which is comprised of all management packages, is chosen as the best option under all climate change scenarios. This scenario includes projects such as improving cropping patterns, allocating water to the lake from new water resources, and rehabilitating irrigation and draining systems. Moreover, analyzing the results derived from different bankruptcy methods shows that the Talmud, Hybrid, and Constrained Equal Loss methods have the best performance.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,The Science of The Total Environment,,,Bankruptcy; Climate Change; Conservation of Natural Resources; Ecosystem; Rivers; Water Resources,2022-06-21,2022,2022-06-21,2022-10,842,,156845,Closed,Article,"Ashrafi, Saeed; Khoie, Mohammad Masoud Mohammadpour; Kerachian, Reza; Shafiee-Jood, Majid","Ashrafi, Saeed (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.); Khoie, Mohammad Masoud Mohammadpour (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.); Kerachian, Reza (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: kerachian@ut.ac.ir.); Shafiee-Jood, Majid (Department of Engineering Systems and Environment, University of Virginia, Charlottesville, Virginia, USA.)","Kerachian, Reza (University of Tehran)","Ashrafi, Saeed (University of Tehran); Khoie, Mohammad Masoud Mohammadpour (University of Tehran); Kerachian, Reza (University of Tehran); Shafiee-Jood, Majid (University of Virginia)",12,12,1.75,5.0,,https://app.dimensions.ai/details/publication/pub.1148833062,38 Economics; 41 Environmental Sciences; 4102 Ecological Applications,
4808,pub.1148684945,10.1038/s41598-022-14524-z,35705681,PMC9200831,Ecohydrological effects of water conveyance in a disconnected river in an arid inland river basin,"Water system management is a worldwide challenge, especially in arid and semi-arid regions. Ecological water conveyance projects aim to raise the groundwater table, thereby saving natural vegetation and curbing ecological deterioration. Since 2000, these projects have been implemented in the arid zone of northwest China, with generally successful outcomes. Taking a portion of the lower reaches of the Tarim River as the study area, this paper analyzes in detail the ecohydrological effects which have occurred since the launching of artificial water conveyance 20 years ago. The results show that the groundwater table in the upper, middle and lower segments of the Tarim River’s lower reaches has been raised on average 4.06, 4.83 and 5.13 m, respectively, while the area of surface water bodies connected to those sections has expanded from 49.00 km2 to 498.54 km2. At the same time, Taitema Lake, which is the terminal lake of the Tarim River, has been revived and now boasts a water area of 455.27 km2. Other findings indicate that the surface ecological response is extremely sensitive and that the area of natural vegetation has expanded to 1423 km2. Furthermore, the vegetation coverage, vegetation index (NDVI), and Net Primary Productivity (NPP) have increased by 132 km2, 0.07 and 7.6 g C m−2, respectively, and the Simpson dominance, McIntosh evenness, and Margalef richness indices have risen by 0.33, 0.35 and 0.49, respectively, in the monitored sample sites. As well, the carbon sink area has expanded from 1.54% to 7.8%. Given the increasing intensity of the occurrence of extreme hydrological events and successive dry years, similar ecological water conveyance projects should be considered elsewhere in China and in other parts of the world. The water conveyance scheme has generally proven successful and should be optimized to enhance the benefits of ecological water conveyance under water resource constraints.",The research is supported by the National Natural Science Foundation of China (Grant No.U1903114).,,Scientific Reports,,,China; Rivers; Water; Water Movements; Water Resources; Water Supply,2022-06-15,2022,2022-06-15,,12,1,9982,All OA; Gold,Article,"Chen, Yaning; Chen, Yapeng; Zhu, Chenggang; Wang, Yang; Hao, Xingming","Chen, Yaning (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 830011, Urumqi, China); Chen, Yapeng (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 830011, Urumqi, China); Zhu, Chenggang (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 830011, Urumqi, China); Wang, Yang (College of Grassland and Environmental Sciences, Xinjiang Agricultural University, 830052, Urumqi, China); Hao, Xingming (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, 830011, Urumqi, China; Akesu National Station of Observation and Research for Oasis Agro-Ecosystem, 843017, Akesu, China)","Chen, Yapeng (Xinjiang Institute of Ecology and Geography)","Chen, Yaning (Xinjiang Institute of Ecology and Geography); Chen, Yapeng (Xinjiang Institute of Ecology and Geography); Zhu, Chenggang (Xinjiang Institute of Ecology and Geography); Wang, Yang (Xinjiang Agricultural University); Hao, Xingming (Xinjiang Institute of Ecology and Geography; Akesu National Station of Observation and Research for Oasis Agro-Ecosystem, 843017, Akesu, China)",12,12,0.33,6.41,https://www.nature.com/articles/s41598-022-14524-z.pdf,https://app.dimensions.ai/details/publication/pub.1148684945,37 Earth Sciences; 3707 Hydrology,14 Life Below Water
4806,pub.1151689024,10.1016/j.jenvman.2022.116447,36352722,,Integrated water quality modeling in a river-reservoir system to support watershed management,"Water resources planning and management are dependable on an adequate integration of physical, chemical, biological, and socio-economic realities of multiple water users. The dynamic of water quantity and quality in rivers are affected by several conditions, such as land use, soil characteristics, and meteorological and hydrological processes. Among these, the presence of hydraulic structures, such as dams and reservoirs, are often responsible for hydrodynamic and geomorphological alterations, leading to impacts on water quality and ecological behavior. In this context, this study presents the combination of a solution of the one-dimensional flow and transport and fate of contaminants in rivers (SihQual model) with a continuously stirred tank reactor (CSTR) to represent the reservoir. The first model solves the hydrodynamic and water quality equations under unsteady state, while the second approach considers the reservoir as a complete mixed system with inputs that vary over time. The main goal is to provide an integrated analysis for planning and management in a watershed where water has multiple purposes of use. The case study is the Iguaçu watershed, where the main river is affected by several dams for hydroelectric power generation. The simulation covers 542 km of the Iguaçu River and the Foz do Areia reservoir (flooded area of 139.5 km2), using data from 12 monitoring stations. The region also has issues of water quality impairment and water scarcity events due to deforestation, and urban and agricultural activities, exemplifying challenges throughout the world. Results show that the integrated models can reproduce the expected variability in different systems, although calibration challenges arise in multiscale modeling. The data indicate that, overall, the lentic environment is able to deplete organic matter and phosphorus, in comparison to levels in the fluvial flow. Nonetheless, experiments show that the river-reservoir system may be highly sensible to external and internal changes, such as water availability throughout time and pollution from the main tributary, as well as outlet discharges and transformation processes in the water column, leading to a possibility of critical events. Therefore, the study highlights how planning and managing actions in the watershed can benefit from an integrated river-reservoir analysis.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,Journal of Environmental Management,,,"Rivers; Water Quality; Models, Theoretical; Hydrology; Phosphorus; Environmental Monitoring; Water Pollutants, Chemical",2022-10-08,2022,2022-10-08,2022-12,324,,116447,Closed,Article,"Ferreira, Danieli Mara; Fernandes, Cristovão Vicente Scapulatempo","Ferreira, Danieli Mara (Post-graduate Program on Water Resources and Environmental Engineering, Curitiba, Brazil. Electronic address: danielimaraferreira@gmail.com.); Fernandes, Cristovão Vicente Scapulatempo (Post-graduate Program on Water Resources and Environmental Engineering, Curitiba, Brazil. Electronic address: cvs.fernandes@gmail.com.)","Ferreira, Danieli Mara (Post-graduate Program on Water Resources and Environmental Engineering, Curitiba, Brazil. Electronic address: danielimaraferreira@gmail.com.)","Ferreira, Danieli Mara (Post-graduate Program on Water Resources and Environmental Engineering, Curitiba, Brazil. Electronic address: danielimaraferreira@gmail.com.); Fernandes, Cristovão Vicente Scapulatempo (Post-graduate Program on Water Resources and Environmental Engineering, Curitiba, Brazil. Electronic address: cvs.fernandes@gmail.com.)",6,6,0.56,3.01,,https://app.dimensions.ai/details/publication/pub.1151689024,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land; 6 Clean Water and Sanitation; 7 Affordable and Clean Energy
4804,pub.1151469152,10.3390/ijerph191912453,36231753,PMC9565021,Spatial–Temporal Variations of Water Quality in Urban Rivers after Small Sluices Construction: A Case in Typical Regions of the Taihu Lake Basin,"Urban river pollution is considered a 'necessary evil' consequence of disproportionate developmental expansion in metropolises. Unprecedented expansion and anthropic activities lead to the deterioration of urban rivers with municipal and industrial sewage. The construction of sluices is one of the irrefutable parts of the process. In order to prevent floods and drought, many cities build sluices and dams in rivers to balance water quantity in different seasons. To explore the change characteristics of the water quality in urban rivers after the construction of sluices and dams, the change in the total phosphorus (TP) and total nitrogen (TN) concentrations upstream and downstream of rivers was investigated under the condition of sluices closure in Wuxi. According to the results, when the sluices were closed, the pollutants of TP and TN would accumulate upstream in rivers, which caused the water quality in the upper reaches to be worse than that in the lower reaches. Specifically, the TN and TP concentrations downstream of urban rivers in Wuxi were approximately 14.42% and 13.80% lower than those upstream when the sluices were closed. Additionally, the water quality in urban rivers was usually better in summer and autumn than in the other seasons, showing obvious seasonality after the construction of the sluices. The research will provide a theoretical basis for future sluice operation and the water resources management of urban rivers.",,"This work was supported by the Oversea Study Fellowship from the China Scholarship Council, National Natural Science Foundation of China (No.42007151), China’s National Key Research and Development Program (No.2017YFC0505803), the Natural Science Foundation of Colleges and Universities of Jiangsu Province (No.19KJB610015), the Philosophy and Social Science Foundation of Colleges and Universities of Jiangsu Province (No.2019SJA0108), Jiangsu Funding Program for Excellent Postdoctoral Talent (JB0206015). The authors wish to thank Nanjing University for providing MIKE software to be used in this study.",International Journal of Environmental Research and Public Health,,,"China; Environmental Monitoring; Environmental Pollutants; Lakes; Nitrogen; Phosphorus; Sewage; Water Pollutants, Chemical; Water Quality",2022-09-29,2022,2022-09-29,,19,19,12453,All OA; Gold,Article,"Lan, Feng; Haisen, Wang; Yan, Yan","Lan, Feng (College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China; College of Environment and Biology, Nanjing Forestry University, Nanjing 210037, China); Haisen, Wang (College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China); Yan, Yan (Taihu Water Pollution Prevention and Control Research Center, Jiangsu Provincial Academy of Environmental Science, Nanjing 210042, China)","Yan, Yan (Jiangsu Provincial Academy of Environmental Science)","Lan, Feng (Nanjing Forestry University; Nanjing Forestry University); Haisen, Wang (Nanjing Forestry University); Yan, Yan (Jiangsu Provincial Academy of Environmental Science)",2,2,0.59,1.07,https://www.mdpi.com/1660-4601/19/19/12453/pdf?version=1665285841,https://app.dimensions.ai/details/publication/pub.1151469152,37 Earth Sciences; 3707 Hydrology; 40 Engineering,
4804,pub.1112873462,10.1016/j.jenvman.2019.03.045,30901699,,A comprehensive optimum integrated water resources management approach for multidisciplinary water resources management problems,"A holistic Integrated Water Resources Management (IWRM) model can be difficult to implement and the associated high-dimension optimization problems' complexity often forces the decision makers to downscale such problems. These challenges however have motivated this research to develop a comprehensive Optimum IWRM approach (OP-IWRM) using a many-objective optimization algorithm to solve complex and large-scale problems. The approach employs the social, economic, and environmental objectives; ground and surface water resources; and water infrastructure for river basin management to: (1) improve the relevant revenues, (2) enhance community welfare, and (3) pave the road for the decision makers to set better investment policy. The results demonstrate comprehensive improvement of all considered targets. The decision makers may reconsider implementing complex integrated water resources management of large-scale regions. The OP-IWRM may extend for country-scale approach as a pathway towards a national sustainable development plan. The large-scale Diyala river basin, Iraq, was adopted to evaluate the approach using seventeen objectives and more than 1500 decision variables.",This research is funded in part by the Government of Iraq - Ministry of Higher Education and Scientific Research (MHESR)/University of Baghdad under scheme of Iraqi National PhD Scholarship Programme for the first author and this is gratefully acknowledged. The Iraqi Ministry of Water Resources has also acknowledged providing the data.,,Journal of Environmental Management,,,Conservation of Natural Resources; Iraq; Rivers; Water Resources,2019-03-19,2019,2019-03-19,2019-06,239,,211-224,Closed,Article,"Al-Jawad, Jafar Y.; Alsaffar, Hassan M.; Bertram, Douglas; Kalin, Robert M.","Al-Jawad, Jafar Y. (Department of Civil and Environmental Engineering, University of Strathclyde Glasgow, 75 Montrose St, Glasgow, G1 1XJ, United Kingdom); Alsaffar, Hassan M. (National Center for Water Resources Management, Ministry of Water Resources, Baghdad, Iraq); Bertram, Douglas (Department of Civil and Environmental Engineering, University of Strathclyde Glasgow, 75 Montrose St, Glasgow, G1 1XJ, United Kingdom); Kalin, Robert M. (Department of Civil and Environmental Engineering, University of Strathclyde Glasgow, 75 Montrose St, Glasgow, G1 1XJ, United Kingdom)","Al-Jawad, Jafar Y. (University of Strathclyde)","Al-Jawad, Jafar Y. (University of Strathclyde); Alsaffar, Hassan M. (National Center for Water Resources Management, Ministry of Water Resources, Baghdad, Iraq); Bertram, Douglas (University of Strathclyde); Kalin, Robert M. (University of Strathclyde)",70,28,1.31,31.7,,https://app.dimensions.ai/details/publication/pub.1112873462,37 Earth Sciences; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4780,pub.1168708261,10.1016/j.jenvman.2024.120249,38335594,,Blueing green water from forests as strategy to cope with climate change in water scarce regions: The case of the Catalan river basin District,"Water scarcity in Mediterranean basins is a critical concern exacerbated by climate change and afforestation of abandoned lands. This study addresses the impact of forest management on water availability, specifically blue water, at a regional scale. Utilizing the SWAT + model, we assess water yield increases resulting from various forest thinning scenarios (light, moderate, heavy) and compare benefits to costs. Our approach incorporates site-specific marginal values of water yield, accounting for urban water supply abstractions. The findings reveal the efficacy of hydrological-oriented forest management in alleviating water scarcity. Thinning intensity positively correlates with water yield, with coniferous forests exhibiting the greatest response and deciduous forests the least. Emphasizing blue water enhancement as a significant co-benefit in forest management planning, our study underscores the economic advantages. Particularly valuable in certain areas, this approach can offset a substantial portion of associated costs. Spatially explicit results enable optimal resource allocation, facilitating efficient planning and prioritization of intervention areas for successful hydrological-oriented strategies. In conclusion, our study not only highlights the economic benefits of forest management in enhancing water availability but also offers actionable insights for sustainable and effective hydrological-oriented planning amid escalating water scarcity.",Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Xavier Garcia reports financial support was provided by European Commission. Laia Estrada reports financial support was provided by Government of Catalonia. Acknowledgements The authors want to express their gratitude to Adrià Riu for his invaluable contribution in developing the Python script used to calculate the spatial marginal value of water yield.,"Xavier Garcia acknowledges funding from the European Union Horizon 2020 project MERLIN (H2020-LC-GD-2020-3: 101036337). Laia Estrada acknowledges funding from the Secretariat of Universities and Research of Generalitat de Catalunya and the European Social Fund for her FI fellowship (2023 FI-2 00168). Authors acknowledge the support from the Economy and Knowledge Department of the Catalan Government through Consolidated Research Groups (ICRA-ENV 2021 SGR 01282), as well as from the CERCA program.",Journal of Environmental Management,,,Climate Change; Rivers; Water; Water Insecurity; Forests; Ecosystem,2024-02-09,2024,2024-02-09,2024-02,353,,120249,Closed,Article,"Garcia, Xavier; Estrada, Laia; Saló, Joan; Acuña, Vicenç","Garcia, Xavier (Catalan Institute for Water Research (ICRA-CERCA), Emili Grahit 101, 17003, Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004, Girona, Spain. Electronic address: xgarcia@icra.cat.); Estrada, Laia (Catalan Institute for Water Research (ICRA-CERCA), Emili Grahit 101, 17003, Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004, Girona, Spain.); Saló, Joan (Catalan Institute for Water Research (ICRA-CERCA), Emili Grahit 101, 17003, Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004, Girona, Spain.); Acuña, Vicenç (Catalan Institute for Water Research (ICRA-CERCA), Emili Grahit 101, 17003, Girona, Spain; Universitat de Girona, Plaça de Sant Domènec 3, 17004, Girona, Spain.)","Garcia, Xavier (Catalan Institute for Water Research; University of Girona)","Garcia, Xavier (Catalan Institute for Water Research; University of Girona); Estrada, Laia (Catalan Institute for Water Research; University of Girona); Saló, Joan (Catalan Institute for Water Research; University of Girona); Acuña, Vicenç (Catalan Institute for Water Research; University of Girona)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1168708261,38 Economics; 3801 Applied Economics; 41 Environmental Sciences,6 Clean Water and Sanitation
4778,pub.1152509105,10.1002/jeq2.20429,36334025,,Evaluating water quality benefits of manureshed management in the Susquehanna River Basin,"Manureshed management guides the sustainable use of manure resources by matching areas of crop demand (nutrient sinks) with areas generating livestock manure (nutrient sources). A better understanding of the impacts of manureshed management on water quality within sensitive watersheds is needed. We quantified the potential water quality benefits of manureshed-oriented management through scenario-based analyses in the Susquehanna River Basin (SRB) using the Soil and Water Assessment Tool. Five manureshed management scenarios were developed and compared with a baseline ""business-as-usual"" scenario. The baseline assumes manure is less transportable, which means some locations have manure application in excess of crop demand. The ""watershed nutrient balance"" scenarios assume excess manure from surplus locations is transportable and that manure is applied around the SRB based on crop nutrient demand. The ""watershed nutrient balance avoiding runoff prone areas"" scenarios assume manure is transportable but not applied in vulnerable landscapes of the SRB. Each scenario was evaluated under two application rates considering crop nitrogen demand (N-based) and phosphorus demand (P-based). Phosphorus-based manureshed management was more effective in water quality improvements than N-based management. Phosphorus-based nutrient balance scenarios simulated 3 and 25% reduction in total N (TN) and total P (TP), respectively, from the baseline scenario at the watershed outlet. The N- and P-based scenarios avoiding runoff prone areas simulated 3 and 6% reduction in TN loss and 4 and 25.2% reduction in TP loss, respectively, from the baseline. Overall, the manureshed management scenarios were more effective in improving the quality of local streams in livestock-intensive regions than at the watershed outlet.","ACKNOWLEDGMENTS This research is a contribution from and supported, in part, by the USDA long‐term agroecosystem research (LTAR) network. This work is also supported by Sustainable Agricultural Systems grant no. 2019‐68012‐29904/project accession no. 1019799 from the USDA National Institute of Food and Agriculture. R. Cibin is supported, in part, by the USDA National Institute of Food and Agriculture Federal Appropriations under Project PEN04574 and accession no. 1004448. The Pennsylvania State University and the USDA are equal opportunity providers and employers. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the USDA. CONFLICT OF INTEREST The authors declare no conflict of interest.",,Journal of Environmental Quality,,,Animals; Water Quality; Rivers; Manure; Soil; Phosphorus; Nitrogen; Livestock; Agriculture,2023-01-17,2023,2023-01-17,2023-03,52,2,328-340,All OA; Bronze,Article,"Saha, Arghajeet; Saha, Gourab K.; Cibin, Raj; Spiegal, Sheri; Kleinman, Peter J. A.; Veith, Tamie L.; White, Charles. M.; Drohan, Patrick. J.; Tsegaye, Teferi","Saha, Arghajeet (Dep. of Agricultural and Biological Engineering, The Pennsylvania State Univ., University Park, PA, 16802, USA); Saha, Gourab K. (Dep. of Agricultural and Biological Engineering, The Pennsylvania State Univ., University Park, PA, 16802, USA); Cibin, Raj (Dep. of Agricultural and Biological Engineering, The Pennsylvania State Univ., University Park, PA, 16802, USA; Dep. of Civil and Environmental Engineering, The Pennsylvania State Univ., University Park, PA, 16802, USA); Spiegal, Sheri (USDA‐ARS, Jornada Experimental Range, Las Cruces, NM, 88003, USA); Kleinman, Peter J. A. (USDA‐ARS, Soil Management and Sugarbeet Research Unit, Fort Collins, CO, 80526, USA); Veith, Tamie L. (USDA‐ARS, Pasture Systems and Watershed Management Research Unit, University Park, PA, 16802, USA); White, Charles. M. (Dep. of Plant Science, The Pennsylvania State Univ., University Park, PA, 16802, USA); Drohan, Patrick. J. (Dep. of Ecosystem Science and Management, The Pennsylvania State Univ., University Park, PA, 16802, USA); Tsegaye, Teferi (USDA‐ARS, Office of National Programs, Beltsville, MD, 20705, USA)","Cibin, Raj (Pennsylvania State University; Pennsylvania State University)","Saha, Arghajeet (Pennsylvania State University); Saha, Gourab K. (Pennsylvania State University); Cibin, Raj (Pennsylvania State University; Pennsylvania State University); Spiegal, Sheri (Agricultural Research Service - Plains Area); Kleinman, Peter J. A. (Center for Agricultural Resources Research); Veith, Tamie L. (Agricultural Research Service - Northeast Area); White, Charles. M. (Pennsylvania State University); Drohan, Patrick. J. (Pennsylvania State University); Tsegaye, Teferi (Agricultural Research Service - Northeast Area)",3,3,,,https://rss.onlinelibrary.wiley.com/doi/am-pdf/10.1002/jeq2.20429,https://app.dimensions.ai/details/publication/pub.1152509105,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4772,pub.1164619785,10.1007/s00267-023-01891-0,37782327,,Streamlining Pesticide Regulation Across International River Basins for Effective Transboundary Environmental Management,"Pesticide standard values (PSVs) are critical for environmental management, environmental quality control, and remediation. Some countries or regions share river basins; however, their pesticide regulations are inconsistent, which could create a barrier to transboundary environmental management. To address this issue, we propose PSV scores for neighboring countries in order to promote pesticide regulatory harmonization within international river basins. Representative pesticides were selected to define PSV scores, including chemicals that are currently and historically widely used. Countries or regions from five international river basins were chosen for analysis: the Amazon, Mekong-Lancang, Rhine-Meuse, Danube, and Great Lakes. PSV scores were calculated for each of four environmental compartments: soil, surface freshwater, groundwater, and drinking water. The results revealed that current regulatory agencies lack PSVs of current used pesticides for surface freshwater. With the exception of the member states of the European Union and the Great Lakes states of the United States, the majority of basin countries or regions lack uniform pesticide regulations in environmental compartments to facilitate transboundary environmental management. In addition, PSVs have not been established for a large number of pesticides currently used in agriculture, which could lead to water contamination by pesticides used in upstream environmental compartments (e.g., croplands). Also, current PSVs do not align across environmental compartments, which could cause inter-environmental contamination by pesticides used in upstream compartments. In light of the fact that current river basins lack uniform pesticide regulations, the following recommendations are provided to promote transboundary environmental management: (1) river basin regions should collaborate on pesticide regulation establishment, (2) pesticide regulations should be aligned across environmental compartments, (3) current-use pesticides should receive more attention, and (4) quantitative approaches should be proposed for linking PSVs across environmental compartments. This study provides a regulatory tool to identify possible gaps in transboundary environmental management and improve the pesticide regulatory policies. It is expected to establish cooperation organizations to enhance regulatory communications and collaborations for transboundary environmental pesticide management.",This work was financially supported by the National Natural Science Foundation of China (Grant No. 42107495). Certain figures were created using Microsoft 3D Models and ArcGIS.,,Environmental Management,,,"Pesticides; Rivers; Conservation of Natural Resources; Water Pollutants, Chemical; Environmental Monitoring; Water Pollution; Lakes",2023-10-02,2023,2023-10-02,2024-01,73,1,67-80,Closed,Article,"Huang, Yabi; Li, Zijian","Huang, Yabi (School of Public Health (Shenzhen), Sun Yat-sen University, 518107, Shenzhen, Guangdong, China); Li, Zijian (School of Public Health (Shenzhen), Sun Yat-sen University, 518107, Shenzhen, Guangdong, China)","Li, Zijian (Sun Yat-sen University)","Huang, Yabi (Sun Yat-sen University); Li, Zijian (Sun Yat-sen University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1164619785,41 Environmental Sciences; 4104 Environmental Management; 48 Law and Legal Studies; 4802 Environmental and Resources Law,
4771,pub.1163720609,10.1007/s10661-023-11682-z,37651050,,"An integrated groundwater resource management approach for sustainable development in a tropical river basin, southern India","Evaluation of aquifer potential is essential, as the potable water demand has increased globally over the last few decades. The present study delineated different zones of groundwater potential and groundwater quality of the Kallada River basin (KRB) in southern India, using geo-environmental and hydrogeochemical parameters, respectively. Geo-environmental variables considered include relative relief, land use/land cover, drainage density, slope angle, geomorphology, and geology, while hydrogeochemical parameters include pH, electrical conductivity (EC), Cl−, Fe3+, and Al3+ concentrations. Analytical hierarchy process (AHP) was used for categorizing groundwater potential and quality zones. Nearly 50% of KRB is categorized as very high and high groundwater potential zones, occupying the western and midland regions. The central and west-central parts of KRB are characterized by excellent groundwater quality zones, while the eastern and western parts are characterized by good and poor groundwater quality zones, respectively. By integrating the groundwater potential and groundwater quality, sustainable groundwater management is observed to be necessary at about 54% of the basin, where site-specific groundwater management structures such as percolation ponds, injection wells, and roof water harvesting have been proposed using a rule-based approach. This integrated groundwater potential-groundwater quality approach helps policymakers to implement the most suitable management strategies with maximum performance.","This work was carried out at the Department of Geology, Karyavattom campus, University of Kerala. The authors thank the Kerala State Planning Board for funding (Grant no.: 1125/2013/H.Edn/10/06/2013). The first author also thanks to the University of Kerala for research fellowship and acknowledges the Erasmus Mundus exchange fellowship provided by the Impakt program of the European Union.",Kerala State Planning Board for funding (Grant no.: 1125/2013/H.Edn/10/06/2013).,Environmental Monitoring and Assessment,,,Groundwater; India; Rivers; Drinking Water; Seasons; Policy Making; Environment Design; Geological Phenomena; Water Wells,2023-08-31,2023,2023-08-31,2023-09,195,9,1129,Closed,Article,"Aju, CD; Achu, AL; Prakash, Pranav; Reghunath, Rajesh; Raicy, MC","Aju, CD (Department of Geology, University of Kerala, Thiruvananthapuram-695 581, Kerala, India); Achu, AL (Department of Climate Variability and Aquatic Ecosystems, Kerala University of Fisheries and Ocean Studies (KUFOS), Kochi-682 508, Kerala, India); Prakash, Pranav (Department of Geology, University of Kerala, Thiruvananthapuram-695 581, Kerala, India); Reghunath, Rajesh (Department of Geology, University of Kerala, Thiruvananthapuram-695 581, Kerala, India; International and Inter University Centre for Natural Resources Management, University of Kerala, Thiruvananthapuram-695 581, Kerala, India); Raicy, MC (Hydrology and Climatology Research Group, Centre for Water Resources Development and Management (CWRDM), 673571, Kozhikode, India)","Achu, AL (Kerala University of Fisheries and Ocean Studies)","Aju, CD (University of Kerala); Achu, AL (Kerala University of Fisheries and Ocean Studies); Prakash, Pranav (University of Kerala); Reghunath, Rajesh (University of Kerala; University of Kerala); Raicy, MC (Centre for Water Resources Development and Management)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1163720609,37 Earth Sciences; 3705 Geology; 3707 Hydrology; 41 Environmental Sciences,15 Life on Land
4762,pub.1169908031,10.1007/s10661-024-12514-4,38502242,,Typology and classification of water quality in an intermittent river in a semi-arid Mediterranean climate,"The typology and classification of rivers are highly relevant concepts in the field of limnology and freshwater ecology. Water body typology systematically categorizes water bodies based on their natural attributes, while water body classification groups them based on specific criteria or purposes for management, regulatory, or administrative reasons. Both concepts play important roles in understanding and managing water resources effectively. This scientific article focuses on the ZAT River in Morocco as a model for studying low-flow and intermittent rivers. The objective is to develop an accurate model for the typology and classification of small, low-flow rivers into homogeneous classes based on natural and anthropogenic factors. The study also investigates the impact of human activities on altering the uniformity and reference nature of the water body. The typology of water bodies is carried out according to the European methodology specified in The European Commission’s Water Framework Directive (WFD) in 2000. The classification of water bodies is conducted by assessing their chemical and biological quality using the weighted index (WI), the Iberian Biological Monitoring Working Group (IBMWP) index, and multivariate statistical methods such as principal component analysis (PCA) for confirming water quality assessment. The results indicate the possibility of dividing the basin into four water bodies. Water bodies show homogeneity in terms of chemical quality when human influence is minimal or during periods of high river flow. However, increased human influence and decreased river flows lead to heterogeneity in chemical quality, indicating an unstable state. This study is the first of its kind in arid and semi-arid intermittent rivers, where such an approach could be suggested to determine their typology and classification.","We would like to thank the Tensift Hydraulic Basin Agency (THBA) for providing the data used in this work, and we also appreciate the Erasmus Project for providing the funding necessary to complete this study.",,Environmental Monitoring and Assessment,,,Humans; Water Quality; Rivers; Environmental Monitoring; Desert Climate; Fresh Water,2024-03-19,2024,2024-03-19,2024-04,196,4,381,Closed,Article,"Bouriqi, Abdelillah; Ouazzani, Naaila; Benaissa, Hassan; Benaddi, Rabia; Deliège, Jean-François","Bouriqi, Abdelillah (EauBiodiCc Laboratory, Water, Biodiversity and Climate Changes, Faculty of Sciences Semlalia, Cadi Ayyad University, Bd. Prince My Abdellah, B.P. 2390, 40000, Marrakech, Morocco; PeGIRE Laboratory, RU FOCUS-Aquapôle, Liège University, Liège, Belgium); Ouazzani, Naaila (EauBiodiCc Laboratory, Water, Biodiversity and Climate Changes, Faculty of Sciences Semlalia, Cadi Ayyad University, Bd. Prince My Abdellah, B.P. 2390, 40000, Marrakech, Morocco); Benaissa, Hassan (EauBiodiCc Laboratory, Water, Biodiversity and Climate Changes, Faculty of Sciences Semlalia, Cadi Ayyad University, Bd. Prince My Abdellah, B.P. 2390, 40000, Marrakech, Morocco); Benaddi, Rabia (EauBiodiCc Laboratory, Water, Biodiversity and Climate Changes, Faculty of Sciences Semlalia, Cadi Ayyad University, Bd. Prince My Abdellah, B.P. 2390, 40000, Marrakech, Morocco); Deliège, Jean-François (PeGIRE Laboratory, RU FOCUS-Aquapôle, Liège University, Liège, Belgium)","Ouazzani, Naaila (Cadi Ayyad University)","Bouriqi, Abdelillah (Cadi Ayyad University; University of Liège); Ouazzani, Naaila (Cadi Ayyad University); Benaissa, Hassan (Cadi Ayyad University); Benaddi, Rabia (Cadi Ayyad University); Deliège, Jean-François (University of Liège)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1169908031,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4743,pub.1140873221,10.1016/j.scitotenv.2021.150075,34520911,,"Copula-based framework for integrated evaluation of water quality and quantity: A case study of Yihe River, China","Water quantity and quality are two key factors affecting the performance of integrated watershed management. Conventional water resources assessment of rivers often deals with water quantity and quality separately. However, how to make an objective and impartial assessment of water resources by incorporating both water quantity and quality remains unclear, especially in watersheds with significant human activity impacts and high spatiotemporal variations in flows. In such areas, the nonmonotonic relationship between the water quality and discharge rate of a river, in contrast to near-natural conditions, is often ignored. To resolve this problem, this paper develops a new framework for the integrated evaluation of water quantity and quality by incorporating a new index, namely, the water quality improvement degree (WQID). The WQID is proposed to quantify the disturbance degree of human activities to the near-natural relationship between the water quality and discharge rate of a river. The Yihe River in Northern China is selected as a case study to apply the proposed framework. The results show that the observed flow discharge rates of some abnormal months after a specific time of change-point are greater than the estimated discharges under the river's near-natural condition. The WQID values in these abnormal months are less than 1, resulting in a decrease in the modified water resources surplus (WRS*) or an increase in the modified water resources deficit (WRD*). This indicates that the WQID can take into account the near-natural law between water quantity and quality to make a more objective evaluation of integrated water resources management for the months of interest. The proposed framework can serve as a useful and reliable tool for a comprehensive assessment of the watershed management performance of a river system.","This study was supported by a grant of the Public Welfare Project from the Ministry of Water Resources of China (Grant No.: 201401003), and a grant of the Water Resources Science and Technology Promotion Project of Shandong Province from the Water Resouces Department of Shandong Province, China (Grant No.: SDSLKY201604). Thanks for the constructive comments from the editors and anonymous reviewers.",,The Science of The Total Environment,,,China; Environmental Monitoring; Humans; Rivers; Water Quality; Water Resources,2021-09-04,2021,2021-09-04,2022-01,804,,150075,Closed,Article,"Liu, Yang; Wang, Jun; Cao, Shengle; Han, Bo; Liu, Shiliang; Chen, Dan","Liu, Yang (School of Civil Engineering, Shandong University, Jinan 250061, China.); Wang, Jun (School of Civil Engineering, Shandong University, Jinan 250061, China. Electronic address: wangjunwater@sdu.edu.cn.); Cao, Shengle (School of Civil Engineering, Shandong University, Jinan 250061, China.); Han, Bo (School of Civil Engineering, Shandong University, Jinan 250061, China.); Liu, Shiliang (School of Civil Engineering, Shandong University, Jinan 250061, China.); Chen, Dan (Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment in Southern China (Ministry of Education), College of Agricultural Sciences and Engineering, Hohai University, Nanjing 210098, China.)","Wang, Jun (Shandong University)","Liu, Yang (Shandong University); Wang, Jun (Shandong University); Cao, Shengle (Shandong University); Han, Bo (Shandong University); Liu, Shiliang (Shandong University); Chen, Dan (Hohai University)",7,7,2.82,3.03,,https://app.dimensions.ai/details/publication/pub.1140873221,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4743,pub.1004993024,10.1007/s10661-015-4647-7,26148688,,A study on the role and importance of irrigation management in integrated river basin management,"The purpose of this paper is to identify the role and the importance of irrigation management in integrated river basin management during arid and semi-arid conditions. The study has been conducted at Büyük Menderes Basin which is located in southwest of Turkey and where different sectors (irrigation, drinking and using, industry, tourism, ecology) related to the use and distribution of water sources compete with each other and also where the water demands for important ecological considerations is evaluated and where the river pollution has reached important magnitudes. Since, approximately 73 % of the water resources of the basin are utilized for irrigation; as a result, irrigation management becomes important for basin management. Irrigation operations have an effect on basin soil resources, water users, and environmental and ecological conditions. Thus, the determination of the role and importance of irrigation management require an integrated and interdisciplinary approach. In the studies conducted in Turkey, usually the environmental reactions have been analyzed in the basin studies and so the other topics related to integrated river basin management have not been taken into account. Therefore, this study also is to address these existing gaps in the literature and practice.",,,Environmental Monitoring and Assessment,,,Agricultural Irrigation; Desert Climate; Environmental Monitoring; Rivers; Turkey; Water Resources; Water Supply,2015-07-07,2015,2015-07-07,2015-08,187,8,488,Closed,Article,"Koç, Cengiz","Koç, Cengiz (Faculty of Engineering, Civil Engineering Department, Bilecik Şeyh Edebali University, Bilecik, Turkey)","Koç, Cengiz (Bilecik University)","Koç, Cengiz (Bilecik University)",11,5,,1.24,,https://app.dimensions.ai/details/publication/pub.1004993024,37 Earth Sciences; 3707 Hydrology; 38 Economics; 41 Environmental Sciences,6 Clean Water and Sanitation
4742,pub.1146544267,10.1016/j.scitotenv.2022.154810,35341867,,Model-based water accounting for integrated assessment of water resources systems at the basin scale,"Agricultural activities in the concept of integrated water resources management play a vital role. Especially in dry and semi-dry regions, agricultural activities have the largest share of water consumption. By employing a model-based approach using modified Soil and Water Assessment Tool (SWAT agro-hydrological model), this study has prepared Water Accounting Plus (WA+) framework requirements to investigate different conditions of supply and demand in wet (1985-2000) and dry (2001-2015) periods in a semi-dry basin (Karkheh River Basin) in Iran. Our assessments based on WA+ show decreasing 10% (21.65 to 19.29 Billion Cubic Meters (BCM)/year) of precipitation in the dry period caused a 4% (0.13 BCM/year) decline in natural evapotranspiration. However, the basin experienced a 24% increment in evapotranspiration from agricultural activities at the same period, and runoff was approximately halved (2.45 BCM/year). Therefore, especially in downstream parts, surface water withdrawal has decreased by 18%. These new conditions have put pressure on groundwater resources. The aquifer extraction and total withdrawal for irrigation have grown by about 17% and 4%, respectively. Finally, it is evident that the manageable water has diminished due to climate change; not only the managed water consumption in the basin has not reduced, but it has also highly risen. The current study results help water authorities arrange new hydrological and climatic conditions strategies.","This work was supported by Khuzestan Water and Power Authority (KWPA). The authors would like to acknowledge the entire Karkheh Basin project team, including TMU collaborators, Payeshgar Tadbir Afzar Co. and KWPA researchers. Mohammad Reza Eini is funded by the National Science Centre (Narodowe Centrum Nauki), Warsaw, Poland (PRELUDIUM BIS-1 project, UMO-2019/35/O/ST10/04392). We would like to thank the editor and reviewers for their thoughtful comments and efforts towards improving our manuscript.",,The Science of The Total Environment,,,Agriculture; Hydrology; Rivers; Water; Water Resources,2022-03-24,2022,2022-03-24,2022-07,830,,154810,Closed,Article,"Delavar, Majid; Eini, Mohammad Reza; Kuchak, Vahid Shokri; Zaghiyan, Mohammad Reza; Shahbazi, Ali; Nourmohammadi, Farhad; Motamedi, Ali","Delavar, Majid (Department of Water Engineering and Management, Tarbiat Modares University, Tehran, Iran. Electronic address: m.delavar@modares.ac.ir.); Eini, Mohammad Reza (Department of Hydrology, Meteorology and Water Management, Institute of Environmental Engineering, Warsaw University of Life Sciences, Warsaw, Poland. Electronic address: mohammad_eini@sggw.edu.pl.); Kuchak, Vahid Shokri (Department of Water Engineering and Management, Tarbiat Modares University, Tehran, Iran. Electronic address: s.vahid@modares.ac.ir.); Zaghiyan, Mohammad Reza (Department of Water Engineering and Management, Tarbiat Modares University, Tehran, Iran. Electronic address: m.zaghiyan@modares.ac.ir.); Shahbazi, Ali (Khuzestan Water and Power Authority, Ahvaz, Iran. Electronic address: Shahbazi.a@kwpa.gov.ir.); Nourmohammadi, Farhad (Khuzestan Water and Power Authority, Ahvaz, Iran. Electronic address: Nourmohammadi.fa@kwpa.gov.ir.); Motamedi, Ali (Khuzestan Water and Power Authority, Ahvaz, Iran. Electronic address: motamedi.a@kwpa.gov.ir.)","Delavar, Majid (Tarbiat Modares University)","Delavar, Majid (Tarbiat Modares University); Eini, Mohammad Reza (Warsaw University of Life Sciences); Kuchak, Vahid Shokri (Tarbiat Modares University); Zaghiyan, Mohammad Reza (Tarbiat Modares University); Shahbazi, Ali (Khuzestan Water and Power Authority, Ahvaz, Iran. Electronic address: Shahbazi.a@kwpa.gov.ir.); Nourmohammadi, Farhad (Khuzestan Water and Power Authority, Ahvaz, Iran. Electronic address: Nourmohammadi.fa@kwpa.gov.ir.); Motamedi, Ali (Khuzestan Water and Power Authority, Ahvaz, Iran. Electronic address: motamedi.a@kwpa.gov.ir.)",26,26,1.31,13.88,,https://app.dimensions.ai/details/publication/pub.1146544267,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4739,pub.1164174614,10.1016/j.scitotenv.2023.167182,37730052,,Integrated water security and coupling of social-ecological system to improve river basin sustainability,"The river basin sustainability depends on both the coordinated development of socio-ecological systems and resilience to water resources. However, the lack of integrating them on spatial and temporal scales compromises our capacity to develop precise interventions towards sustainable river basins. We developed an approach by integrating water security and social-ecological coupling to assess the river basin sustainability. We divided it into four categories including highly sustainable (secure and coordinated), insecure, uncoordinated, and low sustainable (insecure and uncoordinated). The middle reach of Heihe River (MHR) was taken as the study area with the sub-basin as the spatial analysis unit from 2000 to 2020. The results showed that there was heterogeneity and agglomeration in spatial distribution. 23.8 %, 38.8 %, and 11% of the sub-basins mainly clustered in the north and central areas were found in the state of water insecure and SES uncoordinated, or both respectively. The unsustainable areas (five sub-basins) and lose-lose areas (two sub-basins) should be the priority areas for management interventions. Our approach can provide an important reference for assessing and improving the river basin sustainability.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments The first author acknowledges the China Scholarship Council for its support in her visiting study at the University of Queensland. This research was supported by the National Natural Science Foundation of China (NSFC, Grant No. 42230506 and No. 41871074).",,The Science of The Total Environment,,,,2023-09-19,2023,2023-09-19,2023-12,905,,167182,Closed,Article,"Han, Ziyan; Wei, Yongping; Meng, Jijun; Zou, Yi; Wu, Qiqi","Han, Ziyan (Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, PR China; School of Earth and Environmental Sciences, the University of Queensland, Australia.); Wei, Yongping (School of Earth and Environmental Sciences, the University of Queensland, Australia.); Meng, Jijun (Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, PR China. Electronic address: jijunm@pku.edu.cn.); Zou, Yi (Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, PR China.); Wu, Qiqi (Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, PR China.)","Meng, Jijun (Peking University)","Han, Ziyan (Peking University; University of Queensland); Wei, Yongping (University of Queensland); Meng, Jijun (Peking University); Zou, Yi (Peking University); Wu, Qiqi (Peking University)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1164174614,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,11 Sustainable Cities and Communities
4729,pub.1003152628,10.1007/s11356-014-3346-1,25077654,,"Statistical, time series, and fractal analysis of full stretch of river Yamuna (India) for water quality management","River water is a major resource of drinking water on earth. Management of river water is highly needed for surviving. Yamuna is the main river of India, and monthly variation of water quality of river Yamuna, using statistical methods have been compared at different sites for each water parameters. Regression, correlation coefficient, autoregressive integrated moving average (ARIMA), box-Jenkins, residual autocorrelation function (ACF), residual partial autocorrelation function (PACF), lag, fractal, Hurst exponent, and predictability index have been estimated to analyze trend and prediction of water quality. Predictive model is useful at 95 % confidence limits and all water parameters reveal platykurtic curve. Brownian motion (true random walk) behavior exists at different sites for BOD, AMM, and total Kjeldahl nitrogen (TKN). Quality of Yamuna River water at Hathnikund is good, declines at Nizamuddin, Mazawali, Agra D/S, and regains good quality again at Juhikha. For all sites, almost all parameters except potential of hydrogen (pH), water temperature (WT) crosses the prescribed limits of World Health Organization (WHO)/United States Environmental Protection Agency (EPA).","Authors are thankful to University Grant Commission (UGC) (F. 41-803/2012 (SR)), Government of India for financial support; Central Pollution Control Board (CPCB), Government of India for providing the research data; and Guru Gobind Singh Indraprastha University, New Delhi (India) for providing research facilities. First author is also thankful to Sant Baba Bhag Singh Institute of Engineering and Technology for providing study leave to pursue research degree.",,Environmental Science and Pollution Research,,,Ammonia; Biological Oxygen Demand Analysis; Conservation of Natural Resources; Fractals; Humans; Hydrogen-Ion Concentration; India; Oxygen; Regression Analysis; Rivers; Water Pollutants; Water Pollution; Water Quality,2014-08-01,2014,2014-08-01,2015-01,22,1,397-414,Closed,Article,"Parmar, Kulwinder Singh; Bhardwaj, Rashmi","Parmar, Kulwinder Singh (Non-Linear Dynamics Research Laboratory, Department of Mathematics, University School of Basic and Applied Sciences, Guru Gobind Singh Indraprastha University, 110078, Dwarka, Delhi, India); Bhardwaj, Rashmi (Non-Linear Dynamics Research Laboratory, Department of Mathematics, University School of Basic and Applied Sciences, Guru Gobind Singh Indraprastha University, 110078, Dwarka, Delhi, India)","Bhardwaj, Rashmi (Guru Gobind Singh Indraprastha University)","Parmar, Kulwinder Singh (Guru Gobind Singh Indraprastha University); Bhardwaj, Rashmi (Guru Gobind Singh Indraprastha University)",54,13,0.59,18.88,,https://app.dimensions.ai/details/publication/pub.1003152628,38 Economics; 49 Mathematical Sciences; 4905 Statistics,
4723,pub.1146340740,10.1016/j.scitotenv.2022.154606,35307424,,Modeling the effects of water diversion projects on surface water and groundwater interactions in the central Yangtze River basin,"Due to the lack of the quantification of surface water (SW) and groundwater (GW) interaction, the chemicals transport and fate and wetland evolution are hard to predict under impact of both the natural condition and water diversion projects. To address this issue, a 3D regional numerical model is proposed in this study to analyze the effects of the South-to-North Water Diversion (SNWD) and Yangtze-Hanjiang Water Diversion (YHWD) projects on groundwater flow regimes and SW-GW interactions of Jianghan Plain in the central Yangtze River basin. The model results show that the Yangtze River and groundwater interactive pattern varied little, whereas the exchange capacity has been significantly affected by the SNWD but little affected by the YHWD. If only implemented SNWD project, the Hanjiang River and groundwater interactive pattern varied and the net exchange rate between the Hanjiang River and groundwater decreased by 69.3% compared to natural condition. Since YHWD was introduced to complement SNWD, the net exchange rate has been reduced by 25.3% compared with that under the only SNWD. SNWD and YHWD projects implementation caused the decrease of the groundwater level along the Yangtze River with the maximum value of 0.19 m but the increase of groundwater level along the Hanjiang River with the maximum rise reaching up to 0.78 m. This study provides the insights for quantification of GW-SW interaction at regional scale, which will benefiting for integrated water resource management and understanding contaminant reactive transport and wetland evolution in the central Yangtze River basin.","This work was funded by National Natural Science Foundation of China (41722208, 41902263 and 41807194), Natural Sciences Foundation of Hubei Province of China (2019CFA013), and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (CUG190634).",,The Science of The Total Environment,,,"China; Groundwater; Rivers; Water; Water Pollutants, Chemical",2022-03-17,2022,2022-03-17,2022-07,830,,154606,Closed,Article,"Jiang, Xue; Ma, Rui; Ma, Teng; Sun, Ziyong","Jiang, Xue (Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.); Ma, Rui (Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China. Electronic address: rma@cug.edu.cn.); Ma, Teng (Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.); Sun, Ziyong (Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.)","Ma, Rui (China University of Geosciences)","Jiang, Xue (China University of Geosciences); Ma, Rui (China University of Geosciences); Ma, Teng (China University of Geosciences); Sun, Ziyong (China University of Geosciences)",14,14,2.09,7.48,,https://app.dimensions.ai/details/publication/pub.1146340740,37 Earth Sciences; 3707 Hydrology,
4720,pub.1152160008,10.1016/j.scitotenv.2022.159714,36302434,,What will the water quality of the Yangtze River be in the future?,"The long-term prediction of water quality is important for water pollution control planning and water resource management, but it has received little attention. In this study, the water quality trend in the Yangtze River is found to stabilize at most monitoring stations under environmental protection activities. Based on the physical mechanism and stochastic theory, a novel river water quality prediction model combining pollution source decomposition (including local point, local nonpoint and upstream sources) and time series decomposition (including trend, seasonal and residential components) is developed. The observed water quality data from 76 monitoring stations in the Yangtze River, including permanganate index (CODMn) and total phosphorus (TP), are used to drive this model to make long-term water quality predictions. The results show that this model has an acceptable accuracy. In the future, the concentration of CODMn will meet the water quality targets at most stations in the Yangtze River, but the concentration of TP will not be able to meet the water quality target at 28.5 % of the stations. Furthermore, the prediction value of CODMn is 62.2 % lower than the target on average. However, the prediction value of TP is only 24.4 % lower than the target on average, and it will exceed the water target by >50 % at some stations. This model has the potential to be widely used for long-term water quality prediction in the future.",This study is supported by the National Key Research and Development Program of China (No. 2017YFA0603704) and Major Program of National Natural Science Foundation of China (No. 41790431).,,The Science of The Total Environment,,,"Rivers; Water Quality; Environmental Monitoring; Nitrogen; Water Pollution; Phosphorus; China; Water Pollutants, Chemical",2022-10-24,2022,2022-10-24,2023-01,857,Pt 3,159714,Closed,Article,"Dong, Wenxun; Zhang, Yanjun; Zhang, Liping; Ma, Wei; Luo, Lan","Dong, Wenxun (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China.); Zhang, Yanjun (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China. Electronic address: zhangyj1015@whu.edu.cn.); Zhang, Liping (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China.); Ma, Wei (Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Luo, Lan (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China.)","Zhang, Yanjun (Wuhan University)","Dong, Wenxun (Wuhan University); Zhang, Yanjun (Wuhan University); Zhang, Liping (Wuhan University); Ma, Wei (China Institute of Water Resources and Hydropower Research); Luo, Lan (Wuhan University)",8,8,,3.77,,https://app.dimensions.ai/details/publication/pub.1152160008,37 Earth Sciences; 40 Engineering; 41 Environmental Sciences; 4104 Environmental Management,
4716,pub.1149390893,10.3390/ijerph19148389,35886241,PMC9325059,New Framework for Dynamic Water Environmental Capacity Estimation Integrating the Hydro-Environmental Model and Load–Duration Curve Method—A Case Study in Data-Scarce Luanhe River Basin,"A better understanding of river capacity for contaminants (i.e., water environmental capacity, WEC) is essential for the reasonable utilization of water resources, providing government's with guidance about sewage discharge management, and allocating investments for pollutant reduction. This paper applied a new framework integrating a modified hydro-environmental model, Soil and Water Assessment Tool (SWAT) model, and load-duration curve (LDC) method for the dynamic estimation of the NH3-N WEC of the data-scarce Luanhe River basin in China. The impact mechanisms of hydrological and temperature conditions on WEC are discussed. We found that 77% of the WEC was concentrated in 40% hydrological guarantee flow rates. While the increasing flow velocity promoted the pollutant decay rate, it shortened its traveling time in streams, eventually reducing the river WEC. The results suggest that the integrated framework combined the merits of the traditional LDC method and the mechanism model. Thus, the integrated framework dynamically presents the WEC's spatiotemporal distribution under different hydrological regimes with fewer data. It can also be applied in multi-segment rivers to help managers identify hot spots for fragile water environmental regions and periods at the basin scale.",,This research was funded by Global Environmental Fund and Chinese Academy for Environmental Planning in the frame of “dynamic characteristics of water environmental capacity in Haihe River Basin”.,International Journal of Environmental Research and Public Health,,Yang Liu,"China; Environmental Monitoring; Environmental Pollutants; Rivers; Water; Water Pollutants, Chemical",2022-07-09,2022,2022-07-09,,19,14,8389,All OA; Gold,Article,"Jin, Huiyu; Chen, Wanqi; Zhao, Zhenghong; Wang, Jiajia; Ma, Weichun","Jin, Huiyu (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Chen, Wanqi (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Zhao, Zhenghong (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Wang, Jiajia (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Ma, Weichun (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.); Institute of Eco-Chongming (IEC), No. 3663 Northern Zhongshan Road, Shanghai 200062, China; Shanghai Key Laboratory of Policy Simulation and Assessment for Ecology and Environment Governance, Shanghai 201804, China; Institute of Digitalized Sustainable Transformation, Fudan University, Shanghai 200433, China; Institute for Big Data (IBD), Fudan University, Shanghai 200433, China)","Ma, Weichun (Fudan University; Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.); East China Normal University; Shanghai Key Laboratory of Policy Simulation and Assessment for Ecology and Environment Governance, Shanghai 201804, China; Fudan University; Fudan University)","Jin, Huiyu (Fudan University; Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Chen, Wanqi (Fudan University; Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Zhao, Zhenghong (Fudan University; Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Wang, Jiajia (Fudan University; Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.)); Ma, Weichun (Fudan University; Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;, 20110740007@fudan.edu.cn, (H.J.);, wqchen9887@163.com, (W.C.);, 20210740091@fudan.edu.cn, (Z.Z.);, 19210740014@fudan.edu.cn, (J.W.); East China Normal University; Shanghai Key Laboratory of Policy Simulation and Assessment for Ecology and Environment Governance, Shanghai 201804, China; Fudan University; Fudan University)",3,3,,1.6,https://www.mdpi.com/1660-4601/19/14/8389/pdf?version=1657528152,https://app.dimensions.ai/details/publication/pub.1149390893,37 Earth Sciences; 3707 Hydrology,
4715,pub.1147510676,10.1371/journal.pone.0267113,35486607,PMC9053787,Identifying monitoring information needs that support the management of fish in large rivers,"Management actions intended to benefit fish in large rivers can directly or indirectly affect multiple ecosystem components. Without consideration of the effects of management on non-target ecosystem components, unintended consequences may limit management efficacy. Monitoring can help clarify the effects of management actions, including on non-target ecosystem components, but only if data are collected to characterize key ecosystem processes that could affect the outcome. Scientists from across the U.S. convened to develop a conceptual model that would help identify monitoring information needed to better understand how natural and anthropogenic factors affect large river fishes. We applied the conceptual model to case studies in four large U.S. rivers. The application of the conceptual model indicates the model is flexible and relevant to large rivers in different geographic settings and with different management challenges. By visualizing how natural and anthropogenic drivers directly or indirectly affect cascading ecosystem tiers, our model identified critical information gaps and uncertainties that, if resolved, could inform how to best meet management objectives. Despite large differences in the physical and ecological contexts of the river systems, the case studies also demonstrated substantial commonalities in the data needed to better understand how stressors affect fish in these systems. For example, in most systems information on river discharge and water temperature were needed and available. Conversely, information regarding trophic relationships and the habitat requirements of larval fishes were generally lacking. This result suggests that there is a need to better understand a set of common factors across large-river systems. We provide a stepwise procedure to facilitate the application of our conceptual model to other river systems and management goals.","We thank Megan Dethloff of the Pacific Northwest Aquatic Monitoring Partnership for her role in organizing the logistics associated with the workshop and conference calls needed to develop this manuscript. David Ward from the U.S. Geological Survey’s Grand Canyon Monitoring and Research Center provided many valuable comments and suggestions that improved the manuscript. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. An animal care and use protocol was not required for this research.","This work was funded in part by U.S. Geological Survey’s Core Science Systems Mission Area. This research also was conducted using in-kind contributions of the Ball State University, Illinois Natural History Survey, Oregon Department of Fish and Wildlife, Pacific Northwest Aquatic Monitoring Partnership, the Oklahoma and Alabama Cooperative Fish and Wildlife Research Units, and the U.S. Geological Survey Columbia Environmental Research Center, Grand Canyon Monitoring and Research Center, Oregon Water Science Center, Upper Midwest Environmental Sciences Center, and Western Fisheries Research Center.",PLOS ONE,,Stefano Larsen,"Animals; Conservation of Natural Resources; Ecosystem; Fishes; Models, Theoretical; Rivers",2022-04-29,2022,2022-04-29,,17,4,e0267113,All OA; Gold,Article,"Counihan, Timothy D.; Bouska, Kristen L.; Brewer, Shannon K.; Jacobson, Robert B.; Casper, Andrew F.; Chapman, Colin G.; Waite, Ian R.; Sheehan, Kenneth R.; Pyron, Mark; Irwin, Elise R.; Riva-Murray, Karen; McKerrow, Alexa J.; Bayer, Jennifer M.","Counihan, Timothy D. (U.S. Geological Survey, Western Fisheries Research Center, Columbia River Research Laboratory, Cook, Washington, United States of America); Bouska, Kristen L. (U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, Wisconsin, United States of America); Brewer, Shannon K. (U.S. Geological Survey, Alabama Cooperative Fish and Wildlife Research Unit, Auburn, Alabama, United States of America); Jacobson, Robert B. (U.S. Geological Survey, Columbia Environmental Research Center, Columbia, Missouri, United States of America); Casper, Andrew F. (Illinois Natural History Survey, Illinois River Biological Station, Havana, Illinois, United States of America); Chapman, Colin G. (Oregon Department of Fish and Wildlife, Ocean Salmon and Columbia River Program, Clackamas, Oregon, United States of America); Waite, Ian R. (U.S. Geological Survey, Oregon Water Science Center, Portland, Oregon, United States of America); Sheehan, Kenneth R. (U.S. Geological Survey, Grand Canyon Monitoring and Research Center, Flagstaff, Arizona, United States of America); Pyron, Mark (Ball State University, Muncie, Indiana, United States of America); Irwin, Elise R. (U.S. Geological Survey, Alabama Cooperative Fish and Wildlife Research Unit, Auburn, Alabama, United States of America); Riva-Murray, Karen (U.S. Geological Survey, Northeast Region, Troy, New York, United States of America); McKerrow, Alexa J. (U.S. Geological Survey, Science Analytics and Synthesis, Core Science Systems, Raleigh, North Carolina, United States of America); Bayer, Jennifer M. (U.S. Geological Survey, Northwest-Pacific Islands Region, Cook, Washington, United States of America)","Counihan, Timothy D. (United States Geological Survey)","Counihan, Timothy D. (United States Geological Survey); Bouska, Kristen L. (United States Geological Survey); Brewer, Shannon K. (United States Geological Survey); Jacobson, Robert B. (United States Geological Survey); Casper, Andrew F. (Illinois Natural History Survey, Illinois River Biological Station, Havana, Illinois, United States of America); Chapman, Colin G. (Oregon Department of Fish and Wildlife); Waite, Ian R. (United States Geological Survey); Sheehan, Kenneth R. (United States Geological Survey); Pyron, Mark (Ball State University); Irwin, Elise R. (United States Geological Survey); Riva-Murray, Karen (United States Geological Survey); McKerrow, Alexa J. (United States Geological Survey); Bayer, Jennifer M. (United States Geological Survey)",0,0,,0.0,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267113&type=printable,https://app.dimensions.ai/details/publication/pub.1147510676,41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,
4712,pub.1158195178,10.1007/s10661-023-11263-0,37208525,,Surface water quality for irrigation and industrial purposes: a comparison between the south and north sides of the Wei River Plain (northwest China),"Surface water is extensively used for irrigation and industrial purposes in the Wei River Plain. However, the surface water shows different characteristics in the southern and northern zones of the Wei River Plain. This study aims to investigate the differences in surface water quality between the southern and northern zones of the Wei River Plain and their influencing factors. To ascertain the hydrochemistry and its governing factors, graphical methods, ion plots, and multivariate statistical analyses were employed. The quality of the irrigation water was assessed using various irrigation water quality indices. In addition, water foaming, corrosion, scaling, and incrustation risks were determined to evaluate water quality for industrial uses. The spatial distribution of water quality was done using GIS models. This research revealed that the concentrations of EC, TH, TDS, HCO3−, Na+, Mg2+, SO42− and Cl− on the north side of the plain were twice as high as those on the south side. On both sides of the Wei River Plain, water‒rock interactions, ion exchange, and considerable evaporation were observed. Gypsum, halite, calcite, and dolomite all dissolve to produce significant anions and cations in the water, according to ion correlation analysis. However, additional sources of contaminants led to higher concentrations in the surface water on the north side than on the south side. Surface water in the south of the Wei River Plain has superior quality to that in the north, according to the overall findings of irrigation water and industrial water quality assessments. The findings of this study will boost better water resource management policies for the plain.","The useful and constructive comments from the editors and reviewers are sincerely acknowledged. The students who helped in field investigation and sampling are acknowledged as well, and they were Xiaodong He, Song He, Xiaofei Ren, Dan Wang, Lingxi Li, Dawei Mu, Fei Xu, Jing Ning, Wenyu Guo, Wenqu Li, Qixiao Zhang, Yuanhang Wang, Yanan Guo, and Fengmei Su.","This research is funded by the National Natural Science Foundation of China (42072286 and 41761144059), the Fok Ying Tong Education Foundation (161098), the National Ten Thousand Talent Program (W03070125), and the Qinchuangyuan “Scientist + Engineer” Team Development Program of the Shaanxi Provincial Department of Science and Technology (2022KXJ-005).",Environmental Monitoring and Assessment,,,"Water Quality; Environmental Monitoring; Rivers; Water Pollutants, Chemical; Groundwater; China",2023-05-19,2023,2023-05-19,2023-06,195,6,696,Closed,Article,"Nsabimana, Abel; Li, Peiyue; Alam, S. M. Khorshed; Fida, Misbah","Nsabimana, Abel (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China); Li, Peiyue (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China); Alam, S. M. Khorshed (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China); Fida, Misbah (School of Water and Environment, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China; Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions of the Ministry of Water Resources, Chang’an University, No. 126 Yanta Road, 710054, Xi’an, Shaanxi, China)","Li, Peiyue (Chang'an University; Chang'an University; Chang'an University)","Nsabimana, Abel (Chang'an University; Chang'an University; Chang'an University); Li, Peiyue (Chang'an University; Chang'an University; Chang'an University); Alam, S. M. Khorshed (Chang'an University; Chang'an University; Chang'an University); Fida, Misbah (Chang'an University; Chang'an University; Chang'an University)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1158195178,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4710,pub.1146623731,10.1007/s00244-022-00921-y,35347352,,Chemical and Carbon Isotopic Characterization of a Karst-Dominated Urbanized Watershed: Case of the Upper San Antonio River,"Urbanization and agriculture are two key factors that place demands on water resources and serve as sources of anthropogenic pollution into inland waterways. The San Antonio River, which is sourced from a karst aquifer, plays an important recreational and scenic role, yet effective management is often hampered by the lack of understanding of the chemical characterization of the water system. The karst-dominated Edwards Aquifer watershed in south-central Texas is an ideal watershed to understand water–rock interaction (carbonate dissolution) and anthropogenic impact on our water resources. In order to understand groundwater–surface water interactions, we made chemical and isotopic measurements over a 17-km stretch of the San Antonio River beginning at the headwater sanctuary and moving downstream. The chemistry of the headwaters and at along the longitudinal profile of the river showed that the Edwards Aquifer is dominated by Ca2+, Mg2+ and HCO3− ions resulting from carbonate dissolution. The carbon isotopic signature of dissolved inorganic carbon (δ13CDIC) showed that the Edwards Aquifer is in chemical and isotopic equilibrium with soil CO2(g). The relationships between δ13CDIC and solutes (Cl−, Na+, F−, NO3−) showed that anthropogenic sources of these solutes are associated with low δ13CDIC values, indicating that carbon isotopic composition of dissolved inorganic carbon can be a useful tracer for contaminants in the environment. The anthropogenic inputs into the San Antonio River were sourced mainly from effluents of the San Antonio Zoo, waste discharge from the River Walk in downtown San Antonio and from fertilizers and animal waste in the less urbanized section of the sampled area (Mission Concepcion to Mission Espada). To protect and sustain the water quality of urban waterways and karst aquifers, urban sewage and effluents must be treated and controlled.","This research was supported financially by the Research Council Grants (2018–2019 and 2019–2020) and the College of Arts and Sciences’ 2019 Summer Grants, Texas A&amp;M University-San Antonio. We thank Samantha Gonzales and Karla Tapia for assisting in the sample collection and analyses. We also thank Dr. Shray Saxena for running the anion samples. Critical reviews by the Associate Editor greatly improved this manuscript.","This research was supported financially by the Research Council Grants (2018–2019 and 2019–2020) and the College of Arts and Sciences’ 2019 Summer Grants, Texas A&M University-San Antonio.",Archives of Environmental Contamination and Toxicology,,,Carbon; Carbon Isotopes; Environmental Monitoring; Rivers; Water Quality,2022-03-26,2022,2022-03-26,2022-04,82,3,439-454,All OA; Green,Article,"Abongwa, Pride T.; Den, Walter; Teague, Aarin","Abongwa, Pride T. (Institute for Water Resources Science and Technology, Texas A&M University-San Antonio, One University Way, 78224, San Antonio, TX, USA; Department of Mathematical, Physical and Engineering Sciences, Texas A&M University-San Antonio, One University Way, 78224, San Antonio, TX, USA); Den, Walter (Institute for Water Resources Science and Technology, Texas A&M University-San Antonio, One University Way, 78224, San Antonio, TX, USA; Department of Mathematical, Physical and Engineering Sciences, Texas A&M University-San Antonio, One University Way, 78224, San Antonio, TX, USA); Teague, Aarin (San Antonio River Authority, 78283, San Antonio, TX, USA)","Abongwa, Pride T. (Texas A&M University – San Antonio; Texas A&M University – San Antonio)","Abongwa, Pride T. (Texas A&M University – San Antonio; Texas A&M University – San Antonio); Den, Walter (Texas A&M University – San Antonio; Texas A&M University – San Antonio); Teague, Aarin (San Antonio River Authority, 78283, San Antonio, TX, USA)",5,5,0.88,3.06,https://digitalcommons.tamusa.edu/cgi/viewcontent.cgi?article=1013&context=water_faculty,https://app.dimensions.ai/details/publication/pub.1146623731,37 Earth Sciences; 3705 Geology; 3707 Hydrology,
4708,pub.1111662998,10.1007/s10661-019-7246-1,30684058,,Assessment of spatiotemporal variations in river water quality for sustainable environmental and recreational management in the highly urbanized Danshui River basin,"Rivers are an important urban resource, and water quality influences the use of river water. Thus, analyzing spatiotemporal variations in river water quality is crucial for sustainable use and management of water resources in a highly urbanized region. This study employed river pollution index (RPI) data obtained in 2013 to assess spatiotemporal variations in river water quality for sustainable environmental and recreational management in the highly urbanized Danshui River basin. First, ordinary kriging was adopted to analyze monthly RPI distributions. Subsequently, different percentiles of monthly estimated RPI distributions were probabilistically determined at a river segment. Finally, three measurement methods of local uncertainty, namely—conditional variance, local entropy, and interquartile range—were used to characterize spatiotemporal variations in river water quality in the Danshui River basin. Assessment results revealed that more highly polluted river water quality resulted in higher seasonal variations. Moreover, high and very high seasonal variations were mainly concentrated in urban river segments, whereas low and very low seasonal variations were primarily located in upstream river segments. Thus, to achieve sustainable development goals, artificial wetlands should be established at downstream and midstream urban riverbanks and urban recreational activities should be developed in upstream riverbank parks in the Danshui River basin before the comprehensive improvement of river water quality.","The authors would like to thank the Taiwan Environmental Protection Administration generously supporting the RPI data in the Danshui River basin, and the Taiwan Ministry of Science and Technology for financially supporting this research under Contract No. MOST 104-2410-H-424-014.",,Environmental Monitoring and Assessment,,,Environmental Monitoring; Rivers; Seasons; Spatial Analysis; Taiwan; Urbanization; Water Pollutants; Water Pollution; Water Quality,2019-01-25,2019,2019-01-25,2019-02,191,2,100,Closed,Article,"Chen, Shih-Kai; Jang, Cheng-Shin; Chou, Chia-Yu","Chen, Shih-Kai (Department of Civil Engineering, National Taipei University of Technology, 106, Taipei City, Taiwan); Jang, Cheng-Shin (Department of Leisure and Recreation Management, Kainan University, 338, Taoyuan City, Taiwan); Chou, Chia-Yu (Department of Civil Engineering, National Taipei University of Technology, 106, Taipei City, Taiwan)","Jang, Cheng-Shin (Kainan University)","Chen, Shih-Kai (National Taipei University of Technology); Jang, Cheng-Shin (Kainan University); Chou, Chia-Yu (National Taipei University of Technology)",12,7,0.55,1.99,,https://app.dimensions.ai/details/publication/pub.1111662998,37 Earth Sciences; 38 Economics; 41 Environmental Sciences; 4104 Environmental Management,11 Sustainable Cities and Communities
4706,pub.1156534305,10.1016/j.scitotenv.2023.163029,36990232,,Risk evaluation and prioritization of contaminants of emerging concern and other organic micropollutants in two river basins of central Argentina,"A research gap exists in baseline concentrations of organic micropollutants in South American rivers. Identification of areas with different degrees of contamination and risk to the inhabitant biota is needed to improve management of freshwater resources. Here we inform the incidence and ecological risk assessment (ERA) of current used pesticides (CUPs), pharmaceutical and personal care products (PPCPs) and cyanotoxins (CTX) measured in two river basins from central Argentina (South America). Risk Quotients approach was used for ERA differentiating wet and dry seasons. High risk was associated to CUPs in both basins (45 % and 30 % of sites from Suquía and Ctalamochita rivers, respectively), mostly in the basins extremes. Main contributors to risk in water were insecticides and herbicides in Suquía river and insecticides and fungicides in Ctalamochita river. In Suquía river sediments, a very high risk was observed in the lower basin, mainly from AMPA contribution. Additionally, 36 % of the sites showed very high risk of PCPPs in Suquía river water, with the highest risk downstream the wastewater treatment plant of Córdoba city. Main contribution was from a psychiatric drug and analgesics. In sediments medium risk was observed at the same places with antibiotics and psychiatrics as main contributors. Few data of PPCPs are available in the Ctalamochita river. The risk in water was low, with one site (downstream Santa Rosa de Calamuchita town) presenting moderated risk caused by an antibiotic. CTX represented in general medium risk in San Roque reservoir, with San Antonio river mouth and the dam exit showing high risk during the wet season. The main contributor was microcystin-LR. Priority chemicals for monitoring or further management include two CUPs, two PPCPs, and one CTX, demonstrating a significant input of pollutants to water ecosystems from different sources and the need to include organic micropollutants in current and future monitoring.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements Authors acknowledge grants from the Agencia Nacional de Promoción Científica y Técnica (FONCyT, PICT-2018-02505, PICT-2018- N°4089, PICT-2019 N°2892, PICT-2020 N°3010, PICT 2020 N°0880) and the International Atomic Energy Agency (CRP D52044, RC:25063).",,The Science of The Total Environment,,,"Water Pollutants, Chemical; Environmental Monitoring; Argentina; Insecticides; Ecosystem; Pesticides; Pharmaceutical Preparations",2023-03-27,2023,2023-03-27,2023-06,878,,163029,Closed,Article,"Bertrand, Lidwina; Iturburu, Fernando Gastón; Valdés, María Eugenia; Menone, Mirta Luján; Amé, María Valeria","Bertrand, Lidwina (Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI-CONICET) and Dpto. Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Medina Allende esq. Haya de la Torre, Ciudad Universitaria, 5000 Córdoba, Argentina.); Iturburu, Fernando Gastón (Laboratorio de Ecotoxicología, Instituto de Investigaciones Marinas y Costeras (IIMYC-CONICET), Universidad Nacional de Mar del Plata (UNMdP), Dean Funes 3350, 7600 Mar del Plata, Argentina.); Valdés, María Eugenia (Instituto de Ciencia y Tecnología de Alimentos Córdoba (ICYTAC-CONICET) and Dpto. de Química Orgánica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Av. Juan Filloy s/n, Ciudad Universitaria, 5000 Córdoba, Argentina.); Menone, Mirta Luján (Laboratorio de Ecotoxicología, Instituto de Investigaciones Marinas y Costeras (IIMYC-CONICET), Universidad Nacional de Mar del Plata (UNMdP), Dean Funes 3350, 7600 Mar del Plata, Argentina.); Amé, María Valeria (Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI-CONICET) and Dpto. Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Medina Allende esq. Haya de la Torre, Ciudad Universitaria, 5000 Córdoba, Argentina. Electronic address: valeria.ame@unc.edu.ar.)","Amé, María Valeria (National University of Córdoba)","Bertrand, Lidwina (National University of Córdoba); Iturburu, Fernando Gastón (Institute of Marine and Coastal Research); Valdés, María Eugenia (National University of Córdoba); Menone, Mirta Luján (Institute of Marine and Coastal Research); Amé, María Valeria (National University of Córdoba)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1156534305,41 Environmental Sciences; 4105 Pollution and Contamination,6 Clean Water and Sanitation
4687,pub.1154170674,10.1016/j.scitotenv.2022.161327,36603644,,Evaluating the impact of power station regulation on the suitability of drifting spawning fish habitat based on the fuzzy evaluation method,"Ecological regulation is an important means of reservoir adaptive management, but its effective evaluation faces two major difficulties: the response mechanism of fish spawning behavior is not completely clear, and how to establish a feedback regulation relationship of hydrological processes to improve the river environment is unknown. Based on a long-term series of early fish resources, hydrology, water temperature, and meteorology data, this research clarifies the fish spawning habitat requirements in the power station regulation environment, determines a habitat suitability evaluation index system and evaluation criteria, reveals the temporal and spatial variation characteristics of fish habitat suitability under power station regulation based on the fuzzy logic method, provides feedback to the existing regulation scheme, and proposes suggestions for sustainable adaptive management of the reservoir. The temporal and spatial variation characteristics of the spawning river sections habitat suitability are the comprehensive differences among multiple objectives and factors. The habitat suitability of each river section decreases after impoundment, especially in May, which is related to the delayed of water temperature changes under reservoir regulation. The reduced suitability of the Yibin(YB) river section is most affected by the impoundment regulation of the Xiluodu Reservoir (XLDR) and Xiangjiaba Reservoir (XJBR), while the Luzhou(LZ) river section is affected by the inflow of the Minjiang River (MJ) tributary, which reduces the suitability difference before and after impoundment. The Jiangjin(JJ) river section is less affected by the regulation of the XJBR and is greatly affected by tributaries and rainfall. How to adjust the regulation strategies under the new boundaries and new situations in the future, which are affected by the cumulative impact of the sustainable development of upstream cascades, is the focus of reservoir adaptive management. This research can provide technical support for the management of cascade reservoirs under future scenarios.",This work was supported by the National Natural Science Foundation of China (Grants Nos. 52122904).,,The Science of The Total Environment,,,Animals; Ecosystem; Fishes; Rivers; Fuzzy Logic; Water,2023-01-02,2023,2023-01-02,2023-03,866,,161327,Closed,Article,"Wang, Xingmin; Deng, Yun; An, Ruidong; Yan, Zhongluan; Yang, Yanjing; Tuo, Youcai","Wang, Xingmin (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China.); Deng, Yun (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China.); An, Ruidong (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China.); Yan, Zhongluan (China Three Gorges Construction Engineering Corporation, Chengdu 610041, China.); Yang, Yanjing (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China.); Tuo, Youcai (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China. Electronic address: tuoyoucai@scu.edu.cn.)","Tuo, Youcai (Sichuan University)","Wang, Xingmin (Sichuan University); Deng, Yun (Sichuan University); An, Ruidong (Sichuan University); Yan, Zhongluan (China Three Gorges Corporation (China)); Yang, Yanjing (Sichuan University); Tuo, Youcai (Sichuan University)",5,5,,,,https://app.dimensions.ai/details/publication/pub.1154170674,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences; 37 Earth Sciences",
4682,pub.1147906669,10.1007/s11356-022-20515-4,35578073,,Study on carbon dioxide emission from reservoirs with different regulation types and its empirical prediction model,"Abstract
The construction of artificial reservoirs with various regulation types on river is currently an important form of comprehensive utilization of water energy and water resources in river basins. The type of regulation is important in controlling the residence time, which in turn affects the photosynthesis-respiration balance in the water. This process has a significant impact on carbon dioxide (CO2) emissions from reservoirs. In this study, seasonal observations were carried out from September 2020 to July 2021 at five artificial reservoirs in the Qiantang River Basin, eastern China, to reveal the characteristics of CO2 emission from the water–air interface of reservoirs with different regulating types. The results showed that the annual average CO2 emission flux of the studied reservoirs varied significantly, ranging from 4.2 to 155.3 mmol m−2 day−1 with an average of 48.4 mmol m−2 day−1, which also had a significant negative correlation with the hydraulic retention time. While downstream of the dam, the annual average CO2 emission flux was quite high with a range of 105.8 to 543.0 mmol m−2 day−1, averaging 381.6 mmol m−2 day−1. This is mainly due to the release of water with high-concentration CO2 from the bottom of the reservoir. Additionally, using related data of reservoirs around the world, a CO2 emission model with hydraulic retention time, air temperature, and reservoir age as the primary parameters was developed, which was conducive to evaluate reservoir CO2 emissions on a larger scale and provided theoretical support for effective reservoir management.",,This work was supported by the Shanghai Science and Technology Development Foundation (19010500100) and the National Key Research and Development Program of China (No. 2016YFA0601003).,Environmental Science and Pollution Research,,,Carbon Dioxide; China; Photosynthesis; Rivers; Water; Water Resources,2022-05-16,2022,2022-05-16,2022-10,29,46,69705-69716,Closed,Article,"Liu, Liu; Yang, Meilin; Luo, Jiajie; Hu, Zhehui; Li, Xiaoying; Miao, Haocheng; Chu, Yongsheng; Xu, Peifan; Chen, Xueping; Wang, Fushun","Liu, Liu (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Yang, Meilin (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Luo, Jiajie (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Hu, Zhehui (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Li, Xiaoying (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Miao, Haocheng (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Chu, Yongsheng (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Xu, Peifan (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Chen, Xueping (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China); Wang, Fushun (School of Environmental and Chemical Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, China)","Wang, Fushun (Shanghai University)","Liu, Liu (Shanghai University); Yang, Meilin (Shanghai University); Luo, Jiajie (Shanghai University); Hu, Zhehui (Shanghai University); Li, Xiaoying (Shanghai University); Miao, Haocheng (Shanghai University); Chu, Yongsheng (Shanghai University); Xu, Peifan (Shanghai University); Chen, Xueping (Shanghai University); Wang, Fushun (Shanghai University)",2,2,0.2,0.86,,https://app.dimensions.ai/details/publication/pub.1147906669,37 Earth Sciences; 3701 Atmospheric Sciences,13 Climate Action
4678,pub.1153164491,10.1007/s11356-022-24333-6,36441310,,"Comprehensive evaluation of water ecological environment in watersheds: a case study of the Yangtze River Economic Belt, China","The Yangtze River Economic Belt, an inland economic zone with global influence, has shown a trend of prosperous economic development in recent years. Economic development, water pollution, resource depletion, and other environmental problems continue to emerge. The steady state of the water ecological environment is an important aspect of ecological security. To investigate the regional water ecological security state, this study constructs a comprehensive evaluation indicator system within the framework of “driving force-carrying source-state-management” (DCSM). The entropy weight method was used to determine the weight of each indicator, and the weighted rank sum ratio model was introduced to classify the water ecological environment of the Yangtze River Economic Belt from 2010 to 2019. Finally, an adversarial interpretative structure model is used to refine the ranking of each region. The results show that the bearing state and driving force subsystems are closely related to the water ecological environment. The top three indicators are wastewater discharge of industrial added value of 10,000 yuan, water consumption per 10,000 yuan of industrial gross product, and water consumption per 10,000 yuan of tertiary gross domestic product. In addition, there are clear differences in the water ecological environment of the Yangtze River Economic Belt. The classification results show that Zhejiang and Jiangsu are rated as “excellent’’; Yunnan, Guizhou, Anhui, and Jiangxi are in the “good” level; and Sichuan, Hunan, Chongqing, and Hubei are in the “medium” level. Shanghai is “poor.” As a whole, the downstream is superior, the upstream is second, and the midstream is poor in an asymmetric “U”-shaped distribution. During the study period, the overall state of water ecology in the Yangtze River Economic Belt was at a medium level and has not yet reached a safe and steady state. The performance of areas with traditional industrialization as the main development path was poor. Therefore, it is necessary to pay attention to the overall water ecological security in the basin in the future, strengthen the regulatory role of the government’s water ecological management, promote reform of traditional industries and resource-based regions, and achieve the sustainable development of the water ecological environment.",,The paper is supported by the National Natural Science Foundation of China Project of “Deep Coal Mine Multi-hazard Safety Evaluation Method and Application Research” (71971003) and National Social Science Foundation of China Project of “Research on the Comprehensive Establishment of Efficient Resource Utilization System” (20ZDA084).,Environmental Science and Pollution Research,,,China; Economic Development; Industrial Development; Sustainable Development; Industry; Cities,2022-11-28,2022,2022-11-28,2023-03,30,11,30727-30740,All OA; Green,Article,"Xu, Yue; Yang, Li; Zhang, Chi; Zhu, Jun-qi","Xu, Yue (School of Economy and Management, Anhui University of Science and Technology, Huainan, China); Yang, Li (School of Economy and Management, Anhui University of Science and Technology, Huainan, China); Zhang, Chi (School of Economy and Management, Anhui University of Science and Technology, Huainan, China); Zhu, Jun-qi (School of Economy and Management, Anhui University of Science and Technology, Huainan, China)","Xu, Yue (Anhui University of Science and Technology)","Xu, Yue (Anhui University of Science and Technology); Yang, Li (Anhui University of Science and Technology); Zhang, Chi (Anhui University of Science and Technology); Zhu, Jun-qi (Anhui University of Science and Technology)",3,3,,2.56,https://www.researchsquare.com/article/rs-1551667/latest.pdf,https://app.dimensions.ai/details/publication/pub.1153164491,37 Earth Sciences; 3704 Geoinformatics; 38 Economics,6 Clean Water and Sanitation
4677,pub.1157457568,10.1016/j.envres.2023.115981,37100365,,Hydrogeochemical characteristics and recharge sources identification based on isotopic tracing of alpine rivers in the Tibetan Plateau,"Alpine rivers originating from the Tibetan Plateau (TP) contain large amounts of water resources with high environmental sensitivity and eco-fragility. To clarify the variability and controlling factors of hydrochemistry on the headwater of the Yarlung Tsangpo River (YTR), the large river basin with the highest altitude in the world, water samples from the Chaiqu watershed were collected in 2018, and major ions, δ2H and δ18O of river water were analyzed. The values of δ2H (mean: -141.4‰) and δ18O (mean: -18.6‰) were lower than those in most Tibetan rivers, which followed the relationship: δ2H = 4.79*δ18O-52.2. Most river deuterium excess (d-excess) values were lower than 10‰ and positively correlated with altitude controlled by regional evaporation. The SO42- in the upstream, the HCO3- in the downstream, and the Ca2+ and Mg2+ were the controlling ions (accounting for >50% of the total anions/cations) in the Chaiqu watershed. Stoichiometry and principal component analysis (PCA) results revealed that sulfuric acid stimulated the weathering of carbonates and silicates to produce riverine solutes. This study promotes understanding water source dynamics to inform water quality and environmental management in alpine regions.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This research was financially supported by the ‘‘Strategic Priority Research Program” of the Chinese Academy of Sciences (grant No. XDB26000000), the National Key Research and Development Program of China (grant No. 2020YFA0607700), the National Natural Science Foundation of China (grant Nos. 41730857, 91747202, 42273050, 41877402), the Key Research Program of the Institute of Geology Geophysics, CAS (grant No. IGGCAS-202204). Wenjing Liu acknowledges support from the Youth Innovation Promotion Association CAS (2019067).",,Environmental Research,,,"Tibet; Environmental Monitoring; Rivers; Water Quality; Carbonates; Water Pollutants, Chemical",2023-04-24,2023,2023-04-24,2023-07,229,,115981,Closed,Article,"Han, Ruiyin; Liu, Wenjing; Zhang, Jiangyi; Zhao, Tong; Sun, Huiguo; Xu, Zhifang","Han, Ruiyin (Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China; University of Chinese Academy of Sciences, Beijing, 100049, China.); Liu, Wenjing (Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China; University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Life and Paleoenvironment, Beijing, 100044, China.); Zhang, Jiangyi (Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China; University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Life and Paleoenvironment, Beijing, 100044, China.); Zhao, Tong (Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China; University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Life and Paleoenvironment, Beijing, 100044, China.); Sun, Huiguo (Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China; University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Life and Paleoenvironment, Beijing, 100044, China.); Xu, Zhifang (Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China; University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Life and Paleoenvironment, Beijing, 100044, China. Electronic address: zfxu@mail.iggcas.ac.cn.)","Xu, Zhifang (Institute of Geology and Geophysics; University of Chinese Academy of Sciences; Chinese Academy of Sciences)","Han, Ruiyin (Institute of Geology and Geophysics; University of Chinese Academy of Sciences); Liu, Wenjing (Institute of Geology and Geophysics; University of Chinese Academy of Sciences; Chinese Academy of Sciences); Zhang, Jiangyi (Institute of Geology and Geophysics; University of Chinese Academy of Sciences; Chinese Academy of Sciences); Zhao, Tong (Institute of Geology and Geophysics; University of Chinese Academy of Sciences; Chinese Academy of Sciences); Sun, Huiguo (Institute of Geology and Geophysics; University of Chinese Academy of Sciences; Chinese Academy of Sciences); Xu, Zhifang (Institute of Geology and Geophysics; University of Chinese Academy of Sciences; Chinese Academy of Sciences)",7,7,,,,https://app.dimensions.ai/details/publication/pub.1157457568,41 Environmental Sciences; 4104 Environmental Management,
4675,pub.1151765216,10.1016/j.scitotenv.2022.159383,36240937,PMC9551124,"Effects of COVID-19 era on a subtropical river basin in Bangladesh: Heavy metal(loid)s distribution, sources and probable human health risks","The COVID-19 era has profoundly affected everyday human life, the environment, and freshwater ecosystems worldwide. Despite the numerous influences, a strict COVID-19 lockdown might improve the surface water quality and thus provide an unprecedented opportunity to restore the degraded freshwater resource. Therefore, we intend to investigate the spatiotemporal water quality, sources, and preliminary health risks of heavy metal(loid)s in the Karatoya River basin (KRB), a tropical urban river in Bangladesh. Seventy water samples were collected from 35 stations in KRB in 2019 and 2022 during the dry season. The results showed that the concentrations of Ni, Cu, Zn, Pb, Cd, and Cr were significantly reduced by 89.3-99.7 % during the post-lockdown period (p < 0.05). However, pH, Fe, Mn, and As concentrations increased due to the rise of urban waste and the usage of disinfectants during the post-lockdown phase. In the post-lockdown phase, the heavy metal pollution index, heavy metal evaluation index, and Nemerow's pollution index values lessened by 8.58 %, 42.86 %, and 22.86 %, respectively. Besides, the irrigation water quality indices also improved by 59 %-62 %. The total hazard index values increased by 24 % (children) and 22 % (adults) due to the rise in Mn and As concentrations during the lockdown. In comparison, total carcinogenic risk values were reduced by 54 % (children) and 53 % (adults) in the post-lockdown. We found no significant changes in river flow, rainfall, or land cover near the river from the pre to post-lockdown phase. The results of semivariogram models have demonstrated that most attributes have weak spatial dependence, indicating restricted industrial and agricultural effluents during the lockdown, significantly improving river water quality. Our study confirms that the lockdown provides a unique opportunity for the remarkable improvement of degraded freshwater resources. Long-term management policies and regular monitoring should reduce river pollution and clean surface water.",The authors thank the National Council for Scientific and Technological Development (CNPq/Brazil) for granting of research productivity grant to Dr. Malafaia G. (proc. #308854/2021-7).,The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Small Groups Project under grant number (RGP.1/215/43).,The Science of The Total Environment,,,"Child; Adult; Humans; Rivers; Ecosystem; COVID-19; Bangladesh; Environmental Monitoring; Communicable Disease Control; Metals, Heavy; Water Quality; Risk Assessment; Water Pollutants, Chemical",2022-10-11,2022,2022-10-11,2023-01,857,Pt 1,159383,All OA; Bronze,Article,"Ul-Haque, Jawad; Siddique, Md. Abu Bakar; Islam, Md. Saiful; Ali, Mir Mohammad; Tokatli, Cem; Islam, Aznarul; Pal, Subodh Chandra; Idris, Abubakar M.; Malafaia, Guilherme; Islam, Abu Reza Md Towfiqul","Ul-Haque, Jawad (Department of Disaster Management, Begum Bekeya University, Rangpur 5400, Bangladesh); Siddique, Md. Abu Bakar (Institute of National Analytical Research and Service (INARS), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhanmondi, Dhaka 1205, Bangladesh); Islam, Md. Saiful (Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh); Ali, Mir Mohammad (Department of Aquaculture, Sher-e-Bangla Agricultural University, Dhaka 1207, Bangladesh); Tokatli, Cem (Trakya University, Laboratory Technology Department, İpsala, Edirne,Turkey); Islam, Aznarul (Department of Geography, Aliah University, 17 Gorachand Road, Kolkata 700 014, West Bengal, India); Pal, Subodh Chandra (Department of Geography, The University of Burdwan, Bardhaman 713104, West Bengal, India); Idris, Abubakar M. (Department of Chemistry, College of Science, King Khalid University, Abha 62529, Saudi Arabia; Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha 62529, Saudi Arabia); Malafaia, Guilherme (Post-Graduation Program in Conservation of Cerrado Natural Resources, Goiano Federal Institute, Urutaí, GO, Brazil; Post-Graduation Program in Ecology, Conservation, and Biodiversity, Federal University of Uberlândia, Uberlândia, MG, Brazil; Post-Graduation Program in Biotechnology and Biodiversity, Federal University of Goiás, Goiânia, GO, Brazil); Islam, Abu Reza Md Towfiqul (Department of Disaster Management, Begum Bekeya University, Rangpur 5400, Bangladesh)","Islam, Abu Reza Md Towfiqul (Department of Disaster Management, Begum Bekeya University, Rangpur 5400, Bangladesh)","Ul-Haque, Jawad (Department of Disaster Management, Begum Bekeya University, Rangpur 5400, Bangladesh); Siddique, Md. Abu Bakar (Bangladesh Council of Scientific and Industrial Research); Islam, Md. Saiful (Patuakhali Science and Technology University); Ali, Mir Mohammad (Sher-e-Bangla Agricultural University); Tokatli, Cem (Trakya University); Islam, Aznarul (Aliah University); Pal, Subodh Chandra (University of Burdwan); Idris, Abubakar M. (King Khalid University; King Khalid University); Malafaia, Guilherme (Instituto Federal Goiano; Federal University of Uberlândia; Universidade Federal de Goiás); Islam, Abu Reza Md Towfiqul (Department of Disaster Management, Begum Bekeya University, Rangpur 5400, Bangladesh)",31,31,5.09,11.99,https://doi.org/10.1016/j.scitotenv.2022.159383,https://app.dimensions.ai/details/publication/pub.1151765216,41 Environmental Sciences; 4105 Pollution and Contamination,6 Clean Water and Sanitation
4674,pub.1158344142,10.1016/j.scitotenv.2023.164373,37244621,,Frontiers in páramo water resources research: A multidisciplinary assessment,"Interdisciplinary knowledge is necessary to achieve sustainable management of natural resources. However, research is still often developed in an exclusively disciplinary manner, hampering the capacity to holistically address environmental issues. This study focuses on páramo, a group of high-elevation ecosystems situated around ∼3000 to ∼5000 m a.s.l. in the Andes from western Venezuela and northern Colombia through Ecuador down to northern Peru, and in the highlands of Panama and Costa Rica in Central America. Páramo is a social-ecological system that has been inhabited and shaped by human activity since ∼10,000 years BP. This system is highly valued for the water-related ecosystem services provided to millions of people because it forms the headwaters of major rivers in the Andean-Amazon region, including the Amazon River. We present a multidisciplinary assessment of peer-reviewed research on the abiotic (physical and chemical), biotic (ecological and ecophysiological), and social-political aspects and elements of páramo water resources. A total of 147 publications were evaluated through a systematic literature review process. We found that thematically 58, 19, and 23 % of the analyzed studies are related to the abiotic, biotic, and social-political aspects of páramo water resources, respectively. Geographically, most publications were developed in Ecuador (71 % of the synthesized publications). From 2010 onwards, the understanding of hydrological processes including precipitation and fog dynamics, evapotranspiration, soil water transport, and runoff generation improved, particularly for the humid páramo of southern Ecuador. Investigations on the chemical quality of water generated by páramo are rare, providing little empirical support to the widespread belief that páramo environments generate water of high quality. Most ecological studies examined the coupling between páramo terrestrial and aquatic environments, but few directly assessed in-stream metabolic and nutrient cycling processes. Studies focused on the connection between ecophysiological and ecohydrological processes influencing páramo water balance are still scarce and mainly related to the dominant vegetation in the Andean páramo, i.e., tussock grass (pajonal). Social-political studies addressed páramo governance and the implementation and significance of water funds and payment for hydrological services. Studies directly addressing water use, access, and governance in páramo communities remain limited. Importantly, we found only a few interdisciplinary studies combining methodologies from at least two disciplines of different nature despite their value in supporting decision-making. We expect this multidisciplinary synthesis to become a milestone to foster interdisciplinary and transdisciplinary dialogue among individuals and entities involved in and committed to the sustainable management of páramo natural resources. Finally, we also highlight key frontiers in páramo water resources research, which in our view need to be addressed in the coming years/decades to achieve this goal.","Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: G.M.M. reports financial support was provided by CONDESAN, the Mountain Research Initiative (MRI), and the University of Zurich. Acknowledgements G.M.M. acknowledges the support of a Postdoctoral Fellowship from the Universidad San Francisco de Quito USFQ and the EU H2020 European Research and Innovation action Grant Agreement 869226 (DRYvER). D.A.R.-I. was supported by NSF grant EAR-1847331 while writing this manuscript. We thank Andrea Encalada, Alexandra Garcés, Manuel Peralvo, Marygold Walsh-Dilley, and five anonymous reviewers for providing feedback on earlier versions of the manuscript. Funding Financial support was provided by the Cluster of Cooperation Conéctate A+ formed by CONDESAN, the Mountain Research Initiative (MRI), and the University of Zurich. The funding sources were not involved in study design; data collection, analysis, and interpretation; manuscript writing; or the submission of the article for publication.","Financial support was provided by the Cluster of Cooperation Conéctate A+ formed by CONDESAN, the Mountain Research Initiative (MRI), and the University of Zurich. The funding sources were not involved in study design; data collection, analysis, and interpretation; manuscript writing; or the submission of the article for publication.",The Science of The Total Environment,,,Humans; Ecosystem; Water Resources; Soil; Colombia; Water; Rivers,2023-05-25,2023,2023-05-25,2023-09,892,,164373,Closed,Article,"Mosquera, Giovanny M; Hofstede, Robert; Bremer, Leah L; Asbjornsen, Heidi; Carabajo-Hidalgo, Aldemar; Célleri, Rolando; Crespo, Patricio; Esquivel-Hernández, Germain; Feyen, Jan; Manosalvas, Rossana; Marín, Franklin; Mena-Vásconez, Patricio; Montenegro-Díaz, Paola; Ochoa-Sánchez, Ana; Pesántez, Juan; Riveros-Iregui, Diego A; Suárez, Esteban","Mosquera, Giovanny M (Colegio de Ciencias Biológicas y Ambientales/Instituto Biósfera, Universidad San Francisco de Quito USFQ, Quito, Ecuador. Electronic address: gmosquera@usfq.edu.ec.); Hofstede, Robert (Colegio de Ciencias Biológicas y Ambientales/Instituto Biósfera, Universidad San Francisco de Quito USFQ, Quito, Ecuador; Ecopar Corporation, Quito, Ecuador.); Bremer, Leah L (University of Hawai'i Economic Research Organization, University of Hawai'i at Mānoa, Honolulu, HI, USA; Water Resources Research Center, University of Hawai'i at Mānoa, Honolulu, HI, USA.); Asbjornsen, Heidi (Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA.); Carabajo-Hidalgo, Aldemar (Departamento de Biología Evolutiva, Ecología y Ciencias Ambientales, Universidad de Barcelona, Barcelona, Spain; Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador.); Célleri, Rolando (Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador; Facultad de Ingeniería, Universidad de Cuenca, Cuenca, Ecuador.); Crespo, Patricio (Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador; Facultad de Ingeniería, Universidad de Cuenca, Cuenca, Ecuador.); Esquivel-Hernández, Germain (Stable Isotopes Research Group and Water Resources Management Laboratory, Universidad Nacional, Heredia, Costa Rica.); Feyen, Jan (Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador; Department of Earth and Environmental Sciences, Faculty of Bioscience Engineering, Katholieke Universiteit Leuven, Leuven-Heverlee, Belgium.); Manosalvas, Rossana (EcoCiencia, Quito, Ecuador; Department of Environmental Sciences, Wageningen University & Research, Wageningen, the Netherlands.); Marín, Franklin (Facultad de Ciencias Agropecuarias, Carrera de Ingeniería Agronómica, Universidad de Cuenca, Cuenca, Ecuador; Department of Environment, CAVElab - Computational and Applied Vegetation Ecology, Ghent University, Gent, Belgium.); Mena-Vásconez, Patricio (EcoCiencia, Quito, Ecuador; Department of Environmental Sciences, Wageningen University & Research, Wageningen, the Netherlands.); Montenegro-Díaz, Paola (Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador; Departamento de Posgrados, Universidad del Azuay, Cuenca, Ecuador; TRACES & Escuela de Ingeniería Ambiental, Facultad de Ciencia y Tecnología, Universidad del Azuay, Cuenca, Ecuador.); Ochoa-Sánchez, Ana (TRACES & Escuela de Ingeniería Ambiental, Facultad de Ciencia y Tecnología, Universidad del Azuay, Cuenca, Ecuador.); Pesántez, Juan (Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de Cuenca, Cuenca, Ecuador.); Riveros-Iregui, Diego A (Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.); Suárez, Esteban (Colegio de Ciencias Biológicas y Ambientales/Instituto Biósfera, Universidad San Francisco de Quito USFQ, Quito, Ecuador.)","Mosquera, Giovanny M (Universidad San Francisco de Quito)","Mosquera, Giovanny M (Universidad San Francisco de Quito); Hofstede, Robert (Universidad San Francisco de Quito; Colegio de Ciencias Biológicas y Ambientales/Instituto Biósfera, Universidad San Francisco de Quito USFQ, Quito, Ecuador; Ecopar Corporation, Quito, Ecuador.); Bremer, Leah L (University of Hawaiʻi at Mānoa); Asbjornsen, Heidi (University of New Hampshire); Carabajo-Hidalgo, Aldemar (University of Barcelona; University of Cuenca); Célleri, Rolando (University of Cuenca); Crespo, Patricio (University of Cuenca); Esquivel-Hernández, Germain (National University of Costa Rica); Feyen, Jan (University of Cuenca; KU Leuven); Manosalvas, Rossana (EcoCiencia; Wageningen University & Research); Marín, Franklin (University of Cuenca; Ghent University); Mena-Vásconez, Patricio (EcoCiencia; Wageningen University & Research); Montenegro-Díaz, Paola (University of Cuenca; University of Azuay); Ochoa-Sánchez, Ana (University of Azuay); Pesántez, Juan (University of Cuenca); Riveros-Iregui, Diego A (University of North Carolina at Chapel Hill); Suárez, Esteban (Universidad San Francisco de Quito)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1158344142,37 Earth Sciences; 3707 Hydrology,15 Life on Land
4644,pub.1146884349,10.1016/j.jenvman.2022.114896,35390651,,An improved method of using two-dimensional model to evaluate the carrying capacity of regional water resource in Inner Mongolia of China,"The evaluation of regional water resource carrying capacity has been repeatedly conducted to provide a scientific basis for the local water resource management and the sustainable development, in particular in the water-limited regions. However, the definition of regional water resource carrying capacity and its evaluation method are still arguable. Through a case study of Inner Mongolia, located in the arid and semi-arid northern China, this paper developed an improved method to calculate regional water resource carrying capacity by the combination of the water supply-demand analysis and the S-shaped curve threshold analysis. The spatial and temporal patterns of the regional water resource carrying capacity in Inner Mongolia during 2000-2019 was evaluated at three scales, namely the province scale, the basin scale and the city scale. The results showed that the average regional water resource carrying capacity of the whole province was 0.25 (the full mark is 1.00); at the basin scale, the Yellow River Basin had the lowest regional water resource carrying capacity (0.17) among all the basins, showing that the utilization of the water resources was unreasonable; at the city scale, the average regional water resource carrying capacities in Hulunbuir and Xilingol were both over 0.25, while those in Alxa, BayanNur and Wuhai were below 0.1; Hulunbuir had 25.48 billion m3 water surplus, while BayanNur suffered from an average water deficit of 4.51 billion m3 from 2000 to 2019. This paper has provided a reasonable way to measure the regional water resource carrying capacity using an improved method by incorporating S-shaped curve threshold analysis, which may have a wider application for the clustering and optimization of regional water management. In addition, the spatial and temporal patterns of regional water carrying capacity are beneficial for policymakers in the implementation of the effective water usage.","This research is jointly funded by the National Natural Science Foundation of China Project (grant 41991235, 42007052), Ecological Comprehensive Assessment and Risk Analysis in Inner Mongolia Autonomous region (NMGZCS-G-F-210124), and the Fundamental Research Funds for the Central Universities.",,Journal of Environmental Management,,,China; Conservation of Natural Resources; Sustainable Development; Water; Water Resources,2022-04-05,2022,2022-04-05,2022-07,313,,114896,Closed,Article,"Hu, Mengqi; Li, Changjia; Zhou, Wenxin; Hu, Rina; Lu, Tong","Hu, Mengqi (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, China.); Li, Changjia (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, China. Electronic address: changjia.li@bnu.edu.cn.); Zhou, Wenxin (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, China.); Hu, Rina (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, China.); Lu, Tong (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, China.)","Li, Changjia (Beijing Normal University)","Hu, Mengqi (Beijing Normal University); Li, Changjia (Beijing Normal University); Zhou, Wenxin (Beijing Normal University); Hu, Rina (Beijing Normal University); Lu, Tong (Beijing Normal University)",12,12,1.58,10.22,,https://app.dimensions.ai/details/publication/pub.1146884349,37 Earth Sciences; 3704 Geoinformatics,
4639,pub.1009877275,10.1590/1519-6984.0213,26270207,,History of water quality parameters – a study on the Sinos River/Brazil,"Water is increasingly becoming a valuable resource, constituting one of the central themes of environmental, economic and social discussions. The Sinos River, located in southern Brazil, is the main river from the Sinos River Basin, representing a source of drinking water supply for a highly populated region. Considering its size and importance, it becomes necessary to conduct a study to follow up the water quality of this river, which is considered by some experts as one of the most polluted rivers in Brazil. As for this study, its great importance lies in the historical analysis of indicators. In this sense, we sought to develop aspects related to the management of water resources by performing a historical analysis of the Water Quality Index (WQI) of the Sinos River, using statistical methods. With regard to the methodological procedures, it should be pointed out that this study performs a time analysis of monitoring data on parameters related to a punctual measurement that is variable in time, using statistical tools. The data used refer to analyses of the water quality of the Sinos River (WQI) from the State Environmental Protection Agency Henrique Luiz Roessler (Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler, FEPAM) covering the period between 2000 and 2008, as well as to a theoretical analysis focusing on the management of water resources. The study of WQI and its parameters by statistical analysis has shown to be effective, ensuring its effectiveness as a tool for the management of water resources. The descriptive analysis of the WQI and its parameters showed that the water quality of the Sinos River is concerning low, which reaffirms that it is one of the most polluted rivers in Brazil. It should be highlighted that there was an overall difficulty in obtaining data with the appropriate periodicity, as well as a long complete series, which limited the conduction of statistical studies such as the present one.","We would like to thank FEPAM for the provided data that supported this study, and to Rio Grande do Sul State Research Support Agency (Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, FAPERGS), the development agency that fostered the conduction of this project.",,Brazilian Journal of Biology,,,Brazil; Environmental Monitoring; Rivers; Water Quality; Water Resources,2015-05-01,2015,2015-05-01,2015-05,75,2 suppl,1-10,All OA; Gold,Article,"Konzen, GB; Figueiredo, JAS; Quevedo, DM","Konzen, GB (Programa de Pós-Graduação em Qualidade Ambiental, Universidade Feevale, Universidade FEEVALE, Novo Hamburgo, RS, Brazil, Programa de Pós-Graduação em Qualidade Ambiental, Universidade Feevale, Rodovia RS 239, 2755, Vila Nova, Novo Hamburgo, RS, Brazil); Figueiredo, JAS (Programa de Pós-Graduação em Qualidade Ambiental, Universidade Feevale, Universidade FEEVALE, Novo Hamburgo, RS, Brazil, Programa de Pós-Graduação em Qualidade Ambiental, Universidade Feevale, Rodovia RS 239, 2755, Vila Nova, Novo Hamburgo, RS, Brazil); Quevedo, DM (Programa de Pós-Graduação em Qualidade Ambiental, Universidade Feevale, Universidade FEEVALE, Novo Hamburgo, RS, Brazil, Programa de Pós-Graduação em Qualidade Ambiental, Universidade Feevale, Rodovia RS 239, 2755, Vila Nova, Novo Hamburgo, RS, Brazil)","Quevedo, DM (Universidade Feevale)","Konzen, GB (Universidade Feevale); Figueiredo, JAS (Universidade Feevale); Quevedo, DM (Universidade Feevale)",7,3,0.26,0.84,https://www.scielo.br/j/bjb/a/Wy9hHdsRcZytxTm3VHSgjZB/?lang=en&format=pdf,https://app.dimensions.ai/details/publication/pub.1009877275,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4631,pub.1149273786,10.1016/j.scitotenv.2022.157152,35803420,,Long-term detection and spatiotemporal variation analysis of open-surface water bodies in the Yellow River Basin from 1986 to 2020,"Accurately investigating long-term information about open-surface water bodies can contribute to water resource protection and management. However, due to the limits of big-data calculations for remote sensing, there has been no specific study on the long-term changes in the water bodies in the Yellow River Basin. Thus, in this study, we developed a new combined extraction rule to build an entire annual-scale open-surface water body dataset for 1986-2020 with excellent effectiveness in eliminating the interference of shadows in the Yellow River Basin using all of the available Landsat images. For the first time, the spatial distribution, change trends, conversion processes, and the heterogeneity of the surface water bodies in the Yellow River Basin were analyzed comprehensively to the best of our knowledge. The extraction results had an overall accuracy of 99.70 % and a kappa coefficient of 0.90, which were validated using 34,073 verification points selected on high-resolution Google Earth images and random Landsat images. The total area of water bodies initially decreased (1986-2000) and then increased (2001-2020); however, only the size of the permanent water bodies increased in most areas, while the size of most of the seasonal water bodies decreased. In regions with human-made water bodies, the non-water areas were substantially converted to seasonal and permanent water bodies; however, in areas with natural water bodies, many permanent and seasonal water bodies were gradually converted to non-water areas. Thus, most of the increases in the water bodies occurred in the form of artificial lakes and reservoirs, while most of the decreases in the water body area occurred in natural wetlands and lakes. The areas of both the permanent and seasonal water bodies were positively correlated with precipitation, but only the area of the seasonal water bodies was negatively correlated with temperature.","This study was supported by the Special Fund for Basic Scientific Research Business of Central Public Research Institutes (Grant No.2019YSKY-017), the National Natural Science Foundation of China (Grant No. 41001055), and the National Key Research and Development Program of China (Grant No. 2016YFC0500401-5).",,The Science of The Total Environment,,,China; Environmental Monitoring; Humans; Lakes; Rivers; Water Resources; Wetlands,2022-07-06,2022,2022-07-06,2022-11,845,,157152,Closed,Article,"Zhang, Yangchengsi; Du, Jiaqiang; Guo, Long; Fang, Shifeng; Zhang, Jing; Sun, Bingqing; Mao, Jialin; Sheng, Zhilu; Li, Lijuan","Zhang, Yangchengsi (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China. Electronic address: zhangyangchengsi@webmail.hzau.edu.cn.); Du, Jiaqiang (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China. Electronic address: dujq@craes.org.cn.); Guo, Long (College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China. Electronic address: guolong@mail.hzau.edu.cn.); Fang, Shifeng (State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: fangsf@igsnrr.ac.cn.); Zhang, Jing (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China; School of Life Sciences, Lanzhou University, Lanzhou 730000, China. Electronic address: zhj19@lzu.edu.cn.); Sun, Bingqing (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China. Electronic address: sunbingqing20@mails.ucas.ac.cn.); Mao, Jialin (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China; School of Life Sciences, Lanzhou University, Lanzhou 730000, China. Electronic address: maojl20@lzu.edu.cn.); Sheng, Zhilu (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China. Electronic address: zlsheng@mail.bnu.edu.cn.); Li, Lijuan (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China. Electronic address: lilj.17b@igsnrr.ac.cn.)","Du, Jiaqiang (Chinese Research Academy of Environmental Sciences)","Zhang, Yangchengsi (Chinese Research Academy of Environmental Sciences); Du, Jiaqiang (Chinese Research Academy of Environmental Sciences); Guo, Long (Huazhong Agricultural University); Fang, Shifeng (Institute of Geographic Sciences and Natural Resources Research); Zhang, Jing (Chinese Research Academy of Environmental Sciences; Lanzhou University); Sun, Bingqing (Chinese Research Academy of Environmental Sciences); Mao, Jialin (Chinese Research Academy of Environmental Sciences; Lanzhou University); Sheng, Zhilu (Chinese Research Academy of Environmental Sciences); Li, Lijuan (Chinese Research Academy of Environmental Sciences)",8,8,,6.82,,https://app.dimensions.ai/details/publication/pub.1149273786,37 Earth Sciences; 3704 Geoinformatics,
4628,pub.1053593956,10.1007/s00267-016-0756-5,27617330,,Mapping Water Vulnerability of the Yangtze River Basin: 1994–2013,"A holistic understanding of the magnitude and long-term trend of water vulnerability is essential for making management decisions in a given river basin. Existing procedures to assess the spatiotemporal dynamic of water vulnerability in complex mega-scale river basins are inadequate; a new method named ensemble hydrologic assessment was proposed in this study, which allows collection of data and knowledge about many aspects of water resources to be synthesized in a useful way for vulnerability assessment. The objective of this study is to illustrate the practical utility of such an integrated approach in examining water vulnerability in the Yangtze River Basin. Overall, the results demonstrated that the ensemble hydrologic assessment model could largely explain the spatiotemporal evolution of water vulnerability. This paper improves understanding of the status and trends of water resources in the Yangtze River Basin.","The authors thank Mr. Jun Wang (Director of Bureau of Hydrology, CWRC, Wuhan, China) for providing the valuable historical observed runoff data of the YRB. We are grateful to Robert Twiss (Emeritus Professor of University of California, Berkeley, San Francisco, USA) for contributing to the engaged discussions and comments, and suggestions during the preparation of this paper. The Science and Technology Commission of Shanghai Municipality (no. 15DZ1203606) and the Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration (no. SHUES2015B02) funded this work. The authors thank the editor and the anonymous reviewers who helped to improve this paper with their thorough review.",,Environmental Management,,,"China; Hydrology; Models, Theoretical; Rivers; Water Resources; Water Supply",2016-09-12,2016,2016-09-12,2016-11,58,5,857-872,All OA; Green,Article,"Sun, Fengyun; Kuang, Wenhui; Xiang, Weining; Che, Yue","Sun, Fengyun (School of Geographic Sciences, East China Normal University, 200241, Shanghai, China; Shanghai Key Laboratory of Urbanization and Ecological Restoration, East China Normal University, 200241, Shanghai, China); Kuang, Wenhui (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China); Xiang, Weining (Shanghai Key Laboratory of Urbanization and Ecological Restoration, East China Normal University, 200241, Shanghai, China); Che, Yue (Shanghai Key Laboratory of Urbanization and Ecological Restoration, East China Normal University, 200241, Shanghai, China)","Che, Yue (East China Normal University)","Sun, Fengyun (East China Normal University; East China Normal University); Kuang, Wenhui (Institute of Geographic Sciences and Natural Resources Research); Xiang, Weining (East China Normal University); Che, Yue (East China Normal University)",10,4,0.05,1.21,http://ir.igsnrr.ac.cn/bitstream/311030/43212/1/Sun-2016-Mapping%20Water%20Vulner.pdf,https://app.dimensions.ai/details/publication/pub.1053593956,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4624,pub.1149836101,10.3390/ijerph19159267,35954621,PMC9367871,"Investigating Historical Baseflow Characteristics and Variations in the Upper Yellow River Basin, China","The baseflow of the Yellow River is vital and important for water resource management and for understanding the hydrological cycle and ecohydrology setting in this arid and semi-arid basin. This study uses a Lyne and Hollick digital filtering technique to investigate the behaviors of the baseflow and the baseflow index in the upper reaches of the Yellow River Basin (China). The observed streamflow discharges along the river were used to analyze the baseflow trend, persistence, and periodic characteristics during the period of 1950-2000. The results show that the average baseflow and BFI in the upper reaches of the Yellow River exhibit a decreasing trend and will continue to decline in the future. Generally, the annual average baseflow and BFI for the most upstream areas of the Yellow River show little difference, while the baseflow and BFI exhibit significant differences for the downstream areas. The filtered annual baseflow varied between 128 × 108 m3/year and 193 × 108 m3/year for the Yellow River. The BFI ranged from 0.54 to 0.65, with an average of 0.60. This indicates that on average, 60% of the long-term streamflow is likely controlled by groundwater discharge and shallow subsurface flow. Statistics show that two periodic variations were observed in the baseflow evolution process. The results indicate that on average, the first and second main cycles of baseflow behaviors occur at 28 years and 12-17 years, respectively. Correspondingly, the estimation indicates that the abrupt change points tend to appear in the 1960s, the 1980s, and the 1990s. An improved understanding of baseflow behaviors can help guide future strategies to manage the river regime, its water resources, and water quality.",,"This research was supported by the National Natural Science Foundation of China (41372260 and 41972261), the Youth Innovation Promotion Association of the Chinese Academy of Sciences (Y9CJH01001), and the Geological Survey Project of China Geological Survey (DD20190354 and DD20190648).",International Journal of Environmental Research and Public Health,,Paul B. Tchounwou,China; Environmental Monitoring; Groundwater; Rivers; Water Movements,2022-07-28,2022,2022-07-28,,19,15,9267,All OA; Gold,Article,"Zhao, Guizhang; Kong, Lingying; Li, Yunliang; Xu, Yuanzhi; Li, Zhiping","Zhao, Guizhang (College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China;, guizhangzhao@163.com, (G.Z.);, klyyy559@163.com, (L.K.);, lizhiping@ncwu.edu.cn, (Z.L.); Collaborative Innovation Center for Efficient Utilization of Water Resources, 136 East Jinshui Road, Zhengzhou 450046, China); Kong, Lingying (College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China;, guizhangzhao@163.com, (G.Z.);, klyyy559@163.com, (L.K.);, lizhiping@ncwu.edu.cn, (Z.L.)); Li, Yunliang (Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China); Xu, Yuanzhi (Water Resources Research Institute of Shandong Province, 125 Lishan Road, Jinan 250014, China;, xuyuanzhixx@163.com); Li, Zhiping (College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China;, guizhangzhao@163.com, (G.Z.);, klyyy559@163.com, (L.K.);, lizhiping@ncwu.edu.cn, (Z.L.))","Li, Yunliang (Nanjing Institute of Geography and Limnology)","Zhao, Guizhang (North China University of Water Resources and Electric Power; College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China;, guizhangzhao@163.com, (G.Z.);, klyyy559@163.com, (L.K.);, lizhiping@ncwu.edu.cn, (Z.L.); Collaborative Innovation Center for Efficient Utilization of Water Resources, 136 East Jinshui Road, Zhengzhou 450046, China); Kong, Lingying (North China University of Water Resources and Electric Power; College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China;, guizhangzhao@163.com, (G.Z.);, klyyy559@163.com, (L.K.);, lizhiping@ncwu.edu.cn, (Z.L.)); Li, Yunliang (Nanjing Institute of Geography and Limnology); Xu, Yuanzhi (Shandong Provincial Water Resources Research Institute); Li, Zhiping (North China University of Water Resources and Electric Power; College of Geosciences and Engineering, North China University of Water Resources and Electric Power, 36 Beihuan Road, Zhengzhou 450045, China;, guizhangzhao@163.com, (G.Z.);, klyyy559@163.com, (L.K.);, lizhiping@ncwu.edu.cn, (Z.L.))",1,1,,0.48,https://www.mdpi.com/1660-4601/19/15/9267/pdf?version=1659327558,https://app.dimensions.ai/details/publication/pub.1149836101,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
4621,pub.1111248537,10.1007/s11356-019-04122-4,30617898,,River Basin Management Plans as a tool for sustainable transboundary river basins’ management,"Data availability and the existence of exchange mechanisms are considered crucial issues for the management of water bodies shared among riparian countries. Moreover, common legislative and technical frameworks are assets that foster the management of transboundary waters in an integrated and sustainable manner. The River Basin Management Plans of the European Union’s Water Framework Directive implementation process not only incorporate a cooperative framework, but also include open access internet-based databases that can enhance cooperation and shed light on water-related conflicts among countries that share transboundary waters. The proposed methodological approach in this research is applied in four transboundary river basins, where Greece is the downstream country, and the upstream countries are not all member states of the European Union. The areas of dispute were found in the 2nd Water Convention Report. For each particular case study, data and information from the respective River Basin Management Plans were used to investigate the actual situation. The results demonstrated that significant conflict situations in the past, which involved both water quality and water quantity issues, could be resolved using continuous and reliable datasets included in the management plans. The use of freely available data sources renders the findings of this work useful for the sustainable management of shared waters.","The sources of the background map of Figs. 1 and 4 are as follows: Esri, HERE, DeLorme, Intermap, increment P Corp., GEBCO, USGS, FAO, NPS, NRCAN, GeoBase, IGN, Kadaster NL, Ordnance Survey, Esri Japan, METI, Esri China (Hong Kong), swisstopo, MapmyIndia, © OpenStreetMap contributors, and the GIS User Community.",,Environmental Science and Pollution Research,,,Conservation of Water Resources; European Union; Greece; Rivers; Sustainable Development; Water Quality,2019-01-07,2019,2019-01-07,2019-05,26,15,14835-14848,Closed,Article,"Skoulikaris, Charalampos; Zafirakou, Antigoni","Skoulikaris, Charalampos (UNESCO Chair INWEB, University Campus, Aristotle University of Thessaloniki, GR54124, Thessaloniki, Greece); Zafirakou, Antigoni (Department of Civil Engineering, University Campus, Aristotle University of Thessaloniki, GR54124, Thessaloniki, Greece)","Skoulikaris, Charalampos (Aristotle University of Thessaloniki)","Skoulikaris, Charalampos (Aristotle University of Thessaloniki); Zafirakou, Antigoni (Aristotle University of Thessaloniki)",35,23,0.41,15.85,,https://app.dimensions.ai/details/publication/pub.1111248537,38 Economics; 3801 Applied Economics; 48 Law and Legal Studies,6 Clean Water and Sanitation
4618,pub.1157650211,10.1007/s11356-023-26984-5,37118400,,"Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India","Supply of water is one of the most significant determinants of regional crop production and human food security. To promote sustainable management of agricultural water, the crop water requirement assessment (CropWRA) model was introduced as a tool for the assessment of satisfied degree of crop water requirements (CWR). Crop combination, water availability for agricultural production, water accessibility, and other indices were calculated considering the DEM, hydrological and climatic data, and crop properties for measuring the agricultural water requirement and satisfied degree in Bansloi River basin using the CropWRA model. Advanced machine learning model random forest was used to calculate the soil moisture considering the atmospheric variable, Landsat indices, and energy balance components for calculating the crop water satisfied degree and water requirement. The average crop water demand is 1.92 m, and it ranges from 1.58 to 2.26 m. The demand of crop water is more in the western part of the basin than the eastern part. The CropWSD (crop water satisfied degree) ranges from 17 to 116% due to variation in topography, river system, crop combination, land use, water uses, etc. The average crop water satisfied degree is 59%. About 71% of the total area is under 40% to 60% CropWSD level. CropWRA model can be applied for the sustainable water resource management, irrigation infrastructure development, and use of other modern technologies.",We would like to extend our heartfelt acknowledgements to the basin dwellers for their cooperation during the field survey.,,Environmental Science and Pollution Research,,,,2023-04-29,2023,2023-04-29,2023-04-29,,,1-16,Closed,Article,"Paul, Gopal Chandra; Saha, Sunil","Paul, Gopal Chandra (Department of Geography, University of Gour Banga, 732103, Malda, West Bengal, India); Saha, Sunil (Department of Geography, University of Gour Banga, 732103, Malda, West Bengal, India)","Saha, Sunil (University of Gour Banga)","Paul, Gopal Chandra (University of Gour Banga); Saha, Sunil (University of Gour Banga)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1157650211,"30 Agricultural, Veterinary and Food Sciences; 37 Earth Sciences; 3704 Geoinformatics; 38 Economics; 3801 Applied Economics",15 Life on Land; 2 Zero Hunger; 6 Clean Water and Sanitation
4606,pub.1146177156,10.1038/s41598-022-06075-0,35273171,PMC8913779,Network flow and flood routing model for water resources optimization,"Real-time management of hydraulic systems composed of multi-reservoir involves conflicting objectives. Its representation requires complex variables to consider all the systems dynamics. Interfacing simulation model with optimization algorithm permits to integrate flow routing into reservoir operation decisions and consists in solving separately hydraulic and operational constraints, but it requires that the water resource management model is based on an evolutionary algorithm. Considering channel routing in optimization algorithm can be done using conceptual models such as the Muskingum model. However, the structure of algorithms based on a network flow approach, inhibits the integration of the Muskingum model in the approach formulation. In this work, a flood routing model, corresponding to a singular form of the Muskingum model, constructed as a network flow is proposed and integrated into the water management optimization. A genetic algorithm is involved for the calibration of the model. The proposed flood routing model was applied on the standard Wilson test and on a 40 km reach of the Arrats river (southwest of France). The results were compared with the results of the Muskingum model. Finally, operational results for a water resource management system including this model are illustrated on a rainfall event.",,,Scientific Reports,,,,2022-03-10,2022,2022-03-10,,12,1,3937,All OA; Gold,Article,"Tahiri, Ayoub; Che, Daniel; Ladeveze, David; Chiron, Pascale; Archimède, Bernard","Tahiri, Ayoub (Université de Toulouse, INP-ENIT, Laboratoire Génie de Production, LGP, Tarbes, France; Compagnie d’Aménagement des Coteaux de Gascogne, Tarbes, France); Che, Daniel (Department of Civil Engineering, Ohio University, Ohio, USA); Ladeveze, David (Compagnie d’Aménagement des Coteaux de Gascogne, Tarbes, France); Chiron, Pascale (Université de Toulouse, INP-ENIT, Laboratoire Génie de Production, LGP, Tarbes, France); Archimède, Bernard (Université de Toulouse, INP-ENIT, Laboratoire Génie de Production, LGP, Tarbes, France)","Chiron, Pascale (Laboratoire Génie de Production)","Tahiri, Ayoub (Laboratoire Génie de Production; Compagnie d’Aménagement des Coteaux de Gascogne, Tarbes, France); Che, Daniel (Ohio University); Ladeveze, David (Compagnie d’Aménagement des Coteaux de Gascogne, Tarbes, France); Chiron, Pascale (Laboratoire Génie de Production); Archimède, Bernard (Laboratoire Génie de Production)",5,5,,2.67,https://www.nature.com/articles/s41598-022-06075-0.pdf,https://app.dimensions.ai/details/publication/pub.1146177156,37 Earth Sciences; 3707 Hydrology,
4603,pub.1165282881,10.1007/s00267-023-01899-6,37891387,,Environmental Flows Assessment Based on the Coupling of Water Level and Salinity Requirements for Maintaining Biodiversity: A Case Study from the Ouémé delta in West Africa,"The present study carried out on the Ouémé delta in West Africa, addresses the implementation of the BBM approach for the determination e-flows in a context of high data limitation. It also highlights the potential challenges for the implementation of the recommended e-flows in West Africa countries. To do this, we first established the current ecological status of the delta based on data collection, measurements and scientists’ observations. Then, we formulated ecological objectives for e-flows based on the environmental management vision for the delta. And finally, we determined the water requirements for the sustainability of the biodiversity and ecosystem services using a simple 2D hydrodynamic model. The results indicate that 100 and 50% of the average natural flows are required respectively in low-water and high-water periods (3.4 billion m3 per year) to maintain the Ouémé Delta in its current environmental management class. This recommendation for e-flows allocation is in direct competition with the water requirements for the economic development of the delta, which is estimated to be over 3.0 billion m3 per year in the Master Plan for Water Development and Management. While it is clear that the establishment of e-flows recommendations must be accompanied by measures to limit the degradation of ecological habitats, it is even more clear that the economic development remained the main concern of policymakers. The integration of environmental flows into water resources management policies in developing countries requires linking water needs for economic development with water needs for the ecological sustainability of rivers and their associated ecosystems.",,"Metogbe Belfrid Djihouessi received a grant from International Foundation for Science (IFS Grant W 5840-2). This funding contributed for Field campaigns and instrumentation. Thanks to the Shared Resources, Joint Solutions (SRJS) program and the Benin Environment and Education Society for funding some of the additional data collection work.",Environmental Management,,,"Ecosystem; Salinity; Biodiversity; Water Resources; Africa, Western; Rivers",2023-10-27,2023,2023-10-27,2024-01,73,1,115-129,Closed,Article,"Djihouessi, Metogbe Belfrid; Sossa, Fidèle; Djihouessi, Berneed Mahounan; Degan, Berenger Arcadius S.; Djondo, Maximin; Djidohokpin, Gildas; Odountan, Olaniran Hamed; Houngue, Rita; Houessou, Laurent; Lougbegnon, Toussaint O.; Tigo, Beatrix A.; Fousseni, Abdoul Rachad; Aina, Martin Pepin","Djihouessi, Metogbe Belfrid (Laboratoire des Sciences et Techniques de l’Eau et de l’Environnement, Université d’Abomey-Calavi, Abomey Calavi, Benin; Chaire UNESCO en Sciences, Technologies et Environnement, Université d’Abomey-Calavi, Abomey Calavi, Benin); Sossa, Fidèle (Laboratoire d’Anthropologie Appliquée et d’Education au Développement Durable, Université d’Abomey-Calavi, Abomey Calavi, Benin); Djihouessi, Berneed Mahounan (École des Sciences et Techniques de Production Végétale, Faculté des Sciences Agronomiques, University of Abomey-Calavi, Abomey Calavi, Benin); Degan, Berenger Arcadius S. (Laboratoire d’Hydrologie Appliquée, Université d’Abomey-Calavi, Abomey Calavi, Benin; Laboratoire d’Energétique et de Mécanique Appliquée, Université d’Abomey-Calavi, Abomey Calavi, Benin); Djondo, Maximin (Department of Water Resources and Ecosystems, IHE-Delft, Delft, The Netherlands; Benin Environment and Education Society, Porto-Novo, Benin); Djidohokpin, Gildas (Laboratoire de Recherche sur les Zones Humides, Departement de Zoologie, Université d’Abomey Calavi, Abomey Calavi, Benin; Institut de Recherches Halieutiques et Océanologiques du Bénin, Cotonou, Benin); Odountan, Olaniran Hamed (Laboratoire d’Ecologie et de Management des Ecosystèmes Aquatiques, Université d’Abomey-Calavi, Abomey Calavi, Benin); Houngue, Rita (Institut National de l’Eau, Godomey, Benin); Houessou, Laurent (Laboratoire d’Ecologie, Botanique et Biologie Végétale, Université de Parakou, Parakou, Benin); Lougbegnon, Toussaint O. (Ecole de Foresterie Tropicale (EForT), Université Nationale d’Agriculture, Ketou, Benin); Tigo, Beatrix A. (Laboratoire des Sciences et Techniques de l’Eau et de l’Environnement, Université d’Abomey-Calavi, Abomey Calavi, Benin); Fousseni, Abdoul Rachad (Laboratoire des Sciences et Techniques de l’Eau et de l’Environnement, Université d’Abomey-Calavi, Abomey Calavi, Benin); Aina, Martin Pepin (Laboratoire des Sciences et Techniques de l’Eau et de l’Environnement, Université d’Abomey-Calavi, Abomey Calavi, Benin; Chaire UNESCO en Sciences, Technologies et Environnement, Université d’Abomey-Calavi, Abomey Calavi, Benin)","Djihouessi, Metogbe Belfrid (Université d'Abomey-Calavi; Université d'Abomey-Calavi)","Djihouessi, Metogbe Belfrid (Université d'Abomey-Calavi; Université d'Abomey-Calavi); Sossa, Fidèle (Université d'Abomey-Calavi); Djihouessi, Berneed Mahounan (Université d'Abomey-Calavi); Degan, Berenger Arcadius S. (Université d'Abomey-Calavi; Université d'Abomey-Calavi); Djondo, Maximin (Department of Water Resources and Ecosystems, IHE-Delft, Delft, The Netherlands; Benin Environment and Education Society, Porto-Novo, Benin); Djidohokpin, Gildas (Université d'Abomey-Calavi; Institut de Recherches Halieutiques et Océanologiques du Bénin, Cotonou, Benin); Odountan, Olaniran Hamed (Université d'Abomey-Calavi); Houngue, Rita (Institut National de l’Eau, Godomey, Benin); Houessou, Laurent (Université de Parakou); Lougbegnon, Toussaint O. (Ecole de Foresterie Tropicale (EForT), Université Nationale d’Agriculture, Ketou, Benin); Tigo, Beatrix A. (Université d'Abomey-Calavi); Fousseni, Abdoul Rachad (Université d'Abomey-Calavi); Aina, Martin Pepin (Université d'Abomey-Calavi; Université d'Abomey-Calavi)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1165282881,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,
4603,pub.1165064921,10.1007/s11356-023-30409-8,37861837,,"Assessment of the Wanyu River (China) based on a water, sediment and hydrobiont framework","Due to the striving for the development of economy and agriculture, anthropogenic activities in many countries dramatically alter natural hydrology. These activities are primarily responsible for river deterioration. Thus, we need to assess the river environment and take measures for remediation. According to the survey data, the study identified the critical factors causing water quality deterioration and evaluated the aquatic biodiversity in the Wanyu River. First, based on the monitoring data of water (dissolved oxygen (DO), chemical oxygen demand (COD), total phosphorus (TP), and ammonia nitrogen (NH3-N)), sediment (copper (Cu), zinc (Zn), lead (Pb), arsenic (As), nickel (Ni), mercury (Hg), cadmium (Cd), and chromium (Cr)), and aquatic biodiversity (fish and hydrophyte), the study identified the critical factors causing river quality deterioration. Second, the study provided some recommendations that would consolidate the restoration efforts. Consequently, because of the government’s efforts in building the municipal sewage treatment plant, dredging, and other measures, the river environment improved during the 2020–2021 period. The maximum concentrations of COD, NH3-N, and TP in water were reduced by 17.76%, 26.17%, and 20.93%, respectively. The sediment had no risk of heavy metal pollution in the past 2 years. And we could utilize sludge as garden soil or compost resource. However, reducing agricultural pollution, internal nutrient loading, and cost-effective restoration and evaluation represent significant challenges in the efforts to recover the river ecosystem.",The author would like to thank the colleagues from Ecological Environment Protection Association and the Public Government in Suzhou.,,Environmental Science and Pollution Research,,,"Ecosystem; Environmental Monitoring; Rivers; Water Pollutants, Chemical; Metals, Heavy; Mercury; Water Quality; China; Phosphorus; Risk Assessment; Geologic Sediments",2023-10-20,2023,2023-10-20,2023-11,30,53,114556-114568,Closed,Article,"Liu, Jing","Liu, Jing (Biology Research Department, School of Caoqiao, 215031, Suzhou, China)","Liu, Jing (Biology Research Department, School of Caoqiao, 215031, Suzhou, China)","Liu, Jing (Biology Research Department, School of Caoqiao, 215031, Suzhou, China)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1165064921,40 Engineering; 4011 Environmental Engineering; 41 Environmental Sciences; 4104 Environmental Management; 4105 Pollution and Contamination,
4601,pub.1110899688,10.3390/e21010014,33266730,PMC7514119,"Assessing Water Resources Vulnerability by Using a Rough Set Cloud Model: A Case Study of the Huai River Basin, China","Assessing water resources vulnerability is the foundation of local water resources management. However, as one of the major water systems in China, there is no existing evaluation index system that can effectively assess water resource vulnerability for the Huai River basin. To address this issue, we identified key vulnerability factors, constructed an evaluation index system, and applied such system to evaluate water resources vulnerability for the Huai River basin empirically in this paper. Specifically, our evaluation index system consists of 18 indexes selected from three different aspects: water shortage, water pollution, and water-related natural disaster. Then, the improved blind deletion rough set method was used to reduce the size of the evaluation index while keep the evaluation power. In addition, the improved conditional information entropy rough set method was employed to calculate the weights of evaluation indexes. Based on the reduced index system and calculated weights, a rough set cloud model was applied to carry out the vulnerability evaluation. The empirical results show that the Huai River basin water resources were under severe vulnerability conditions for most of the time between 2000 and 2016, and the Most Stringent Water Resources Management System (MS-WRMS) established in 2012 did not work effectively as expected.","This work was supported by National Natural Foundation for young scholar (No. 71403122), Natural Foundation of Jiangsu Province for young scholar (No. BK20140980) and Humanities and Social Science Foundation of Chinese Ministry of Education for young scholar (No. 14YJC630018).",,Entropy,,,,2018-12-24,2018,2018-12-24,,21,1,14,All OA; Gold,Article,"Chen, Yan; Feng, Yazhong; Zhang, Fan; Wang, Lei","Chen, Yan (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China;, fengyazhong@njfu.edu.cn); Feng, Yazhong (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China;, fengyazhong@njfu.edu.cn); Zhang, Fan (School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA 70803, USA;, fzhan14@lsu.edu); Wang, Lei (Teachers and Teaching Development Center, Nanjing University of Information Science and Technology, Nanjing 210044, China;, 001530@nuist.edu.cn)","Chen, Yan (Nanjing Forestry University)","Chen, Yan (Nanjing Forestry University); Feng, Yazhong (Nanjing Forestry University); Zhang, Fan (Louisiana State University); Wang, Lei (Nanjing University of Information Science and Technology)",21,13,0.56,,https://www.mdpi.com/1099-4300/21/1/14/pdf?version=1545659692,https://app.dimensions.ai/details/publication/pub.1110899688,49 Mathematical Sciences; 51 Physical Sciences,6 Clean Water and Sanitation
4601,pub.1019213689,10.1007/s11356-014-2922-8,24817678,,Strengthen the collaboration between the river basin management organization of China and International Environmental Specimen Bank Group,"Several types of emerging organic contaminants were investigated in many recent researches, such as persistent toxic substance (PTS), persistent organic pollutants (POPs), endocrine disrupters (EDs), and volatile organic compounds (VOCs). But the Chinese country standard detection methods of emerging organic pollutants were not developed with the dramatic increasing of the organic substances production. Hence, it is necessary to obtain the latest informations about the long-term storage of representative environmental specimens, which could provide scientific basis for environmental management and environmental decision-making of the water resources protection and management organization. As the significant water resource conservation organization, the Water Environment Monitoring Center of Yangtze River Basin is experienced in water environmental monitoring and records many useful water resources and environment informations. It is also our responsibility to monitor all the pollutants in water environment of the Yangtze River valley, especially the emerging organic contaminants. Meanwhile, the International Environmental Specimen Bank (IESB) accumulates lots environmental organic pollution specimens and plays a significant role in environmental monitoring. Thus, the collaboration between the two parties will be greatly helpful for each further researches and monitoring work of organic contaminants in Yangtze River Basin.",,,Environmental Science and Pollution Research,,,"China; Environmental Monitoring; Environmental Pollution; Hazardous Substances; Internationality; Rivers; Water Pollutants, Chemical; Water Supply",2014-05-11,2014,2014-05-11,2015-02,22,3,1628-1630,Closed,Article,"Tan, Lingzhi; Liu, Hui; Shu, Jinxiang; Xia, Fan","Tan, Lingzhi (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China); Liu, Hui (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China); Shu, Jinxiang (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China); Xia, Fan (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China)","Tan, Lingzhi (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China)","Tan, Lingzhi (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China); Liu, Hui (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China); Shu, Jinxiang (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China); Xia, Fan (Water Environment Monitoring Center of Yangtze River Basin, Yangtze River Valley Water Resources Protection Bureau, 430010, Wuhan, China)",1,0,,0.2,,https://app.dimensions.ai/details/publication/pub.1019213689,37 Earth Sciences; 41 Environmental Sciences; 4105 Pollution and Contamination; 48 Law and Legal Studies; 4802 Environmental and Resources Law,
4593,pub.1153374126,10.1016/j.scitotenv.2022.160595,36470387,,REVIVE: A feasibility assessment tool for freshwater fish conservation translocations in Mediterranean rivers,"Conservation translocation is a management action applied for population recovery of threatened freshwater fishes, often however with partially successful outcome, mainly due to inadequate feasibility assessment prior to the translocation. Up to date, feasibility assessments have been mainly focused on economically important species (e.g., salmonids) inhabiting perennial rivers, while little attention has been given to fish translocations in rivers in Mediterranean climate areas. In this study, we developed a robust feasibility assessment tool for freshwater fish translocations in Mediterranean-type riverine ecosystems within an interdisciplinary, multispecies approach. The REVIVE tool integrates quantitative and semi-quantitative data, incorporates uncertainty and consists of two main components. The first component is the evaluation of the potential release water bodies (R-WBs) for their suitability for the planned translocation, incorporating a number of essential criteria for Mediterranean rivers, with emphasis on flow regime and habitat quantity. Additional criteria include the current and historical presence of the target species, water and biological quality, habitat suitability in terms of the ecological requirements of the target species, alien invasive species' pressure, and hydromorphological pressures, including their mitigation potential. The second component is the evaluation of the potential source water bodies (S-WBs) in terms of genetic compatibility and provision of a sufficient number of propagules. A trial application in a Mediterranean basin (Vassilopotamos River, Southern Greece) for the potential translocation of two threatened cyprinids in five R-WBs indicated the robustness of the tool. This integrative, flexible tool combines several elements identified as essential in reintroduction biology and can have wider applications, for a multitude of freshwater fish taxa and riverine systems, maximizing the success of planned translocation actions by natural resources' managers. Modifications to enable its transferability to other river types or fish taxa are also discussed.","This study was conducted under the framework of the project PARNON “Improvement Actions for the Conservation Status of Squalius keadicus (Endangered) and Pelasgus laconicus (Critically Endangered)” in the context of the implementation of sub-project No. 1 “Management actions for the protection and conservation of biodiversity” of the Act: “Subsidy of Parnon, Moustos, Mainalon and Monemvasia Management Body for Management measures of the Protected Areas, Species and Habitats”, with code OPS (MIS) 5033190, which has been included in the Operational Programme “Transport Infrastructure, Environment Sustainable Development 2014–2020” and is co-financed by the European Union (Cohesion Fund) and by national resources through the Public Investments Programme. The authors wish to thank P. Kouraklis, A. Boglis, G. Dimitrakopoulos and D. Anastopoulos for assistance in field work and A. Lampou, A. Vourka, E. Sperelakis and P.N. Lambri for laboratory benthos analysis.",,The Science of The Total Environment,,,Animals; Rivers; Ecosystem; Biodiversity; Feasibility Studies; Fresh Water; Fishes; Cyprinidae; Introduced Species; Water; Conservation of Natural Resources,2022-12-05,2022,2022-12-05,2023-03,862,,160595,Closed,Article,"Kalogianni, Eleni; Koutsikos, Nicholas; Karaouzas, Ioannis; Smeti, Evangelia; Kapakos, Yiannis; Laschou, Sofia; Dimitriou, Elias; Vardakas, Leonidas","Kalogianni, Eleni (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece.); Koutsikos, Nicholas (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece.); Karaouzas, Ioannis (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece.); Smeti, Evangelia (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece.); Kapakos, Yiannis (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece.); Laschou, Sofia (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece.); Dimitriou, Elias (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece.); Vardakas, Leonidas (Hellenic Centre for Marine Research, Institute of Marine Biological Resources and Inland Waters, Anavissos PO 19013, Attica, Greece. Electronic address: louisvard@gmail.com.)","Vardakas, Leonidas (Hellenic Centre for Marine Research)","Kalogianni, Eleni (Hellenic Centre for Marine Research); Koutsikos, Nicholas (Hellenic Centre for Marine Research); Karaouzas, Ioannis (Hellenic Centre for Marine Research); Smeti, Evangelia (Hellenic Centre for Marine Research); Kapakos, Yiannis (Hellenic Centre for Marine Research); Laschou, Sofia (Hellenic Centre for Marine Research); Dimitriou, Elias (Hellenic Centre for Marine Research); Vardakas, Leonidas (Hellenic Centre for Marine Research)",3,3,,1.62,,https://app.dimensions.ai/details/publication/pub.1153374126,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,15 Life on Land
4591,pub.1164677957,10.1016/j.scitotenv.2023.167534,37797763,,"Assessing the evolution and attribution of watershed resilience in arid inland river basins, Northwest China","Water scarcity significantly limits the sustainable development of oasis economies in arid inland river basins. Quantifying watershed resilience and its drivers is a major focus in the fields of hydrology and water resources. In this study, the resilience indicator pi represents watershed resilience, while meteorological, hydrological, socioeconomic, and ecological factors are used to investigate the spatial and temporal patterns of resilience and important driving factors in the Hotan River Basin from 1958 to 2020 by combining principal component analysis and random forest model. Results show that the overall resilience of the Hotan River Basin is low, decreasing from the upper (upstream) to the middle and lower (downstream) reaches, and that the intensity of human activities has a negative impact on resilience. Rivers are more likely to reach maximum resilience after experiencing periods of wet and dry conditions, although there is a lag in this progress. The random forest machine learning algorithm was used to accurately predict the resilience levels of the two upstream tributaries Yurungkash and Karakash Rivers, and the downstream Hotan River, with classification accuracies of 84.2 %, 71.4 %, and 87 %, respectively. The factors affecting the resilience of the Yurungkash River are the 30-day maximum, base flow index, low pulse duration, median streamflow in May, median streamflow in August, median streamflow in October, and 7-day maximum. The set of factors used to classify the resilience of the Karakash River include the 7-day maximum, 1-day maximum, median streamflow in June, 30-day maximum, 3-day maximum, median streamflow in February, and autumn temperature. The factors affecting the resilience of the Hotan River are the watershed inflow, Xiaota station runoff, population growth rate, and effective irrigated area. The findings of this study provide a theoretical basis for integrated water resource management and the sustainable development of the oasis economy in the Hotan River Basin.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare that this manuscript is original, has not been published before and is not currently being considered for publication elsewhere. The authors confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. We further confirm that the order of authors listed in the manuscript has been approved by all of us. Acknowledgements This research was supported by the West Light Foundation of Chinese Academy of Sciences (2021-XBQNXZ-007), National Natural Science Foundation of China (42171041) and National Natural Science Foundation of China-Xinjiang Joint Fund (U1903116).",,The Science of The Total Environment,,,,2023-10-04,2023,2023-10-04,2024-01,906,,167534,All OA; Bronze,Article,"Wang, Yuehui; Shi, Fengzhi; Yao, Peng; Sheng, Yu; Zhao, Chengyi","Wang, Yuehui (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China.); Shi, Fengzhi (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: shifz@ms.xjb.ac.cn.); Yao, Peng (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China.); Sheng, Yu (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China.); Zhao, Chengyi (School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.)","Shi, Fengzhi (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: shifz@ms.xjb.ac.cn.; University of Chinese Academy of Sciences)","Wang, Yuehui (Xinjiang Institute of Ecology and Geography; Nanjing University); Shi, Fengzhi (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: shifz@ms.xjb.ac.cn.; University of Chinese Academy of Sciences); Yao, Peng (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China.; University of Chinese Academy of Sciences); Sheng, Yu (Xinjiang Institute of Ecology and Geography; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China; Akesu National Station of Observation and Research for Oasis Agro-ecosystem, Akesu 843017, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China.; University of Chinese Academy of Sciences); Zhao, Chengyi (Nanjing University of Information Science and Technology)",2,2,,,https://doi.org/10.1016/j.scitotenv.2023.167534,https://app.dimensions.ai/details/publication/pub.1164677957,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4588,pub.1144649264,10.1007/s40201-021-00760-4,35669838,PMC9163274,"Using Artificial Intelligent to Model Predict the Biological Resilience With an Emphasis on Population of cyanobacteria in Jajrood River in The Eastern Tehran, Iran","Prediction of bio-resilience in water resources such as rivers is important for better management of land-use systems and water resources. This study has proposed the use of artificial intelligent (AI) models for assessing the relationship among the biological conditions in Jajrood River. For this purpose, the qualitative monthly data of the river related to 2008–2018 were applied. Different resilience indicators for preparation of scenarios were determined using the canonical correlation analysis (CCA) method. Appropriate time-series scenarios (5scenarios) were modelled via Gene Expression Programming (GEP) plus Support Vector Machine (SVM), the bio-indicators were predicted. In order to reduce the error, the wavelet hybrids (W-GEP and W-SVM) were also used for modelling. Validation of the models was performed using Nash–Sutcliffe efficiency (E), root mean square error (RMSE), and mean‏ absolute error (MAE). In all the models investigated, Scenario 3 and Scenario 4 had the highest and lowest accuracies as 0.98 and 0.33 in validation, respectively. The third scenario combined with NO3 −, BODt-1, BOD, PO3−, and Q provided the best results. Then, the values of 0.98, 0.94, 0.82, and 0.78 were obtained for its validation by WSVM, WGEP, SVM, and GEP models, respectively. These findings suggested the superiority of hybrid models and SVM over classical models and GEP in water quality assessment respectively. Examination of the scenarios revealed that NO3− and DO had the highest and the lowest impact on Shannon index of Cyanophyceae algae over time, as a bio-indicator of water quality in the river, respectively.","This research has been supported by the, Islamic Azad University, Tehran, Iran and the authors would like to tanks the financial support from the research Grant number (98-03-46-43693).",,Journal of Environmental Health Science and Engineering,,,,2022-01-13,2022,2022-01-13,2022-06,20,1,123-138,All OA; Green,Article,"Jafarzadeh, Naghmeh; Mirbagheri, S. Ahmad; Rajaee, Taher; Danehkar, Afshin; Robati, Maryam","Jafarzadeh, Naghmeh (Department of Environmental Science, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran); Mirbagheri, S. Ahmad (Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran); Rajaee, Taher (Department of Civil Engineering, University of Qom, Qom, Iran); Danehkar, Afshin (Faculty of Natural Resources, University of Tehran, Karaj, Iran); Robati, Maryam (Department of Environmental Science, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran)","Mirbagheri, S. Ahmad (K.N.Toosi University of Technology)","Jafarzadeh, Naghmeh (Islamic Azad University, Science and Research Branch); Mirbagheri, S. Ahmad (K.N.Toosi University of Technology); Rajaee, Taher (University of Qom); Danehkar, Afshin (University of Tehran); Robati, Maryam (Islamic Azad University, Science and Research Branch)",1,1,0.41,0.33,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163274,https://app.dimensions.ai/details/publication/pub.1144649264,40 Engineering; 4004 Chemical Engineering; 4011 Environmental Engineering; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4587,pub.1166093451,10.1016/j.scitotenv.2023.168550,37979857,,The impact of human activities on blue-green water resources and quantification of water resource scarcity in the Yangtze River Basin,"Under the influence of climate change and human activities, water scarcity and uneven spatial distribution have become critical factors constraining societal development and threatening ecological security. Accurately assessing changes in blue and green water resources (BW and GW) caused by human activities can reveal the actual situation of water scarcity. However, previous research often overlooked the calibration of GW and human water usage, and it rarely delved into the primary human factors leading to water scarcity and potential impact mechanisms. Therefore, based on the PCR-GLOBWB model that considers human impacts, and with reasonable calibration of B/GW and human water usage, hydrological processes were simulated under both human-influenced and natural conditions. A comprehensive assessment of the impact of human activities on BW and GW was conducted. The results show that: (1) BW and GW exhibit a spatial pattern of increasing from northwest to southeast in the basin. From 1961 to 2020, the proportion of BW showed an upward trend, while GW was decreasing; (2) The impact of human activities on changes in water resources is mainly concentrated in the midstream and dowmstream of the basin. Due to human influences, the green water flow (GWF) increased by 3-24.4 mm, and the BW volume increased by 67.2-146.4 mm. However, the green water storage (GWS) decreased by 5.6-75.4 mm; (3) The impact of human activities on blue water scarcity (BWscarcity) is significantly greater than green water scarcity (GWscarcity). The worsening of GWscarcity does not exceed 0.2, while areas where BW reaches significant deterioration (BWscarcity > 1.5) account for 1.3 %, 9.8 %, and 17 % of the upstream, midstream and downstream, respectively. (4) Irrigation activities are the main factor causing water resource scarcity. In the future, it is important to reasonably develop the potential for GW utilization and optimize BW management measures to address water resource crises.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This work was supported by the National Natural Science Foundation of China (Grant No. 52079036 and U2243203), the Fundamental Research Funds for the Central Universities (Grants No. B220201011), and the Natural Science Foundation of Jiangsu Province (Grant No. BK20210368). The authors are grateful to the Editor and anonymous reviewers for their constructive comments.",,The Science of The Total Environment,,,Humans; Water Resources; Water Insecurity; Rivers; Water; Human Activities; China,2023-11-17,2023,2023-11-17,2024-01,909,,168550,Closed,Article,"Wu, Fan; Yang, Xiaoli; Cui, Zhouyu; Ren, Liliang; Jiang, Shanhu; Liu, Yi; Yuan, Shanshui","Wu, Fan (The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China.); Yang, Xiaoli (The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China.); Cui, Zhouyu (The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China.); Ren, Liliang (The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China.); Jiang, Shanhu (The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China.); Liu, Yi (The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China.); Yuan, Shanshui (The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing, China; Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources, Hohai University, Nanjing, China. Electronic address: yuanshanshui@hhu.edu.cn.)","Yuan, Shanshui (Hohai University)","Wu, Fan (Hohai University); Yang, Xiaoli (Hohai University); Cui, Zhouyu (Hohai University); Ren, Liliang (Hohai University); Jiang, Shanhu (Hohai University); Liu, Yi (Hohai University); Yuan, Shanshui (Hohai University)",3,3,,,,https://app.dimensions.ai/details/publication/pub.1166093451,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology,6 Clean Water and Sanitation
4586,pub.1148894160,10.1371/journal.pone.0270285,35737730,PMC9223338,"Identifying corridors of river recovery in coastal NSW Australia, for use in river management decision support and prioritisation systems","By connecting corridors of river recovery, resilience can be built into river systems to mitigate against future floods and droughts driven by anthropogenic disturbance or climate extremes. However, identifying where these corridors can be built is still lacking in river management practice. The Open Access NSW River Styles database contains comprehensive information on geomorphic river condition and recovery potential. The database can be used to systematically analyse where corridors of river recovery could be created via conservation or rehabilitation. Analysis was undertaken in ArcGIS using the recovery potential layer along 84,342 km of freshwater stream length, across 20 catchments of coastal NSW. We identified 4,905 km of reach connections, defined as an upstream to downstream section of river that is connected end-to-end, and 17,429 km of loci connections defined as more isolated sections of river from which recovery can be seeded and extended into adjacent reaches. There was significant spatial variability in the types and lengths of connections made across the catchments. Some catchments have significant potential to build corridors of recovery along large sections of river, whereas other catchments are more fragmented. These results provide practitioners with a user-friendly distillation of where river conservation and rehabilitation activities could be focussed when working with river recovery in practice. Combined with local on-ground knowledge, this information forms an important input to evidence-based prioritisation and decision making in river management.",We thank the NSW Department of Planning and Environment for access to the River Styles database and Bradley Graves for GIS assistance.,"This work is funded by an Australian Research Council Linkage LP190100314 project led by KF with industry partners Landcare Australia and Hunter Local Land Services. DA is supported by a Macquarie University Research Excellence Scholarship (MQRES). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Gabriela Ioana-Toroimac,Australia; Conservation of Natural Resources; Floods; Fresh Water; Rivers,2022-06-23,2022,2022-06-23,,17,6,e0270285,All OA; Gold,Article,"Agnew, Danelle; Fryirs, Kirstie","Agnew, Danelle (School of Natural Sciences, Macquarie University, North Ryde, NSW, Australia); Fryirs, Kirstie (School of Natural Sciences, Macquarie University, North Ryde, NSW, Australia)","Agnew, Danelle (Macquarie University)","Agnew, Danelle (Macquarie University); Fryirs, Kirstie (Macquarie University)",4,4,0.51,1.74,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270285&type=printable,https://app.dimensions.ai/details/publication/pub.1148894160,37 Earth Sciences; 41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4104 Environmental Management,15 Life on Land
4581,pub.1121992107,10.1038/s41597-019-0243-y,31641130,PMC6805875,A data set of global river networks and corresponding water resources zones divisions,"As basic data, the river networks and water resources zones (WRZ) are critical for planning, utilization, development, conservation and management of water resources. Currently, the river network and WRZ of world are most obtained based on digital elevation model data automatically, which are not accuracy enough, especially in plains. In addition, the WRZ code is inconsistent with the river network, hindering the efficiency of data in hydrology and water resources research. Based on the global 90-meter DEM data combined with a large number of auxiliary data, this paper proposed a series of methods for generating river network and water resources zones, and then obtained high-precision global river network and corresponding WRZs at level 1 to 4. The dataset provides generated rivers with high prevision and more accurate position, reasonable basin boundaries especially in inland and plain area, also the first set of global WRZ at level 1 to 4 with unified code. It can provide an important basis and support for reasonable use of water resources and sustainable social development in the world.","The researchers would like to extend their thanks to the National Key Research and Development Program of China (No. 2016YFA0601503), National Natural Science Foundation of China (No. 91547209, No. 51725905, No. 41571037 and No. 51879276).",,Scientific Data,,,,2019-10-22,2019,2019-10-22,,6,1,219,All OA; Gold,Article,"Yan, Denghua; Wang, Kun; Qin, Tianling; Weng, Baisha; Wang, Hao; Bi, Wuxia; Li, Xiangnan; Li, Meng; Lv, Zhenyu; Liu, Fang; He, Shan; Ma, Jun; Shen, Zhenqian; Wang, Jianwei; Bai, Heng; Man, Zihao; Sun, Congwu; Liu, Meiyu; Shi, Xiaoqing; Jing, Lanshu; Sun, Ruochen; Cao, Shuang; Hao, Cailian; Wang, Lina; Pei, Mengtong; Dorjsuren, Batsuren; Gedefaw, Mohammed; Girma, Abel; Abiyu, Asaminew","Yan, Denghua (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Wang, Kun (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Qin, Tianling (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Weng, Baisha (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Wang, Hao (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Bi, Wuxia (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Li, Xiangnan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Li, Meng (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Lv, Zhenyu (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Liu, Fang (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); He, Shan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Ma, Jun (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Shen, Zhenqian (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Wang, Jianwei (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Bai, Heng (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Man, Zihao (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Sun, Congwu (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Liu, Meiyu (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Shi, Xiaoqing (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Jing, Lanshu (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Sun, Ruochen (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Cao, Shuang (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Hao, Cailian (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Wang, Lina (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Pei, Mengtong (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Dorjsuren, Batsuren (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Gedefaw, Mohammed (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Girma, Abel (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China); Abiyu, Asaminew (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), 100038, Beijing, China)","Wang, Kun (China Institute of Water Resources and Hydropower Research); Bi, Wuxia (China Institute of Water Resources and Hydropower Research)","Yan, Denghua (China Institute of Water Resources and Hydropower Research); Wang, Kun (China Institute of Water Resources and Hydropower Research); Qin, Tianling (China Institute of Water Resources and Hydropower Research); Weng, Baisha (China Institute of Water Resources and Hydropower Research); Wang, Hao (China Institute of Water Resources and Hydropower Research); Bi, Wuxia (China Institute of Water Resources and Hydropower Research); Li, Xiangnan (China Institute of Water Resources and Hydropower Research); Li, Meng (China Institute of Water Resources and Hydropower Research); Lv, Zhenyu (China Institute of Water Resources and Hydropower Research); Liu, Fang (China Institute of Water Resources and Hydropower Research); He, Shan (China Institute of Water Resources and Hydropower Research); Ma, Jun (China Institute of Water Resources and Hydropower Research); Shen, Zhenqian (China Institute of Water Resources and Hydropower Research); Wang, Jianwei (China Institute of Water Resources and Hydropower Research); Bai, Heng (China Institute of Water Resources and Hydropower Research); Man, Zihao (China Institute of Water Resources and Hydropower Research); Sun, Congwu (China Institute of Water Resources and Hydropower Research); Liu, Meiyu (China Institute of Water Resources and Hydropower Research); Shi, Xiaoqing (China Institute of Water Resources and Hydropower Research); Jing, Lanshu (China Institute of Water Resources and Hydropower Research); Sun, Ruochen (China Institute of Water Resources and Hydropower Research); Cao, Shuang (China Institute of Water Resources and Hydropower Research); Hao, Cailian (China Institute of Water Resources and Hydropower Research); Wang, Lina (China Institute of Water Resources and Hydropower Research); Pei, Mengtong (China Institute of Water Resources and Hydropower Research); Dorjsuren, Batsuren (China Institute of Water Resources and Hydropower Research); Gedefaw, Mohammed (China Institute of Water Resources and Hydropower Research); Girma, Abel (China Institute of Water Resources and Hydropower Research); Abiyu, Asaminew (China Institute of Water Resources and Hydropower Research)",28,16,0.32,6.96,https://www.nature.com/articles/s41597-019-0243-y.pdf,https://app.dimensions.ai/details/publication/pub.1121992107,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology,
4578,pub.1120185760,10.1007/s00267-019-01186-3,31392395,,Predicting Farmer Adoption of Water Conservation Practices Using a Norm-based Moral Obligation Model,"This study examines the social-psychological drivers of conservation practice adoption among farmers in Minnesota. Specifically, it applies a moral obligation model to understand farmer decision-making related to water resource management, focusing in particular on conservation tillage and drainage management. Data were collected through a self-administered mail survey of 1500 landowners in two subwatersheds of the Red River Basin: Wild Rice River and Middle Snake-Tamarac Rivers. Data were analyzed using structural equation modeling. Study results demonstrate that farmers’ decisions to adopt conservation practices are influenced by personal norms and perceived ability to protect water resources. Further, beliefs about personal responsibility for water protection, and perceived ability to protect water resources activate personal norms of water protection. Collectivistic and biosphere-altruistic values serve as the basis for the activation of personal norms. Study findings suggest that a combination of behavioral intervention strategies that provide tailored information about local water resource problems, appeal to farmers’ values, sense of responsibility and personal obligation, and enhance farmers’ ability to use conservation practices may be effective in achieving higher levels of conservation practice adoption.","We would like to thank the Northwest Regional Sustainable Development Partnership, University of Minnesota and the Minnesota Department of Natural Resources for their collaboration. We would especially like to thank Linda Kingery (Executive Director, Northwest Minnesota Sustainable Development Partnership, University of Minnesota, Crookston, MN) and Henry Van Offelen (Principal State Planner, Minnesota Department of Natural Resources, Detroit Lakes, MN) for their invaluable input on study design, participant recruitment, and study outreach. We would also like to thank Bree Duever (Research Assistant, University of Minnesota, St. Paul, MN) for her assistance in data collection and data entry, and Emilee Oyamada (Undergraduate Research Assistant) and Emily Green for reviewing this paper. We are also grateful to the survey respondents. This project was supported by funding from the Northwest Minnesota Foundation, the Northwest Regional Sustainable Development Partnership, University of Minnesota, and the USDA National Institute of Food and Agriculture, Hatch project 229912. Its contents are solely the responsibility of the authors and do not necessarily represent the views of the funders.",,Environmental Management,,,Agriculture; Conservation of Natural Resources; Conservation of Water Resources; Farmers; Humans; Minnesota; Moral Obligations,2019-08-07,2019,2019-08-07,2019-10,64,4,483-496,Closed,Article,"Pradhananga, Amit K.; Davenport, Mae A.","Pradhananga, Amit K. (Department of Forest Resources, Center for Changing Landscapes, University of Minnesota, 1530 Cleveland Avenue N, 55108, St. Paul, MN, USA); Davenport, Mae A. (Department of Forest Resources, Center for Changing Landscapes, University of Minnesota, 1530 Cleveland Avenue N, 55108, St. Paul, MN, USA)","Pradhananga, Amit K. (University of Minnesota)","Pradhananga, Amit K. (University of Minnesota); Davenport, Mae A. (University of Minnesota)",20,15,0.48,9.06,,https://app.dimensions.ai/details/publication/pub.1120185760,38 Economics; 3801 Applied Economics,15 Life on Land
4578,pub.1148087624,10.1016/j.envres.2022.113434,35618008,,"An assessment of climate change impacts on water sufficiency: The case of Extended East Rapti watershed, Nepal","An understanding of water sufficiency provides a basis for informed-planning, development and management of water resources. This study assessed spatio-temporal distribution in water sufficiency in the Extended East Rapti watershed in Nepal. The ""Palika"" (local government unit) is considered as a spatial-scale and seasons and future periods as temporal-scale. The water sufficiency was evaluated based on water sufficiency ratio (WSR) and water stress index (WSI). A hydrological model was developed to simulate water availability. An ensemble of multiple Regional Climate Models was used for assessing climate change impacts. Results showed water sufficiency by mid-century is projected to decrease; WSR by 40% and WSI by 61%. Despite projected decrease in water sufficiency, annually available water resources are projected as sufficient for the demands until the mid-century, however, seasonal variability and scarcity in future is projected in most Palikas. Such results are useful for water security planning in the Palikas.","The authors would like to acknowledge the International Development Research Center (IDRC), Canada for funding this research; the South Asia Consortium for Interdisciplinary Water Resources Studies (SaciWaters), Hyderabad for granting MSc. fellowship of the South Asia Water Leadership programe on climate change (SAWA) to the first author; and Mr. Anoj Khanal for helping with groundwater assessment.",,Environmental Research,,,Climate Change; Hydrology; Nepal; Rivers; Water Resources,2022-05-23,2022,2022-05-23,2022-09,212,Pt D,113434,Closed,Article,"Ray, Anupama; Pandey, Vishnu Prasad; Thapa, Bhesh Raj","Ray, Anupama (International Water Management Institute (IWMI), Nepal; Nepal Engineering College (NEC), Pokhara University, Nepal; Center of Research for Environment, Energy and Water (CREEW), Nepal.); Pandey, Vishnu Prasad (Department of Civil Engineering, Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal; International Water Management Institute (IWMI), Nepal. Electronic address: vishnu.pandey@pcampus.edu.np.); Thapa, Bhesh Raj (Universal Science and Engineering College, Nepal.)","Pandey, Vishnu Prasad (Institute of Engineering; International Water Management Institute)","Ray, Anupama (International Water Management Institute; Pokhara University; International Water Management Institute (IWMI), Nepal; Nepal Engineering College (NEC), Pokhara University, Nepal; Center of Research for Environment, Energy and Water (CREEW), Nepal.); Pandey, Vishnu Prasad (Institute of Engineering; International Water Management Institute); Thapa, Bhesh Raj (Universal Science and Engineering College, Nepal.)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1148087624,31 Biological Sciences; 34 Chemical Sciences; 41 Environmental Sciences,13 Climate Action; 6 Clean Water and Sanitation
4577,pub.1163063973,10.1016/j.envres.2023.116837,37544469,,"Large-scale surface water-groundwater origins and connectivity in the Ordos Basin, China: Insight from hydrogen and oxygen isotopes","The sustainability of water resources is a major challenge for the Ordos Basin and Loess Plateau of China. The basis of effective water management is an understanding of the water cycle process. This study investigated the surface water-groundwater origins and connectivity using stable isotopes (δD and δ18O) of surface water and groundwater in 11 river basins in the Ordos Basin. It was found that the surface water-groundwater origins and hydraulic connection were characterized by regional differences, mainly induced by climatic characteristics, hydrogeological conditions and human activities. Specifically, the impact of thick loess deposits caused surface water and groundwater to take long time to produce a hydraulic connection. In contrast, areas with thin loess deposits and frequent human activities showed a good connectivity between surface water and groundwater. As for water origins, summer precipitation was a common source of surface water and groundwater in the study area, and groundwater discharge was another source of surface water. However, surface water and groundwater were subjected to different degrees of evaporation during receiving precipitation recharge. Notably, thick loess deposits had an impact on groundwater evaporation because both the recharge of precipitation to groundwater and the discharge of groundwater to surface water took a long time. In addition, it was found that frequent human activities (mining, irrigation and urban construction) could weaken the impact of evaporation. This large-scale analysis provided new insights into the origins and connectivity of surface water and groundwater in areas with thick unsaturated zones for water resources management.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgement This work was supported by the start-up funding from Inner Mongolia University (21800–5223731), the National Key RD Program of China (2021YFC3201201), the Inner Mongolia Major science and technology projects (2020ZD0009) and Ordos Science and Technology Xingmeng Action Major Project (2022EEDSKJXM005).",,Environmental Research,,,Humans; Oxygen Isotopes; Hydrogen; Water; Environmental Monitoring; Groundwater; Isotopes; Rivers; China,2023-08-05,2023,2023-08-05,2023-11,236,Pt 2,116837,Closed,Article,"Qu, Shen; Wang, Chenyu; Yang, Nuan; Duan, Limin; Yu, Ruihong; Zhang, Keyi; Li, Muhan; Sun, Pengfei","Qu, Shen (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.); Wang, Chenyu (MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing, 100083, China.); Yang, Nuan (College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, 710054, China. Electronic address: yangnuan@xust.edu.cn.); Duan, Limin (Water and Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, 010018, China. Electronic address: duanlimin820116@163.com.); Yu, Ruihong (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Autonomous Region Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, 010018, China.); Zhang, Keyi (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.); Li, Muhan (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.); Sun, Pengfei (Aohan Banner Reservoir Irrigation District Management Center, Chifeng, 024304, China.)","Yang, Nuan (Xi'an University of Science and Technology); Duan, Limin (Inner Mongolia Agricultural University)","Qu, Shen (Inner Mongolia University); Wang, Chenyu (China University of Geosciences); Yang, Nuan (Xi'an University of Science and Technology); Duan, Limin (Inner Mongolia Agricultural University); Yu, Ruihong (Inner Mongolia University; Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Autonomous Region Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, 010018, China.); Zhang, Keyi (Inner Mongolia University); Li, Muhan (Inner Mongolia University); Sun, Pengfei (Aohan Banner Reservoir Irrigation District Management Center, Chifeng, 024304, China.)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1163063973,31 Biological Sciences; 34 Chemical Sciences; 41 Environmental Sciences,
4574,pub.1106341625,10.1007/s13280-018-1089-9,30145732,PMC6411807,The social dimensions of a river’s environmental quality assessment,"Integrated water resources management, promoted in developed countries, obliges to integrate social aspects with hydrological and ecological dimensions when assessing river quality. To better understand these social aspects, we propose a mixed-method to study public perceptions of an impounded river. Since the 1930s, the management of the Ain river (France) has been challenged by conflicts about the river’s quality. We surveyed (using interviews and mental maps) various stakeholders along the river. The results based on textual and content analysis show variations in the public’s perceptions according to the residence area, practices, and the degree of emotional attachment to the river. The assessment of environmental quality needs to take into account different types of knowledge, sometimes conflicting, that reveal and shape the variety of waterscapes which compose the Ain River. The social dimensions highlight integrated water management’s inherent complexity by considering the river basin as a place to live and by involving multiple stakeholders.","This research project was part of a research program entitled “Living the Ain River: 19th–21st century”, which was funded by the Rhône Basin LITER (Long Term Ecological Research), the Rhône-Méditerranée Water Agency, and Électricité de France (EDF).",,Ambio,,,Environmental Monitoring; France; Hydrology; Rivers; Water Resources,2018-08-25,2018,2018-08-25,2019-04,48,4,409-422,All OA; Green,Article,"Boyer, Anne-Lise; Comby, Emeline; Flaminio, Silvia; Le Lay, Yves-François; Cottet, Marylise","Boyer, Anne-Lise (CNRS UMR 5600 Environnement Ville Société, ENS de Lyon, 15 Parvis René Descartes, University of Lyon, 15 Parvis René Descartes, BP 7000, 69342, Lyon Cedex 07, France); Comby, Emeline (UMR 6049 ThéMA, Université de Franche-Comté, University of Franche-Comté, 32 rue Mégevand, 25030, Besançon Cedex, France); Flaminio, Silvia (CNRS UMR 5600 Environnement Ville Société, ENS de Lyon, 15 Parvis René Descartes, University of Lyon, 15 Parvis René Descartes, BP 7000, 69342, Lyon Cedex 07, France); Le Lay, Yves-François (CNRS UMR 5600 Environnement Ville Société, ENS de Lyon, 15 Parvis René Descartes, University of Lyon, 15 Parvis René Descartes, BP 7000, 69342, Lyon Cedex 07, France); Cottet, Marylise (CNRS UMR 5600 Environnement Ville Société, ENS de Lyon, 15 Parvis René Descartes, University of Lyon, 15 Parvis René Descartes, BP 7000, 69342, Lyon Cedex 07, France)","Boyer, Anne-Lise (École Normale Supérieure de Lyon)","Boyer, Anne-Lise (École Normale Supérieure de Lyon); Comby, Emeline (University of Franche-Comté); Flaminio, Silvia (École Normale Supérieure de Lyon); Le Lay, Yves-François (École Normale Supérieure de Lyon); Cottet, Marylise (École Normale Supérieure de Lyon)",14,5,0.4,2.12,https://europepmc.org/articles/pmc6411807?pdf=render,https://app.dimensions.ai/details/publication/pub.1106341625,41 Environmental Sciences; 4104 Environmental Management,3 Good Health and Well Being
4570,pub.1166880675,10.1016/j.jenvman.2023.119728,38086122,,Dual stable isotopes to rethink the watershed-scale spatiotemporal interaction between surface water and groundwater,"The interaction between groundwater and surface water, including their recharge relationship and ratio, is crucial for water cycling, management, and pollution control. However, accurately estimating their spatiotemporal interaction at the watershed scale remains challenging. In this study, we used dual stable isotopes (δ18O, δ2H, d-excess, and lc-excess) and hydrochemistry methods to rethink spatiotemporal interaction at the Yiluo River watershed in central China. We collected 20 groundwater and 40 surface water samples over four periods in two seasons (dry and wet). Our results showed that in the downstream region, groundwater recharged surface water in the dry season while surface water recharged groundwater in the wet season, with average recharge ratios of 89.82% and 90.02%, respectively. In the midstream region, surface water recharged groundwater in both seasons with average ratios of 93.79% and 91.35%. In contrast, in the upstream region, groundwater recharged surface water in both seasons with ratios of 67.35% and 76.89%. Seasonal changes in the recharge relationship between surface water and groundwater in the downstream region also been found. Our findings provide valuable insights for watershed-scale water resource and pollution management.",,,Journal of Environmental Management,,,"Water; Environmental Monitoring; Groundwater; Isotopes; Rivers; China; Water Pollutants, Chemical",2023-12-12,2023,2023-12-12,2024-02,351,,119728,Closed,Article,"Wang, Xihua; Jia, Shunqing; Xu, Y Jun; Liu, Zejun; Mao, Boyang","Wang, Xihua (College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China; Department of Earth and Environmental Sciences, University of Waterloo, ON, N2L 3G1, Canada. Electronic address: 21531@tongji.edu.cn.); Jia, Shunqing (College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China.); Xu, Y Jun (School of Renewable Natural Resources, Louisiana State University Agricultural Center, 227 Highland Road, Baton Rouge, LA, 70803, USA.); Liu, Zejun (College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China.); Mao, Boyang (College of Civil Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, China.)",,"Wang, Xihua (Tongji University; University of Waterloo); Jia, Shunqing (Tongji University); Xu, Y Jun (Louisiana State University Agricultural Center); Liu, Zejun (Tongji University); Mao, Boyang (Tongji University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1166880675,37 Earth Sciences; 3707 Hydrology,
4566,pub.1150555285,10.1016/j.jenvman.2022.115963,36041299,,Changes of vegetational cover and the induced impacts on hydrological processes under climate change for a high-diversity watershed of south China,"Understanding the changes in hydrological process is a key subject for water resource management of a high-diversity watershed. In this paper, through an establishment of a SWAT-based model, the effects of climate change and its induced vegetation change on hydrological process were analyzed in the East River Basin. The model could well simulate the hydrological processes of the basin including surface runoff (SURQ), groundwater (GWQ), lateral flow (LATQ), total water yield (WYLD), actual evapotranspiration (ET), and groundwater recharge (PERC). Under the vegetation change induced by temperature increase, the effects of the vegetation change on hydrological process were larger than that of the temperature change. Under the vegetation change caused by the increase of temperature and precipitation, the vegetation change enhanced the effects of climate change on annual SURQ, LATQ, GWQ, WYLD, and PERC of the basin. Under spatial scale, when the temperature and precipitation changed simultaneously, the increase of precipitation could promote the increase of annual ET in sub-watersheds. Also, the annual SURQ, WYLD, GWQ and ET in western sub-watersheds were more sensitive to the cumulative changes of vegetation and climate. This work can provide useful information to decision makers in water resource management of watersheds.","This project was supported by the Key-Area Research and Development Program of Guangdong Province (2020B1111380003), the National Natural Science Foundation of China (U20A20117, 52109008), and the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0403). We would also like to thank anonymous reviewers and editors for their helpful comments and suggestions on improving the manuscript.",,Journal of Environmental Management,,,China; Climate Change; Hydrology; Rivers; Water; Water Movements,2022-08-27,2022,2022-08-27,2022-11,322,,115963,Closed,Article,"Zhang, Pingping; Cai, Yanpeng; He, Yanhu; Xie, Yulei; Zhang, Xiaodong; Li, Zoe","Zhang, Pingping (College of Water Conservancy and Civil Engineering, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China.); Cai, Yanpeng (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China. Electronic address: yanpeng.cai@gdut.edu.cn.); He, Yanhu (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China.); Xie, Yulei (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China.); Zhang, Xiaodong (School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China.); Li, Zoe (Department of Civil Engineering, McMaster University, Hamilton, L8S 4L7, Ontario, Canada.)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)","Zhang, Pingping (South China Agricultural University; Guangdong University of Technology); Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); He, Yanhu (Guangdong University of Technology); Xie, Yulei (Guangdong University of Technology); Zhang, Xiaodong (Shandong University); Li, Zoe (McMaster University)",7,7,1.22,3.35,,https://app.dimensions.ai/details/publication/pub.1150555285,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action
4559,pub.1137433551,10.1016/j.scitotenv.2021.147285,34088043,,"Evaluation of virtual water trade in the Yellow River Delta, China","Virtual water trade is a method to reallocate water resources among regions, implementing virtual water strategy can alleviate the shortage of water resources. In the context of ecological protection and high-quality development of the Yellow River Basin, the evaluation of virtual water trade between the Yellow River Delta and other regions can provide decision support for the formulation of virtual water strategies and the promotion of high-quality development of the Yellow River Basin. This study used the 2012 multi-regional input-output table to calculate the volume of virtual water in trade between the Yellow River Delta and other provinces, and assessed the degree of dependence of the Yellow River Delta on external water resources. Research results indicated that virtual water trade exacerbates the shortage of water resources in the Yellow River Delta because virtual water export was greater than import. Specifically, agriculture was the most important virtual water export sector with an export of 117.2 kilosteres and the largest direction of virtual water was to the Northwest Region (45.4%). We suggest several strategies for virtual water management and high-quality development of the Yellow River Delta: (1) Implement virtual water trade strategy; (2) Reducing water export and promoting the competitiveness of water consumption by emerging industries; (3) Setting up an effective policy of virtual water compensation.",This research was financially supported by the National Natural Science Foundation of China (Grant No. 72004215; 71974070).,,The Science of The Total Environment,,,,2021-04-23,2021,2021-04-23,2021-08,784,,147285,Closed,Article,"Zhang, Fan; Jin, Gui; Liu, Gang","Zhang, Fan (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.); Jin, Gui (School of Economics and Management, China University of Geosciences, Wuhan 430074, China. Electronic address: jingui@igsnrr.ac.cn.); Liu, Gang (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100149, China.)","Jin, Gui (China University of Geosciences)","Zhang, Fan (Institute of Geographic Sciences and Natural Resources Research); Jin, Gui (China University of Geosciences); Liu, Gang (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences)",41,38,1.55,25.31,,https://app.dimensions.ai/details/publication/pub.1137433551,37 Earth Sciences; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4549,pub.1148176401,10.1007/s10745-022-00325-5,35637689,PMC9134714,Deconstructing Ecosystem Service Conflicts through the Prisms of Political Ecology and Game Theory in a North-Western Mediterranean River Basin,"Power relationships, access and control, (in)equity, and (in)justice are key modulators of conflicts arising from ecosystem services between multiple stakeholders. A greater knowledge of stakeholder value systems and behaviors is crucial for understanding socioecological dynamics. We propose an analytical framework that combines political ecology and game theory to analyze water ecosystem services. This integrated framework was used to reinterpret concepts such as common goods, (a)symmetric flows, and (un)fair trade-offs in the context of ecosystem services. The purpose was to gain a better understanding of behaviors and (a)symmetries in power relationships between multiple stakeholders. We studied the case of a north-western Mediterranean river basin using data obtained from stakeholder interviews and newspaper articles. Our findings uncovered different types of stakeholder relationships, ranging from mutual support and cooperation to conflict. The proposed analytical framework shows how social mechanisms can affect ecosystem services flows, potentially facilitating or hindering the development of more equitable management models for natural resources.",,Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This study was funded with the financial support of the Spanish Ministry of Economy and Competitiveness through the project “Incentives and barriers to water conservation in the tourism sector. Analysis and proposals for efficient water management” (CSO2016-75740-P).,Human Ecology,,,,2022-05-26,2022,2022-05-26,2022-06,50,3,477-492,All OA; Hybrid,Article,"Garau, Enrica; Pueyo-Ros, Josep; Vila-Subiros, Josep; Palom, Anna Ribas","Garau, Enrica (Department of Geography, Institute of Environment, IMA-UdG, University of Girona, 17071, Girona, Spain); Pueyo-Ros, Josep (Department of Geography, Institute of Environment, IMA-UdG, University of Girona, 17071, Girona, Spain; ICRA, Catalan Institute for Water Research, 17003, Girona, Spain); Vila-Subiros, Josep (Department of Geography, Institute of Environment, IMA-UdG, University of Girona, 17071, Girona, Spain); Palom, Anna Ribas (Department of Geography, Institute of Environment, IMA-UdG, University of Girona, 17071, Girona, Spain)","Garau, Enrica (University of Girona)","Garau, Enrica (University of Girona); Pueyo-Ros, Josep (University of Girona; Catalan Institute for Water Research); Vila-Subiros, Josep (University of Girona); Palom, Anna Ribas (University of Girona)",4,4,,1.88,https://link.springer.com/content/pdf/10.1007/s10745-022-00325-5.pdf,https://app.dimensions.ai/details/publication/pub.1148176401,41 Environmental Sciences; 4104 Environmental Management,"16 Peace, Justice and Strong Institutions"
4540,pub.1043709955,10.1016/j.scitotenv.2014.01.038,24530590,,Evaluation of dams and weirs operating for water resource management of the Geum River,"As part of the Four Major Rivers Restoration Project, 16 multi-functional weirs have recently been constructed in each river system in Korea. The Project has pursued ecological approaches through constructing artificial weirs in waterways to ensure sufficient flow even in the dry seasons, improving agricultural reservoirs to supply environmental flow for the rivers, and thereby enhancing the water quality of the rivers. However, these anthropogenic activities have been accompanying a significant change in the riverine environment. In this study, the SSARR (Streamflow Synthesis and Reservoir Regulation) model was used to estimate natural flow in the 14 sub-basins of the Geum River. The natural flow determined by the SSARR model was used in estimation of environmental flow and input data of reservoir operation model. Hec-ResSim was used to assess runoff variations, water supply and energy generation based on the protocols for the associated operation of dams and multi-functional weirs. In addition to this, a method developed by the IWMI (International Water Management Institute) was also used to analyze the environmental flow, considering channels, water fronts and flow variations, and thereby assess the environmental management class of changing the riverine environment and to take countermeasures to mitigate the resulting adverse environmental impacts. It is hoped that the results of this study will provide basic data to establish policies for the effective operation and management of the existing dams and the newly constructed multi-functional weirs, and the effective monitoring and preservation of aquatic ecosystems in the Geum River basin.",,,The Science of The Total Environment,,,Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Power Plants; Republic of Korea; Rivers; Water Movements; Water Resources,2014-02-12,2014,2014-02-12,2014-04,478,,103-115,Closed,Article,"Ahn, Jung Min; Lee, Sangjin; Kang, Taeuk","Ahn, Jung Min (Nakdong River Water Environmental Research Center, 24, Pyeongri-1gil, Dasan-myeon, Goryeong-gun, Gyeongsangbuk-do 717-873, Republic of Korea); Lee, Sangjin (K-water Research Institute, 125, Yuseong-daero 1689 beon-gil, Yuseong-gu, Daejeon 305-730, Republic of Korea); Kang, Taeuk (K-water Research Institute, 125, Yuseong-daero 1689 beon-gil, Yuseong-gu, Daejeon 305-730, Republic of Korea)","Lee, Sangjin (K Water)","Ahn, Jung Min (Nakdong River Water Environmental Research Center, 24, Pyeongri-1gil, Dasan-myeon, Goryeong-gun, Gyeongsangbuk-do 717-873, Republic of Korea); Lee, Sangjin (K Water); Kang, Taeuk (K Water)",39,8,0.42,4.67,,https://app.dimensions.ai/details/publication/pub.1043709955,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,
4535,pub.1167123408,10.1016/j.scitotenv.2023.169405,38123083,,The water-energy-food-ecosystem nexus in the Danube River Basin: Exploring scenarios and implications of maize irrigation,"The Water-Energy-Food-Ecosystem (WEFE) nexus concept postulates that water, energy production, agriculture and ecosystems are closely interlinked. In transboundary river basins, different sectors and countries compete for shared water resources. In the Danube River Basin (DRB), possible expansion of agricultural irrigation is expected to intensify water competition in the WEFE nexus, however, trade-offs have not yet been quantified. Here, we quantified trade-offs between agriculture, hydropower and (aquatic) ecosystems in the DRB resulting from maize irrigation when irrigation water was withdrawn from rivers. Using the process-based hydro-agroecological model PROMET, we simulated three maize scenarios for the period 2011-2020: (i) rainfed; (ii) irrigated near rivers without considering environmental flow requirements (EFRs); (iii) irrigated near rivers with water abstractions complying with EFRs. Maize yield and water use efficiency (WUE) increased by 101-125 % and 29-34 % under irrigation compared to rainfed cultivation. Irrigation water withdrawals from rivers resulted in moderate to severe discharge reductions and, without consideration of EFRs, to substantial EFR infringements. Annual hydropower production decreased by 1.0-1.9 % due to discharge reductions. However, the financial turnover increase in agriculture (5.8-7.2 billion €/a) was two orders of magnitude larger than the financial turnover decrease in hydropower (23.9-47.8 million €/a), making water more profitable in agriculture. Irrigation WUE was highest for EFR-compliant irrigation, indicating that maintaining EFRs is economically beneficial and that improving WUE is key to attenuating nexus water competition. Current maize production could be met on the most productive 35-41 % of current maize cropland under irrigation, allowing 59-65 % to be returned to nature without loss of production. Maize priority areas were on fertile lowlands near major rivers, while biodiversity priority areas were on marginal cropland of highest biodiversity intactness. Our quantitative trade-off analysis can help identifying science-based pathways for sustainable WEFE nexus management in the DRB, also in light of climate change.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This research was funded by the Federal Ministry of Education and Research (BMBF) as part of the project “Virtual Water Values (ViWA)” [grant number 02WGR1423A] within the framework of the research initiative “Water as a Global Resource (GRoW)”. We would like to thank Dr. Heike Bach from VISTA Inc. in Munich for her very valuable contributions to the calculation of hydropower production and turnover. We also thank Marco Maier for his assistance in compiling the hydropower plant dataset. Three anonymous reviewers provided very helpful comments and suggestions on an earlier draft of the manuscript, which we greatly appreciate.",,The Science of The Total Environment,,,Ecosystem; Zea mays; Rivers; Water; Agriculture; Agricultural Irrigation,2023-12-19,2023,2023-12-19,2024-03,914,,169405,Closed,Article,"Probst, Elisabeth; Fader, Marianela; Mauser, Wolfram","Probst, Elisabeth (Department of Geography, Ludwig-Maximilians-Universität München (LMU), Luisenstraße 37, D-80333 Munich, Germany. Electronic address: elisabeth.probst@iggf.geo.uni-muenchen.de.); Fader, Marianela (Department of Geography, Ludwig-Maximilians-Universität München (LMU), Luisenstraße 37, D-80333 Munich, Germany.); Mauser, Wolfram (Department of Geography, Ludwig-Maximilians-Universität München (LMU), Luisenstraße 37, D-80333 Munich, Germany; VISTA Inc., Gabelsbergerstraße 51, D-80333 Munich, Germany.)","Probst, Elisabeth (Ludwig-Maximilians-Universität München)","Probst, Elisabeth (Ludwig-Maximilians-Universität München); Fader, Marianela (Ludwig-Maximilians-Universität München); Mauser, Wolfram (Ludwig-Maximilians-Universität München; Department of Geography, Ludwig-Maximilians-Universität München (LMU), Luisenstraße 37, D-80333 Munich, Germany; VISTA Inc., Gabelsbergerstraße 51, D-80333 Munich, Germany.)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1167123408,"30 Agricultural, Veterinary and Food Sciences; 37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics",2 Zero Hunger; 7 Affordable and Clean Energy
4534,pub.1048839997,10.1007/s10661-015-5016-2,26643812,,Comparison of seven water quality assessment methods for the characterization and management of highly impaired river systems,"In the context of water resource management and pollution control, the characterization of water quality impairments and identification of dominant pollutants are of critical importance. In this study, water quality impairment was assessed on the basis of 7 hydrochemical variables that were monitored bimonthly at 17 sites in 2010 along the rural-suburban-urban portion of the Wen-Rui Tang River in eastern China. Seven methods were used to assess water quality in the river system. These methods included single-factor assessment, water quality grading, comprehensive pollution index, the Nemerow pollution index, principle component analysis, fuzzy comprehensive evaluation, and comprehensive water quality identification index. Our analysis showed that the comprehensive water quality identification index was the best method for assessing water quality in the Wen-Rui Tang River due to its ability to effectively characterize highly polluted waters with multiple impairments. Furthermore, a guideline for the applications of these methods was presented based on their characteristics and efficacy. Results indicated that the dominant pollutant impairing water quality was total nitrogen comprised mainly of ammonium. The temporal variation of water quality was closely related to precipitation as a result of dilution. The spatial variation of water quality was associated with anthropogenic influences (urban, industrial, and agriculture activities) and water flow direction (downstream segments experiencing cumulative effects of upstream inputs). These findings provide valuable information and guidance for water pollution control and water resource management in highly polluted surface waters with multiple water quality impairments in areas with rapid industrial growth and urbanization.",The authors would like to acknowledge the funding support from a project of the Science and Technology Department of Zhejiang Province (award number 2008C03009). We are also thankful to the Wenzhou Environmental Protection Agency for the data provided for the Wen-Rui Tang River.,,Environmental Monitoring and Assessment,,,China; Conservation of Natural Resources; Environmental Monitoring; Hazardous Substances; Nitrogen; Rivers; Water Pollution; Water Quality,2015-12-07,2015,2015-12-07,2016-01,188,1,15,All OA; Green,Article,"Ji, Xiaoliang; Dahlgren, Randy A.; Zhang, Minghua","Ji, Xiaoliang (Institute of Wenzhou Applied Technology in Environmental Research, Wenzhou Medical University, 325035, Wenzhou, China; Southern Zhejiang Water Research Institute, 325035, Wenzhou, China); Dahlgren, Randy A. (Institute of Wenzhou Applied Technology in Environmental Research, Wenzhou Medical University, 325035, Wenzhou, China; Southern Zhejiang Water Research Institute, 325035, Wenzhou, China; Department of Land, Air and Water Resources, University of California Davis, 95616, Davis, CA, USA); Zhang, Minghua (Institute of Wenzhou Applied Technology in Environmental Research, Wenzhou Medical University, 325035, Wenzhou, China; Southern Zhejiang Water Research Institute, 325035, Wenzhou, China; Department of Land, Air and Water Resources, University of California Davis, 95616, Davis, CA, USA)","Zhang, Minghua (Wenzhou Medical University; Southern Zhejiang Water Research Institute, 325035, Wenzhou, China; University of California, Davis)","Ji, Xiaoliang (Wenzhou Medical University; Southern Zhejiang Water Research Institute, 325035, Wenzhou, China); Dahlgren, Randy A. (Wenzhou Medical University; Southern Zhejiang Water Research Institute, 325035, Wenzhou, China; University of California, Davis); Zhang, Minghua (Wenzhou Medical University; Southern Zhejiang Water Research Institute, 325035, Wenzhou, China; University of California, Davis)",61,23,1.89,7.28,https://escholarship.org/content/qt9cw097br/qt9cw097br.pdf?t=o22sab,https://app.dimensions.ai/details/publication/pub.1048839997,41 Environmental Sciences; 4104 Environmental Management,
4533,pub.1154426156,10.1016/j.chemosphere.2023.137838,36642142,,"Occurrence and distribution of geochemical elements in Miri estuary, NW Borneo: Evaluating for processes, sources and pollution status","In this study, estuarine water samples were collected at diverse hot spots in Miri River Estuary, East Malaysia to appraise the geochemical processes, which controls the river water quality. The collected water samples were analysed for various physicochemical parameters (insitu parameters, nutrients, major ions and trace metals), including stable isotopes (oxygen and hydrogen). Suspended solids are also extracted from the water samples and analysed for trace metals. Standard graphs, Piper plot, Gibbs diagram, water quality indices, geochemical modelling and statistical analysis were used for the data analysis. The acquired water quality data was compared with national and international guidelines for the suitability of water for various purposes. Interpretation of data reveals that the estuarine water quality is deemed unsuitable to be used for both drinking and irrigation purposes. Overall, the elemental concentrations are increasing from downstream to river mouth. Based on pollution indices (HEI and Cd), downstream region shows high vulnerability to metal pollution due to anthropogenic disturbance. Isotope values of river water indicate direct atmospheric precipitation with minimal evaporation. Factor analysis reveals that seawater influx, urban pollution, domestic and agricultural discharges at the downstream region are the main controlling factors to the river water quality. It is also deduced that suspended solids play a vital role in the adsorption and desorption of trace metals in the estuarine water. The outcome of this study provides a comprehensive information on pollution status of Miri estuary, which helps the policy makers to practice sustainable management of this water resource for Miri community.","This research was supported by Ministry of Education (MOE), Malaysia through Fundamental Research Grant Scheme (FRGS/1/2020/STG08/CURTIN/02/1).",,Chemosphere,,,"Estuaries; Environmental Monitoring; Water Pollutants, Chemical; Borneo; Water Quality; Isotopes; Trace Elements; Metals, Heavy",2023-01-12,2023,2023-01-12,2023-03,316,,137838,All OA; Hybrid,Article,"Suresh Raj, Parvin Raj; Mohan Viswanathan, Prasanna","Suresh Raj, Parvin Raj (Department of Applied Sciences, Faculty of Engineering and Science, Curtin University, Malaysia, CDT 250, 98009, Miri, Sarawak, Malaysia.); Mohan Viswanathan, Prasanna (Department of Applied Sciences, Faculty of Engineering and Science, Curtin University, Malaysia, CDT 250, 98009, Miri, Sarawak, Malaysia. Electronic address: prasanna@curtin.edu.my.)","Mohan Viswanathan, Prasanna (Curtin University, Malaysia)","Suresh Raj, Parvin Raj (Curtin University, Malaysia); Mohan Viswanathan, Prasanna (Curtin University, Malaysia)",8,8,,,https://doi.org/10.1016/j.chemosphere.2023.137838,https://app.dimensions.ai/details/publication/pub.1154426156,37 Earth Sciences; 41 Environmental Sciences; 4105 Pollution and Contamination,
4522,pub.1140212364,10.1016/j.jenvman.2021.113421,34365184,,"Toward effective river basin management (RBM): The politics of cooperation, sustainability, and collaboration in the Delaware River basin","Creating institutions to manage shared waterways at the basin scale, instead of as a patchwork of fragmented political jurisdictions, has long held attraction for water managers and political scientists. Basin-scale planning, management, and governance, the scholarly consensus runs, can promote cooperative management of shared water resources, facilitate management on an ecological rather than political basis, and better engage a diverse set of stakeholders. Yet in practice, River Basin Management (RBM) has proven difficult to institute and often produced disappointing results, being either too weak to be effective or too technocratic. The case of the Delaware River basin in the United States is a noteworthy exception. RBM in the Delaware basin has taken the form of a capable but inclusive inter-jurisdictional commission that has almost eliminated previously widespread conflict between riparian states; generally improved water quality and ecosystem protection; and empowered civil society. Yet this effectiveness stemmed from a messy political process marked by tension and competition between central, state, and local levels of government. Harnessing this tension to forge a durable, adaptable institutional framework proved to be key to the relative success of RBM in the Delaware basin, providing lessons to inform the management of shared watersheds elsewhere.","Declaration of competing interest The author declares no conflicts of interest in respect of this article. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.",,Journal of Environmental Management,,,Conservation of Natural Resources; Delaware; Ecosystem; Politics; Rivers; Water Resources,2021-08-05,2021,2021-08-05,2021-11,298,,113421,Closed,Article,"Moore, Scott","Moore, Scott (Room 122 College Hall, University of Pennsylvania, Philadelphia, PA, 19104, USA. Electronic address: scott.moore@upenn.edu.)",,"Moore, Scott (University of Pennsylvania)",12,10,0.44,10.69,,https://app.dimensions.ai/details/publication/pub.1140212364,44 Human Society; 4407 Policy and Administration; 4408 Political Science,"16 Peace, Justice and Strong Institutions"
4514,pub.1168461064,10.1007/s11356-024-32117-3,38300493,,Diversity and genetic structure of freshwater shark Wallago attu: an emerging species of commercial interest,"Pakistan has natural freshwater resources acting as a hotspot for diverse fish fauna. However, this aquatic fauna is declining at an alarming rate due to over-exploitation, habitat degradation, water pollution, climate change, and certain anthropogenic activities. The freshwater shark, Wallago attu, is a popular edible catfish inhabiting these freshwater ecosystems. Habitat degradation, overfishing, and human activities are heavily impacting the natural population of this species. So, sound knowledge about its population structure is necessary for its proper management in natural waters. The current study involves utilizing two mtDNA markers (COI, Cytb) to assess the genetic structure and differentiation among W. attu populations of Pakistani Rivers. Genetic variability analysis indicated a high haplotype (0.343 ± 0.046–0.870 ± 0.023) and low nucleotide diversity (0.0024 ± 0.012–0.0038 ± 0.018) among single and combined gene sequences, respectively. Overall, River Indus was populated with more diverse fauna of Wallago attu as compared to River Chenab and River Ravi. Population pairwise, Fst values (0.40–0.61) were found to be significantly different (p < 0.01) among three Riverine populations based upon combined gene sequences. The gene flow for the combined gene (COI + Cytb) dataset among three populations was less than 1.0. The transition/transversion bias value R (0.58) was calculated for testing of neutral evolution, and it declared low genetic polymorphism among natural riverine populations of Wallago attu. The current study’s findings would be meaningful in planning the management and conservation of this economically important catfish in future.",,,Environmental Science and Pollution Research,,,Animals; Humans; Ecosystem; Sharks; Conservation of Natural Resources; Fisheries; Fresh Water; Genetic Structures; Catfishes,2024-02-01,2024,2024-02-01,2024-02,31,10,15571-15579,Closed,Article,"Sherzada, Shahid; Hussain, Nimra; Hussain, Ali; El-Tabakh, Mohamed A. M.; Khan, Saeed Akram","Sherzada, Shahid (Department of Zoology, Government College University Lahore, Lahore, Pakistan; Department of Fisheries and Aquaculture, University of Veterinary and Animal Sciences, Lahore, Pakistan); Hussain, Nimra (Department of Fisheries and Aquaculture, University of Veterinary and Animal Sciences, Lahore, Pakistan); Hussain, Ali (Institute of Zoology, University of the Punjab, Lahore, Pakistan); El-Tabakh, Mohamed A. M. (Zoology Department, Faculty of Science, Al-Azhar University, Cairo, Egypt); Khan, Saeed Akram (Department of Zoology, Government College University Lahore, Lahore, Pakistan)","Sherzada, Shahid (Government College University, Lahore; University of Veterinary and Animal Sciences)","Sherzada, Shahid (Government College University, Lahore; University of Veterinary and Animal Sciences); Hussain, Nimra (University of Veterinary and Animal Sciences); Hussain, Ali (University of the Punjab); El-Tabakh, Mohamed A. M. (Al Azhar University); Khan, Saeed Akram (Government College University, Lahore)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168461064,31 Biological Sciences; 3103 Ecology; 3105 Genetics,14 Life Below Water
4502,pub.1153659612,10.1007/s11356-022-24659-1,36525198,,"Coupling coordination and spatiotemporal dynamic evolution of the water-energy-food-land (WEFL) nexus in the Yangtze River Economic Belt, China","The interrelationship between regional water, energy, food, and land systems is extremely complex. Hence, accurately assessing the coupling coordination relationship and identifying the influential factors of the water-energy-food-land nexus (WEFL nexus) are of utmost importance. This study proposes a novel analytical framework and evaluation index system for exploring interactions across the WEFL nexus. The comprehensive benefit evaluation index (CBEI), coupling coordination degree (CCD) model, and obstacle factor diagnosis model are integrated to assess and analyze the coupling coordination relationship and spatiotemporal dynamic evolution of the WEFL nexus in the Yangtze River Economic Belt (YREB) from 2006 to 2020. The results indicated that (1) the CBEI and CCD generally increased from 0.23 to 0.79 and 0.45 to 0.88, respectively, revealing the upward trend of the coordination development levels of the WEFL nexus in the YREB. (2) The lower reaches achieved a relatively higher coordination development degree than the upper and middle reaches of the YREB. (3) The findings of obstacle factors reveal that agricultural non-point source pollution control, waterlogging disaster prevention, industrial solid waste efficient treatment, and urban water-saving are the essential fields that need to be improved in YREB’s future development. This study helps to understand the complex interrelation of the WEFL nexus at different spatial–temporal scales and provides a novel framework that can be used as an evaluation system and policy insights for a region’s integrated resources, environmental management, and green sustainable development.",,"This work is supported by the National Natural Science Foundation of China (no. 52179022, 51909174, and 71974053) and the Fundamental Research Funds for Central Public Welfare Research Institutes (no. Y722003 and Y722007).",Environmental Science and Pollution Research,,,Rivers; Water; China; Conservation of Natural Resources; Sustainable Development; Economic Development; Cities,2022-12-16,2022,2022-12-16,2023-03,30,12,34978-34995,Closed,Article,"Jing, Peiran; Hu, Tiesong; Sheng, Jinbao; Mahmoud, Ali; Liu, Yong; Yang, Dewei; Guo, Lidan; Li, Mingxian; Wu, Yueting","Jing, Peiran (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China; Dam Safety Management Department, Nanjing Hydraulic Research Institute, Guangzhou Road No.225, Gulou District, 210029, Nanjing, People’s Republic of China); Hu, Tiesong (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China); Sheng, Jinbao (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China; Dam Safety Management Department, Nanjing Hydraulic Research Institute, Guangzhou Road No.225, Gulou District, 210029, Nanjing, People’s Republic of China); Mahmoud, Ali (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China); Liu, Yong (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, Wuhan, China); Yang, Dewei (Dam Safety Management Department, Nanjing Hydraulic Research Institute, Guangzhou Road No.225, Gulou District, 210029, Nanjing, People’s Republic of China); Guo, Lidan (Business School, Hohai University, 211100, Nanjing, China); Li, Mingxian (Business School, Hohai University, 211100, Nanjing, China); Wu, Yueting (Business School, Hohai University, 211100, Nanjing, China)","Sheng, Jinbao (Wuhan University; Nanjing Hydraulic Research Institute)","Jing, Peiran (Wuhan University; Nanjing Hydraulic Research Institute); Hu, Tiesong (Wuhan University); Sheng, Jinbao (Wuhan University; Nanjing Hydraulic Research Institute); Mahmoud, Ali (Wuhan University); Liu, Yong (Wuhan University); Yang, Dewei (Nanjing Hydraulic Research Institute); Guo, Lidan (Hohai University); Li, Mingxian (Hohai University); Wu, Yueting (Hohai University)",8,8,,6.82,,https://app.dimensions.ai/details/publication/pub.1153659612,37 Earth Sciences; 3704 Geoinformatics,11 Sustainable Cities and Communities
4489,pub.1159897138,10.3390/toxics11060538,37368638,PMC10302186,"Herbicides in Water Sources: Communicating Potential Risks to the Population of Mangaung Metropolitan Municipality, South Africa","Pesticides are an important tool for maintaining and improving the global population's standard of living. However, their presence in water resources is concerning due to their potential consequences. Twelve water samples from rivers, dams/reservoirs, and treated drinking water were collected from Mangaung Metropolitan Municipality in South Africa. The collected samples were analysed using high-performance liquid chromatography linked to a QTRAP hybrid triple quadrupole ion trap mass spectrometer. The ecological and human health risks were assessed by risk quotient and human health risk assessment methods, respectively. Herbicides, such as atrazine, metolachlor, simazine and terbuthylazine, were analysed in water sources. The average concentrations of simazine in rivers (1.82 mg/L), dams/reservoirs (0.12 mg/L), and treated drinking water (0.03 mg/L) were remarkable among all four herbicides detected. Simazine, atrazine, and terbuthylazine posed high ecological risks for both acute and chronic toxicity in all water sources. Moreover, simazine is the only contaminant in the river water that poses a medium carcinogenic risk to adult. It can be concluded that the level of herbicide detected in water sources may affect aquatic life and human beings negatively. This study may aid in the development of pesticide pollution management and risk reduction strategies within the municipality.","The authors gratefully acknowledge the financial support from WRC, Project No.: 2022/2023-00791 and the Central University of Technology, Free State. This research was also supported by the DSI-NRF Centre of Excellence (CoE) in Human Development at the University of the Witwatersrand, Johannesburg, South Africa. The content is solely the responsibility of the authors and does not reflect the views of the aforementioned institutions. We acknowledge our research team member Elias K. Mphosho, who contributed to the field data collection.","This work was funded by the Water Research Commission (WRC), Project No.: 2022/2023-00791. It was also financed by research development and postgraduate studies at the Central University of Technology, Free State (CUT). Part of the APC was also received from the DSI-NRF Centre of Excellence (CoE) in Human Development at the University of the Witwatersrand, Johannesburg, South Africa.",Toxics,,Ilaria Guagliardi,,2023-06-16,2023,2023-06-16,,11,6,538,All OA; Gold,Article,"Mugudamani, Innocent; Oke, Saheed A.; Gumede, Thandi Patricia; Senbore, Samson","Mugudamani, Innocent (Department of Life Sciences, Central University of Technology, Free State, Bloemfontein 9301, South Africa;, tgumede@cut.ac.za); Oke, Saheed A. (Department of Civil Engineering, Centre for Sustainable Smart Cities, Central University of Technology, Free State, Bloemfontein 9301, South Africa or, okesaheed@gmail.com, (S.A.O.);, senboresamson@gmail.com, (S.S.)); Gumede, Thandi Patricia (Department of Life Sciences, Central University of Technology, Free State, Bloemfontein 9301, South Africa;, tgumede@cut.ac.za); Senbore, Samson (Department of Civil Engineering, Centre for Sustainable Smart Cities, Central University of Technology, Free State, Bloemfontein 9301, South Africa or, okesaheed@gmail.com, (S.A.O.);, senboresamson@gmail.com, (S.S.))","Mugudamani, Innocent (Central University of Technology)","Mugudamani, Innocent (Central University of Technology); Oke, Saheed A. (Central University of Technology); Gumede, Thandi Patricia (Central University of Technology); Senbore, Samson (Central University of Technology)",1,1,,,https://www.mdpi.com/2305-6304/11/6/538/pdf?version=1687225105,https://app.dimensions.ai/details/publication/pub.1159897138,41 Environmental Sciences; 4105 Pollution and Contamination,
4489,pub.1167035851,10.1590/0001-3765202320220609,38126432,,Assessment of River-Aquifer Interaction and Nitrogen Contamination in an Agricultural Zone Located in the Guarani Aquifer System Outcrop Area,"The excessive use of nitrogen fertilizers is responsible for an increase in nitrate concentrations in water bodies, which in the future could led to an irreversible contamination compromising the water resource quality. In this way, understand the water movement within a watershed and evaluate the impacts related to agricultural practices is relevant for water management, especially in an environmental fragile region, such as the outcrop area of the Guarani Aquifer. Water samples from a small watershed located at the Guarani Aquifer region in São Paulo state, representing surface water and groundwater discharge in riverbeds from two creeks, as well as groundwater (springs and wells) were collected for isotopic ratios (δ18O e δ2H) and nitrate determination. The results indicated that the river flow is mostly supplied by groundwater discharge, and despite the observed concentrations of nitrate in groundwater reaching the creeks, the current scenario indicate contamination in the surface water, above the regulatory levels. Therefore, the expansion in sugarcane production increases the possibility that the released nitrate reaches high levels in the future in this watershed.","The authors would like to thank the financial support of the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), through Project 404979/2018-1 denominated “Origin of flux and water residence times in a watershed of São Paulo State” and Scholarship 134919/2019-0.",,Anais da Academia Brasileira de Ciências,,,"Rivers; Environmental Monitoring; Nitrates; Nitrogen; Water Pollutants, Chemical; Brazil; Groundwater; Water",2023,2023,2023,,95,suppl 2,e20220609,All OA; Gold,Article,"Lima, Camila DE; Batista, Ludmila V; Garpelli, Lia N; Santos, Vinícius Dos; Quaggio, Carolina S; Gastmans, Didier","Lima, Camila DE (Universidade Estadual Paulista (UNESP), Centro de Estudos Ambientais, Av. 24A, 1515, Bela Vista, 13506-900 Rio Claro, SP, Brazil.); Batista, Ludmila V (Universidade Federal do Rio de Janeiro (UFRJ), Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Programa de Engenharia de Produção, Centro de Tecnologia 2, Rua Moniz Aragão, 360, Bloco 1, Ilha do Fundão, Cidade Universitária, 21941-594 Rio de Janeiro, RJ, Brazil.); Garpelli, Lia N (Universidade Estadual Paulista (UNESP), Centro de Estudos Ambientais, Av. 24A, 1515, Bela Vista, 13506-900 Rio Claro, SP, Brazil.); Santos, Vinícius Dos (Universidade Estadual Paulista (UNESP), Centro de Estudos Ambientais, Av. 24A, 1515, Bela Vista, 13506-900 Rio Claro, SP, Brazil.); Quaggio, Carolina S (Universidade Estadual Paulista (UNESP), Centro de Estudos Ambientais, Av. 24A, 1515, Bela Vista, 13506-900 Rio Claro, SP, Brazil.); Gastmans, Didier (Universidade Estadual Paulista (UNESP), Centro de Estudos Ambientais, Av. 24A, 1515, Bela Vista, 13506-900 Rio Claro, SP, Brazil.)",,"Lima, Camila DE (São Paulo State University); Batista, Ludmila V (Federal University of Rio de Janeiro); Garpelli, Lia N (São Paulo State University); Santos, Vinícius Dos (São Paulo State University); Quaggio, Carolina S (São Paulo State University); Gastmans, Didier (São Paulo State University)",0,0,,,https://www.scielo.br/j/aabc/a/nmDwNLWcvCVqSDdR5RXXVWk/?lang=en&format=pdf,https://app.dimensions.ai/details/publication/pub.1167035851,37 Earth Sciences; 3705 Geology; 3707 Hydrology,15 Life on Land
4489,pub.1153591006,10.3390/ijerph192416640,36554518,PMC9779050,Does Climate Change Increase Crop Water Requirements of Winter Wheat and Summer Maize in the Lower Reaches of the Yellow River Basin?,"With increasing water resources stress under climate change, it is of great importance to deeply understand the spatio-temporal variation of crop water requirements and their response to climate change for achieving better water resources management and grain production. However, the quantitative evaluation of climate change impacts on crop water requirements and the identification of determining factors should be further explored to reveal the influencing mechanism and actual effects thoroughly. In this study, the water requirements of winter wheat and summer maize from 1981 to 2019 in the lower reaches of the Yellow River Basin were estimated based on the Penman-Monteith model and crop coefficient method using daily meteorological data. Combined with trends test, sensitivity and contribution analysis, the impacts of different meteorological factors on crop water requirement variation were explored, and the dominant factors were then identified. The results indicated that the temperature increased significantly (a significance level of 0.05 was considered), whereas the sunshine duration, relative humidity and wind speed decreased significantly from 1981 to 2019 in the study area. The total water requirements of winter wheat and summer maize presented a significant decreasing trend (-1.36 mm/a) from 1981 to 2019 with a multi-year average value of 936.7 mm. The crop water requirements of winter wheat was higher than that of summer maize, with multi-year average values of 546.6 mm and 390.1 mm, respectively. In terms of spatial distribution patterns, the crop water requirement in the north was generally higher than that in the south. The water requirements of winter wheat and summer maize were most sensitive to wind speed, and were less sensitive to the minimum temperature and relative humidity. Wind speed was the leading factor of crop water requirement variation with the highest contribution rate of 116.26% among the considered meteorological factors. The results of this study will provide important support for strengthening the capacity to cope with climate change and realizing sustainable utilization of agricultural water resources in the lower reaches of the Yellow River Basin.",,"This research was funded by the Shandong Provincial Natural Science Foundation (ZR2021QD143, ZR2022QD081), the Shandong Provincial Key Research and Development Program (Soft Science Project, 2022RZB05042), the Doctoral Foundation of Shandong Jianzhu University (X21011Z) and the Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences (CXGC2022E07).",International Journal of Environmental Research and Public Health,,"Linchuan Yang, Baojie He, Junqing Tang","Triticum; Zea mays; Climate Change; Rivers; Crops, Agricultural; Water; China",2022-12-11,2022,2022-12-11,,19,24,16640,All OA; Gold,Article,"Jia, Kun; Zhang, Wei; Xie, Bingyan; Xue, Xitong; Zhang, Feng; Han, Dongrui","Jia, Kun (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China); Zhang, Wei (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China); Xie, Bingyan (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China); Xue, Xitong (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China); Zhang, Feng (School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China); Han, Dongrui (Institute of Agricultural Information and Economics, Shandong Academy of Agricultural Sciences, Jinan 250100, China)","Han, Dongrui (Shandong Academy of Agricultural Sciences)","Jia, Kun (Shandong Jianzhu University); Zhang, Wei (Shandong Jianzhu University); Xie, Bingyan (Shandong Jianzhu University); Xue, Xitong (Shandong Jianzhu University); Zhang, Feng (Shandong Jianzhu University); Han, Dongrui (Shandong Academy of Agricultural Sciences)",5,5,,3.08,https://www.mdpi.com/1660-4601/19/24/16640/pdf?version=1670748641,https://app.dimensions.ai/details/publication/pub.1153591006,"30 Agricultural, Veterinary and Food Sciences; 3004 Crop and Pasture Production; 37 Earth Sciences; 3701 Atmospheric Sciences; 3704 Geoinformatics",13 Climate Action
4482,pub.1150674245,10.1038/s41467-022-32580-x,36050302,PMC9436950,Climate and land management accelerate the Brazilian water cycle,"Increasing floods and droughts are raising concerns of an accelerating water cycle, however, the relative contributions to streamflow changes from climate and land management have not been assessed at the continental scale. We analyze streamflow data in major South American tropical river basins and show that water use and deforestation have amplified climate change effects on streamflow extremes over the past four decades. Drying (fewer floods and more droughts) is aligned with decreasing rainfall and increasing water use in agricultural zones and occurs in 42% of the study area. Acceleration (both more severe floods and droughts) is related to more extreme rainfall and deforestation and occurs in 29% of the study area, including southern Amazonia. The regionally accelerating water cycle may have adverse global impacts on carbon sequestration and food security.","This work was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) grant 141219/2019-0 (V.C.), grant 201343/2020-7 (P.C.), and grant 314792/2020-1 (P.C.) and the Austrian Science Funds (FWF) projects I 3174, I 4776 and W1219-N22 (G.B.). Debora Yumi de Oliveira provided code for the change in return period analysis.",,Nature Communications,,,Brazil; Climate Change; Conservation of Natural Resources; Droughts; Water; Water Cycle,2022-09-01,2022,2022-09-01,,13,1,5136,All OA; Gold,Article,"Chagas, Vinícius B. P.; Chaffe, Pedro L. B.; Blöschl, Günter","Chagas, Vinícius B. P. (Graduate Program of Environmental Engineering, Federal University of Santa Catarina, Florianopolis, Brazil); Chaffe, Pedro L. B. (Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Florianopolis, Brazil); Blöschl, Günter (Institute of Hydraulic Engineering and Water Resources Management, Technische Universität Wien, Vienna, Austria)","Chagas, Vinícius B. P. (Universidade Federal de Santa Catarina); Chaffe, Pedro L. B. (Universidade Federal de Santa Catarina)","Chagas, Vinícius B. P. (Universidade Federal de Santa Catarina); Chaffe, Pedro L. B. (Universidade Federal de Santa Catarina); Blöschl, Günter (TU Wien)",44,44,1.33,21.04,https://www.nature.com/articles/s41467-022-32580-x.pdf,https://app.dimensions.ai/details/publication/pub.1150674245,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,15 Life on Land
4474,pub.1105811432,10.1016/j.scitotenv.2018.07.339,30064108,,Water resource management and public preferences for water ecosystem services: A choice experiment approach for inland river basin management,"The concept of ecosystem services provides a valuable approach for linking humans and nature and for supporting the protection of natural ecosystems. River water services, which influence public health and daily routines, have both social and ecological benefits to a surrounding area. However, river networks and their services have suffered extensive destruction due to urbanization and industrialization, especially in China. An assessment of river system benefits and recognition of public preferences are crucial for sustainable river management and effective river system restoration. The objective of this study was to assess a household's willingness to pay using a choice experiment (CE) with mixed logit and multinomial logit models. This technique was applied to evaluate a respondent's preferences regarding water service attributes such as upper basin, middle basin and lower basin ecological water distribution; water quality; and payment and the possible source of heterogeneity in these attributes. The estimated likelihood ratio test demonstrated that random parameter logit model (RPL) models had considerably more explanatory power than multinomial logit (MNL) models. It was also revealed that the RPL-II model was the most powerful among all the models, demonstrating the capability of that model to predict the choices of the respondents. Furthermore, the findings show that water quality was the most preferred river attribute, and households were willing to pay more for the water quality attribute that derives the highest marginal value. Household income level, residential location, education level, and sex were the main factors influencing willingness to pay. These assessments provide guidance, policy recommendations and a reference for researchers and policy makers to improve and enhance current river water services in the future.",The authors extend their sincere thanks to the editors of this journal and the two anonymous reviewers for their valuable comments and suggestions that have significantly improved the manuscript. The survey was sponsored by a major project supported by National Natural Social Science Foundation of China (No. 15ZDA052).,,The Science of The Total Environment,,,China; Conservation of Natural Resources; Ecosystem; Humans; Rivers; Water; Water Resources,2018-07-25,2018,2018-07-25,2019-01,646,,821-831,Closed,Article,"Khan, Imran; Zhao, Minjuan","Khan, Imran (College of Economics & Management, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China. Electronic address: imran@aup.edu.pk.); Zhao, Minjuan (College of Economics & Management, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China. Electronic address: minjuan.zhao@nwsuaf.edu.cn.)","Khan, Imran (North West Agriculture and Forestry University); Zhao, Minjuan (North West Agriculture and Forestry University)","Khan, Imran (North West Agriculture and Forestry University); Zhao, Minjuan (North West Agriculture and Forestry University)",80,42,2.88,19.67,,https://app.dimensions.ai/details/publication/pub.1105811432,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,4 Quality Education
4467,pub.1147511462,10.1007/s11356-022-20475-9,35488991,PMC9055219,"Water reuse in industries: analysis of opportunities in the Paraíba do Sul river basin, a case study in Presidente Vargas Plant, Brazil","In recent years, the demand for clean water has been growing all over the world despite the different threats posed, including increasing pollution, increasing deforestation and climate change. Industrial activity is the second largest consumer of water, so highly industrialized regions are more susceptible to water stress. In this sense, reuse strategies have been progressively discussed and used around the world; however, in Brazil there is still place for many advances, whether due to lack of incentives, cultural issues in society, or poor regulation of the subject. The objective of this work was to carry out a diagnosis of raw water uptake by industries in one Hydrographic Region of the state of Rio de Janeiro and to propose a discussion on the adoption of water reuse practices for non-potable purposes from the use of treated effluents. A survey of the theoretical framework on the subject was carried out, as well as an analysis of sustainability indicators and reports of the companies, including the current licensing processes of large undertakings consuming water resources. With this study, it was possible to obtain the average cost of implementing a water reuse unit for an industry in the state of Rio de Janeiro-Brazil, which, despite still being expensive, has a strong tendency to use due to world water shortages. Finally, it was concluded that the state of Rio de Janeiro has a threat of water scarcity that could be aggravated in the coming years, if measures and investments in supply alternatives are not adopted (water reuse), and improvement in all stages of water management water resources.",The authors would like to thank PGEB (UFF-RJ) and PPGECM (UENF-RJ).,Financial support for this work was provided by FAPERJ and CNPq.,Environmental Science and Pollution Research,,,Brazil; Industry; Rivers; Water Resources; Water Supply,2022-04-30,2022,2022-04-30,2022-09,29,44,66085-66099,All OA; Bronze,Article,"Fico, Giulianna Costa; de Azevedo, Afonso R. G; Marvila, Markssuel Teixeira; Cecchin, Daiane; de Castro Xavier, Gustavo; Tayeh, Bassam A.","Fico, Giulianna Costa (School of Engineering, Post-graduation in Biosystems Engineering (PGEB), Fluminense Federal University (UFF), Rua Passo da Pátria 156, Bloco D, sala 236, Ingá, Niterói, Brazil); de Azevedo, Afonso R. G (Civil Engineering Laboratory (LECIV), North Fluminense Estadual University (UENF), Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, Brazil); Marvila, Markssuel Teixeira (Federal University of Viçosa (UFV), Campus Rio Paranaiba, Highway BR 230 Km 7, Rio Paranaiba, Minas Gerais, Brazil); Cecchin, Daiane (School of Engineering, Post-graduation in Biosystems Engineering (PGEB), Fluminense Federal University (UFF), Rua Passo da Pátria 156, Bloco D, sala 236, Ingá, Niterói, Brazil); de Castro Xavier, Gustavo (Civil Engineering Laboratory (LECIV), North Fluminense Estadual University (UENF), Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, Brazil); Tayeh, Bassam A. (Civil Engineering Department, Islamic University of Gaza, Gaza, Palestine)","de Azevedo, Afonso R. G (Civil Engineering Laboratory (LECIV), North Fluminense Estadual University (UENF), Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, Brazil)","Fico, Giulianna Costa (Fluminense Federal University); de Azevedo, Afonso R. G (Civil Engineering Laboratory (LECIV), North Fluminense Estadual University (UENF), Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, Brazil); Marvila, Markssuel Teixeira (Universidade Federal de Viçosa); Cecchin, Daiane (Fluminense Federal University); de Castro Xavier, Gustavo (Civil Engineering Laboratory (LECIV), North Fluminense Estadual University (UENF), Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, Brazil); Tayeh, Bassam A. (Islamic University of Gaza)",3,3,,1.41,https://link.springer.com/content/pdf/10.1007/s11356-022-20475-9.pdf,https://app.dimensions.ai/details/publication/pub.1147511462,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land; 6 Clean Water and Sanitation
4466,pub.1111660412,10.1038/s41467-019-08366-z,30683855,PMC6347611,The evolution of human population distance to water in the USA from 1790 to 2010,"Human societies evolved alongside rivers, but how has the relationship between human settlement locations and water resources evolved over time? We conducted a dynamic analysis in the conterminous US to assess the coevolution of humans and water resources from 1790 to 2010. Here we show that humans moved closer to major rivers in pre-industrial periods but have moved farther from major rivers after 1870, demonstrating the dynamics of human reliance on rivers for trade and transport. We show that humans were preferentially attracted to areas overlying major aquifers since industrialization due to the emergent accessibility of groundwater in the 20th century. Regional heterogeneity resulted in diverse trajectories of settlement proximity to major rivers, with the attractiveness of rivers increasing in arid regions and decreasing in humid areas. Our results reveal a historical coevolution of human-water systems, which could inform water management and contribute to societal adaptation to future climate change.","This research was supported in part by USDA National Institute of Food and Agriculture Hatch project FLA-SWS-005461. Y.F. acknowledges support from National Natural Science Foundation of China (Grant No. 71461010701). We are grateful for the suggestions from Drs. Matthew J. Cohen, Xudong Fu, Yang Hong, Kyungrock Paik, P. Suresh C. Rao, and Andrew D. Wickert.",,Nature Communications,,,"Climate Change; Conservation of Natural Resources; Groundwater; History, 18th Century; History, 19th Century; History, 20th Century; History, 21st Century; Humans; Models, Statistical; Population Dynamics; Rivers; United States; Water Resources",2019-01-25,2019,2019-01-25,,10,1,430,All OA; Gold,Article,"Fang, Yu; Jawitz, James W.","Fang, Yu (Soil and Water Sciences Department, University of Florida, 32611, Gainesville, FL, USA; State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, 100084, Beijing, China); Jawitz, James W. (Soil and Water Sciences Department, University of Florida, 32611, Gainesville, FL, USA)","Jawitz, James W. (University of Florida)","Fang, Yu (University of Florida; Tsinghua University); Jawitz, James W. (University of Florida)",75,49,0.95,12.94,https://www.nature.com/articles/s41467-019-08366-z.pdf,https://app.dimensions.ai/details/publication/pub.1111660412,37 Earth Sciences; 3707 Hydrology,
4463,pub.1153021038,10.1007/s10661-022-10768-4,36422745,,"Evaluation of the effects of abattoir effluent on the physicochemical and bacteriological quality of River Benue, Nigeria","This study investigated the impact of continual discharge of untreated abattoir effluents on the water quality of River Benue. Three major abattoirs (Wurukum, Wadata and Northbank) in Makurdi, Nigeria, and their polluting strength in river upstream and downstream were measured and compared. Two water quality parameters: physicochemical and bacteriological were investigated. Water quality index (WQI) was computed for all sampling sites. Results revealed that some of the physiochemical parameters were above recommended limits, especially in downstream river, in particular, the turbidity (24.0–55.5 mg/l), TSS (62.6–92.0 mg/l), DO (8.0 mg/l), and total hardness (160–240 mg/l). All sampling sites indicated an increased bacterial population while Salmonella spp. and Escherichia coli were the predominant bacteria among the ten genera identified in water upstream and downstream. Faecal coliforms increased from upstream to downstream in two sampling sites (Wurukum and Wadata). Strong positive correlations were observed between upstream and downstream samples for pH, EC, turbidity, TSS, DO, COD, SO42–, TC, and Shigella spp. WQI revealed that all sampling locations were heavily polluted and unsuitable for drinking purposes (WQI > 300) based on both the physicochemical and bacterial parameters. The sampling sites, however, showed excellent water quality based only on physicochemical properties especially upstream at both Wurukum and Northbank sampling sites (WQI < 50). It was suggested that anthropogenic activities around the river may be responsible for the high concentration of some physiochemical parameters and bacterial loads observed in the river downstream. Moreover, it was concluded that microbial loads should be fully considered in WQI computation in terms of water quality. Our results are useful for water resource and waste management in terms of practices and policy guidance, especially for developing countries.","We thank the Ministry of Water Resources and Environment, Makurdi, Nigeria, immensely for their assistance in providing most of the equipment’s for this water analysis. We are grateful to the laboratory scientists and supporting staff of the Department of Biological Sciences and Chemistry, Federal University of Agriculture, Makurdi, Nigeria, for their overwhelming support both in the field as well in the laboratory.",,Environmental Monitoring and Assessment,,,Abattoirs; Environmental Monitoring; Nigeria; Rivers; Water Quality,2022-11-24,2022,2022-11-24,2023-01,195,1,146,Closed,Article,"Omoni, Victor T.; Bankole, Paul O.; Omoche, Ojobo; Obida, Christopher; Igben, Colonel; Stephen, Okekporo E.; Ogwo, Ekeoma I.; Torjir, Doosuur N.","Omoni, Victor T. (Department of Microbiology, Federal University of Agriculture, Makurdi, Benue State, Nigeria); Bankole, Paul O. (Department of Pure and Applied Botany, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria); Omoche, Ojobo (Department of Botany, Federal University of Agriculture, Makurdi, Benue State, Nigeria); Obida, Christopher (Department of Geography, Nigeria Defence Academy, Kaduna, Kaduna State, Nigeria); Igben, Colonel (Department of Microbiology, Federal University of Agriculture, Makurdi, Benue State, Nigeria); Stephen, Okekporo E. (Department of Botany, Federal University of Agriculture, Makurdi, Benue State, Nigeria); Ogwo, Ekeoma I. (Department of Environmental Resource Management, Abia State University, Uturu, Abia State, Nigeria); Torjir, Doosuur N. (Department of Microbiology, Federal University of Agriculture, Makurdi, Benue State, Nigeria)","Bankole, Paul O. (Federal University of Agriculture)","Omoni, Victor T. (University of Agriculture); Bankole, Paul O. (Federal University of Agriculture); Omoche, Ojobo (University of Agriculture); Obida, Christopher (Department of Geography, Nigeria Defence Academy, Kaduna, Kaduna State, Nigeria); Igben, Colonel (University of Agriculture); Stephen, Okekporo E. (University of Agriculture); Ogwo, Ekeoma I. (Abia State University); Torjir, Doosuur N. (University of Agriculture)",2,2,,0.94,,https://app.dimensions.ai/details/publication/pub.1153021038,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4463,pub.1147963600,10.1007/s11269-022-03169-2,,PMC9116929,An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment,"Urban river not only has the important function in urban hydrological environment, but also is an area for entertainment. Water quality assessment is the core technique in water resource management. As the typical urban river, water samples were collected at 5 sampling points in Xi’an moat from January 2018 to December 2020, and 10 physicochemical parameters were analyzed. In this paper, a comprehensive water quality index (WQI) is designed based on the criterion of water quality classes and entropy weight method firstly. Secondly, the crucial water quality parameters is determined by using mutual information, coefficient of variation and the water quality difference. Finally, an enhanced beetle antennae search algorithm is proposed to optimize the weight values of the crucial parameters in the range 0 to 1, which represent the ratio of the crucial parameter in the minimum WQI (WQImin) model. The WQImin models with different number of crucial water quality parameters are implemented for water quality assessment. The effectiveness and superiority of the proposed enhanced beetle antennae search algorithm are validated in comparison with other evolutionary algorithms. The results show that the proposed WQImin model can assess the water quality accurately.",,"This work was supported by the Natural Science Foundation of Shaanxi Province (No. 2021JQ-481), and Xi’an Science and Technology Project (No. 2020KJRC0086).",Water Resources Management,,,,2022-05-18,2022,2022-05-18,2022-06,36,8,2685-2702,All OA; Bronze,Article,"Gao, Zehai; Liu, Yang; Li, Nan; Ma, Kangjie","Gao, Zehai (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, 710048, Xi’an, China); Liu, Yang (State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China, Xi’an University of Technology, 710048, Xi’an, China); Li, Nan (Shangnan Forestry Bureau, Shangnan, 726300, Shangluo, Shaanxi, China); Ma, Kangjie (Shangnan Bureau of Natural Resources, Shangluo, Shaanxi, China)","Liu, Yang (Xi'an University of Technology)","Gao, Zehai (Xi'an University of Technology); Liu, Yang (Xi'an University of Technology); Li, Nan (Shangnan Forestry Bureau, Shangnan, 726300, Shangluo, Shaanxi, China); Ma, Kangjie (Shangnan Bureau of Natural Resources, Shangluo, Shaanxi, China)",9,9,,5.11,https://link.springer.com/content/pdf/10.1007/s11269-022-03169-2.pdf,https://app.dimensions.ai/details/publication/pub.1147963600,40 Engineering; 4005 Civil Engineering,6 Clean Water and Sanitation
4462,pub.1108058598,10.1371/journal.pone.0206852,30399163,PMC6219792,Appraisal of the water footprint of irrigated agriculture in a semi-arid area: The Segura River Basin,"Irrigated agriculture is a key activity in water resources management at the river basin level in arid and semi-arid areas, since this sector consumes the largest part of the water resources overall. The current study proposes a methodology to evaluate the water footprint (WF) of the irrigated agriculture sector at the river basin level, through a simulation of the anthropised water cycle combining a hydrological model and a decision support system. The main difference from the approaches that have already been used is that the new methodology includes the limitations of the system for the exploitation of water resources where the irrigated areas are located, and it considers the hydrological principles governed by the law of continuity of mass. Water footprint accounting was carried out for the Segura River Basin (South-eastern Spain), applying the methodology proposed and another that is usually applied. The results of the two methodologies were compared, revealing significant differences in the values of the WF, basically due to the blue component. The methodology that is usually applied overestimated the WF of the agriculture in the basin since supply deficits were not taken into account, providing results that would only be possible if there were no spatial or temporal restrictions to water use. So, in order to make the WF indicator useful in water resources management plans, it is necessary to adapt the computations to the main characteristics of the water exploitation system of the whole basin under study, respecting the hydrological principles of the water cycle: regulation and transport infrastructure, the real water resources available and the priority of access to water between concurrent water uses.","This paper is a result of the research project 19342/PI/14 funded by “Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia” in the framework of PCTIRM 2011-2014 (to JMMP). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","This paper is a result of the research project 19342/PI/14 funded by “Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia” in the framework of PCTIRM 2011-2014 (to JMMP). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Laura Scherer,Agricultural Irrigation; Conservation of Natural Resources; Humans; Hydrology; Rivers; Spain; Water; Water Resources; Water Supply,2018-11-06,2018,2018-11-06,,13,11,e0206852,All OA; Gold,Article,"Martínez-Paz, José Miguel; Gomariz-Castillo, Francisco; Pellicer-Martínez, Francisco","Martínez-Paz, José Miguel (Department of Applied Economics, University of Murcia, Murcia, Spain); Gomariz-Castillo, Francisco (Department of Geography, University of Murcia, Murcia, Spain); Pellicer-Martínez, Francisco (Department of Civil Engineering, Catholic University of Murcia, Murcia, Spain)","Pellicer-Martínez, Francisco (Universidad Católica San Antonio de Murcia)","Martínez-Paz, José Miguel (University of Murcia); Gomariz-Castillo, Francisco (University of Murcia); Pellicer-Martínez, Francisco (Universidad Católica San Antonio de Murcia)",13,3,0.08,3.33,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0206852&type=printable,https://app.dimensions.ai/details/publication/pub.1108058598,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4461,pub.1155353161,10.1007/s12524-023-01672-6,,PMC9924209,Application of Geospatial Techniques and the MCDM Method to Optimize Interlinking of Rivers in India,"Access to freshwater is one of the most critical challenges in drought-prone regions of India due to climate change and population growth. However, societal costs due to people displacement are often ignored while evaluating interlinking of rivers (ILR) projects though people displacement is one of the most significant impacts of ILR projects in densely populated countries. Therefore, the authors expand the scope of Integrated Water Resources Management (IWRM) by incorporating land use and land cover as key criteria in the Multi-Criteria Decision-Making (MCDM) method. The project alternatives for the proposed Almatti-Pennar (A-P) ILR project developed in this study were evaluated by applying geospatial techniques and the MCDM method before consulting expert stakeholders to finalize the optimal configuration of this project. The optimal A-P ILR configuration will utilize the existing reservoirs and canal systems and reduce the length of the proposed 587 km long link canal by 200 km. This will expedite the ILR project by reducing project-related deforestation, people displacement, and cost. This integrated approach using geospatial techniques and the MCDM method can be applied to ILR projects to achieve Sustainable Development Goal (SDG) 2 (zero hunger) and SDG target 6.1 (safe and affordable drinking water) by reducing water stress.",The authors acknowledge the guidance provided by Dr. K J Ramesh and Sh. M D Radhakrishna during this research. We are also grateful to officials in the NWDA and the water resources and irrigation departments in Andhra Pradesh and Karnataka for their inputs and participating in stakeholder consultations during this study. The first author is also thankful to the ‘Manipal Academy of Higher Education (MAHE) for permitting him to carry out his PhD dissertation entitled “Interlinking of Rivers for Integrated Water Resources Management”.,"The ongoing research work is part of a larger research project being implemented by NIAS under a Grant from the Ministry of Earth Sciences (MoES/ 16/15/2011-RDEAS (NIAS) dated May 22, 2018) on the theme “to understand the Interaction between components of Earth and Human Systems at various Spatial and Temporal Scales”. However, MOES has not played any role in the design or execution of this study.",Journal of the Indian Society of Remote Sensing,,,,2023-02-13,2023,2023-02-13,2023-04,51,4,849-863,All OA; Bronze,Article,"Ahmed, Aariz; Srikanth, R.","Ahmed, Aariz (Energy, Environment, and Climate Change Program, National Institute of Advanced Studies, Indian Institute of Science Campus, 560012, Bengaluru, India; Manipal Academy of Higher Education (MAHE), 576104, Manipal, Karnataka, India); Srikanth, R. (Energy, Environment, and Climate Change Program, National Institute of Advanced Studies, Indian Institute of Science Campus, 560012, Bengaluru, India)","Srikanth, R. (Indian Institute of Science Bangalore)","Ahmed, Aariz (Indian Institute of Science Bangalore; Manipal Academy of Higher Education); Srikanth, R. (Indian Institute of Science Bangalore)",2,2,,,https://link.springer.com/content/pdf/10.1007/s12524-023-01672-6.pdf,https://app.dimensions.ai/details/publication/pub.1155353161,40 Engineering; 4013 Geomatic Engineering,15 Life on Land; 6 Clean Water and Sanitation
4455,pub.1147321824,10.1016/j.envpol.2022.119341,35469926,,"A partial least squares-path model of causality among environmental deterioration indicators in the dry period of Paraopeba River after the rupture of B1 tailings dam in Brumadinho (Minas Gerais, Brazil)","This study investigated the collapse of B1 mine-tailings dam that occurred in 25 January 2019 and severely affected the Brumadinho region (Minas Gerais state, Brazil) socially, economically and environmentally. As regards water resources, the event impacted the Paraopeba River in the first 155.3 km counted from the dam site, meaning nearly half the main water course downstream of B1. In the impacted sector, high concentrations of tailings-related Al, Fe, Mn, P in river sediment-tailings mixtures and water were detected, as well as changes to the reflectance of riparian forests. In the river water, the metal concentrations raised significantly above safe levels. For caution, the water management authorities declared immediate suspension of Paraopeba River as drinking water source to the Metropolitan Region of Belo Horizonte (6 million people), irrespective of representing nearly 30% of all supply. In this study, the main purpose was to assess potential links between tailings distribution, river water composition and reflectance of forest vegetation, which worked out as latent variables in regression models. The latent variables were represented by numerous physical and chemical parameters, measured 4 times in 22 sites during the dry period of 2019. The modeling results suggested the release of aluminum and phosphorus from sand fractions in the mine tailings as major cause of water contamination. The NDVI changes were interpreted as environmental deterioration. Changes in redox potential may have raised manganese concentrations in surface water further affecting the forest NDVI. Distance from the B1 dam and dissolved calcium appear to attenuate deterioration. Overall, the regressions allowed robust prognoses of environmental deterioration in the Paraopeba River under low flow conditions. More importantly, they can be transposed to similar dam ruptures helping environmental authorities to decide upon measures that can bring the affected rivers to pre-rupture conditions.","This study was funded by contract n ° 5500074952/5500074950/5500074953, signed between the company Vale S.A. and the following research institutions: University Support Foundation; University of Trás-Os-Montes e Alto Douro; and the Foundation for the Development of Júlio de Mesquita Filho Paulista State University. Renato Farias do Valle Júnior, the author affiliated with the Federal Institute of Triangulo Mineiro (IFTM), would like to thank the National Council for Scientific Development and Technology (CNPq) for the research productivity grant. The author belongs to the CITAB Investigation Center, and this study was also supported by FCT National Funds – Portuguese Foundation for Science and Technology, via project UIDB/04033/2020. He also belongs to Inov4Agro – Institute for Innovation, Training and Sustainable Agrifood Production, an associated laboratory consisting of two RD (CITAB and GreenUPorto). For the author belonging to the CQVR, the investigation received additional support from FCT National Funds, via projects UIDB/00616/2020 and UIDP/00616/2020.",,Environmental Pollution,,,"Brazil; Environmental Monitoring; Humans; Least-Squares Analysis; Water; Water Pollutants, Chemical",2022-04-22,2022,2022-04-22,2022-08,306,,119341,All OA; Hybrid,Article,"Mendes, Rafaella Gouveia; do Valle Junior, Renato Farias; de Melo Silva, Maytê Maria Abreu Pires; Sanches Fernandes, Luís Filipe; Pinheiro Fernandes, António Carlos; Pissarra, Teresa Cristina Tarlé; de Melo, Marília Carvalho; Valera, Carlos Alberto; Pacheco, Fernando António Leal","Mendes, Rafaella Gouveia (Instituto Federal do Triângulo Mineiro (IFTM), Campus Uberaba, Laboratório de Geoprossessamento, Uberaba, MG, 38064-790, Brazil. Electronic address: rafaellagouveiamendes@gmail.com.); do Valle Junior, Renato Farias (Instituto Federal do Triângulo Mineiro (IFTM), Campus Uberaba, Laboratório de Geoprossessamento, Uberaba, MG, 38064-790, Brazil. Electronic address: renato@iftm.edu.br.); de Melo Silva, Maytê Maria Abreu Pires (Instituto Federal do Triângulo Mineiro (IFTM), Campus Uberaba, Laboratório de Geoprossessamento, Uberaba, MG, 38064-790, Brazil. Electronic address: mayte@iftm.edu.br.); Sanches Fernandes, Luís Filipe (Centro de Investigação e Tecnologias Agroambientais e Biológicas (CITAB), Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013, 5001-801, Vila Real, Portugal. Electronic address: lfilipe@utad.pt.); Pinheiro Fernandes, António Carlos (Centro de Investigação e Tecnologias Agroambientais e Biológicas (CITAB), Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013, 5001-801, Vila Real, Portugal.); Pissarra, Teresa Cristina Tarlé (Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista (UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, SP, 14884-900, Brazil. Electronic address: teresa.pissarra@unesp.br.); de Melo, Marília Carvalho (Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável, Cidade Administrativa do Estado de Minas Gerais, Rodovia João Paulo II, 4143, Bairro Serra Verde, Belo Horizonte, Minas Gerais, Brazil; Universidade Vale do Rio Verde (UNINCOR), Av. Castelo Branco, 82 - Chácara das Rosas, Três Corações, MG, 37417-150, Brazil. Electronic address: marilia.melo@meioambiente.mg.gov.br.); Valera, Carlos Alberto (Coordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande, Rua Coronel Antônio Rios, 951, Uberaba, MG, 38061-150, Brazil. Electronic address: carlosvalera@mpmg.mp.br.); Pacheco, Fernando António Leal (Centro de Química de Vila Real (CQVR), Universidade de Trás-os-Montes e Alto Douro (UTAD), Ap. 1013, 5001-801, Vila Real, Portugal. Electronic address: fpacheco@utad.pt.)","Pacheco, Fernando António Leal (University of Trás-os-Montes and Alto Douro)","Mendes, Rafaella Gouveia (Instituto Federal do Triângulo Mineiro); do Valle Junior, Renato Farias (Instituto Federal do Triângulo Mineiro); de Melo Silva, Maytê Maria Abreu Pires (Instituto Federal do Triângulo Mineiro); Sanches Fernandes, Luís Filipe (University of Trás-os-Montes and Alto Douro); Pinheiro Fernandes, António Carlos (University of Trás-os-Montes and Alto Douro); Pissarra, Teresa Cristina Tarlé (São Paulo State University); de Melo, Marília Carvalho (Secretaria de Estado de Meio Ambiente e Desenvolvimento Sustentável, Cidade Administrativa do Estado de Minas Gerais, Rodovia João Paulo II, 4143, Bairro Serra Verde, Belo Horizonte, Minas Gerais, Brazil; Universidade Vale do Rio Verde (UNINCOR), Av. Castelo Branco, 82 - Chácara das Rosas, Três Corações, MG, 37417-150, Brazil. Electronic address: marilia.melo@meioambiente.mg.gov.br.; Universidade Vale do Rio Verde); Valera, Carlos Alberto (Coordenadoria Regional das Promotorias de Justiça do Meio Ambiente das Bacias dos Rios Paranaíba e Baixo Rio Grande, Rua Coronel Antônio Rios, 951, Uberaba, MG, 38061-150, Brazil. Electronic address: carlosvalera@mpmg.mp.br.); Pacheco, Fernando António Leal (University of Trás-os-Montes and Alto Douro)",15,15,1.77,7.06,https://doi.org/10.1016/j.envpol.2022.119341,https://app.dimensions.ai/details/publication/pub.1147321824,41 Environmental Sciences; 4104 Environmental Management,
4454,pub.1107254235,10.1016/j.scitotenv.2018.09.327,30273729,,"Evaluation of the ecological protective effect of the “large basin” comprehensive management system in the Tarim River basin, China","It is very important to construct a reasonable and efficient basin management system to meet the ecological water demand in arid areas with natural vegetation, and to maintain the integrity and stability of fragile ecosystems. However, how to assess the effect of basin management on ecological protection in arid areas as well as how to achieve the optimal control and efficient use of ecological water are major issues for many researchers and river basin managers. To address these two questions, we investigated the comprehensive management system for the Tarim River basin in China as a typical case study. The results showed that the natural vegetation coverage degree, the ecological water supply, temperature vegetation dryness index (TVDI), and the tree-ring chronology of Populus euphratica increased, whereas the disturbance of water resources by human activities decreased. Therefore, the effects of ecological protection were obvious after comprehensive ""large basin"" management. Based on an innovative application of tree-ring chronology to estimate the water leakage from the river, we determined the minimum runoff level (43.1 × 108 m3) when the natural vegetation needs to overflow. To further improve the effect of comprehensive management, the optimal regulation mode (i.e. maintaining the groundwater depth at 2-6 m, and the frequency and duration of overflowing at 2-3 times per year for a duration of 15-20 days during July to September) for the ecological sluices was formulated from the perspective of the efficient utilization of ecological water. These results provide a scientific reference for constructing reasonable management systems for similar river basins in arid areas.","This work was supported by the National Natural Science Foundation of China (41471099 and 51609260), State Key Laboratory Project of Desert and Oasis Ecology and the Science, and Youth Innovation Promotion Association Project (CAS) (2014389).",,The Science of The Total Environment,,,China; Conservation of Water Resources; Rivers; Trees; Water Supply,2018-09-26,2018,2018-09-26,2019-02,650,Pt 2,1696-1706,Closed,Article,"Ling, Hongbo; Guo, Bin; Zhang, Guangpeng; Xu, Hailiang; Deng, Xiaoya","Ling, Hongbo (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830011, China.); Guo, Bin (College of Geomatics, Shandong University of Science and Technology, Qingdao 266510, China.); Zhang, Guangpeng (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830011, China.); Xu, Hailiang (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830011, China. Electronic address: linghongbo0929@163.com.); Deng, Xiaoya (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.)","Xu, Hailiang (Xinjiang Institute of Ecology and Geography)","Ling, Hongbo (Xinjiang Institute of Ecology and Geography); Guo, Bin (Shandong University of Science and Technology); Zhang, Guangpeng (Xinjiang Institute of Ecology and Geography); Xu, Hailiang (Xinjiang Institute of Ecology and Geography); Deng, Xiaoya (China Institute of Water Resources and Hydropower Research)",44,31,0.34,6.65,,https://app.dimensions.ai/details/publication/pub.1107254235,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4452,pub.1130213998,10.1016/j.heliyon.2020.e04722,32904314,PMC7452417,Hydrologic response to climate change in the Densu River Basin in Ghana,"Climate change continues to pose a threat to the sustainability of water resources. Global warming can have several effects on the water resources and water demands in the Densu River Basin especially household water use and agriculture use among several others. However, the extents to which the hydrology of the Densu River Basin is will be altered in the future remains unknown. In this research, the Water Evaluation and Planning (WEAP21) system was used to study the impacts of future climate change on water resources in the Densu River Basin. Future climate data (rainfall and temperature) for the period 2051-2080 was generated from the Swedish Meteorological and Hydrological Institute's climate models (ICHEC-EC-EARTH and RCA4) for RCP4.5 scenario under CORDEX experiment. The results of the study indicate that the Densu River Basin will experience a temperature increase by 8.23% and a 17% reduction in rainfall resulting in 58.3% reduction in water resources in the area. The climate change impact analysis indicates a reduction in the river streamflow due to decrease in rainfall. It is recommended that future research on climate change adaptation for water management in the Densu River Basin should be conducted.",,"This work was supported by African Union Commission research grant for the master thesis at Pan African University Institute for Water and Energy Sciences including Climate Change, Algeria for the research work of Jonathan Opoku Oti.",Heliyon,,,,2020-08-20,2020,2020-08-20,2020-08,6,8,e04722,All OA; Gold,Article,"Oti, Jonathan Opoku; Kabo-bah, Amos T.; Ofosu, Eric","Oti, Jonathan Opoku (Pan African University Institute for Water and Energy Sciences Including Climate Change (PAUWES), Tlemcen, Algeria); Kabo-bah, Amos T. (Department of Civil and Environmental Engineering, University of Energy and Natural Resources, Sunyani, Ghana); Ofosu, Eric (Department of Civil and Environmental Engineering, University of Energy and Natural Resources, Sunyani, Ghana)","Oti, Jonathan Opoku (Pan African University Institute for Water and Energy Sciences Including Climate Change (PAUWES), Tlemcen, Algeria)","Oti, Jonathan Opoku (Pan African University Institute for Water and Energy Sciences Including Climate Change (PAUWES), Tlemcen, Algeria); Kabo-bah, Amos T. (University of Energy and Natural Resources); Ofosu, Eric (University of Energy and Natural Resources)",22,19,0.23,4.15,http://www.cell.com/article/S2405844020315656/pdf,https://app.dimensions.ai/details/publication/pub.1130213998,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 6 Clean Water and Sanitation
4451,pub.1149820414,10.1007/s10661-022-10274-7,35900701,,"Time series forecasting of temperature and turbidity due to global warming in river Ganga at and around Varanasi, India","The fluctuation in the river ecosystem network due to climate change-induced global warming affects aquatic organisms, water quality, and other ecological processes. Assessment of climate change-induced global warming impacts on regional hydrological processes is vital for effective water resource management and planning. The global warming effect on river water quality has been analyzed in this work. The river Ganga stretch near the Varanasi region has been chosen as the study area for this analysis. The air temperature has been predicted using the seasonal autoregressive integrated moving average (SARIMA) and the Prophet model. The Prophet model has shown better accuracy with a root mean square percent error (RMSPE) value of 3.2% compared to the SARIMA model, which has an RMPSE value of 7.54%. The river temperature, turbidity, and nighttime radiance values have been predicted for the years 2022 and 2025 using the long short-term memory (LSTM) algorithm. The anthropogenic effect on the river has been evaluated by using the nighttime radiance imageries. The predicted average river temperature shows an increment of 0.58 °C and 0.63 °C for the city and non-city river stretches, respectively, in 2025 compared to 2022. Similarly, the river turbidity shows an increment of 1.21 nephelometric turbidity units (NTU) and 1.17 NTU for the city and non-city stretch, respectively, in 2025 compared to 2022. For future predicted years, the nighttime radiance values for the region situated near the city river stretch show a significant rise compared to the region that lies nearby the non-city river stretch.","The authors would like to take this opportunity to express their gratefulness towards Dr. Prabhat Kumar Singh Dixit, HOD of Civil Engineering Department, IIT (BHU), for constantly motivating to carry forward this study. Additionally, a special vote of thanks to Dr. Prithvish Nag (former Surveyor General of India) for reviewing and adding positive comments on this manuscript.",,Environmental Monitoring and Assessment,,,Ecosystem; Environmental Monitoring; Forecasting; Global Warming; India; Rivers; Temperature; Time Factors,2022-07-28,2022,2022-07-28,2022-09,194,9,617,Closed,Article,"Das, Nilendu; Sagar, Avikal; Bhattacharjee, Rajarshi; Agnihotri, Ashwani Kumar; Ohri, Anurag; Gaur, Shishir","Das, Nilendu (Department of Civil Engineering, Indian Institute of Technology (BHU), 221005, Varanasi, India); Sagar, Avikal (Department of Civil Engineering, National Institute of Technology Surathkal, 575025, Mangalore, India); Bhattacharjee, Rajarshi (Department of Civil Engineering, Indian Institute of Technology (BHU), 221005, Varanasi, India); Agnihotri, Ashwani Kumar (Department of Civil Engineering, Indian Institute of Technology (BHU), 221005, Varanasi, India); Ohri, Anurag (Department of Civil Engineering, Indian Institute of Technology (BHU), 221005, Varanasi, India); Gaur, Shishir (Department of Civil Engineering, Indian Institute of Technology (BHU), 221005, Varanasi, India)","Bhattacharjee, Rajarshi (Indian Institute of Technology Varanasi)","Das, Nilendu (Indian Institute of Technology Varanasi); Sagar, Avikal (Department of Civil Engineering, National Institute of Technology Surathkal, 575025, Mangalore, India); Bhattacharjee, Rajarshi (Indian Institute of Technology Varanasi); Agnihotri, Ashwani Kumar (Indian Institute of Technology Varanasi); Ohri, Anurag (Indian Institute of Technology Varanasi); Gaur, Shishir (Indian Institute of Technology Varanasi)",3,3,,2.56,,https://app.dimensions.ai/details/publication/pub.1149820414,37 Earth Sciences; 3704 Geoinformatics,13 Climate Action
4451,pub.1158043858,10.1038/s41598-023-35105-8,37188842,PMC10185529,"Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania","Inadequate knowledge on actual water availability, have raised social-economic conflicts that necessitate proper water management. This requires a better understanding of spatial–temporal trends of hydro-climatic variables as the main contributor to available water for use by sectors of economy. The study has analysed the trend of hydro-climatic variables viz. precipitation, temperature, evapotranspiration and river discharge. One downstream river gauge station was used for discharge data whereas a total of 9 daily observed and 29 grided satellite stations were used for climate data. Climate Hazards Group InfraRed Precipitation was used for precipitation data and Observational-Reanalysis Hybrid was used for Temperature data. Mann–Kendall Statistical test, Sen’s slope estimator and ArcMap Inverse Distance Weighted Interpolation functionality were employed for temporal, magnitude and spatial trend analysis respectively. Results confirmed that, spatially, there are three main climatic zones in the study area viz. Udzungwa escarpment, Kilombero valley and Mahenge escarpment. On temporal analysis, with exception of the declining potential evapotranspiration trend, all other variables are on increase. This is with catchment rates of 2.08 mm/year, 0.05 °C/year, 0.02 °C/year, 498.6 m3/s/year and − 2.27 mm/year for precipitation, Tmax, Tmin, river discharge and PET respectively. Furthermore, rainfalls start late by a month (November) while temperatures picks earlier by September and October for Tmax and Tmin respectively. Water availability matches farming season. However, it is recommended to improve water resources management practices to limit flow impairment as expansions in sectors of economy are expected. Furthermore, landuse change analysis is recommended to ascertain actual trend and hence future water uptake.",,Part of the data were financed by the centre for Water Infrastructure and Sustainable Energy (WISE-Futures) hosted by Nelson Mandela African Institution of Science and Technology where the corresponding author is studying.,Scientific Reports,,,,2023-05-15,2023,2023-05-15,,13,1,7864,All OA; Gold,Article,"Sigalla, Onesmo Zakaria; Valimba, Patrick; Selemani, Juma Rajabu; Kashaigili, Japhet J.; Tumbo, Madaka","Sigalla, Onesmo Zakaria (Nelson Mandela – African Institution of Science and Technology, Nelson Mandera Road, P. O. Box 447, Arusha, Tanzania; Rain Drop Initiative, 109 Regent Estate, Mikocheni, Dar es Salaam, Tanzania, P. O. Box 8703, Dar es Salaam, Tanzania); Valimba, Patrick (Department of Water Resources Engineering, College of Engineering and Technology, University of Dar es Salaam, P.O. Box 35131, Dar es Salaam, Tanzania); Selemani, Juma Rajabu (Nelson Mandela – African Institution of Science and Technology, Nelson Mandera Road, P. O. Box 447, Arusha, Tanzania); Kashaigili, Japhet J. (Department of Forest Resource Assessment and Management, Sokoine University of Agriculture, P.O. Box 3000, Morogoro, Tanzania); Tumbo, Madaka (Ministry of Water, Water Resources Institute, Off – Sam Nujoma Road, University Road, Ubungo, P. O. Box 35059, Dar es Salaam, Tanzania)","Sigalla, Onesmo Zakaria (Nelson Mandela African Institution of Science and Technology; Rain Drop Initiative, 109 Regent Estate, Mikocheni, Dar es Salaam, Tanzania, P. O. Box 8703, Dar es Salaam, Tanzania)","Sigalla, Onesmo Zakaria (Nelson Mandela African Institution of Science and Technology; Rain Drop Initiative, 109 Regent Estate, Mikocheni, Dar es Salaam, Tanzania, P. O. Box 8703, Dar es Salaam, Tanzania); Valimba, Patrick (University of Dar es Salaam); Selemani, Juma Rajabu (Nelson Mandela African Institution of Science and Technology); Kashaigili, Japhet J. (Sokoine University of Agriculture); Tumbo, Madaka (Ministry of Water, Water Resources Institute, Off – Sam Nujoma Road, University Road, Ubungo, P. O. Box 35059, Dar es Salaam, Tanzania)",2,2,,,https://www.nature.com/articles/s41598-023-35105-8.pdf,https://app.dimensions.ai/details/publication/pub.1158043858,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action
4449,pub.1135161579,10.1016/j.jenvman.2021.112025,33556832,,Evaluating the resilience of water resources management scenarios using the evidential reasoning approach: The Zarrinehrud river basin experience,"This paper introduces a new methodology for quantifying the total resilience of water resources management scenarios. The climate change impacts on water supply and demand have been investigated using a calibrated soil and water assessment tool (SWAT) and a MODSIM water allocation model. Several criteria have been defined to measure five aspects of water resources systems resilience. The first aspect defines resilience as system strength against crossing a performance threshold (reliability). In the second aspect, if the system crosses the performance threshold, the recovery rate of the system after a disturbance is evaluated. The violation from the performance threshold has been measured as the third aspect (vulnerability), which considers the failure's severity. The fourth aspect is the resilience under extreme events with unknown occurrence probability, which includes four sub-criteria, namely rapidity, robustness, resourcefulness, and redundancy (4 R). Finally, the fifth criterion considers the ecological condition of the system (ecological index). To compare water resources management scenarios (alternatives), an analytical evidential reasoning-based (ER) approach has been used. To show the applicability of the proposed methodology, it has been applied to the Zarrinehrud river basin, which is the leading water supplier of Lake Urmia in Iran. As one of the largest saline lakes globally, this lake has been suffering from drastic desertification and salinization in the past two decades. The grade-based results of the performance criteria are synthesized into a grade-based total resilience criterion to facilitate the comparison of water resources management scenarios. It is shown that a scenario which results in 40% reduction in agricultural water demand until 2023 has the highest resilience and an acceptable construction and operational cost.","The authors thank Dr. Farzad Emami for sharing the SWAT model and the climate change projections data. Also, the supports of the Urmia Lake Restoration National Committee (ULRNC) (Grant No. 1399-UT-006) and Iran National Science Foundation (INSF) (Grant No. 98014423) are hereby acknowledged.",,Journal of Environmental Management,,,Iran; Reproducibility of Results; Rivers; Water; Water Resources,2021-02-05,2021,2021-02-05,2021-04,284,,112025,Closed,Article,"Behboudian, Massoud; Kerachian, Reza","Behboudian, Massoud (Ph.D. Candidate, School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: behboodian@ut.ac.ir.); Kerachian, Reza (Professor, School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: kerachian@ut.ac.ir.)","Kerachian, Reza (University of Tehran)","Behboudian, Massoud (University of Tehran); Kerachian, Reza (University of Tehran)",28,23,0.88,8.8,,https://app.dimensions.ai/details/publication/pub.1135161579,37 Earth Sciences; 3707 Hydrology,15 Life on Land
4447,pub.1155934455,10.1016/j.jenvman.2023.117657,36878061,,Using the colour of recent overbank sediment deposits in two large catchments to determine sediment sources for targeting mitigation of catchment-specific management issues,"The effective management of sediment losses in large river systems is essential for maintaining the water resources and ecosystem services they provide. However, budgetary, and logistical constraints often mean that the understanding of catchment sediment dynamics necessary to deliver targeted management is unavailable. This study trials the collection of accessible recently deposited overbank sediment and the measurement of its colour using an office document scanner to identify the evolution of sediment sources rapidly and inexpensively in two large river catchments in the UK. The River Wye catchment has experienced significant clean-up costs associated with post-flood fine sediment deposits in both rural and urban areas. In the River South Tyne, fine sand is fouling potable water extraction and fine silts degrade salmonid spawning habitats. In both catchments, samples of recently deposited overbank sediment were collected, fractionated to either <25 μm or 63-250 μm, and treated with hydrogen peroxide to remove organic matter before colour measurement. In the River Wye catchment, an increased contribution from sources over the geological units present in a downstream direction was identified and was attributed to an increasing proportion of arable land. Numerous tributaries draining different geologies allowed for overbank sediment to characterise material on this basis. In the River South Tyne catchment, a downstream change in sediment source was initially found. The River East Allen was identified as a representative and practical tributary sub-catchment for further investigation. The collection of samples of channel bank material and topsoils therein allowed channel banks to be identified as the dominant sediment source with an increasing but small contribution from topsoils in a downstream direction. In both study catchments, the colour of overbank sediments could quickly and inexpensively inform the improved targeting of catchment management measures.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper Acknowledgements We gratefully acknowledge the funding awarded to ALC from Northumbrian Water and the Coal Authority via the Tyne Rivers Trust for the work on the River South Tyne catchment and the UKRI-NERC (UK Research and Innovation-Natural Environment Research Council) Urgency grant award NE/V007262/1 for the work on the River Wye. We also gratefully acknowledge Jack Bloomer and the staff at the Tyne Rivers trust for their help in planning and carrying out the sampling. Rothamsted Research receives strategic funding from UKRI-BBSRC (UK Research and Innovation- Biotechnology and Biological Sciences Research Council) and the production of this paper was supported by the institute strategic programme grant award BBS/E/C/000I0330. The authors thank the landowners in both study catchments.,,Journal of Environmental Management,,,Ecosystem; Color; Floods; Geologic Sediments,2023-03-04,2023,2023-03-04,2023-06,336,,117657,All OA; Hybrid,Article,"Pulley, S.; Collins, A.L.","Pulley, S. (Net Zero and Resilient Farming, Rothamsted Research, North Wyke, Okehampton, Devon, EX20 2SB, UK); Collins, A.L. (Net Zero and Resilient Farming, Rothamsted Research, North Wyke, Okehampton, Devon, EX20 2SB, UK)","Collins, A.L. (Rothamsted Research)","Pulley, S. (Rothamsted Research); Collins, A.L. (Rothamsted Research)",1,1,,,https://doi.org/10.1016/j.jenvman.2023.117657,https://app.dimensions.ai/details/publication/pub.1155934455,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,15 Life on Land
4445,pub.1108030685,10.1016/j.scitotenv.2018.11.036,30439696,,Joint optimization of water allocation and water quality management in Haihe River basin,"A hydroeconomic optimization modelling framework for joint water allocation and water quality management is presented in this study. Water resources planning is often limited to water quantity, even though water quantity and quality are interdependent. Including water quality in a hydroeconomic optimization model increases complexity and uncertainty. In this study, the problem is addressed with a multi-reservoir, multi-temporal, multi-objective linear optimization model with fixed but spatially variable water quality. Model complexity is kept at a manageable level, leading to limited demand for computational resources, despite a high spatial resolution and representation of both surface water and groundwater resources. The model is applied to Haihe River basin, a water-scarce and highly polluted river basin in China. Economic trade-offs between limiting groundwater overdraft and sub-basin specific costs as well as maps of water availability shadow prices are presented. Adding water quality to the model framework impacts water availability shadow prices, which can influence model-based decision support. If groundwater abstractions are limited to sustainable levels, Haihe River basin will benefit from increasing inter-basins transfers and groundwater recharge to the shallow plain area aquifer. A scenario analysis showed that managed aquifer recharge in the plain area is also a feasible adaptation strategy.",Liu Suxia and Mo Xingguo were supported by the National Key Research and Development Program of China (No. 2016YFC0401402) and National Natural Science Foundation of China (No. 41471026). The author would further like to thank the Sino-Danish Center for Education and Research for financial support.,,The Science of The Total Environment,,,,2018-11-05,2018,2018-11-05,2019-03,654,,72-84,All OA; Green,Article,"Martinsen, Grith; Liu, Suxia; Mo, Xingguo; Bauer-Gottwein, Peter","Martinsen, Grith (Department of Environmental Engineering, Technical University of Denmark, Denmark; Sino-Danish Center for Education and Research, Aarhus, Denmark and University of Chinese Academy of Sciences, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China. Electronic address: grma@env.dtu.dk.); Liu, Suxia (Sino-Danish Center for Education and Research, Aarhus, Denmark and University of Chinese Academy of Sciences, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China.); Mo, Xingguo (Sino-Danish Center for Education and Research, Aarhus, Denmark and University of Chinese Academy of Sciences, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China.); Bauer-Gottwein, Peter (Department of Environmental Engineering, Technical University of Denmark, Denmark; Sino-Danish Center for Education and Research, Aarhus, Denmark and University of Chinese Academy of Sciences, China.)","Martinsen, Grith (Technical University of Denmark; Sino-Danish Centre for Education and Research; Institute of Geographic Sciences and Natural Resources Research)","Martinsen, Grith (Technical University of Denmark; Sino-Danish Centre for Education and Research; Institute of Geographic Sciences and Natural Resources Research); Liu, Suxia (Sino-Danish Centre for Education and Research; Institute of Geographic Sciences and Natural Resources Research); Mo, Xingguo (Sino-Danish Centre for Education and Research; Institute of Geographic Sciences and Natural Resources Research); Bauer-Gottwein, Peter (Technical University of Denmark; Sino-Danish Centre for Education and Research)",33,19,0.97,8.44,https://backend.orbit.dtu.dk/ws/files/169848862/Manuscript.pdf,https://app.dimensions.ai/details/publication/pub.1108030685,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4441,pub.1150271094,10.1007/s10661-022-10164-y,35972589,,"Surface water and groundwater interaction in the Vredefort Dome, South Africa: a stable isotope and multivariate statistical approach","The growing importance of groundwater as a freshwater supply in semi-arid areas such as the Vredefort Dome World Heritage Site (VDWHS) demands the judicious management and development of this vital resource. The increased demand for groundwater due to the contamination of surface water, coupled with the lack of information on hydrological interaction and associated water quality implications, present difficulties in establishing management strategies. An integrated study based on hydrochemistry and multivariate statistical techniques supplemented by environmental isotopes delineated discrete areas of surface water and groundwater interaction in a fractured-rock terrain. Surface water loss was observed in sections that exhibited declining groundwater levels, whereas limited baseflow was restricted to zones with stable groundwater levels. The multivariate statistical analysis revealed the combined effect of natural hydrochemical processes and anthropogenic sources as controlling factors of water composition, and highlighted zones of aquifer-river water mixing, where certain areas were found to be additionally polluted by human-derived contaminants. The stable isotope (18O and 2H) ratios confirm mixing between depleted groundwater and enriched river water, producing a composition that reflected an integration of the isotopic variations. The continuous wastewater discharge into the Vaal River combined with the increased groundwater exploitation may be prompting induced recharge conditions. The results suggest compartmentalization of the groundwater systems, where certain areas  within 1 km of the channel were not influenced by river-induced contamination. This indicates that hydrological connectivity is governed by site-specific hydraulic properties. This study shows the usefulness of a multi-method approach by combining environmental isotopes, hydrochemistry, and multivariate statistics to characterize hydrological linkage in semi-arid regions.","The authors express their sincere gratitude to the South African Weather Services, Council for Geosciences, National Groundwater Information System, and the North West University Center for Environmental Management for supplying various databases. Many thanks to the School of Geosciences (University of the Witwatersrand) for logistical support and assistance, as well as Mr. Byron Fynn for helping with fieldwork and logistics. The authors are also thankful to the landowners, managers, and farm workers in the Vredefort Dome World Heritage Site who assisted with accessing sites.",This work is based on the research supported in part by the National Research Foundation (NRF) of South Africa (Grant number (UID) 129000).,Environmental Monitoring and Assessment,,,"Environmental Monitoring; Groundwater; Humans; Hydrology; Isotopes; South Africa; Water Pollutants, Chemical",2022-08-16,2022,2022-08-16,2022-10,194,10,672,Closed,Article,"Welgus, Marcja N.; Abiye, Tamiru A.","Welgus, Marcja N. (School of Geosciences, University of the Witwatersrand, Private Bag X3, P.O. Box Wits 2050, Johannesburg, South Africa); Abiye, Tamiru A. (School of Geosciences, University of the Witwatersrand, Private Bag X3, P.O. Box Wits 2050, Johannesburg, South Africa)","Welgus, Marcja N. (University of the Witwatersrand)","Welgus, Marcja N. (University of the Witwatersrand); Abiye, Tamiru A. (University of the Witwatersrand)",2,2,0.48,1.22,,https://app.dimensions.ai/details/publication/pub.1150271094,37 Earth Sciences; 3705 Geology; 3707 Hydrology,6 Clean Water and Sanitation
4440,pub.1159753715,10.1007/s10653-023-01643-3,37312004,PMC10403451,"Spatial investigation of water quality and estimation of groundwater pollution along the main stream in the Geum River Basin, Korea","This study aims to identify spatially water quality distribution of groundwater and surface water in reservoirs, and comprehensively to address possible influencing factors. The concentration of NO3 in the reservoirs along the main stream of the Geum River was generally lower than that in groundwater. The pollution level of the reservoir, especially the particulate pollutant SS, clearly showed seasonal variations and increased significantly downstream. The H-3 concentration of the groundwater was high in the plains and low in the mountain areas, indicating a difference in residence time between the two regions. The hydrochemical properties and factor loading values of the principal components indicated that the major factors were water‒rock interactions and residence time, but a positive correlation of K-NO3 and Mg-Cl showed the influence of agricultural activities. The main groundwater pollutants were likely to be contributed by agricultural activities at upstream and seawater intrusion at downstream. The sensitive redox species uranium in the groundwater of this region existed as the uranyl ion, and it showed a positive correlation with HCO3, pH, and Ca. The results emphasize the importance of monitoring both tributaries and groundwater together in order to effectively manage the water quality of the Geum River basin.","This work was supported by the Basic Research Project (22–3411) of the Korea Institute of Geoscience and Mineral Resources (KIGAM), funded by the Ministry of Science and Information and Communications Technology. We thank the other members of the Groundwater Research Center at KIGAM for their help with system setup and operation, data acquisition, and sample analyses.",This research was supported by the Basic Research Project of Korea Institute of Geoscience and Mineral Resources (KIGAM).,Environmental Geochemistry and Health,,,"Water Quality; Geum; Environmental Monitoring; Water Pollutants, Chemical; Groundwater; Environmental Pollutants; Republic of Korea",2023-06-13,2023,2023-06-13,2023-08,45,8,6387-6406,All OA; Hybrid,Article,"Choi, Hanna; Koh, Dong-Chan; Yoon, Yoon Yeol","Choi, Hanna (Climate Change Response Division, Korea Institute of Geoscience and Mineral Resources, Gwahak-ro 124, Yuseong-gu, 34132, Daejeon, Korea); Koh, Dong-Chan (Climate Change Response Division, Korea Institute of Geoscience and Mineral Resources, Gwahak-ro 124, Yuseong-gu, 34132, Daejeon, Korea); Yoon, Yoon Yeol (Climate Change Response Division, Korea Institute of Geoscience and Mineral Resources, Gwahak-ro 124, Yuseong-gu, 34132, Daejeon, Korea)","Yoon, Yoon Yeol (Korea Institute of Geoscience and Mineral Resources)","Choi, Hanna (Korea Institute of Geoscience and Mineral Resources); Koh, Dong-Chan (Korea Institute of Geoscience and Mineral Resources); Yoon, Yoon Yeol (Korea Institute of Geoscience and Mineral Resources)",0,0,,,https://link.springer.com/content/pdf/10.1007/s10653-023-01643-3.pdf,https://app.dimensions.ai/details/publication/pub.1159753715,37 Earth Sciences; 3707 Hydrology,
4438,pub.1146589352,10.1016/j.dib.2022.108096,35434213,PMC9011031,"Dataset of physico-chemical water parameters, phytoplankton, flora and fauna in mangrove ecosystem at Sungai Kertih, Terengganu, Malaysia","This data article presents the composition of selected physico-chemical water parameters, phytoplankton, flora and fauna in Sungai Kertih, Terengganu, Malaysia. Sungai Kertih is surrounded by mangrove forest and located nearby to a coastal hill namely Bukit Labohan that supports vast biological resources to its adjacent inhabitants. Therefore, a biodiversity and environmental assessment was conducted in Sungai Kertih from 19-21 August 2019 to document the biodiversity and physico-chemical water parameters of the river. The dataset show that Sungai Kertih is occupied by 14 tree mangrove species, 43 phytoplankton species, 21 bivalve species, 10 crustacean species, five amphibian species and eight reptilian species. The obtained physico-chemicals water parameters data were the value of pH, total dissolved solids, dissolved oxygen, temperature, salinity and electrical conductivity. Understanding the influence of physical and chemical properties on biological resources in coastal ecosystem is one of important in river conservation and management practices. Thus, this baseline dataset can be utilized for further reference and monitoring the health of the environment in the mangrove ecosystem.","We thank the Universiti Malaysia Terengganu (UMT) for the administration and logistic support. We also would like to express a high gratitude to the ecoCare Environmental Education Centre, Malaysian Nature Society (MNS) for the accommodation and field assistant support. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.",,Data in Brief,,,,2022-03-26,2022,2022-03-26,2022-06,42,,108096,All OA; Gold,Article,"Nor, Siti Mariam Muhammad; Jaafar, Maisarah; Jaafar, Nik Mohd Shibli Nik; Redzuan, Nurul Shahida; Omar, Wan Bayani Wan; Deraman, Muhammad Yazid; Azli, Siti Nur Syasya Nadhirah; Shehrom, Nur Adilla; Mahyudin, 'Ainna; Bahari, Nor Ain; Zulkafli, Nurul Nadhirah; Jaafar, Nur Faezati; Ma'ad, Siti Nur Syaza; Zamri, Mohammad Izuan Mohd; Amirudin, Azrun; Abdullah, Nur Ain; Zakaria, Nurulhuda","Nor, Siti Mariam Muhammad (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia; Coastal and Mangrove Mitigation Group (CoasMag), Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu); Jaafar, Maisarah (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia; Coastal and Mangrove Mitigation Group (CoasMag), Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu); Jaafar, Nik Mohd Shibli Nik (Malaysian Nature Society, ecoCare Environmental Education Centre, Kampung Labohan, 24300 Kertih, Kemaman, Terengganu, Malaysia); Redzuan, Nurul Shahida (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Omar, Wan Bayani Wan (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Deraman, Muhammad Yazid (Malaysian Nature Society, ecoCare Environmental Education Centre, Kampung Labohan, 24300 Kertih, Kemaman, Terengganu, Malaysia); Azli, Siti Nur Syasya Nadhirah (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Shehrom, Nur Adilla (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Mahyudin, 'Ainna (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Bahari, Nor Ain (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Zulkafli, Nurul Nadhirah (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Jaafar, Nur Faezati (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Ma'ad, Siti Nur Syaza (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Zamri, Mohammad Izuan Mohd (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Amirudin, Azrun (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Abdullah, Nur Ain (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia); Zakaria, Nurulhuda (Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia)","Zakaria, Nurulhuda (Universiti Malaysia Terengganu)","Nor, Siti Mariam Muhammad (Universiti Malaysia Terengganu; Universiti Malaysia Terengganu); Jaafar, Maisarah (Universiti Malaysia Terengganu; Universiti Malaysia Terengganu); Jaafar, Nik Mohd Shibli Nik (Malaysian Nature Society, ecoCare Environmental Education Centre, Kampung Labohan, 24300 Kertih, Kemaman, Terengganu, Malaysia); Redzuan, Nurul Shahida (Universiti Malaysia Terengganu); Omar, Wan Bayani Wan (Universiti Malaysia Terengganu); Deraman, Muhammad Yazid (Malaysian Nature Society, ecoCare Environmental Education Centre, Kampung Labohan, 24300 Kertih, Kemaman, Terengganu, Malaysia); Azli, Siti Nur Syasya Nadhirah (Universiti Malaysia Terengganu); Shehrom, Nur Adilla (Universiti Malaysia Terengganu); Mahyudin, 'Ainna (Universiti Malaysia Terengganu); Bahari, Nor Ain (Universiti Malaysia Terengganu); Zulkafli, Nurul Nadhirah (Universiti Malaysia Terengganu); Jaafar, Nur Faezati (Universiti Malaysia Terengganu); Ma'ad, Siti Nur Syaza (Universiti Malaysia Terengganu); Zamri, Mohammad Izuan Mohd (Universiti Malaysia Terengganu); Amirudin, Azrun (Universiti Malaysia Terengganu); Abdullah, Nur Ain (Universiti Malaysia Terengganu); Zakaria, Nurulhuda (Universiti Malaysia Terengganu)",3,3,0.8,2.52,https://doi.org/10.1016/j.dib.2022.108096,https://app.dimensions.ai/details/publication/pub.1146589352,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences,15 Life on Land
4437,pub.1144900559,10.1016/j.jenvman.2022.114503,35078064,,"A benthic invertebrates-based biotic index to assess the ecological status of West African Sahel Rivers, Burkina Faso","Conserving aquatic resources in the West African Sahel requires water management tools to assess the ecological status of surface water bodies threatened by mounting pressures from agricultural intensification and urbanization. Macroinvertebrate communities of Sahelian rivers were examined to test if a multi-metric index approach could be developed to assess the ecological quality of rivers. A total of 40 sample sites falling within a continuum ranging from ""unimpaired reference sites"" to ""impaired sites"" were assessed during this study. Macroinvertebrates were sampled with a hand net following a multi-habitat sampling approach. Key environmental parameters, both physico-chemical and hydro-morphologic, were recorded. More than 20 candidate metrics were evaluated in four categories: composition, functional feeding, diversity, and tolerance. We used detailed analysis procedures to exclude unsuitable metrics from the data set. After excluding redundant metrics, six-core metrics were selected to compose the Sahel River Multimetric Index (SRMI): Total-taxa, Shannon & Weiner index, EPT-taxa, ASPT-NEPBIOS and ASPT-SASS and Collector-filterers. The final index derived from these metrics was divided into five ecological quality classes (high, good, moderate, poor, and bad). The results showed that the SRMI responded to a set of environmental parameters associated with a gradient of human pressures affecting the ecological integrity of water bodies (R2≥|0.50|; p < 0.05; p < 0.001). This work produced a data base and analysis that confirms the usefulness of an unprecedented and promising tool for biological monitoring and decision-making in Sahelian regions' water management.","The study was embedded in the APPEAR program (Austrian Partnership Programme in Higher Education and Research for Development), funded by the ADA (Austrian Development Agency) and implemented by the OEAD (Austrian Agency for International Cooperation in Education and Research). We are grateful to all of them. We are also thankful for the cooperation with the IUCN (Afrique Centrale et de l’Ouest) the fisheries department, Ouédraogo Idrissa, Ouédraogo Illassa, Sirima Djidama for supporting the field studies. Additionally, we are grateful to Dr. Jan Sendzimir for his valuable comments and English proofreading. We also thank Dr. Maria Alp and the anonymous reviewers for many suggestions, which essentially helped to improve the manuscript. This study was performed as a part of the Austrian APPEAR project Sustainable Management of Water and Fish Resources in Burkina Faso (SUSFISH, www.susfish.boku.ac.at). SUSFISH is to “strengthen in-country capacities for science, policy and practice to establish the basis for sustainable fisheries in Burkina Faso”.",,Journal of Environmental Management,,,Animals; Burkina Faso; Ecosystem; Environmental Monitoring; Humans; Invertebrates; Rivers,2022-01-22,2022,2022-01-22,2022-04,307,,114503,Closed,Article,"Kaboré, Idrissa; Ouéda, A.; Moog, O.; Meulenbroek, P.; Tampo, L.; Bancé, V.; Melcher, A.H.","Kaboré, Idrissa (Université Joseph KI-ZERBO, Laboratoire de Biologie et Ecologie Animales (LBEA), 03 BP 7021, Ouagadougou, Burkina Faso); Ouéda, A. (Université Joseph KI-ZERBO, Laboratoire de Biologie et Ecologie Animales (LBEA), 03 BP 7021, Ouagadougou, Burkina Faso); Moog, O. (University of Natural Resources and Life Sciences, Vienna (BOKU), Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), Gregor-Mendel-strasse 33/DG, 1180, Vienna, Austria); Meulenbroek, P. (University of Natural Resources and Life Sciences, Vienna (BOKU), Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), Gregor-Mendel-strasse 33/DG, 1180, Vienna, Austria; WasserCluster Lunz-biologische Station, Lunz am See, Austria); Tampo, L. (University of Lomé, Faculty of Sciences, Laboratory of Applied Hydrology and Environment, BP1515, Lomé, Togo); Bancé, V. (Université Joseph KI-ZERBO, Laboratoire de Biologie et Ecologie Animales (LBEA), 03 BP 7021, Ouagadougou, Burkina Faso); Melcher, A.H. (University of Natural Resources and Life Sciences, Vienna (BOKU), Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), Gregor-Mendel-strasse 33/DG, 1180, Vienna, Austria; University of Natural Resources and Life Sciences, Vienna (BOKU), Institute for Development Research, Vienna, Austria)","Kaboré, Idrissa (Université Joseph Ki-Zerbo); Melcher, A.H. (University of Natural Resources and Life Sciences; University of Natural Resources and Life Sciences)","Kaboré, Idrissa (Université Joseph Ki-Zerbo); Ouéda, A. (Université Joseph Ki-Zerbo); Moog, O. (University of Natural Resources and Life Sciences); Meulenbroek, P. (University of Natural Resources and Life Sciences; WasserCluster Lunz-biologische Station, Lunz am See, Austria); Tampo, L. (University of Lomé); Bancé, V. (Université Joseph Ki-Zerbo); Melcher, A.H. (University of Natural Resources and Life Sciences; University of Natural Resources and Life Sciences)",16,16,3.75,9.9,,https://app.dimensions.ai/details/publication/pub.1144900559,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4436,pub.1148033749,10.1371/journal.pone.0266871,35594277,PMC9122258,Assessing climate change impacts on Pacific salmon and trout using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions,"Pacific salmon and trout populations are affected by timber harvest, the removal and alteration of riparian vegetation, and the resulting physical changes to water quality, temperature, and associated delivery of high-quality terrestrial prey. Juvenile salmon and trout growth, a key predictor of survival, is poorly understood in the context of current and future (climate-change mediated) conditions, with resource managers needing information on how land use will impact future river conditions for these commercially and culturally important species. We used the Heat Source water temperature modeling framework to develop a spatiotemporal model to assess how riparian canopy and vegetation preservation and addition could influence river temperatures under future climate predictions in a coastal river fed by a moraine-dammed lake: the Quinault River in Washington State. The model predicted higher water temperatures under future carbon emission projections, representative concentration pathway (RCP) 4.5 and 8.5, with varying magnitude based on different riparian vegetation scenarios. We used the daily average temperature output from these scenarios to predict potential juvenile fish growth using the Wisconsin bioenergetics model. A combination of riparian vegetation removal and continued high carbon emissions resulted in a predicted seven-day average daily maximum temperature (7DADM) increase of 1.7°C in the lower river by 2080; increases in riparian shading mitigate this 7DADM increase to only 0.9°C. Under the current thermal regime, bioenergetics modeling predicts juvenile fish lose weight in the lower river; this loss of potential growth worsens by an average of 20-83% in the lower river by 2080, increasing with the loss of riparian shading. This study assess the impact of riparian vegetation management on future thermal habitat for Pacific salmon and trout under warming climates and provide a useful spatially explicit modeling framework that managers can use to make decisions regarding riparian vegetation management and its mechanistic impact to water temperature and rearing juvenile fish.","We thank the Quinault Indian Nation for access to their land, to the river, and for providing technical support to conduct this work. We thank Alison Tecca and Ryan Miller for collecting temperature and discharge data in the field. We additionally thank the multiple reviewers of this manuscript for their constructive peer review that vastly improved this manuscript. Any use of trade, product or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.","This study was funded by the Quinault Indian Nation and through the USGScooperative matching fund. Study design, data collection, execution, and manuscript preparation were completed by the US Geological Survey and Quinault Indian Nation scientists.",PLOS ONE,,Vanesa Magar,Animals; Carbon; Climate Change; Ecosystem; Energy Metabolism; Oncorhynchus; Rivers; Salmon; Temperature; Trout,2022-05-20,2022,2022-05-20,,17,5,e0266871,All OA; Gold,Article,"Spanjer, Andrew R.; Gendaszek, Andrew S.; Wulfkuhle, Elyse J.; Black, Robert W.; Jaeger, Kristin L.","Spanjer, Andrew R. (U.S. Geological Survey, Washington Water Science Center, Tacoma, WA, United States of America); Gendaszek, Andrew S. (U.S. Geological Survey, Washington Water Science Center, Tacoma, WA, United States of America); Wulfkuhle, Elyse J. (Department of Natural Resources, Quinault Indian Nation, Taholah, WA, United States of America); Black, Robert W. (U.S. Geological Survey, Washington Water Science Center, Tacoma, WA, United States of America); Jaeger, Kristin L. (U.S. Geological Survey, Washington Water Science Center, Tacoma, WA, United States of America)","Spanjer, Andrew R. (United States Geological Survey)","Spanjer, Andrew R. (United States Geological Survey); Gendaszek, Andrew S. (United States Geological Survey); Wulfkuhle, Elyse J. (Louisiana Department of Natural Resources); Black, Robert W. (United States Geological Survey); Jaeger, Kristin L. (United States Geological Survey)",6,6,0.37,4.82,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0266871&type=printable,https://app.dimensions.ai/details/publication/pub.1148033749,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences; 31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences",13 Climate Action; 15 Life on Land
4431,pub.1001757267,10.1007/s00267-016-0734-y,27357809,,River Water Pollution Status and Water Policy Scenario in Ethiopia: Raising Awareness for Better Implementation in Developing Countries,"Despite the increasing levels of pollution in many tropical African countries, not much is known about the strength and weaknesses of policy and institutional frameworks to tackle pollution and ecological status of rivers and their impacts on the biota. We investigated the ecological status of four large river basins using physicochemical water quality parameters and bioindicators by collecting samples from forest, agriculture, and urban landscapes of the Nile, Omo-Gibe, Tekeze, and Awash River basins in Ethiopia. We also assessed the water policy scenario to evaluate its appropriateness to prevent and control pollution. To investigate the level of understanding and implementation of regulatory frameworks and policies related to water resources, we reviewed the policy documents and conducted in-depth interviews of the stakeholders. Physicochemical and biological data revealed that there is significant water quality deterioration at the impacted sites (agriculture, coffee processing, and urban landscapes) compared to reference sites (forested landscapes) in all four basins. The analysis of legal, policy, and institutional framework showed a lack of cooperation between stakeholders, lack of knowledge of the policy documents, absence of enforcement strategies, unavailability of appropriate working guidelines, and disconnected institutional setup at the grass root level to implement the set strategies as the major problems. In conclusion, river water pollution is a growing challenge and needs urgent action to implement intersectoral collaboration for water resource management that will eventually lead toward integrated watershed management. Revision of policy and increasing the awareness and participation of implementers are vital to improve ecological quality of rivers.","The authors are grateful to Vlaamse Interuniversitaire Raad (VLIR) for funding the PhD scholarship of Aymere Awoke Assayie and the Vrije Universiteit Brussel (VUB, BAS42) and Jimma University, Ethiopia for financial and logistic support.",,Environmental Management,,,Agriculture; Conservation of Natural Resources; Developing Countries; Environmental Monitoring; Ethiopia; Rivers; Water Pollution; Water Quality,2016-06-30,2016,2016-06-30,2016-10,58,4,694-706,Closed,Article,"Awoke, Aymere; Beyene, Abebe; Kloos, Helmut; Goethals, Peter L.M.; Triest, Ludwig","Awoke, Aymere (Department of Environmental Health Sciences and Technology, Jimma University, P.O. Box 378, Jimma, Ethiopia; Department of Biology, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium); Beyene, Abebe (Department of Environmental Health Sciences and Technology, Jimma University, P.O. Box 378, Jimma, Ethiopia); Kloos, Helmut (Department of Epidemiology and Biostatistics, University of California, 185 Berry Street, Box 0560, 94143-0560, San Francisco, CA, USA); Goethals, Peter L.M. (Laboratory of Environmental Toxicology and Aquatic Ecology, Ghent University, J. Plateaustraat 22, 9000, Ghent, Belgium); Triest, Ludwig (Department of Biology, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium)","Awoke, Aymere (Jimma University; Vrije Universiteit Brussel)","Awoke, Aymere (Jimma University; Vrije Universiteit Brussel); Beyene, Abebe (Jimma University); Kloos, Helmut (University of California, San Francisco); Goethals, Peter L.M. (Ghent University); Triest, Ludwig (Vrije Universiteit Brussel)",50,23,0.86,6.52,,https://app.dimensions.ai/details/publication/pub.1001757267,41 Environmental Sciences; 4104 Environmental Management,
4427,pub.1153547315,10.3390/ijerph192416470,36554350,PMC9778570,The Impact Evaluation of Acid Mine Drainage on Zebrafish (Danio rerio) and Water Fleas (Daphnia magna) in the Vicinity of the Geum River Basin in Korea,"Heavy metals, such as copper, lead, and cadmium, carried by acid mine drainage are pollutants of the aquatic ecosystem, posing a significant health risk to the water resource for humans. Environmental technologies to reduce metal contamination are applied for post-mining prevention and improvement. Despite detailed pollution management, water contaminated by heavy metals still flows into the natural water system. This study investigated the impact of drainage discharged from abandoned mines near the major river in South Korea on aquatic organisms. The toxicity of the field water showed a more significant effect than observed through the experiment for each heavy-metal concentration. Various toxic substances coexisted in the field water around the mine, such that the overall toxic intensity was high even when the concentration of each heavy metal was low. As a result, the inhibition of activity of aquatic organisms was observed at low individual concentrations, and further investigation on the effect of long-term exposure to trace amounts of heavy metals is required.",,This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2022R1I1A1A01052986).,International Journal of Environmental Research and Public Health,,"Roel Vermeulen, Lauren Petrick, Maaike van Gerwen","Animals; Humans; Zebrafish; Daphnia; Rivers; Geum; Ecosystem; Cladocera; Environmental Monitoring; Metals, Heavy; Aquatic Organisms; Water Pollutants, Chemical",2022-12-08,2022,2022-12-08,,19,24,16470,All OA; Gold,Article,"Yoon, Hyojik; Yoon, Jonghyun","Yoon, Hyojik (Institute of Natural and Science, College of Science and Technology, Korea University, Sejong 30019, Republic of Korea); Yoon, Jonghyun (National Institute of Environmental Research, Incheon 22689, Republic of Korea)","Yoon, Hyojik (Korea University)","Yoon, Hyojik (Korea University); Yoon, Jonghyun (National Institute of Environmental Research)",3,3,0.36,1.27,https://www.mdpi.com/1660-4601/19/24/16470/pdf?version=1670493526,https://app.dimensions.ai/details/publication/pub.1153547315,41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management; 4105 Pollution and Contamination,
4418,pub.1155929263,10.1016/j.envres.2023.115596,36871946,,Hydrochemical variations and driving mechanisms in a large linked river-irrigation-lake system,"A linked river-irrigation-lake system exhibits intricate and dynamic hydrochemical variations, closely related to changes in natural conditions and anthropogenic activities. However, little is known about the sources, migration and transformation of hydrochemical composition, and the driving mechanisms, in such systems. In this study, the hydrochemical characteristics and processes in the linked Yellow River-Hetao Irrigation District-Lake Ulansuhai system were studied, based on a comprehensive hydrochemical and stable isotope analysis of water samples collected during spring, summer, and autumn. The results showed that the water bodies in the system were weakly alkaline with a pH range of 8.05-8.49. The concentrations of hydrochemical ions showed an increasing trend in the water flow direction. Total dissolved solids (TDS) were less than 1000 mg/L (freshwater) in the Yellow River and the irrigation canals, and increased to more than 1800 mg/L (saltwater) in the drainage ditches and Lake Ulansuhai. The dominant hydrochemical types varied from SO4•Cl-Ca•Mg and HCO3-Ca•Mg types in the Yellow River and the irrigation canals to Cl-Na type in the drainage ditches and Lake Ulansuhai. The ion concentrations in the Yellow River, the irrigation canals, and the drainage ditches were highest during summer, while ion concentrations in Lake Ulansuhai were highest during spring. The hydrochemistry of the Yellow River and the irrigation canals was mainly affected by rock weathering, while evaporation was the principal controlling factor in the drainage ditches and Lake Ulansuhai. Water-rock interactions including the dissolution of evaporites and silicates, the precipitation of carbonates, and cation exchange were the main sources of hydrochemical compositions in this system. Anthropogenic inputs had a low impact on the hydrochemistry. Therefore, greater attention should be paid in future to hydrochemical variations, especially salt ions, in the management of linked river-irrigation-lake system water resources.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This research was funded by the National Natural Science Foundation of China (Grant Nos. 52279067 and 51869014), National Key Research and Development Program of China (Grant No. 2021YFC3201203), Major Science and Technology Projects of Inner Mongolia Autonomous Region (Grant No. 2020ZD0009), Open Project Program of the Ministry of Education Key Laboratory of Ecology and Resources Use of the Mongolian Plateau (Grant No. KF2020006), and Project of Key Laboratory of River and Lake in Inner Mongolia Autonomous Region.",,Environmental Research,,,"Lakes; Rivers; Environmental Monitoring; Water Pollutants, Chemical; Water Quality; Water; Groundwater; China",2023-03-03,2023,2023-03-03,2023-05,225,,115596,Closed,Article,"Ren, Xiaohui; Zhang, Zhonghua; Yu, Ruihong; Li, Yuan; Li, Yang; Zhao, Yuanzhen","Ren, Xiaohui (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.); Zhang, Zhonghua (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.); Yu, Ruihong (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Key Laboratory of Mongolian Plateau Ecology and Resource Utilization, Ministry of Education, Hohhot, 010021, China; Autonomous Region Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, 010018, China. Electronic address: rhyu@imu.edu.cn.); Li, Yuan (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.); Li, Yang (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.); Zhao, Yuanzhen (Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China.)","Yu, Ruihong (Inner Mongolia University; Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Key Laboratory of Mongolian Plateau Ecology and Resource Utilization, Ministry of Education, Hohhot, 010021, China; Autonomous Region Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, 010018, China. Electronic address: rhyu@imu.edu.cn.)","Ren, Xiaohui (Inner Mongolia University); Zhang, Zhonghua (Inner Mongolia University); Yu, Ruihong (Inner Mongolia University; Inner Mongolia Key Laboratory of River and Lake Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Key Laboratory of Mongolian Plateau Ecology and Resource Utilization, Ministry of Education, Hohhot, 010021, China; Autonomous Region Collaborative Innovation Center for Integrated Management of Water Resources and Water Environment in the Inner Mongolia Reaches of the Yellow River, Hohhot, 010018, China. Electronic address: rhyu@imu.edu.cn.); Li, Yuan (Inner Mongolia University); Li, Yang (Inner Mongolia University); Zhao, Yuanzhen (Inner Mongolia University)",5,5,,,,https://app.dimensions.ai/details/publication/pub.1155929263,41 Environmental Sciences,
4418,pub.1154600499,10.1007/s00267-022-01778-6,36650383,PMC10287770,"An Analysis of Hydromorphological Index for Rivers (HIR) Model Components, Based on a Hydromorphological Assessment of Watercourses in the Central European Plain","Assessing the hydromorphological conditions of watercourses is a requirement of the Water Framework Directive (WFD) and national river status monitors (e.g., in Poland,the State Environmental Monitoring, and Water Monitoring coordinated by Chief Inspectorate of Environmental Protection). This paper evaluates the hydromorphological status of 10 watercourses (30 measurement sections) in Poland based on the multimetric Hydromorphological Index for Rivers (HIR). A new approach to the delineation of the river valley (small watercourses) is proposed. An analysis of the influence of river valley management on the value of HIR and its components was carried out using statistical methods (basic statistics, Mann–Whitney U Test and Ward’s cluster analysis). In addition, the relationship between the components of the HDS (Hydromorphological Diversity Score) and HMS (Hydromorphological Modification Score) was analyzed (Spearman’s Rank Correlation Coefficient). HIR values for the watercourse sections ranged from 0.553 to 0.825. HDS values ranged from 27.5 to 75.5 and HMS from 2.0 to 17.5. The results of the basic statistical analyses showed slight differences between the two river valley delineation methods. The Mann–Whitney U Test showed a significant difference in the test significance level of the HDS, HMS and HIR for the river valley delineation methods. Spearman’s rank correlation analysis showed that most of the HDS and HMS parameters components had a low degree of correlation. The juxtaposition of the two methods for delineating a river valley and its influence on the HIR allows for a better understanding of the interdependence between its parameters.",,"The research was financed under the multiannual program by the Institute of Technology and Life Sciences – National Research Institute Falenty and titled “Engineering and landscaping projects for the innovative, resource-efficient and low-carbon economy in rural areas”, Activity 5 “Information support for preparation, completion and acceptance of land improvement equipment” (154/2016_RM-111-156-16).",Environmental Management,,,Ecosystem; Rivers; Environmental Monitoring; Conservation of Natural Resources; Poland,2023-01-17,2023,2023-01-17,2023-08,72,2,437-455,All OA; Hybrid,Article,"Garbowski, Tomasz; Brysiewicz, Adam; Nosek, Justyna; Bar-Michalczyk, Dominika; Czerniejewski, Przemysław","Garbowski, Tomasz (Institute of Technology and Life Sciences – National Research Institute Falenty, 3 Hrabska Avenue, 05-090, Raszyn, Poland); Brysiewicz, Adam (Institute of Technology and Life Sciences – National Research Institute Falenty, 3 Hrabska Avenue, 05-090, Raszyn, Poland); Nosek, Justyna (Institute of Technology and Life Sciences – National Research Institute Falenty, 3 Hrabska Avenue, 05-090, Raszyn, Poland); Bar-Michalczyk, Dominika (Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Wybickiego 7A Street, 31-261, Cracow, Poland); Czerniejewski, Przemysław (West Pomeranian University of Technology in Szczecin, Department of Commodity, Quality Assessment, Process Engineering and Human Nutrition, 4 Kazimierza Królewicza Street, 71-550, Szczecin, Poland)","Garbowski, Tomasz (Institute of Technology and Life Sciences)","Garbowski, Tomasz (Institute of Technology and Life Sciences); Brysiewicz, Adam (Institute of Technology and Life Sciences); Nosek, Justyna (Institute of Technology and Life Sciences); Bar-Michalczyk, Dominika (Polish Academy of Sciences); Czerniejewski, Przemysław (West Pomeranian University of Technology)",2,2,,,https://link.springer.com/content/pdf/10.1007/s00267-022-01778-6.pdf,https://app.dimensions.ai/details/publication/pub.1154600499,37 Earth Sciences; 3707 Hydrology,
4417,pub.1141042611,10.1371/journal.pone.0257123,34506542,PMC8432845,"Coupling coordination relationship between ecosystem services and water-land resources for the Daguhe River Basin, China","Water and land resource utilization is an important driving force of changes in ecosystem services; therefore, research on multi-parameter coupling systems that consider ""ecosystem services, water resources, and land resources"" together has key significance for river basins. This study aims to reveal the interaction and mutual influence of ecosystem services and water and land resources in the Daguhe River Basin, China, based on the coupling coordination degree model. The results showed that during the period from 2000 to 2010, the coupling coordination degree values for the years 2000, 2005, and 2010 were 0.6005, 0.7292, and 0.8037. The corresponding coupling coordination classifications were categorized as ""primary coordinated development"", ""intermediate coordinated development,"" and ""well-coordinated development"", respectively. These results reflected the fact that the relationship between water and land resource utilization and the environment tends to evolve in the direction of coordinated development (an improvement in one part corresponds to an improvement in another part) with variation in water and land utilization types, and eventually pushes the whole resource, as well as ecological and environmental systems, from low to high levels of coupling coordination degrees as observed in case of the Daguhe River Basin, China. Our research provides an overview of the interaction between ecosystem services and water and land resources in the Daguhe Basin and even in the Shandong Province. With our results, we offer new perspectives on river basin management and for planning future eco-environmental policies (the policy is specifically designed for the ecological environment) by combining water and land resource utilization.","This work was funded by projects of the Chinese Postdoctoral Fund, http://jj.chinapostdoctor.org.cn/V1/Program3/Default.aspx, (founder: China Postdoctoral Science Foundation, no. 2018M630765, received by BS); the Provincial key R&amp;D Program of Shandong, http://www.sdstc.gov.cn/, (founder: Department of Science and Technology of Shandong province, no. 2019GGX101013, received by DY) and Qingdao Postdoctoral Science Foundation, http://hrss.qingdao.gov.cn/n28356070/index.html, (founder: Qingdao Municipal Bureau of Human Resource and Social Security, no. 40100020078, received by JT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to thank the administrative staff of Daguhe in Qingdao city for their assistance in field- and laboratory-work. We also thank Shoutian Li, Gaofang Yu, Jie Tang, and Lin Sun for their valuable contributions.","This work was funded by projects of the Chinese Postdoctoral Fund, http://jj.chinapostdoctor.org.cn/V1/Program3/Default.aspx, (founder: China Postdoctoral Science Foundation, no. 2018M630765, received by BS); the Provincial key R&D Program of Shandong, http://www.sdstc.gov.cn/, (founder: Department of Science and Technology of Shandong province, no. 2019GGX101013, received by DY) and Qingdao Postdoctoral Science Foundation, http://hrss.qingdao.gov.cn/n28356070/index.html, (founder: Qingdao Municipal Bureau of Human Resource and Social Security, no. 40100020078, received by JT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Jose M. Martínez-Paz,China; Ecosystem; Geography; Rivers; Satellite Communications; Statistics as Topic; Water Resources,2021-09-10,2021,2021-09-10,,16,9,e0257123,All OA; Gold,Article,"Sun, Baodi; Tang, Jingchao; Yu, Dehu; Song, Zhiwen","Sun, Baodi (College of Architecture and Urban Planning, Qingdao University of Technology, Qingdao, China); Tang, Jingchao (School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China); Yu, Dehu (School of Civil Engineering, Qingdao University of Technology, Qingdao, China); Song, Zhiwen (School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China)","Yu, Dehu (Qingdao University of Technology)","Sun, Baodi (Qingdao University of Technology); Tang, Jingchao (Qingdao University of Technology); Yu, Dehu (Qingdao University of Technology); Song, Zhiwen (Qingdao University of Technology)",2,2,,1.14,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0257123&type=printable,https://app.dimensions.ai/details/publication/pub.1141042611,37 Earth Sciences; 3704 Geoinformatics; 38 Economics,15 Life on Land
4416,pub.1019392926,10.1016/j.scitotenv.2015.04.106,25957786,,Strategies to reduce water stress in Euro-Mediterranean river basins,"A portfolio of water management strategies now exists to contribute to reach water demand and supply targets. Among them, integrated water resource management has a large potential for reducing water disagreement in water scarcity regions. Many of the strategies are based on well tested choices and technical know-how, with proven benefits for users and environment. This paper considers water management practices that may contribute to reduce disagreement in water scarcity areas, evaluating the management alternatives in the Mediterranean basins of Europe, a region that exemplifies other water scarcity regions in the world. First, we use a model to compute water availability taking into account water management, temporal heterogeneity, spatial heterogeneity and policy options, and then apply this model across 396 river basins. Second, we use a wedge approach to illustrate policy choices for selected river basins: Thrace (Greece), Guadalquivir, Ebro, Tagus and Duero (Spain), Po (Italy) and Rhone (France). At the wide geographical level, the results show the multi-determinant complexities of climate change impacts and adaptation measures and the geographic nature of water resources and vulnerability metrics. At the local level, the results show that optimisation of water management is the dominating strategy for defining adaptation pathways. Results also show great sensitivity to ecological flow provision, suggesting that better attention should be paid to defining methods to estimate minimum ecological flows in water scarcity regions. For all scales, average water resource vulnerability computed by traditional vulnerability indicators may not be the most appropriate measure to inform climate change adaptation policy. This has large implications to applied water resource studies aiming to derive policy choices, and it is especially interesting in basins facing water scarcity. Our research aims to contribute to shape realistic water management options at the regional level and therefore provide information to climate change, agricultural and water policies.","AcknowledgementsThis research was supported by the European Commission WasserMed project (Project reference 244255, funded under FP7-ENVIRONMENT) and the European Commission BASE project (Grant Agreement No. 308337, funded under FP7-ENVIRONMENT).",,The Science of The Total Environment,,,,2015-05-06,2015,2015-05-06,2016-02,543,Pt B,997-1009,Closed,Article,"Garrote, Luis; Granados, Alfredo; Iglesias, Ana","Garrote, Luis (Department of Civil Engineering, Hydraulics, Energy and Environment, Technical University of Madrid (UPM), Spain.); Granados, Alfredo (Department of Civil Engineering, Hydraulics, Energy and Environment, Technical University of Madrid (UPM), Spain.); Iglesias, Ana (Department of Agricultural Economics and Social Sciences, Technical University of Madrid (UPM), Spain.)","Iglesias, Ana (Technical University of Madrid)","Garrote, Luis (Technical University of Madrid); Granados, Alfredo (Technical University of Madrid); Iglesias, Ana (Technical University of Madrid)",35,10,0.4,6.77,,https://app.dimensions.ai/details/publication/pub.1019392926,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,13 Climate Action; 6 Clean Water and Sanitation
4413,pub.1163484900,10.1016/j.scitotenv.2023.166532,37625732,,Characterizing the transitory groundwater-surface water interaction and its environmental consequence of a riverside karst pool,"Exchange between groundwater (GW) and surface water (SW) is a common occurrence in karst water systems through sinking stream disappearance or groundwater emergence. However, the transitory GW-SW interaction caused by river backflowing into a spring is poorly observed and understood. In this study, we present an approach for characterizing the influence of GW-SW interaction in a karst spring by integrating high-resolution hydrology, carefully selected hydrochemistry monitoring and precise microbe measurements. The spring-fed pool water conditions can be distinguished as high, medium, and low-water level periods in a hydrological year. The high-water level accounts for <1 % in a year, while it is associated with the hydrological regimes of backflooding states. The inflow of river backflow was found to be 4.4 times that of the natural discharge of spring water during a rainfall event. The duration of river intrusion into the spring or karst conduit could be assessed by jointly interpreting hydrography and physicochemical signatures, while the lasting environmental consequences should be evaluated together with biotic factors such as Escherichia coli. The GW-SW interaction induced by river backflow has led to the retention of river water in a pool, spring, and karst conduit for 132, 94, and 56 h, respectively. Despite turbidity returning to normal levels after 56 h, E.coli continued to persist for an extended duration. Our study reveals that despite the transient nature of GW-SW induced by river backflow on the hydrograph, they present a lasting risk of contamination from heavy metals, organic matter, and microorganisms. This extended influence can persist within a karst aquifer lacking a hyporheic zone. This research contributes to the quantification of processes involved in transitory GW-SW interaction in a karst spring, and it highlights the underestimation of GW-SW interactions in karst water systems, which might negatively impact water resources management.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This study was funded by National Natural Science Foundation of China (41977168, 42172287) and Guangxi Natural Science Foundation (2020GXNSFDA238013). We thank Fan Liu, Qigang Wang, and Zijie Li for their helps in field work.",,The Science of The Total Environment,,,,2023-08-23,2023,2023-08-23,2023-12,902,,166532,Closed,Article,"Jiang, Guanghui; Guo, Fang; Wei, Liqiong; Li, Wanyi","Jiang, Guanghui (College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China; Key Laboratory of Karst Dynamics, MNR/GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China. Electronic address: bmnxz@126.com.); Guo, Fang (Key Laboratory of Karst Dynamics, MNR/GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China; International Research Centre on Karst under the Auspices of UNESCO, National Center for International Research on Karst Dynamic System and Global Change, Guilin 541004, China. Electronic address: gfkarst@126.com.); Wei, Liqiong (Key Laboratory of Karst Dynamics, MNR/GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China; International Research Centre on Karst under the Auspices of UNESCO, National Center for International Research on Karst Dynamic System and Global Change, Guilin 541004, China.); Li, Wanyi (Key Laboratory of Environmental Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, China.)","Jiang, Guanghui (Guangxi University; Chinese Academy of Geological Sciences); Guo, Fang (Chinese Academy of Geological Sciences; Key Laboratory of Karst Dynamics, MNR/GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China; International Research Centre on Karst under the Auspices of UNESCO, National Center for International Research on Karst Dynamic System and Global Change, Guilin 541004, China. Electronic address: gfkarst@126.com.)","Jiang, Guanghui (Guangxi University; Chinese Academy of Geological Sciences); Guo, Fang (Chinese Academy of Geological Sciences; Key Laboratory of Karst Dynamics, MNR/GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China; International Research Centre on Karst under the Auspices of UNESCO, National Center for International Research on Karst Dynamic System and Global Change, Guilin 541004, China. Electronic address: gfkarst@126.com.); Wei, Liqiong (Chinese Academy of Geological Sciences; Key Laboratory of Karst Dynamics, MNR/GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China; International Research Centre on Karst under the Auspices of UNESCO, National Center for International Research on Karst Dynamic System and Global Change, Guilin 541004, China.); Li, Wanyi (Nanning Normal University)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1163484900,37 Earth Sciences; 3707 Hydrology,
4411,pub.1103207437,10.1038/s41467-018-03735-6,29636465,PMC5893570,Burned forests impact water supplies,"Wildland fire impacts on surface freshwater resources have not previously been measured, nor factored into regional water management strategies. But, large wildland fires are increasing and raise concerns about fire impacts on potable water. Here we synthesize long-term records of wildland fire, climate, and river flow for 168 locations across the United States. We show that annual river flow changed in 32 locations, where more than 19% of the basin area was burned. Wildland fires enhanced annual river flow in the western regions with a warm temperate or humid continental climate. Wildland fires increased annual river flow most in the semi-arid Lower Colorado region, in spite of frequent droughts in this region. In contrast, prescribed burns in the subtropical Southeast did not significantly alter river flow. These extremely variable outcomes offer new insights into the potential role of wildfire and prescribed fire in regional water resource management, under a changing climate.","This research is supported by the USDA Forest Service Southern Research Station and Joint Fire Science Program (#14-1-06-18). D.W.H. is supported by the USFS Research Participation Program administered by the Oak Ridge Institute for Science and Education (interagency agreement between US Department of Energy and USDA Forest Service; Oak Ridge Associated Universities-DOE contract DE-AC05-06OR23100). Our gratitude extends to Dr. Danny C. Lee, Stephanie Worley-Firley (both USDA Forest Service Southern Research Station), and Aurelia D. Baca (USDA Southeast Regional Climate Hub) for additional comments. All opinions expressed in this paper are the authors’ and do not necessarily reflect the policies and views of USDA, DOE, or ORAU/ORISE. The use of firm, trade, and brand names is for identification purposes only.",,Nature Communications,,,,2018-04-10,2018,2018-04-10,,9,1,1307,All OA; Gold,Article,"Hallema, Dennis W.; Sun, Ge; Caldwell, Peter V.; Norman, Steven P.; Cohen, Erika C.; Liu, Yongqiang; Bladon, Kevin D.; McNulty, Steven G.","Hallema, Dennis W. (Eastern Forest Environmental Threat Assessment Center, U.S. Department of Agriculture Forest Service, Southern Research Station, 920 Main Campus Drive, Venture Center II, Suite 300, 27606, Raleigh, NC, USA; Oak Ridge Institute for Science and Education, U.S. Department of Energy, 100 ORAU Way, 37830, Oak Ridge, TN, USA); Sun, Ge (Eastern Forest Environmental Threat Assessment Center, U.S. Department of Agriculture Forest Service, Southern Research Station, 920 Main Campus Drive, Venture Center II, Suite 300, 27606, Raleigh, NC, USA); Caldwell, Peter V. (Coweeta Hydrologic Laboratory, U.S. Department of Agriculture Forest Service, Southern Research Station, 3160 Coweeta Lab Rd, 28763, Otto, NC, USA); Norman, Steven P. (Eastern Forest Environmental Threat Assessment Center, U.S. Department of Agriculture Forest Service, Southern Research Station, 200 W.T. Weaver Blvd, 28804, Asheville, NC, USA); Cohen, Erika C. (Eastern Forest Environmental Threat Assessment Center, U.S. Department of Agriculture Forest Service, Southern Research Station, 920 Main Campus Drive, Venture Center II, Suite 300, 27606, Raleigh, NC, USA); Liu, Yongqiang (Center for Forest Disturbance Science, U.S. Department of Agriculture Forest Service, Southern Research Station, 320 Green Street, 30602, Athens, GA, USA); Bladon, Kevin D. (Department of Forest Engineering, Resources and Management, Oregon State University, 265 Peavy Hall, 3100 SW Jefferson Way, 97331, Corvallis, OR, USA); McNulty, Steven G. (Eastern Forest Environmental Threat Assessment Center, U.S. Department of Agriculture Forest Service, Southern Research Station, 920 Main Campus Drive, Venture Center II, Suite 300, 27606, Raleigh, NC, USA)","Hallema, Dennis W. (Southern Research Station; Oak Ridge Associated Universities); Sun, Ge (Southern Research Station)","Hallema, Dennis W. (Southern Research Station; Oak Ridge Associated Universities); Sun, Ge (Southern Research Station); Caldwell, Peter V. (Southern Research Station); Norman, Steven P. (Southern Research Station); Cohen, Erika C. (Southern Research Station); Liu, Yongqiang (Southern Research Station); Bladon, Kevin D. (Oregon State University); McNulty, Steven G. (Southern Research Station)",119,59,1.54,15.76,https://www.nature.com/articles/s41467-018-03735-6.pdf,https://app.dimensions.ai/details/publication/pub.1103207437,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 41 Environmental Sciences; 4102 Ecological Applications,
4411,pub.1153241207,10.1007/s00267-022-01750-4,36449050,PMC9892159,"Adaptive Management of Flows in a Regulated River: Flow-ecology Relationships Revealed by a 26-year, Five-treatment Flow Experiment","Adaptive management (AM) is often proposed as a means to resolve uncertainty in the management of socio-ecological systems but successful implementation of AM is rare. We report results from a 26 year, five-treatment, AM experiment designed to inform decision makers about the response of juvenile salmonids (Oncorhynchus spp.) to flow releases from a dam on the regulated Bridge River, British Columbia, Canada. Treatments consisted of a baseline (no dam release) and four different dam release regimes that followed a semi-natural hydrograph but varied in the magnitude of spring-summer freshet flows. We found total salmonid biomass was highest at the lowest flow release, and decreased with increasing flow, consistent with a priori predictions made by an expert solicitation process. Species-specific responses were observed that in some cases could be attributed to interactions between the flow regime and life history. The relationship between juvenile biomass and flow resulting from the experiment can inform decisions on water management for this river. The documentation of successful AM experiments is sorely needed to allow for reflection on the circumstances when AM is likely to deliver desirable outcomes, and to improve other decision processes that require fewer resources and less time to implement.","We dedicate this work in memory of our friend and colleague Paul Higgins. Paul was an inspirational and visionary biologist who played a key role in initiating the Bridge River adaptive management experiment over 25 years ago to challenge normative thinking about dams, flows, and fish. We thank the many biologists who contributed to data collection and analysis over the years. Funding for this work was provided by BC Hydro. MJB was supported by the Fisheries and Oceans Canada Ecosystem and Oceans Science progam. We thank Brent Mossop and Sean Naman for comments on earlier drafts. Data are available from the authors upon reasonable request.",Funding for the fieldwork was provided by B.C. Hydro. MB was supported by funding from Fisheries and Oceans Canada Ecosystem and Oceans Science. Open Access provided by Fisheries & Oceans Canada.,Environmental Management,,,Rivers; Ecology; Ecosystem; Seasons; British Columbia,2022-11-30,2022,2022-11-30,2023-02,71,2,439-450,All OA; Hybrid,Article,"Bradford, Michael J.; Korman, Josh; Sneep, Jeff","Bradford, Michael J. (Fisheries and Oceans Canada, West Vancouver, BC, Canada); Korman, Josh (Ecometric Research, Vancouver, BC, Canada); Sneep, Jeff (J. Sneep and Associates, Lillooet, BC, Canada)","Bradford, Michael J. (Fisheries and Oceans Canada)","Bradford, Michael J. (Fisheries and Oceans Canada); Korman, Josh (Ecometric Research, Vancouver, BC, Canada); Sneep, Jeff (J. Sneep and Associates, Lillooet, BC, Canada)",2,2,,0.94,https://link.springer.com/content/pdf/10.1007/s00267-022-01750-4.pdf,https://app.dimensions.ai/details/publication/pub.1153241207,41 Environmental Sciences; 4104 Environmental Management,
4410,pub.1113943137,10.1016/j.scitotenv.2019.05.077,31082604,,Using a systemic approach to address the requirement for Integrated Water Resource Management within the Water Framework Directive,"Sustainable management of water resources calls for integration of ideas and approaches and revolves around assessment of causal-effect relationships as tools towards defining informed mitigation options and planning. The current paper presents a new holistic approach developed within the Globaqua Coordination Project that combines indicator-based well-established and tested concepts towards developing informed Programmes of Measures and River basin management plans: a. The DPSIR framework that has been engaged as central instrument to address the Water Framework Directive requirements and the concepts embedded in the Integrated Water Resource Management; b. The Ecosystem Services Approach emphasizing on the links between ecosystem services, changes in ecosystems and human well-being, c. Scenario assessment for valuation of future conditions to ensure the sustainability in the use of water resources. The implementation of the new combined framework in two river basins, Ebro in Spain and Evrotas in Greece, stressed the need for revised options targeting elimination of water pollution, measures to ensure water supply that covers the demand even under conditions of climate change and increased water stress and the need for improved valuation of environmental and resource use costs.","The work undertaken was financed under Grant Agreement No. 603629-ENV-2013-6.2.1-Globaqua, 7th Framework Programme of the EC. The authors would like to thank the consortium members of GLOBAQUA Project. In particular, the authors thank Verena Huber García, Swen Meyer, Ralf Ludwig from the Ludwig Maximilian University of Munich who have contributed in the scenario analysis. Special thanks goes to the Case Study Leaders for providing information and supporting the research efforts, Nikolaos Th. Skoulikidis in the Evrotas river basin and Sergi Sabater in the Ebro river basin.",,The Science of The Total Environment,,,,2019-05-07,2019,2019-05-07,2019-08,679,,70-79,All OA; Hybrid,Article,"Apostolaki, Stella; Koundouri, Phoebe; Pittis, Nikittas","Apostolaki, Stella (EIT Climate KIC Hub Greece, ATHENA Research and Innovation Center, Greece; International Center for Research on the Environment and the Economy (ICRE8), Greece; Department of Science and Mathematics, Deree - The American College of Greece, Greece. Electronic address: stella.apostolaki@icre8.eu.); Koundouri, Phoebe (School of Economics and ReSEES Laboratory, Athens University of Economics and Business, Greece; EIT Climate KIC Hub Greece, ATHENA Research and Innovation Center, Greece; International Center for Research on the Environment and the Economy (ICRE8), Greece.); Pittis, Nikittas (Department of Banking and Financial Management, University of Piraeus, Greece.)","Apostolaki, Stella (EIT Climate KIC Hub Greece, ATHENA Research and Innovation Center, Greece; International Center for Research on the Environment and the Economy (ICRE8), Greece; Department of Science and Mathematics, Deree - The American College of Greece, Greece. Electronic address: stella.apostolaki@icre8.eu.; American College of Greece)","Apostolaki, Stella (EIT Climate KIC Hub Greece, ATHENA Research and Innovation Center, Greece; International Center for Research on the Environment and the Economy (ICRE8), Greece; Department of Science and Mathematics, Deree - The American College of Greece, Greece. Electronic address: stella.apostolaki@icre8.eu.; American College of Greece); Koundouri, Phoebe (Athens University of Economics and Business; School of Economics and ReSEES Laboratory, Athens University of Economics and Business, Greece; EIT Climate KIC Hub Greece, ATHENA Research and Innovation Center, Greece; International Center for Research on the Environment and the Economy (ICRE8), Greece.); Pittis, Nikittas (University of Piraeus)",30,23,0.52,8.01,https://doi.org/10.1016/j.scitotenv.2019.05.077,https://app.dimensions.ai/details/publication/pub.1113943137,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4406,pub.1151677489,10.1590/0001-3765202220201289,36228299,,Association between forest resources and water availability: temporal analysis of the Serra Azul stream sub-basin,"Vegetation is expected to influence processes in the water cycle through its structural effects on key ecosystem functions in watersheds. However tropical forests are being submitted to anthropogenic pressures that result in great disturbances in the functioning of ecosystem services. Thus, the present study uses a landscape scale analysis for exploring the associations between land use changes and water availability in the Serra Azul stream watershed. The land use transitions from years 2013 to 2018 were investigated and a set of robust landscape metrics were analyzed across the study region, including water bodies Permanent Preservation Areas. A correlation analysis between the water volume of the Serra Azul reservoir and the landscape metrics was also performed to verify the association between forest resources and water availability. The results show that the region has been submitted to several impacts associated with the loss of forest areas resulting from landscape transformations throughout the region. Forest fragmentation associated to loss of connectivity severely limit water resources availability besides reducing the basin environmental resilience. The role of different management instruments for water resources protection was also discussed, emphasizing the need for participation of stakeholder in the creation process of these environmental protection instruments.",This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001.,,Anais da Academia Brasileira de Ciências,,,Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Forests; Rivers; Water,2022,2022,2022,,94,3,e20201289,All OA; Gold,Article,"Dutra, Débora J; Elmiro, Marcos A T; Ribeiro, Sónia M C","Dutra, Débora J (Programa de Pós-Graduação em Análise e Modelagem de Sistemas Ambientais, Universidade Federal de Minas Gerais (UFMG), Departamento de Cartografia, Instituto de Geociências, Av. Antônio Carlos, 6627, 31270-900 Belo Horizonte, MG, Brazil.); Elmiro, Marcos A T (Programa de Pós-Graduação em Análise e Modelagem de Sistemas Ambientais, Universidade Federal de Minas Gerais (UFMG), Departamento de Cartografia, Instituto de Geociências, Av. Antônio Carlos, 6627, 31270-900 Belo Horizonte, MG, Brazil.); Ribeiro, Sónia M C (Programa de Pós-Graduação em Análise e Modelagem de Sistemas Ambientais, Universidade Federal de Minas Gerais (UFMG), Departamento de Cartografia, Instituto de Geociências, Av. Antônio Carlos, 6627, 31270-900 Belo Horizonte, MG, Brazil.)",,"Dutra, Débora J (Universidade Federal de Minas Gerais); Elmiro, Marcos A T (Universidade Federal de Minas Gerais); Ribeiro, Sónia M C (Universidade Federal de Minas Gerais)",1,1,,0.44,https://www.scielo.br/j/aabc/a/Zz8hY55YPJSLSvgxhRq35Rm/?lang=en&format=pdf,https://app.dimensions.ai/details/publication/pub.1151677489,41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,15 Life on Land
4405,pub.1152457108,10.1016/j.scitotenv.2022.159897,36336061,,Mechanisms of changing speciation and bioavailability of selenium in agricultural mollisols of northern cold regions,"The distribution, speciation, and bioavailability of selenium (Se) - an essential micronutrient for human beings - in agricultural soils influence the resource recovery of agricultural benefits and the sustainable use of Se in agroecosystems. Quantitative understanding in this regard however remains limited in the world's mollisol agroecosystems, despite their critical importance in securing global food supply. Herein, a systematic investigation of Se in the river sediment-irrigation water-mollisols-rhizosphere-rice seeds continuum, at the core zone of the northern mollisol regions, was conducted to elucidate the hydrological-hydrogeochemical processes and mechanisms responsible for the distribution and bioavailability of Se. The content of total Se in the mollisols ranged between 0.12 and 0.54 mg/kg with an average of 0.31 mg/kg. At the riverside flood plains, humic-acid bound Se accounted on average for 39 % of total Se. This pool of Se can be transformed to water-soluble and ion-exchangeable Se(VI), supporting a higher potential of Se bioavailability at riparian agricultural mollisols. For mollisol lands far from the river channels, the topography affects the speciation and partitioning of Se presumably through regulating water retention and organic matter transport. Moreover, altering pH and redox conditions in response to irrigation with the river water may boost Se bioavailability in weakly acidic and high Eh mollisols. It can be in part ascribed to the transformation of organic-bound Se along with infiltrated oxygenated water that leads to the increase of water-soluble and ion-exchangeable Se. These findings reinforce that hydrological-hydrogeochemical perturbations due to irrigation with surface water need to be assessed carefully in the management of Se resources in the mollisol agroecosystems.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements We acknowledge Shuhuan Li and Marianne Vandergriendt from the University of Waterloo for their help in sample analyses in the laboratory. This research was financially supported by the Open Fund of Key Laboratory of Ministry of Natural Resources (No. KLEEBL202103), the National Natural Science Foundation of China (Nos. 42020104005 42042053), the Disciplinary Development Fund of China University of Geosciences, and the “111” Program (State Administration of Foreign Experts Affairs and the Ministry of Education of China, No. B18049). CRediT authorship contribution statement All authors contributed to the intellectual design, data interpretation, discussion of the results presented in this research, and manuscript revision. K. P., L. Z., and J. N. conceived this research; K. P. and J. N. designed and developed the hydrogeochemical model; L. Z., G. L., C. L., and W. Y. participated in the field investigation and sample collection; L. Z., L. T., and Y. G. carried out sample analyses and experiments in the laboratory; L. Z, J. N., and K. P. wrote the manuscript.",,The Science of The Total Environment,,,Humans; Selenium; Biological Availability; Agriculture; Soil; Water,2022-11-03,2022,2022-11-03,2023-02,858,Pt 2,159897,Closed,Article,"Zhang, Li; Ning, Junna; Liu, Guodong; Tong, Lei; Gan, Yiqun; Li, Chenglu; Yang, Wenpeng; Pi, Kunfu","Zhang, Li (Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources, 110034 Shenyang, China; Natural Resources Survey Institute of Heilongjiang Province, 150036 Harbin, China; Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China.); Ning, Junna (School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China.); Liu, Guodong (Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources, 110034 Shenyang, China; Shenyang Center of Geological Survey, China Geological Survey, 110034 Shenyang, China.); Tong, Lei (Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China.); Gan, Yiqun (Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China.); Li, Chenglu (Natural Resources Survey Institute of Heilongjiang Province, 150036 Harbin, China; Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China.); Yang, Wenpeng (Natural Resources Survey Institute of Heilongjiang Province, 150036 Harbin, China; Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China.); Pi, Kunfu (Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China. Electronic address: pikunfu@cug.edu.cn.)","Pi, Kunfu (Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China. Electronic address: pikunfu@cug.edu.cn.; China University of Geosciences)","Zhang, Li (Ministry of Natural Resources; Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources, 110034 Shenyang, China; Natural Resources Survey Institute of Heilongjiang Province, 150036 Harbin, China; Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China.); Ning, Junna (China University of Geosciences); Liu, Guodong (Ministry of Natural Resources; China Geological Survey); Tong, Lei (Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China.; China University of Geosciences); Gan, Yiqun (Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China.; China University of Geosciences); Li, Chenglu (Natural Resources Survey Institute of Heilongjiang Province, 150036 Harbin, China; Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China.); Yang, Wenpeng (Natural Resources Survey Institute of Heilongjiang Province, 150036 Harbin, China; Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China.); Pi, Kunfu (Key Laboratory of Black Soil and Water Resources Research of Heilongjiang Province, 150036 Harbin, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, China. Electronic address: pikunfu@cug.edu.cn.; China University of Geosciences)",4,4,,1.67,,https://app.dimensions.ai/details/publication/pub.1152457108,37 Earth Sciences; 41 Environmental Sciences; 4102 Ecological Applications,2 Zero Hunger
4401,pub.1162754707,10.1016/j.jenvman.2023.118673,37506447,,Exploring a multi-objective optimization operation model of water projects for boosting synergies and water quality improvement in big river systems,"Due to excessive nutrient enrichment and rapidly increasing water demand, the occurrence of riverine environment deterioration events such as algal blooms in rivers of China has become more frequent and severe since the 1990s, which has imposed harmful consequences on riverine ecosystems. However, tackling river algal blooms as an important issue of restoring riverine environment is very challenging because the complex interaction mechanisms between the causes are impacted by multiple factors. The contributions of our study consist of: (1) optimizing joint operation of water projects for boosting synergies of water quality and quantity, and hydroelectricity; and (2) preventing algal bloom from perspectives of hydrological and water-quality conditions by regulating water releases of water projects. This study proposed a multi-objective optimization methodology grounded on the Non-dominated Sorting Genetic Algorithm to simultaneously minimize the excess values of algal bloom indicators (water quality, O1), minimize the used reservoir capacity for water supply (water quantity, O2), and maximize the hydropower generation (hydroelectricity, O3). The proposed methodology was applied to several catastrophic algal bloom events that took place between 2017 and 2021 and thirteen water projects in the Hanjiang River of China. The results indicated that the proposed methodology largely stimulated the synergistic benefits of the three objectives by reaching a 36.7% reduction in total nitrogen and phosphorus concentrations, a 33.1% improvement in the remaining reservoir capacity, and a 41.0% improvement in hydropower output, as compared with those of the standard operation policy (SOP). In addition, the optimal water release schemes of water projects would increase the minimum streamflow velocity of downstream algal bloom control stations by 8.6%-9.4%. This study provides a new perspective on water project operation in the environmental improvement in big river systems while boosting multi-objectives synergies to support environmentalists and decision-makers with scientific guidance on sustainable water resources management.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work was supported by the National Key Research and Development Program of China (2021YFC3200304), the National Natural Science Foundation of China (U20A20317) and the Research Council of Norway (FRINATEK Project 274310, KLIMAFORSK Project 302457). The authors would like to thank the Editors and anonymous Reviewers for their constructive comments that greatly contributed to improving the manuscript.",,Journal of Environmental Management,,,Water Quality; Environmental Monitoring; Ecosystem; Quality Improvement; Rivers; Eutrophication; China; Phosphorus; Nitrogen,2023-07-26,2023,2023-07-26,2023-11,345,,118673,Closed,Article,"Zhu, Di; Zhou, Yanlai; Guo, Shenglian; Chang, Fi-John; Lin, Kangling; Deng, Zhimin","Zhu, Di (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China; Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan, 430010, China.); Zhou, Yanlai (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China. Electronic address: yanlai.zhou@whu.edu.cn.); Guo, Shenglian (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.); Chang, Fi-John (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan. Electronic address: changfj@ntu.edu.tw.); Lin, Kangling (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.); Deng, Zhimin (Changjiang Water Resources Protection Institute, Wuhan, 430051, China.)","Zhou, Yanlai (Wuhan University); Chang, Fi-John (National Taiwan University)","Zhu, Di (Wuhan University; Changjiang Water Resources Commission); Zhou, Yanlai (Wuhan University); Guo, Shenglian (Wuhan University); Chang, Fi-John (National Taiwan University); Lin, Kangling (Wuhan University); Deng, Zhimin (Changjiang Water Resources Commission)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1162754707,37 Earth Sciences; 3707 Hydrology,7 Affordable and Clean Energy
4400,pub.1152329714,10.1016/j.jenvman.2022.116532,36419281,,Spatiotemporal variations of water conservation function based on EOF analysis at multi time scales under different ecosystems of Heihe River Basin,"Water conservation function is a critical terrestrial ecosystem service in providing water supply and achieving water security, which has raised concerns under the pressure of climate change. However, the knowledge of variance on multi-time scale, spatiotemporal dynamic, and ecosystem variance of water conservation is insufficient. In this paper, the annual, monthly, and daily scales of water conservation and the spatiotemporal pattern of monthly water conservation were estimated based on the SWAT model from 2010 to 2020 in the Heihe River Basin (HRB). Additionally, EOF (Empirical orthogonal function) analysis was conducted to decompose the time series of water conservation function distribution into temporal coefficients and spatial patterns. The HRB was categorized into six representative ecosystems with three slope grades to illustrate the variance of water conservation function. The annual water conservation depth (WC) slightly decreased (-10.36 mm/10a) from 2010 to 2020, the monthly WC was dominated by the effects of seasonal variation, and the daily WC was highly nonlinear. The high variability and importance region is mainly located in the upstream and the central area of midstream, which deserves more attention for ecological management and priority protection. Moreover, the forest ecosystem is of the highest resilience and great ecological significance, which increased risk of reduced water conservation under the lack of precipitation. Even in a forest-dominated basin, water conservation can be impacted by other ecosystems with the strong influence of human activities. Our results provide scientific evidence for the improvement of water conservation capacity and making the adapted land use policy in Yellow River basins.","Our research was supported by the Special Funds of the National Natural Science Foundation of China (Grant No. 42041004) and the Key Research and Development Program of Shaanxi (Grant No. 2019ZDLSF05-02). We are especially grateful to the Editor, anonymous reviewers for their helpful comments and suggestions, which have improved the quality of the manuscript. We also express our heartfelt thanks to Bethany Crane for the proofread of this manuscript.",,Journal of Environmental Management,,,Humans; Conservation of Water Resources; Ecosystem; Rivers; Forests; Climate Change,2022-10-29,2022,2022-10-29,2023-01,325,Pt A,116532,Closed,Article,"Wu, Qiong; Song, Jinxi; Sun, Haotian; Huang, Peng; Jing, Kexing; Xu, Wenjin; Wang, Huiyuan; Liang, Dong","Wu, Qiong (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.); Song, Jinxi (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: jinxisong@nwu.edu.cn.); Sun, Haotian (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.); Huang, Peng (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.); Jing, Kexing (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.); Xu, Wenjin (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.); Wang, Huiyuan (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.); Liang, Dong (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.)","Song, Jinxi (Northwest University)","Wu, Qiong (Northwest University); Song, Jinxi (Northwest University); Sun, Haotian (Northwest University); Huang, Peng (Northwest University); Jing, Kexing (Northwest University); Xu, Wenjin (Northwest University); Wang, Huiyuan (Northwest University); Liang, Dong (Northwest University)",12,12,,5.0,,https://app.dimensions.ai/details/publication/pub.1152329714,37 Earth Sciences; 38 Economics; 41 Environmental Sciences; 4102 Ecological Applications,15 Life on Land
4395,pub.1140277104,10.1016/j.scitotenv.2021.149543,34392228,,Integrated modelling to assess the impacts of water stress in a transboundary river basin: Bridging local-scale water resource operations to a river basin economy,"In this study, we develop a hydro-economic modelling framework for river-basin scales by integrating a water resources system model and an economic model. This framework allows for the representation of both local-scale features, such as reservoirs, diversions, and water licenses and priorities, and regional- and provincial-scale features, such as cross-sectoral and inter-regional connectedness and trade flows. This framework is able to: (a) represent nonlinearities and interactions that cannot be represented by either of typical water resources or economic models; (b) analyze the sensitivity of macro-scale economy to different local water management decisions (called 'decision levers' herein); and (c) identify water allocation strategies that are economically sound across sectors and regions. This integrated model is applied to the multi-jurisdictional Saskatchewan River Basin in Western Canada. Our findings reveal that an economically optimal water allocation strategy can mitigate the economic losses of water stress up to 80% compared to the existing water allocation strategy. We draw lessons from our analysis and discuss how integrated inter-regional hydro-economic modelling can benefit vulnerability assessment and robust decision making.","The authors are thankful to Howard Wheater, Mohamed Elshamy, and Patrick Lloyd-Smith for providing input at various stages of this work. They are also thankful to the three anonymous reviewers whose comments helped us improve the quality of this paper. The technical support of Mustakim Ali Shah and Kasra Keshavarz in creating the MODSIM model is acknowledged. The study presented in this paper received financial support from the Integrated Modelling Program for Canada (IMPC), funded as part of the Canada First Research Excellence Fund (CFREF) project, Global Water Futures (GWF). Financial support for this study was furthermore provided by an International Dean&#x27;s Scholarship and a Graduate Research Fellowship from the College of Graduate and Postdoctoral Studies and a PhD Excellence Scholarship from the School of Environmental and Sustainability, University of Saskatchewan.",,The Science of The Total Environment,,,Rivers; Saskatchewan; Water Resources; Water Supply,2021-08-08,2021,2021-08-08,2021-12,800,,149543,All OA; Green,Article,"Eamen, Leila; Brouwer, Roy; Razavi, Saman","Eamen, Leila (School of Environment and Sustainability, University of Saskatchewan, Saskatoon, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, Canada. Electronic address: leila.eamen@usask.ca.); Brouwer, Roy (Department of Economics, University of Waterloo, Waterloo, Canada; The Water Institute, University of Waterloo, Waterloo, Canada.); Razavi, Saman (School of Environment and Sustainability, University of Saskatchewan, Saskatoon, Canada; Global Institute for Water Security, University of Saskatchewan, Saskatoon, Canada; Department of Civil, Geological, and Environmental Engineering, University of Saskatchewan, Saskatoon, Canada.)","Eamen, Leila (Global Institute for Water Security; University of Saskatchewan)","Eamen, Leila (Global Institute for Water Security; University of Saskatchewan); Brouwer, Roy (University of Waterloo); Razavi, Saman (Global Institute for Water Security; University of Saskatchewan)",12,12,0.19,5.19,https://research.vu.nl/files/226371775/Integrated_modelling_to_assess_the_impacts_of_water_stress_in_a_transboundary_river_basin.pdf,https://app.dimensions.ai/details/publication/pub.1140277104,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4392,pub.1157428438,10.1016/j.scitotenv.2023.163571,37087001,,"River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China","Ecological flow early warning is crucial for the rational management of watershed water resources. However, determining of accurate ecological flow threshold and choosing the appropriate forecasting model are challenging tasks. In this study, we initially developed a baseflow separation and Tennant method-based technique for calculating ecological river flow. Then an ecological flow early warning model was created using the machine learning technique based on distributed gradient enhancement framework (LightGBM). Finally, we utilized the framework of Shapley Additive Planning (SHAP) to explain how various hydrometeorological factors affect the variations in ecological flow conditions. The Jiaojiang River basin in southeast China is selected as the study area, and the hydrological stations in upstream of Baizhiao (BZA) and Shaduan (SD) are chosen for key analysis. The results of these applications show that the monthly baseflow frequency of the river ecological flow conditions of the two stations in the dry season is 20 % (7.49 m3/s) and 30 % (4.79 m3/s), respectively. The ecological flow level early warning forecasting accuracy is close to 90 % in the BZA and SD stations during dry and wet seasons. The variations of ecological flow are most affected by evaporation and base flow index. The results of this study can serve as a strong basis for the effective allocation and utilization of locally available water resources.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments The authors would like to thank Zhejiang Provincial Hydrological Management Center for providing the hydrologic data used in this study. This work was supported by Nanxun Young Scholars Project.,This research was funded by the Zhejiang Provincial Water Resources Department Science and Technology Program (grant number RC2201); the Zhejiang Key Research and Development Plan (grant number 2021C03017); the Major Project of the Natural Science Foundation of Zhejiang Province (grant number LZ20E090001); and the Natural Science Foundation of Zhejiang Province (grant number LZJWY22E090007).,The Science of The Total Environment,,,,2023-04-21,2023,2023-04-21,2023-07,882,,163571,Closed,Article,"Chen, Hao; Huang, Saihua; Xu, Yue-Ping; Teegavarapu, Ramesh S V; Guo, Yuxue; Nie, Hui; Xie, Huawei; Zhang, Luqi","Chen, Hao (College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China. Electronic address: chenhao@zjweu.edu.cn.); Huang, Saihua (College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China. Electronic address: huangsh@zjweu.edu.cn.); Xu, Yue-Ping (Institute of Hydrology and Water Resources, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China. Electronic address: yuepingxu@zju.edu.cn.); Teegavarapu, Ramesh S V (Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL, USA. Electronic address: rteegava@fau.edu.); Guo, Yuxue (Institute of Hydrology and Water Resources, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China. Electronic address: yuxueguo@zju.edu.cn.); Nie, Hui (College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China. Electronic address: nieh@zjweu.edu.cn.); Xie, Huawei (College of Hydraulic and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China; International Science and Technology Cooperation Base for Utilization and Sustainable Development of Water Resources, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China. Electronic address: xiehw@zjweu.edu.cn.); Zhang, Luqi (Zhejiang Hydrographic Technology Development and Operation Company, Hangzhou 310009, China.)","Huang, Saihua (Zhejiang University)","Chen, Hao (Zhejiang University); Huang, Saihua (Zhejiang University); Xu, Yue-Ping (Zhejiang University); Teegavarapu, Ramesh S V (Florida Atlantic University); Guo, Yuxue (Zhejiang University); Nie, Hui (Zhejiang University); Xie, Huawei (Zhejiang University); Zhang, Luqi (Zhejiang Hydrographic Technology Development and Operation Company, Hangzhou 310009, China.)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1157428438,37 Earth Sciences; 3707 Hydrology,
4392,pub.1153524373,10.1016/j.ecoenv.2022.114362,36508795,,"Organochlorine pesticides (OCPs) in freshwater resources of Pakistan: A review on occurrence, spatial distribution and associated human health and ecological risk assessment","The extensive use of organochlorine pesticides (OCPs) has resulted in the widespread contamination of different environmental matrices in Pakistan. Freshwater bodies are also prone to OCPs contamination as they receive agricultural and industrial runoff from different sources. In the present study, the data regarding OCPs' fate and distribution in freshwater resources of Pakistan was reviewed and associated risks to human and ecological health were assessed. Among all the OCPs, DDTs were more prevalent with the highest mean concentration of 2290 ng/L observed in River Ravi (Lahore and Sahiwal District). Human health risk assessment showed a higher risk to the children with high Hazard Quotient (HQ) values ranging between 4.1 × 10-9- 295 for Aldrin. The River Ravi (Lahore and Sahiwal District), the River Sutlej (Kasur & Bahawalpur District), and the River Kabul (Nowshehra District) were categorized as high-risk water bodies based on Hazard Index (HI) and Non-Cancer Risk (CRI) index values > 10. Ecological risk assessment revealed a higher risk posed to invertebrate species from DDT exposure. In summary, this review highlights the occurrence and distribution of OCPs and their associated human health and ecological risks in freshwater bodies of Pakistan and also contributes to signifying the need for proper management and regulation of banned pesticides and future research perspectives.","The authors are grateful for the support from the High-level Talents Project of Chongqing Medical University (No. R4014), CAS Team Project of the Belt and Road (to D.S.P.), Research Program of Chongqing Science and Technology Commission (No. cstc2019jcyj-zdxmX0035 and CSTCCXLJRC201714), CAS-TWAS Scholarship (No. 2019A8018537003 to M.S), and China-Sri Lanka Joint Research and Demonstration Center for Water Technology, China-Sri Lanka Joint Center for Education and Research, Chinese Academy of Sciences, China.",,Ecotoxicology and Environmental Safety,,,"Child; Humans; Pakistan; Water Pollutants, Chemical; Environmental Monitoring; Pesticides; Hydrocarbons, Chlorinated; Risk Assessment; Rivers; China",2022-12-09,2022,2022-12-09,2023-01,249,,114362,All OA; Gold,Article,"Sultan, Marriya; Hamid, Naima; Junaid, Muhammad; Duan, Jin-Jing; Pei, De-Sheng","Sultan, Marriya (Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China; University of Chinese Academy of Sciences, Beijing 100049, China.); Hamid, Naima (Department of Environmental Science, Lahore College for Women University, 54700 Lahore, Pakistan.); Junaid, Muhammad (Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, Guangzhou 510641, China.); Duan, Jin-Jing (School of Public Health, Chongqing Medical University, Chongqing 400016, China.); Pei, De-Sheng (School of Public Health, Chongqing Medical University, Chongqing 400016, China. Electronic address: deshengpei@gmail.com.)","Pei, De-Sheng (Chongqing Medical University)","Sultan, Marriya (Chongqing Institute of Green and Intelligent Technology; University of Chinese Academy of Sciences); Hamid, Naima (Lahore College for Women University); Junaid, Muhammad (South China Agricultural University); Duan, Jin-Jing (Chongqing Medical University); Pei, De-Sheng (Chongqing Medical University)",13,13,3.06,5.03,https://doi.org/10.1016/j.ecoenv.2022.114362,https://app.dimensions.ai/details/publication/pub.1153524373,41 Environmental Sciences; 4105 Pollution and Contamination,
4391,pub.1047915703,10.1073/pnas.1317606111,24639551,PMC3977244,Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry,"Rivers provide critical water supply for many human societies and ecosystems, yet global knowledge of their flow rates is poor. We show that useful estimates of absolute river discharge (in cubic meters per second) may be derived solely from satellite images, with no ground-based or a priori information whatsoever. The approach works owing to discovery of a characteristic scaling law uniquely fundamental to natural rivers, here termed a river's at-many-stations hydraulic geometry. A first demonstration using Landsat Thematic Mapper images over three rivers in the United States, Canada, and China yields absolute discharges agreeing to within 20-30% of traditional in situ gauging station measurements and good tracking of flow changes over time. Within such accuracies, the door appears open for quantifying river resources globally with repeat imaging, both retroactively and henceforth into the future, with strong implications for water resource management, food security, ecosystem studies, flood forecasting, and geopolitics.","M. Durand and M. K. Mersel provided calibrated HEC-RAS model datasets, and J. Wang provided critical comments at an early stage of this research. M. Zebrowski provided graphical assistance with illustrations. Constructive, helpful reviews by two anonymous reviewers and N. D. Smith are gratefully acknowledged. This research was supported by National Aeronautics and Space Administration (NASA) Remote Sensing Theory Initiative Grant NNX12AB41G, with additional support from NASA Surface Water Ocean Topography Mission Grant NNX13AD88G, and NASA Earth and Space Sciences Fellowship NNX12AN32H.",,Proceedings of the National Academy of Sciences of the United States of America,,,"Conservation of Natural Resources; Feasibility Studies; Geological Phenomena; Humans; Hydrodynamics; Internationality; Models, Theoretical; Rivers; Satellite Communications; Water; Water Supply",2014-03-17,2014,2014-03-17,2014-04,111,13,4788-4791,All OA; Bronze,Article,"Gleason, Colin J.; Smith, Laurence C.","Gleason, Colin J. (Department of Geography, University of California, Los Angeles, CA, 90095-1524); Smith, Laurence C. (Department of Geography, University of California, Los Angeles, CA, 90095-1524)","Gleason, Colin J. (University of California, Los Angeles)","Gleason, Colin J. (University of California, Los Angeles); Smith, Laurence C. (University of California, Los Angeles)",247,50,0.31,28.92,https://www.pnas.org/content/pnas/111/13/4788.full.pdf,https://app.dimensions.ai/details/publication/pub.1047915703,37 Earth Sciences; 3707 Hydrology,
4389,pub.1160582814,10.1007/s10661-023-11499-w,37432584,,Application of spatial environmental indicators in the assessment of degradation potential of water resources in water basins,"Abstract
Changes in land use have been occurring in a continuous and disorderly way in recent decades due to rapid population growth and the growing demand for food. These constant changes result in a series of harmful effects to the environment, especially to water resources, significantly changing their availability and quality. This study aims to evaluate the degradation potential of watersheds through an evaluation of some environmental indicators using arithmetic means to construct an index called in this research “index of potential environmental degradation” (IPED). To form the IPED, the hydrographic sub-basins of the Sorocabuçu River, located in the central west of the State of São Paulo, Brazil, comprised the study area. The results showed that most hydrographic sub-basins, that is, eight units, present degradation values ranging from moderate to very high, resulting mainly from low conservation values of forests plus a use destined to the planting of temporary cultures depending on good physical conditions. On the other hand, only one sub-basin showed a low degradation value. The methodology used for the development of the IPED is easy to apply and an effective tool for environmental analyses. It may contribute to studies and forms of planning and land use management aiming the conservation of water resources and protected areas and reduction of degradation.",,This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior — Brasil (CAPES) — Finance Code 001.,Environmental Monitoring and Assessment,,,Water Resources; Brazil; Environmental Indicators; Environmental Monitoring; Water,2023-07-11,2023,2023-07-11,2023-08,195,8,931,All OA; Green,Article,"Arantes, Leticia Tondato; Arantes, Bruno Henrique Tondato; Sacramento, Bruna Henrique; da Costa, Hetiany Ferreira; de Oliveira, Renan Angrizani; Simonetti, Vanessa Cezar; da Cunha e Silva, Darllan Collins; Lourenço, Roberto Wagner","Arantes, Leticia Tondato (Environmental Science Department, São Paulo State University (UNESP), Sorocaba, São Paulo, Brazil); Arantes, Bruno Henrique Tondato (Goiano Federal Institute, Rio Verde, Goiás, Brazil); Sacramento, Bruna Henrique (Environmental Science Department, São Paulo State University (UNESP), Sorocaba, São Paulo, Brazil); da Costa, Hetiany Ferreira (Environmental Science Department, São Paulo State University (UNESP), Sorocaba, São Paulo, Brazil); de Oliveira, Renan Angrizani (Environmental Engineering Department, University of Sorocaba (UNISO), Sorocaba, São Paulo, Brazil); Simonetti, Vanessa Cezar (Environmental Engineering Department, University of Sorocaba (UNISO), Sorocaba, São Paulo, Brazil); da Cunha e Silva, Darllan Collins (Environmental Engineering Department, São Paulo State University (UNESP), Sorocaba, São Paulo, Brazil); Lourenço, Roberto Wagner (Institute of Science and Technology of Sorocaba, São Paulo State University (UNESP) Sorocaba, São Paulo, Brazil)","Arantes, Leticia Tondato (São Paulo State University)","Arantes, Leticia Tondato (São Paulo State University); Arantes, Bruno Henrique Tondato (Instituto Federal Goiano); Sacramento, Bruna Henrique (São Paulo State University); da Costa, Hetiany Ferreira (São Paulo State University); de Oliveira, Renan Angrizani (Universidade de Sorocaba); Simonetti, Vanessa Cezar (Universidade de Sorocaba); da Cunha e Silva, Darllan Collins (São Paulo State University); Lourenço, Roberto Wagner (São Paulo State University)",2,2,,,https://www.researchsquare.com/article/rs-2038150/latest.pdf,https://app.dimensions.ai/details/publication/pub.1160582814,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4387,pub.1150600175,10.1007/s11356-022-22758-7,36040697,,"Comparative analysis of water quality prediction performance based on LSTM in the Haihe River Basin, China","Abstract
As the most water shortage and water polluted area in China, the water quality prediction is of utmost needed and important in Haihe River Basin for its water resource management. The long short-term memory (LSTM) has been a widely used tool for water quality forecast in recent years. The performance and adaptability of LSTM for water quality prediction of different indicators needs to be discussed before it adopted in a specific basin. However, literature contains very few studies on the comparative analysis of the various prediction accuracy of different water quality indicators and the causes, especially in Haihe River Basin. In this study, LSTM was employed to predict biochemical oxygen demand (BOD), permanganate index (CODMn), dissolved oxygen (DO), ammonia nitrogen (NH3–N), total phosphorus (TP), hydrogen ion concentration (pH), and chemical oxygen demand digested by potassium dichromate (CODCr). According to results under 24 different input conditions, it is demonstrated that LSTMs present better predicting on BOD, CODMn, CODCr, and TP (median Nash–Sutcliffe efficiency reaching 0.766, 0.835, 0.837, and 0.711, respectively) than NH3–N, DO, and pH (median Nash–Sutcliffe efficiency of 0.638, 0.625, and 0.229, respectively). Besides, the performance of LSTM to predict water quality is linearly related to the maximum value of temporal autocorrelation and cross-correlation coefficients of water quality indicators calculated by maximal information coefficient with the coefficients of determination of 0.79 to approximately 0.80. This study would provide new knowledge and support for the practical application and improvement of the LSTM in water quality prediction.","The authors would like to acknowledge the Hebei Provincial Academy of Ecological Environmental Science, China (http://www.hebhky.cn/) for their data.",This work was supported by the National Nature Science Foundation of China (no. 41807471) and the Open Research Fund Program of MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area (SZU51029202010).,Environmental Science and Pollution Research,,,"Humans; Water Quality; Environmental Monitoring; Rivers; Non-alcoholic Fatty Liver Disease; China; Nitrogen; Phosphorus; Oxygen; Water Pollutants, Chemical",2022-08-30,2022,2022-08-30,2023-01,30,3,7498-7509,Closed,Article,"Li, Qiang; Yang, Yinqun; Yang, Ling; Wang, Yonggui","Li, Qiang (Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China); Yang, Yinqun (Changjiang Water Resources Protection Institute, 430051, Wuhan, China); Yang, Ling (Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China); Wang, Yonggui (Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)","Wang, Yonggui (China University of Geosciences)","Li, Qiang (China University of Geosciences); Yang, Yinqun (Changjiang Water Resources Commission); Yang, Ling (China University of Geosciences); Wang, Yonggui (China University of Geosciences)",18,18,2.56,5.03,,https://app.dimensions.ai/details/publication/pub.1150600175,37 Earth Sciences; 40 Engineering; 4004 Chemical Engineering; 4011 Environmental Engineering,6 Clean Water and Sanitation
4387,pub.1158127763,10.1016/j.scitotenv.2023.164101,37207775,,Evaluating future water security in the upper Yangtze River Basin under a changing environment,"Water security is of great significance in social development, ecosystem sustainability, and environmental management. The Upper Yangtze River Basin (UYRB), which feeds more than 150 million people, is faced with aggravating water security risks due to more frequent hydrometeorological extremes and increasing human water withdrawals under a changing environment. Based on five RCP-SSP scenarios, this study systematically evaluated the spatiotemporal evolution patterns of water security in the UYRB under future climatic and societal changes. The future runoff was projected using Watergap global hydrological model (WGHM) under different Representative Concentration Pathway (RCP) scenarios and hydrological drought was further identified by the run theory. The water withdrawals were predicted based on the recently developed shared socio-economic pathways (SSPs). Then, a comprehensive risk index (CRI) for water security was proposed combining the degree of water stress and natural hydrological drought. The results show that the future annual average runoff across the UYRB is projected to increase, and hydrological drought tends to be more severe, especially in the upper and middle reaches. Dominated by water withdrawals in the industry sector, the future water stress in all sub-regions is estimated to increase substantially, with the largest change ratio of WSI in the middle future spatially ranging from 64.5 % to 301.5 % (66.0 % to 314.1 %) under RCP2.6 (RCP8.5). Based on the spatiotemporal variation of CRI, the UYRB is projected to face more severe comprehensive risks for water security in the middle and far future periods, and hotspot sub-regions are identified as Tuo River and Fu River, which are densely populated and economically prosperous, threatening regional sustainable social-economic development. These findings highlight the urgent need for adaptive countermeasures of water resources administration in response to more severe water security risks in the future UYRB.",Declaration of competing interest All authors agreed to the published version of the manuscript and declare no conflicts of interests. Acknowledgements The research is supported by the National Natural Science Foundation of China (No. 51679155).,,The Science of The Total Environment,,,Humans; Ecosystem; Rivers; Dehydration; Hydrology; Water Supply,2023-05-18,2023,2023-05-18,2023-09,889,,164101,Closed,Article,"Liang, Hanxu; Zhang, Dan; Wang, Wensheng; Yu, Siyi; Nimai, Silang","Liang, Hanxu (College of Water Resource and Hydropower, Sichuan University, Chengdu, Sichuan 610065, China; State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan 610065, China.); Zhang, Dan (Changjiang Survey, Planning, Design and Research Co., Ltd., Wuhan 430010, China.); Wang, Wensheng (College of Water Resource and Hydropower, Sichuan University, Chengdu, Sichuan 610065, China; State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan 610065, China. Electronic address: wangws70@scu.edu.cn.); Yu, Siyi (College of Water Resource and Hydropower, Sichuan University, Chengdu, Sichuan 610065, China; State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan 610065, China.); Nimai, Silang (College of Water Resource and Hydropower, Sichuan University, Chengdu, Sichuan 610065, China; State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan 610065, China.)","Wang, Wensheng (Sichuan University)","Liang, Hanxu (Sichuan University); Zhang, Dan (Changjiang Institute of Survey, Planning, Design and Research); Wang, Wensheng (Sichuan University); Yu, Siyi (Sichuan University); Nimai, Silang (Sichuan University)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1158127763,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
4385,pub.1134479896,10.1007/s00267-020-01399-x,33427893,,"Developing a Conceptual Model for Sustainable water Resource Management and Agricultural Development: the Case of the Breede River Catchment Area, South Africa","The complex relationship that exists between water resources and agricultural production has been increasing constantly globally. Several factors are interacting to influence the management of water resources making the system complex and dynamic. To increase the understanding of these complex and dynamic systems, relevant tools are needed to identify the causal relationships that exist between the drivers and their influences on the system. Participatory modelling based on the system dynamics approach provides a simplistic and visualisation tool that can improve the understanding of the functioning of a complex and dynamic system. A multi-stage participatory approach was used in this study involving relevant stakeholders in the development of an integrated conceptual system dynamic model using causal loop diagrams. This approach was used because it captures the thought process and mental model of relevant stakeholders in the development of the model, making it a valuable tool for policy and decision making at government and individual levels. The integrated model built in this study used causal loop diagrams to address problems of water management and agricultural sustainability in the Breede River Catchment. The model shows major causal-relationships and feedback loops that determine the functioning of the overall system. The model demonstrates the usefulness of the participatory approach in solving problems related to water management and agricultural development in the catchment.","This study is based on a project, ‘Agricultural water management scenarios for South Africa (K5/2711//4)’, which was initiated, managed, and funded by the Water Research Commission (WRC) South Africa. Sincere appreciation goes to the Water Research Commission and the National Research Function (NRF) for financial and other contributions, and to other team members.",,Environmental Management,,,"Agriculture; Conservation of Natural Resources; Models, Theoretical; Rivers; South Africa; Water Resources",2021-01-11,2021,2021-01-11,2021-04,67,4,632-647,Closed,Article,"Nyam, Y. S.; Kotir, J. H.; Jordaan, A. J.; Ogundeji, A. A.","Nyam, Y. S. (Disaster Management Training and Education Centre for Africa at the University of the Free State, Bloemfontein, 9300, South Africa); Kotir, J. H. (CSIRO Agriculture and Food, 4350, Toowoomba, QLD, Australia); Jordaan, A. J. (Disaster Management Training and Education Centre for Africa at the University of the Free State, Bloemfontein, 9300, South Africa); Ogundeji, A. A. (Department of Agricultural Economics, the University of the Free State, 9300, Bloemfontein, South Africa)","Nyam, Y. S. (University of the Free State)","Nyam, Y. S. (University of the Free State); Kotir, J. H. (CSIRO Agriculture and Food, 4350, Toowoomba, QLD, Australia); Jordaan, A. J. (University of the Free State); Ogundeji, A. A. (University of the Free State)",13,13,0.63,4.08,,https://app.dimensions.ai/details/publication/pub.1134479896,37 Earth Sciences; 3707 Hydrology,
4384,pub.1165344773,10.1007/s00267-023-01896-9,37902876,,"Normative Assessment of Enabling Factors for Adaptive Water Governance; Evidence and Lessons from the Hirmand River Basin, Iran","Based on analyzing the composing elements of the water governance regime in the Hirmand River Basin, Iran, this paper examines the factors that facilitate the emergence of Adaptive Governance in a Global South context. Although the literature provides valuable insights into the characteristics of a well-established Adaptive Governance regime in the context of the Global North, relatively little research has been conducted on Adaptive Governance’s fostering factors in the states in the Global South. To address this gap, this study utilizes an analytical framework upon which the features of water governance regimes are assessed. A combination of primary and secondary qualitative data (survey research and document analysis) is used to evaluate the assessment framework, which aims to analyze the characteristics that enhance resilience to the imposed changes and disturbances in complex environmental and water systems. The analysis suggests that addressing scalar and sectoral tensions, well-functioning reflecting mechanisms, adaptable policies, and flexible financial mechanisms are vital requisites for the transition towards more adaptive forms of water governance. The results also propose that the formal water governance system in the region has felt the urgency to adapt to new circumstances; however, unlike cases from the Global North, it lacks the required agility to escape from the rigidity trap it finds itself in.",,,Environmental Management,,,Conservation of Natural Resources; Rivers; Iran; Water; Causality,2023-10-30,2023,2023-10-30,2024-01,73,1,144-161,Closed,Article,"Bagherzadeh, Saeed; Mianabadi, Hojjat; Sadeghizadeh Bafandeh, Shahrzad; Ghorbani, Amineh; Deylami, Behavar","Bagherzadeh, Saeed (School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran); Mianabadi, Hojjat (Department of Water Engineering and Management, Tarbiat Modares University, P.O. Box 14115-336, Tehran, Iran); Sadeghizadeh Bafandeh, Shahrzad (Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran); Ghorbani, Amineh (Faculty of Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands); Deylami, Behavar (Department of Water Engineering and Management, Tarbiat Modares University, P.O. Box 14115-336, Tehran, Iran)","Mianabadi, Hojjat (Tarbiat Modares University)","Bagherzadeh, Saeed (Iran University of Science and Technology); Mianabadi, Hojjat (Tarbiat Modares University); Sadeghizadeh Bafandeh, Shahrzad (Ferdowsi University of Mashhad); Ghorbani, Amineh (Delft University of Technology); Deylami, Behavar (Tarbiat Modares University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1165344773,44 Human Society; 48 Law and Legal Studies; 4802 Environmental and Resources Law,"16 Peace, Justice and Strong Institutions"
4376,pub.1150327359,10.1016/j.scitotenv.2022.158153,35988595,,Combined effects of seawater intrusion and nitrate contamination on groundwater in coastal agricultural areas: A case from the Plain of the El-Nil River (North-Eastern Algeria),"This study focuses on coastal aquifers subject to uncontrolled land use development by investigating the combined effects of seawater intrusion and nitrate contamination. The research is undertaken in a Mediterranean coastal agricultural area (Plain of the El-Nil River, Algeria), where water resources are heavily impacted by anthropogenic activities. A multi-tracer approach, integrating hydrogeochemical and isotopic tracers (δ2HH2O, δ18OH2O, δ15NNO3 and δ18ONO3), is combined with a hydrochemical facies evolution diagram, and a Bayesian isotope mixing model (MixSIAR) to assess seawater contamination with its inland intrusion, and distinguish the nitrate sources and their apportionment. Results show that seawater intrusion is circumscribed to the sector neighboring the Mediterranean Sea, with two influencing functions including classic inland intrusion through the aquifer, and upstream seawater impact through the river mouth connected to the Mediterranean Sea. Groundwater and surface water samples reveal nitrate concentrations above the natural baseline threshold, suggesting anthropogenic influence. Results from nitrate isotopic composition, NO3 and Cl concentrations, and the MixSIAR model show that nitrate concentrations chiefly originate from sewage and manure sources. Nitrate derived from the sewage is related to wastewater discharge, whereas nitrate derived from the manure is attributed to an excessive use of animal manure to fertilise agricultural areas. The dual negative impact of seawater intrusion and nitrate contamination degrades water quality over a large proportion of the study area. The outcomes of this study are expected to contribute to effective and sustainable water resources management in the Mediterranean coastal area. Furthermore, this study may improve scientists' ability to predict the combined effect of various anthropogenic stressors on coastal environments and help decision-makers elsewhere to prepare suitable environmental strategies for other regions currently undergoing an early stage of water resources deterioration.","The authors thank Natural Sciences and Engineering Research Council of Canada that have funded this project (Grant number FGR-CRSNG 326881 held by Prof. Julien Walter). The authors also acknowledge the financial support from (i) Décanat de la recherche et de la création of the Université du Québec à Chicoutimi (Grant number DGECR/00241-2021 held by Prof. Julien Walter), and (ii) Comité de liaison institutionnel of the Université du Québec à Chicoutimi (Grant number CLI-55221 held by Dr. Lamine Boumaiza). Prof. Andrea Brookfield, from University of Waterloo (Canada), is thanked for her helpful suggestions on improving this manuscript. The authors thank the local population and farmers of Plain of the El-Nil River, who provided much relevant information about the management of their wastewater and offered free access to their private wells during fieldwork.",,The Science of The Total Environment,,,"Algeria; Animals; Bayes Theorem; Environmental Monitoring; Groundwater; Isotopes; Manure; Nitrates; Rivers; Seawater; Sewage; Wastewater; Water Pollutants, Chemical",2022-08-19,2022,2022-08-19,2022-12,851,Pt 1,158153,Closed,Article,"Boumaiza, Lamine; Walter, Julien; Chesnaux, Romain; Zahi, Faouzi; Huneau, Frédéric; Garel, Émilie; Stotler, Randy L; Bordeleau, Geneviève; Johannesson, Karen H; Vystavna, Yuliya; Drias, Tarek; Re, Viviana; Knöller, Kay; Stumpp, Christine","Boumaiza, Lamine (Université du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec G7H 2B1, Canada; Centre d'études sur les ressources minérales, Groupe de recherche Risque Ressource Eau, Saguenay, Québec G7H 2B1, Canada. Electronic address: lamine.boumaiza@uqac.ca.); Walter, Julien (Université du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec G7H 2B1, Canada; Centre d'études sur les ressources minérales, Groupe de recherche Risque Ressource Eau, Saguenay, Québec G7H 2B1, Canada.); Chesnaux, Romain (Université du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec G7H 2B1, Canada; Centre d'études sur les ressources minérales, Groupe de recherche Risque Ressource Eau, Saguenay, Québec G7H 2B1, Canada.); Zahi, Faouzi (Université Mohammed Seddik Ben Yahia, Département des Sciences de la Terre et de l'Univers, Jijel 18000, Algeria.); Huneau, Frédéric (Université de Corse Pascal Paoli, Département d'Hydrogéologie, Campus Grimaldi, Corte 20250, France; CNRS, UMR 6134 SPE, Corte 20250, France.); Garel, Émilie (Université de Corse Pascal Paoli, Département d'Hydrogéologie, Campus Grimaldi, Corte 20250, France; CNRS, UMR 6134 SPE, Corte 20250, France.); Stotler, Randy L (University of Waterloo, Department of Earth and Environmental Sciences, Waterloo, Ontario N2T 0A4, Canada.); Bordeleau, Geneviève (Institut national de la recherche scientifique, Centre Eau Terre Environnement, Québec, Québec G1K 9A9, Canada.); Johannesson, Karen H (University of Massachusetts Boston, School for the Environment, Boston, MA 02125, USA.); Vystavna, Yuliya (International Atomic Energy Agency, Isotope Hydrology Section, Vienna 1400, Austria.); Drias, Tarek (Université Mustapha Benboulaïd, Département de Géologie, Campus de Fesdiss, 05030 Batna, Algeria.); Re, Viviana (University of Pisa, Department of Earth Sciences, Pisa 56126, Italy.); Knöller, Kay (Helmholtz Centre for Environmental Research, Department of Catchment Hydrology, Halle, Saale 06120, Germany.); Stumpp, Christine (University of Natural Resources and Life Sciences, Institute of Soil Physics and Rural Water Management, Vienna 1190, Austria.)","Boumaiza, Lamine (Université du Québec à Chicoutimi; Université du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec G7H 2B1, Canada; Centre d'études sur les ressources minérales, Groupe de recherche Risque Ressource Eau, Saguenay, Québec G7H 2B1, Canada. Electronic address: lamine.boumaiza@uqac.ca.)","Boumaiza, Lamine (Université du Québec à Chicoutimi; Université du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec G7H 2B1, Canada; Centre d'études sur les ressources minérales, Groupe de recherche Risque Ressource Eau, Saguenay, Québec G7H 2B1, Canada. Electronic address: lamine.boumaiza@uqac.ca.); Walter, Julien (Université du Québec à Chicoutimi; Université du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec G7H 2B1, Canada; Centre d'études sur les ressources minérales, Groupe de recherche Risque Ressource Eau, Saguenay, Québec G7H 2B1, Canada.); Chesnaux, Romain (Université du Québec à Chicoutimi; Université du Québec à Chicoutimi, Département des Sciences Appliquées, Saguenay, Québec G7H 2B1, Canada; Centre d'études sur les ressources minérales, Groupe de recherche Risque Ressource Eau, Saguenay, Québec G7H 2B1, Canada.); Zahi, Faouzi (Université Mohammed Seddik Ben Yahia, Département des Sciences de la Terre et de l'Univers, Jijel 18000, Algeria.); Huneau, Frédéric (University of Corsica Pascal Paoli; Université de Corse Pascal Paoli, Département d'Hydrogéologie, Campus Grimaldi, Corte 20250, France; CNRS, UMR 6134 SPE, Corte 20250, France.); Garel, Émilie (University of Corsica Pascal Paoli; Université de Corse Pascal Paoli, Département d'Hydrogéologie, Campus Grimaldi, Corte 20250, France; CNRS, UMR 6134 SPE, Corte 20250, France.); Stotler, Randy L (University of Waterloo); Bordeleau, Geneviève (Institut National de la Recherche Scientifique); Johannesson, Karen H (University of Massachusetts Boston); Vystavna, Yuliya (International Atomic Energy Agency); Drias, Tarek (Université Mustapha Benboulaïd, Département de Géologie, Campus de Fesdiss, 05030 Batna, Algeria.); Re, Viviana (University of Pisa); Knöller, Kay (Helmholtz Centre for Environmental Research); Stumpp, Christine (University of Natural Resources and Life Sciences)",9,9,1.98,4.69,,https://app.dimensions.ai/details/publication/pub.1150327359,37 Earth Sciences; 3705 Geology; 3707 Hydrology; 41 Environmental Sciences; 4105 Pollution and Contamination,15 Life on Land
4374,pub.1154957567,10.1002/jsfa.12478,36719269,,Optimal allocation of agricultural water resources in Yanghe watershed considering blue water to green water ratio,"BACKGROUND: Yanghe Watershed has low annual rainfall, uneven spatial and temporal distribution, extreme shortage of water resources in some areas. The contradiction between supply and demand of water for agricultural production is prominent and the expected production value cannot be achieved. Therefore, it is necessary to investigate the supply and demand of agricultural water resources and the impact of green water on agricultural crops in Yanghe Watershed.
RESULTS: This article proposes a new crop economic model for increasing the green-water footprint to blue-water footprint ratio (GWF:BWF) in accordance with the regional characteristics, alleviating agricultural water shortage in irrigation areas, optimizing water resource allocation, and achieving sustainable agricultural development. The proposition is based on a study of five crops in eight districts and counties in the Yanghe River watershed. By combining the economic model F with a crop water production function, we achieved 89.3%, 88.9%, 97.1%, 81.5%, and 87.0% of the optimal water demands of the five crops, respectively, and effectively improved the underground irrigation of crops and the water resource utilization efficiency.
CONCLUSION: The GWF:BWF threshold interval was subsequently selected based on the temporal changes in the BWF and GWF in the study area. This enabled significant reduction of the planting area of blue-water crops and increase in the proportion of green-water crops, while also improving the agricultural economy of the Yanghe Watershed. The proposed model promises to afford enhanced management of agricultural irrigation areas that experience rainfall shortage. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.",ACKNOWLEDGEMENTS The authors are grateful for the grant support from the National Science and Technology Major Project of Water Pollution Control and Treatment (2017ZX07101003‐008) and Research Foundation of China Three Gorges Corporation (No.HB/ZB2021156). CONFLICT OF INTEREST The authors have no conflicts of interest to declare that are relevant to the content of this article.,,Journal of the Science of Food and Agriculture,,,"Water Resources; Water; Agriculture; Agricultural Irrigation; Crops, Agricultural; China; Water Supply",2023-02-14,2023,2023-02-14,2023-05,103,7,3558-3568,All OA; Hybrid,Article,"Weng, Chuansong; Zeng, Yiheng; Liu, Defu; Zhang, Jialei; He, Li","Weng, Chuansong (College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China); Zeng, Yiheng (College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China); Liu, Defu (College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China); Zhang, Jialei (College of Civil Architecture and Environment, Hubei University of Technology, Wuhan, China); He, Li (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China)","Liu, Defu (Hubei University of Technology); Zhang, Jialei (Hubei University of Technology)","Weng, Chuansong (Hubei University of Technology); Zeng, Yiheng (Hubei University of Technology); Liu, Defu (Hubei University of Technology); Zhang, Jialei (Hubei University of Technology); He, Li (Shenzhen University)",1,1,,,https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jsfa.12478,https://app.dimensions.ai/details/publication/pub.1154957567,"30 Agricultural, Veterinary and Food Sciences; 40 Engineering",2 Zero Hunger; 6 Clean Water and Sanitation
4372,pub.1009816992,10.1016/j.scitotenv.2015.03.032,25897733,,"Planning of water resources management and pollution control for Heshui River watershed, China: A full credibility-constrained programming approach","A key issue facing integrated water resources management and water pollution control is to address the vague parametric information. A full credibility-based chance-constrained programming (FCCP) method is thus developed by introducing the new concept of credibility into the modeling framework. FCCP can deal with fuzzy parameters appearing concurrently in the objective and both sides of the constraints of the model, but also provide a credibility level indicating how much confidence one can believe the optimal modeling solutions. The method is applied to Heshui River watershed in the south-central China for demonstration. Results from the case study showed that groundwater would make up for the water shortage in terms of the shrinking surface water and rising water demand, and the optimized total pumpage of groundwater from both alluvial and karst aquifers would exceed 90% of its maximum allowable levels when credibility level is higher than or equal to 0.9. It is also indicated that an increase in credibility level would induce a reduction in cost for surface water acquisition, a rise in cost from groundwater withdrawal, and negligible variation in cost for water pollution control.","AcknowledgmentsThe authors thank the editor and the anonymous reviewers for their helpful comments and suggestions. This research was supported by China National Funds for Excellent Young Scientists (51222906), National Natural Science Foundation of China (41271540), New Century Excellent Talents in Universities of China (NCET-13-0791), and Fundamental Research Funds for the Central Universities.",,The Science of The Total Environment,,,China; Conservation of Natural Resources; Environmental Monitoring; Rivers; Water Pollution; Water Resources; Water Supply,2015-04-18,2015,2015-04-18,2015-08,524,,280-289,Closed,Article,"Zhang, Y.M.; Huang, G.; Lu, H.W.; He, Li","Zhang, Y.M. (Suzhou Institute of Research, North China Electric Power University, Suzhou 215123, China; Resources & Environmental Research Academy, North China Electric Power University, Beijing 102206, China); Huang, G. (Resources & Environmental Research Academy, North China Electric Power University, Beijing 102206, China); Lu, H.W. (College of Renewable Energy, North China Electric Power University, Beijing 102206, China); He, Li (Suzhou Institute of Research, North China Electric Power University, Suzhou 215123, China)","He, Li (Soochow University)","Zhang, Y.M. (Soochow University; North China Electric Power University); Huang, G. (North China Electric Power University); Lu, H.W. (North China Electric Power University); He, Li (Soochow University)",43,13,0.58,8.32,,https://app.dimensions.ai/details/publication/pub.1009816992,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4370,pub.1163425174,10.1016/j.envres.2023.116956,37619637,,Assessing applicability of two gridded precipitation datasets for hydrological simulation in a poorly gauged river basin towards supporting sustainable water resources management,"Reliable and accurate precipitation estimates are important for hydrological studies and sustainable water resource management. However, networks of rain gauges are often sparsely and unevenly distributed in many large river basins in the world including the Red River basin (RRB). Thus this study aimed to comprehensively evaluate the applicability of two widely used gridded precipitation products, gauge-based APHRODITE and gauge satellite-based GSMaP-Gauge, over the RRB using both statistical and hydrological assessment approaches. The accuracy assessment of the gridded precipitation datasets was performed by comparing with the reference precipitation dataset derived from the local weather stations. The hydrological performance of both gridded products was evaluated through the Variable Infiltration Capacity (VIC) hydrological modelling scheme for simulation of daily streamflow at the hydrological stations in the RRB. The results demonstrated that both gridded products could generally capture the spatiotemporal variation of the reference precipitation over the RRB during the period of 2005-2014, although both underestimated the reference precipitation. Results of statistical analysis showed that the APHRODITE data outperformed the GSMaP-Gauge data in precipitation estimation. The performance of the VIC model driven by the gridded precipitation products in streamflow simulation was satisfactory, although simulations forced with APHRODITE data displayed the better performance. Generally, the APHRODITE product showed its encouraging potential for hydrological studies over the RRB.","Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Duc Luong Nguyen reports financial support was provided by Vietnam National Foundation for Science and Technology Development (NAFOSTED). Acknowledgements This research is funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number: 11/2019/TN. The authors would like to thank the NAFOSTED for providing the financial support for this project. The authors also would like to thank NASA, U.S. NCDC, USGS, FAO, JAXA, and APHRODITE&#x27;s Water Resources Project for providing the data used in this study.",This work was supported by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number: 11/2019/TN.,Environmental Research,,,,2023-08-22,2023,2023-08-22,2023-11,237,Pt 1,116956,Closed,Article,"Nguyen, Lan Huong; Nguyen, Duc Luong; Nguyen, Hoang Hiep","Nguyen, Lan Huong (Faculty of Environmental Engineering, Hanoi University of Civil Engineering (HUCE), 55 Giai Phong, Hanoi, Viet Nam.); Nguyen, Duc Luong (Faculty of Environmental Engineering, Hanoi University of Civil Engineering (HUCE), 55 Giai Phong, Hanoi, Viet Nam. Electronic address: luongnd@huce.edu.vn.); Nguyen, Hoang Hiep (Graduate Institute of Applied Geology, National Central University, Taoyuan, 32000, Taiwan.)","Nguyen, Duc Luong (Hanoi University)","Nguyen, Lan Huong (Hanoi University); Nguyen, Duc Luong (Hanoi University); Nguyen, Hoang Hiep (National Central University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1163425174,31 Biological Sciences; 34 Chemical Sciences; 41 Environmental Sciences,
4367,pub.1136747975,10.1007/s00128-021-03198-4,33779774,,Environmental Governance of Western Europe and Its Enlightenment to China: In Context to Rhine Basin and the Yangtze River Basin,"The pollution control of the Rhine is a successful management mode for comprehensive cooperation in environmental governance, which could provide an important reference for the Yangtze River governance. This study explored river basin management and various pollution problems faced by these two rivers at different times, and also includes governance and management effects. The changes in water quality and aquatic life before and after policy implementation had also been compared. The results showed that the International Commission for the Protection of the Rhine (ICPR) made outstanding contributions to the water-quality improvement, demonstrating its management mode was efficient and effective. Cooperative communication and targeted policies are effective ways to improve the water quality of large river basins. Clear division of labor system and phased cooperation-governance objectives are also significant for the inter-provincial cooperative governance of Yangtze River pollution.","This research was supported by Nanjing University Undergraduate International Scientific Excursion &amp; Research Training Project, and Research Project of “13th Five-year Plan” Experimental Teaching Reform of Nanjing University (Grant Nos. SY201911, SY201929).",,Bulletin of Environmental Contamination and Toxicology,,,China; Conservation of Natural Resources; Environmental Monitoring; Environmental Policy; Europe; Rivers,2021-03-29,2021,2021-03-29,2021-05,106,5,819-824,Closed,Article,"Shi, Wangjinyu; Wu, Yangyang; Sun, Xue; Gu, Xueyuan; Ji, Rong; Li, Mei","Shi, Wangjinyu (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Ave., Qixia Districts, 210023, Nanjing, China); Wu, Yangyang (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Ave., Qixia Districts, 210023, Nanjing, China); Sun, Xue (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Ave., Qixia Districts, 210023, Nanjing, China); Gu, Xueyuan (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Ave., Qixia Districts, 210023, Nanjing, China); Ji, Rong (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Ave., Qixia Districts, 210023, Nanjing, China); Li, Mei (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Ave., Qixia Districts, 210023, Nanjing, China)","Li, Mei (Nanjing University)","Shi, Wangjinyu (Nanjing University); Wu, Yangyang (Nanjing University); Sun, Xue (Nanjing University); Gu, Xueyuan (Nanjing University); Ji, Rong (Nanjing University); Li, Mei (Nanjing University)",7,7,0.56,1.91,,https://app.dimensions.ai/details/publication/pub.1136747975,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4364,pub.1144716843,10.1038/s41598-022-04766-2,35039568,PMC8764062,Diagnosing challenges and setting priorities for sustainable water resource management under climate change,"Managing transboundary river basins requires balancing tradeoffs of sustainable water use and coping with climate uncertainty. We demonstrate an integrated approach to exploring these issues through the lens of a social-ecological system, combining remote and in-situ earth observations, hydrologic and climate models, and social surveys. Specifically, we examine how climate change and dam development could impact the Se Kong, Se San and Sre Pok rivers in the Mekong region. We find that climate change will lead to increased precipitation, necessitating a shift in dam operations, from maintaining low flows to reducing flood hazards. We also find that existing water governance systems in Laos, Vietnam, and Cambodia are ill-prepared to address the problem. We conclude that the solution space for addressing these complex issues will be highly constrained unless major deficiencies in transboundary water governance, strategic planning, financial capacity, information sharing, and law enforcement are remedied in the next decades.","This work was supported by the National Aeronautics and Space Administration (NASA) and the nonprofit Conservation International partnership (Space Act Agreement number 27304) that is dedicated to improving natural resources assessment for conservation and sustainable management on water resources along the Mekong River in southeast Asia and land ecosystems in Africa. Conservation International staff (Kashif Shaad, Nicholas Souter and Derek Vollmer) were supported by grants from the Victor and William Fung Foundation and the Pisces Foundation. Climate scenarios used for this work were from the NEX-GDDP dataset, prepared by the Climate Analytics Group and NASA Ames Research Center using the NASA Earth Exchange, and distributed by the NASA Center for Climate Simulation (NCCS). Any opinions, findings, and conclusions or recommendations expressed in this work are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Agency, Conservation International, and Science Applications International Corporation.",,Scientific Reports,,,,2022-01-17,2022,2022-01-17,,12,1,796,All OA; Gold,Article,"Mohammed, Ibrahim Nourein; Bolten, John D.; Souter, Nicholas J.; Shaad, Kashif; Vollmer, Derek","Mohammed, Ibrahim Nourein (Science Applications International Corporation, Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Mail Code 617.0, 20771, Greenbelt, MD, USA); Bolten, John D. (Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Mail Code 617.0, 20771, Greenbelt, MD, USA); Souter, Nicholas J. (Conservation International, Greater Mekong Program, 5005, Adelaide, SA, Australia); Shaad, Kashif (Conservation International, Betty and Gordon Moore Center for Science, 22202, Arlington, VA, USA); Vollmer, Derek (Conservation International, Betty and Gordon Moore Center for Science, 22202, Arlington, VA, USA)","Mohammed, Ibrahim Nourein (Goddard Space Flight Center)","Mohammed, Ibrahim Nourein (Goddard Space Flight Center); Bolten, John D. (Goddard Space Flight Center); Souter, Nicholas J. (Conservation International, Greater Mekong Program, 5005, Adelaide, SA, Australia); Shaad, Kashif (Conservation International); Vollmer, Derek (Conservation International)",17,17,1.29,9.08,https://www.nature.com/articles/s41598-022-04766-2.pdf,https://app.dimensions.ai/details/publication/pub.1144716843,37 Earth Sciences; 3707 Hydrology,13 Climate Action
4362,pub.1158538455,10.1038/s41467-023-38966-9,37263995,PMC10235091,Seasonal catchment memory of high mountain rivers in the Tibetan Plateau,"Rivers originating in the Tibetan Plateau are crucial to the population in Asia. However, research about quantifying seasonal catchment memory of these rivers is still limited. Here, we propose a model able to accurately estimate terrestrial water storage change (TWSC), and characterize catchment memory processes and durations using the memory curve and the influence/domination time, respectively. By investigating eight representative basins of the region, we find that the seasonal catchment memory in precipitation-dominated basins is mainly controlled by precipitation, and that in non-precipitation-dominated basins is strongly influenced by temperature. We further uncover that in precipitation-dominated basins, longer influence time corresponds to longer domination time, with the influence/domination time of approximately six/four months during monsoon season. In addition, the long-term catchment memory is observed in non-precipitation-dominated basins. Quantifying catchment memory can identify efficient lead times for seasonal streamflow forecasts and water resource management.","The authors would like to thank China National Key Research for Development Plan (2021YFC3201105, Y.P.X.) and National Natural Science Foundation of China (52209036, H.G.; 51909233, S.P.; 52109037, J.X.) for the financial support. We are grateful to National Tibetan Plateau Data Center (http://data.tpdc.ac.cn) and National Cryosphere Desert Data Center (http://www.ncdc.ac.cn) to provide the datasets for modeling. We are also grateful to PlatEMO to provide the code of NSGA-II.",,Nature Communications,,,,2023-06-01,2023,2023-06-01,,14,1,3173,All OA; Gold,Article,"Gu, Haiting; Xu, Yue-Ping; Liu, Li; Xie, Jingkai; Wang, Lu; Pan, Suli; Guo, Yuxue","Gu, Haiting (Institute of Water Science and Engineering, College of Civil Engineering and Architecture, Zhejiang University, 310058, Hangzhou, China); Xu, Yue-Ping (Institute of Water Science and Engineering, College of Civil Engineering and Architecture, Zhejiang University, 310058, Hangzhou, China); Liu, Li (Institute of Water Science and Engineering, College of Civil Engineering and Architecture, Zhejiang University, 310058, Hangzhou, China); Xie, Jingkai (Institute of Water Science and Engineering, College of Civil Engineering and Architecture, Zhejiang University, 310058, Hangzhou, China); Wang, Lu (Institute of Water Science and Engineering, College of Civil Engineering and Architecture, Zhejiang University, 310058, Hangzhou, China); Pan, Suli (Institute of Water Science and Engineering, College of Civil Engineering and Architecture, Zhejiang University, 310058, Hangzhou, China); Guo, Yuxue (Institute of Water Science and Engineering, College of Civil Engineering and Architecture, Zhejiang University, 310058, Hangzhou, China)","Xu, Yue-Ping (Zhejiang University)","Gu, Haiting (Zhejiang University); Xu, Yue-Ping (Zhejiang University); Liu, Li (Zhejiang University); Xie, Jingkai (Zhejiang University); Wang, Lu (Zhejiang University); Pan, Suli (Zhejiang University); Guo, Yuxue (Zhejiang University)",6,6,,,https://www.nature.com/articles/s41467-023-38966-9.pdf,https://app.dimensions.ai/details/publication/pub.1158538455,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
4360,pub.1148759857,10.1007/s11356-022-21294-8,35713836,,"Modeling the fecal contamination (fecal coliform bacteria) in transboundary waters using the scenario matrix approach: a case study of Sutlej River, Pakistan","Abstract
Surface water quality is among the significant challenges in the Sutlej River basin, passing through Pakistan’s most densely populated province. Currently, the overall surface water quality is grossly polluted, mainly due to the direct discharge of wastewater from the urban areas to the Sutlej River directly or through stream networks. Escherichia coli concentrations vary under extreme weather events like floods and droughts and socioeconomic circumstances like urbanization, population growth, and treatment options. This paper assesses the future E. coli load and concentrations using the Soil and Water Assessment Tool (SWAT) along with scenarios based on Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) developed by the Intergovernmental Panel on Climate Change (IPCC). E. coli concentrations according to a more polluted scenario disclose a near and mid future increase by 108% and 173%, and far future increases up to 251% compared to the reference period (baseline) concentrations. The E. coli concentration is reduced by − 54%, − 68%, and − 81% for all the projected time steps compared to the baseline concentrations. While highly improved sewerage and manure management options are adapted, the concentration is further reduced by − 96%, − 101%, and − 105%, respectively, compared to the baseline. Our modeling and scenario matrix study shows that reducing microbiological concentrations in the surface water is possible. Still, it requires rigorous sanitation and treatment options, and socioeconomic variables play an essential role besides climate change to determine the microbiological concentration of water resources and be included in future studies whenever water quality and health risks are considered.",The authors would like to acknowledge the Pakistan Meteorological Department and Surface Water Hydrology Section of the WAPDA for providing us with the discharge data of the Sutlej River.,"This research was financially supported by the Department of Space Science, Institute of Space Technology, Islamabad, Pakistan.",Environmental Science and Pollution Research,,,Rivers; Escherichia coli; Wastewater; Manure; Pakistan; Soil,2022-06-17,2022,2022-06-17,2022-11,29,52,79555-79566,Closed,Article,"Iqbal, Muhammad Shahid; Islam, Majedul; Hassan, Mujtaba; Bilal, Hazrat; Shah, Izaz Ali; Ourania, Tzoraki","Iqbal, Muhammad Shahid (Department of Space Science, Institute of Space Technology, Islamabad, Pakistan); Islam, Majedul (Planning Division, Ministry of Planning, Government of Bangladesh, Dhaka, Bangladesh); Hassan, Mujtaba (Department of Space Science, Institute of Space Technology, Islamabad, Pakistan); Bilal, Hazrat (State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, 100875, Beijing, China); Shah, Izaz Ali (State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, 100875, Beijing, China); Ourania, Tzoraki (Department of Marine Sciences, University of the Aegean, Mytilene, Greece)","Iqbal, Muhammad Shahid (Institute of Space Technology)","Iqbal, Muhammad Shahid (Institute of Space Technology); Islam, Majedul (Government of Bangladesh); Hassan, Mujtaba (Institute of Space Technology); Bilal, Hazrat (State Key Joint Laboratory of Environment Simulation and Pollution Control); Shah, Izaz Ali (State Key Joint Laboratory of Environment Simulation and Pollution Control); Ourania, Tzoraki (University of the Aegean)",1,1,,0.53,,https://app.dimensions.ai/details/publication/pub.1148759857,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,13 Climate Action; 6 Clean Water and Sanitation
4360,pub.1150995126,10.1007/s11356-022-22943-8,36100789,,Water demand in watershed forecasting using a hybrid model based on autoregressive moving average and deep neural networks,"Increasing water demand is exacerbating water shortages in water-scarce regions (such as India, China, and Iran). Effective water demand forecasting is essential for the sustainable management of water supply systems in watersheds. To alleviate the contradiction between water supply and demand in the basin, with water demand for economic growth as the main target, a hybrid moving autoregressive and deep neural network model (ARMA-DNN) was developed in this study, and four commonly used statistical indicators (MAE, RMSE, MSE, and R2) were selected to evaluate the performance of the model. Finally, the validity and practicality of the model were verified by taking the Minjiang River basin in China as an example. The results show that (a) the model can predict future water demand more accurately under the conditions of actual water consumption changes, (b) the ideal agricultural production in the Minjiang River Basin is predicted to be reached 2.26 × 109t in 2021, and (c) the highest industrial economic efficiency in Chengdu is 1.51 × 109yuan, while water satisfaction reaches 102%. This means that effective water demand forecasting can alleviate water demand conflicts under climate change conditions to a certain extent. At the same time, watershed managers can develop different water allocation schemes based on the prediction results of the hybrid ARMA-DNN model.",,This work was supported by the National Natural Science Foundation of China (Grant numbers [71771157]) and the Fundamental Research Funds for the System Science and Enterprise Development Research Center of Sichuan Key Research Base of Social Sciences (Grant number [Xq21B11]).,Environmental Science and Pollution Research,,,"Water; Neural Networks, Computer; Agriculture; Water Supply; Seasons; Forecasting; China",2022-09-14,2022,2022-09-14,2023-01,30,5,11946-11958,All OA; Green,Article,"Liu, Guangze; Yuan, Mingkang; Chen, Xudong; Lin, Xiaokun; Jiang, Qingqing","Liu, Guangze (College of Management Science, Chengdu University of Technology, 610059, Chengdu, China); Yuan, Mingkang (College of Management Science, Chengdu University of Technology, 610059, Chengdu, China); Chen, Xudong (College of Management Science, Chengdu University of Technology, 610059, Chengdu, China); Lin, Xiaokun (College of Management Science, Chengdu University of Technology, 610059, Chengdu, China); Jiang, Qingqing (College of Management, Xihua University, 610039, Chengdu, China)","Yuan, Mingkang (Chengdu University of Technology)","Liu, Guangze (Chengdu University of Technology); Yuan, Mingkang (Chengdu University of Technology); Chen, Xudong (Chengdu University of Technology); Lin, Xiaokun (Chengdu University of Technology); Jiang, Qingqing (Xihua University)",2,2,,1.46,https://www.researchsquare.com/article/rs-1444503/latest.pdf,https://app.dimensions.ai/details/publication/pub.1150995126,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4352,pub.1150356871,10.1371/journal.pone.0269389,35984820,PMC9390902,Response of future hydropower generation of cascade reservoirs to climate change in alpine regions,"Climate warming accelerates the hydrological cycle, especially in high-latitude and high-altitude areas. The increase in temperature will increase the amount of snow and glacier melting and change the runoff, which will affect the operations of cascade reservoirs significantly. Therefore, taking the upper reaches of the Yellow River with an alpine climate as an example, we propose an improved SIMHYD-SNOW, which considers the snowmelt runoff process. The impacts of climate changes on the runoff process were revealed based on the SIMHYD-SNOW model using the precipitation and temperature data predicted by the SDSM model. A model for the maximum power generation of the cascade reservoirs in the upper reaches of the Yellow River was constructed to explore the impacts of climate changes on the inter-annual and intra-annual hydropower generation of the cascade reservoirs at different periods in the future. The results show that climate change has changed the spatial and temporal allocation of water resources in this area. The future runoff will decrease during the flood period (July to September) but increase significantly during the non-flood period. The inter-annual and intra-annual hydropower generation under the RCP8.5 climate change scenario is significantly lower than the RCP2.6 and RCP4.5 climate change scenarios, and as the CO2 emission concentration increases, this gap increases significantly. This study can provide technical references for the precise formulation of water resources management under climate change.","The authors are grateful to anonymous reviewers for their detailed comments, which have significantly improved the presentation of this work. Readers can also contact the corresponding author via &lt;xuyi@nhri.cn&gt; for questions about the paper.","This work was financially supported by the National Natural Science Foundation of China [91847301], the Innovation Team of Yangtze River Protection and Green Development Research (Y220011) and the central public welfare research institutes [Y520009]. Meanwhile, the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Juan A. Añel,Climate Change; European Alpine Region; Floods; Rivers; Water Resources,2022-08-19,2022,2022-08-19,,17,8,e0269389,All OA; Gold,Article,"Yan, Bing; Xu, Yi; Liu, Heng; Huang, Changshuo","Yan, Bing (Hydrology and Water Resources Department, Nanjing Hydraulic Research Institute, Nanjing, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Nanjing, China); Xu, Yi (Hydrology and Water Resources Department, Nanjing Hydraulic Research Institute, Nanjing, China; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Nanjing, China); Liu, Heng (Hydrology and Water Resources Department, Nanjing Hydraulic Research Institute, Nanjing, China; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Nanjing, China); Huang, Changshuo (Hydrology and Water Resources Department, Nanjing Hydraulic Research Institute, Nanjing, China; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Nanjing, China)","Xu, Yi (Nanjing Hydraulic Research Institute; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering)","Yan, Bing (Nanjing Hydraulic Research Institute; Hohai University; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering); Xu, Yi (Nanjing Hydraulic Research Institute; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering); Liu, Heng (Nanjing Hydraulic Research Institute; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering); Huang, Changshuo (Nanjing Hydraulic Research Institute; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering)",0,0,,0.0,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0269389&type=printable,https://app.dimensions.ai/details/publication/pub.1150356871,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,13 Climate Action; 7 Affordable and Clean Energy
4349,pub.1156566457,10.1038/s41467-023-37062-2,36977667,PMC10050181,The color of environmental noise in river networks,"Despite its far-reaching implications for conservation and natural resource management, little is known about the color of environmental noise, or the structure of temporal autocorrelation in random environmental variation, in streams and rivers. Here, we analyze the geography, drivers, and timescale-dependence of noise color in streamflow across the U.S. hydrography, using streamflow time series from 7504 gages. We find that daily and annual flows are dominated by red and white spectra respectively, and spatial variation in noise color is explained by a combination of geographic, hydroclimatic, and anthropogenic variables. Noise color at the daily scale is influenced by stream network position, and land use and water management explain around one third of the spatial variation in noise color irrespective of the timescale considered. Our results highlight the peculiarities of environmental variation regimes in riverine systems, and reveal a strong human fingerprint on the stochastic patterns of streamflow variation in river networks.","T.T. was funded by the National Natural Science Foundation of China (52109046, 51861125203) and the National Socio-Environmental Synthesis Center (SESYNC) under funding received from the National Science Foundation (DBI-1639145), Albert Ruhi and Lise Comte were funded by UC Berkeley new faculty start-up funds, and Albert Ruhi was further funded by NSF CAREER DEB-2047324.",,Nature Communications,,,,2023-03-28,2023,2023-03-28,,14,1,1728,All OA; Gold,Article,"Tu, Tongbi; Comte, Lise; Ruhi, Albert","Tu, Tongbi (School of Civil Engineering, Sun Yat-sen University, 519082, Guangdong, China; Department of Environmental Science, Policy & Management, University of California, 94702, Berkeley, CA, USA); Comte, Lise (School of Biological Sciences, Illinois State University, 61790, Normal, IL, USA); Ruhi, Albert (Department of Environmental Science, Policy & Management, University of California, 94702, Berkeley, CA, USA)","Tu, Tongbi (Sun Yat-sen University; University of California, Berkeley)","Tu, Tongbi (Sun Yat-sen University; University of California, Berkeley); Comte, Lise (Illinois State University); Ruhi, Albert (University of California, Berkeley)",5,5,,,https://www.nature.com/articles/s41467-023-37062-2.pdf,https://app.dimensions.ai/details/publication/pub.1156566457,31 Biological Sciences; 3103 Ecology; 44 Human Society,15 Life on Land
4349,pub.1011939788,10.2175/106143016x14696400495370,27620102,,"Stream, Lake, and Reservoir Management","This review on stream, lake, and reservoir management covers selected 2015 publications on the focus of the following sections: • Biota • Climate effect • Models • Remediation and restoration • Reservoir operations • Stream, Lake, and Reservoir Management • Water quality.",,,Water Environment Research,,,"Climate; Conservation of Natural Resources; Environmental Monitoring; Environmental Restoration and Remediation; Lakes; Rivers; Water Pollution, Chemical; Water Quality",2016-10,2016,2016-10,2016-10,88,10,1533-1563,All OA; Bronze,Article,"Mei, Ying; Chang, Chein‐Chi; Dong, Zhanfeng; Wei, Li","Mei, Ying (Department of Environmental Science and Engineering, School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China); Chang, Chein‐Chi (Department of Environmental Science and Engineering, School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China); Dong, Zhanfeng (Department of Environmental Science and Engineering, School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China); Wei, Li (Department of Environmental Science and Engineering, School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)",,"Mei, Ying (Inner Mongolia University of Technology); Chang, Chein‐Chi (Inner Mongolia University of Technology); Dong, Zhanfeng (Inner Mongolia University of Technology); Wei, Li (Inner Mongolia University of Technology)",7,3,,0.97,https://onlinelibrary.wiley.com/doi/pdfdirect/10.2175/106143016X14696400495370,https://app.dimensions.ai/details/publication/pub.1011939788,31 Biological Sciences; 3103 Ecology,
4348,pub.1133331424,10.3390/ijerph17239091,33291432,PMC7730606,System Dynamics Model for Evaluating Socio-Economic Impacts of Different Water Diversion Quantity from Transboundary River Basins—A Case Study of Xinjiang,"With the rapid development of social economy and global climate warming, scarce transboundary water resources, as one of the basic resources for socio-economic development, have increasingly become the focus of basin countries. To investigate the socio-economic impacts of different water diversion quantity from transboundary river basins, we used a system dynamics (SD) model to reflect interactions between population, water resources, and socio-economic development, and applied it to a case study in Xinjiang to simulate its change tendency from 2011 to 2030 from the temporal dimension. Then, four water diversion quantity of transboundary river basins and four alternative socio-economic development patterns were designed to comprehensively evaluate these impacts of water diversion quantity change on the socio-economy of the region along the river under different socio-economic development patterns. The results indicate that (1) there was a positive correlation between water diversion quantity and the economic output value of the region along transboundary river basins, and the marginal benefit of transboundary water resources would decrease gradually; (2) considering the difficulty of water diversion from transboundary river basins and the protection of downstream water use and ecological health of transboundary river basins, we believe that increasing the transboundary water resources by 20% was more conducive to the sustainable development of Xinjiang's socio-economy; (3) through the comparison of dynamic evolutions of socio-economic development and water impacts under four socio-economic development patterns, it is best for Xinjiang to plan its future development in the coordinated development of economic-resource scenario. Following this scenario, not only would the total output value of the socio-economy be better than other scenarios, but this also helps to alleviate the contradiction between the water supply and demand, which expected there would be a water shortage of 1.04 billion m3 in 2029 under 20% increase in water diversion quantity. Therefore, appropriate water diversion quantity, reasonable adjustment of industrial production growth rate, reduction of water consumption quotas of different industries and domestic water quota, and improvement of collection and treatment rate for sewage should be given priority in water resources management decision-making in Xinjiang or other arid regions along transboundary river basins.",,This research was supported by the Major Projects of the National Social Science Fund of the People’s Republic of China (Project No. 17ZDA064).,International Journal of Environmental Research and Public Health,,,"Models, Theoretical; Rivers; Socioeconomic Factors; Water; Water Quality; Water Supply",2020-12-01,2020,2020-12-05,2020-12-01,17,23,9091,All OA; Gold,Article,"Shao, Zhiying; Wu, Fengping; Li, Fang; Zhao, Yue; Xu, Xia","Shao, Zhiying (Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China); Wu, Fengping (Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China); Li, Fang (Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China); Zhao, Yue (Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China); Xu, Xia (Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China)","Wu, Fengping (Hohai University; Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Development and Reform Commission)","Shao, Zhiying (Hohai University; Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Development and Reform Commission); Wu, Fengping (Hohai University; Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Development and Reform Commission); Li, Fang (Hohai University; Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Development and Reform Commission); Zhao, Yue (Hohai University; Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Development and Reform Commission); Xu, Xia (Hohai University; Business School, Hohai University, Nanjing 211100, China;, shao_zy@hhu.edu.cn, (Z.S.);, lf@hhu.edu.cn, (F.L.);, zh_yyyyy@hhu.edu.cn, (Y.Z.);, 170212070004@hhu.edu.cn, (X.X.); National Development and Reform Commission)",7,4,0.32,2.41,https://www.mdpi.com/1660-4601/17/23/9091/pdf?version=1607322457,https://app.dimensions.ai/details/publication/pub.1133331424,37 Earth Sciences; 3707 Hydrology; 44 Human Society; 4407 Policy and Administration,6 Clean Water and Sanitation
4347,pub.1026239704,10.1016/j.scitotenv.2014.06.106,25017638,,Managing aquatic ecosystems and water resources under multiple stress — An introduction to the MARS project,"Water resources globally are affected by a complex mixture of stressors resulting from a range of drivers, including urban and agricultural land use, hydropower generation and climate change. Understanding how stressors interfere and impact upon ecological status and ecosystem services is essential for developing effective River Basin Management Plans and shaping future environmental policy. This paper details the nature of these problems for Europe's water resources and the need to find solutions at a range of spatial scales. In terms of the latter, we describe the aims and approaches of the EU-funded project MARS (Managing Aquatic ecosystems and water Resources under multiple Stress) and the conceptual and analytical framework that it is adopting to provide this knowledge, understanding and tools needed to address multiple stressors. MARS is operating at three scales: At the water body scale, the mechanistic understanding of stressor interactions and their impact upon water resources, ecological status and ecosystem services will be examined through multi-factorial experiments and the analysis of long time-series. At the river basin scale, modelling and empirical approaches will be adopted to characterise relationships between multiple stressors and ecological responses, functions, services and water resources. The effects of future land use and mitigation scenarios in 16 European river basins will be assessed. At the European scale, large-scale spatial analysis will be carried out to identify the relationships amongst stress intensity, ecological status and service provision, with a special focus on large transboundary rivers, lakes and fish. The project will support managers and policy makers in the practical implementation of the Water Framework Directive (WFD), of related legislation and of the Blueprint to Safeguard Europe's Water Resources by advising the 3rd River Basin Management Planning cycle, the revision of the WFD and by developing new tools for diagnosing and predicting multiple stressors.","AcknowledgementsThis work is part of the MARS project (Managing Aquatic ecosystems and water Resources under multiple Stress) funded under the 7th EU Framework Programme, Theme 6 (Environment including Climate Change), Contract No.: 603378 (http://www.mars-project.eu).",,The Science of The Total Environment,,,"Climate Change; Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Environmental Policy; Models, Theoretical; Water Resources; Water Supply",2014-07-10,2014,2014-07-10,2015-01,503,,10-21,Closed,Article,"Hering, Daniel; Carvalho, Laurence; Argillier, Christine; Beklioglu, Meryem; Borja, Angel; Cardoso, Ana Cristina; Duel, Harm; Ferreira, Teresa; Globevnik, Lidija; Hanganu, Jenica; Hellsten, Seppo; Jeppesen, Erik; Kodeš, Vit; Solheim, Anne Lyche; Nõges, Tiina; Ormerod, Steve; Panagopoulos, Yiannis; Schmutz, Stefan; Venohr, Markus; Birk, Sebastian","Hering, Daniel (University of Duisburg-Essen (UDE), Centre of Water and Environmental Research (ZWU), Germany); Carvalho, Laurence (Natural Environment Research Council (NERC), United Kingdom); Argillier, Christine (National Research Institute of science and Technology for Environment and Agriculture (IRSTEA), France); Beklioglu, Meryem (Middle East Technical University (METU), Turkey); Borja, Angel (AZTI-Tecnalia (AZTI), Spain); Cardoso, Ana Cristina (European Commission Joint Research Centre (JRC), Italy); Duel, Harm (Stichting DELTARES (DELTARES), The Netherlands); Ferreira, Teresa (University of Lisbon (ULisboa), Portugal); Globevnik, Lidija (University of Ljubljana (UL), Slovenia); Hanganu, Jenica (Danube Delta National Institute for Research and Development (DDNI), Romania); Hellsten, Seppo (Finnish Environment Institute (SYKE), Finland); Jeppesen, Erik (Aarhus University (AU), Denmark); Kodeš, Vit (Czech Hydrometeorological Institute (CHMI), Czech Republic); Solheim, Anne Lyche (Norwegian Institute for Water Research (NIVA), Norway); Nõges, Tiina (Estonian University of Life Sciences (EMU), Estonia); Ormerod, Steve (Cardiff University (CU), United Kingdom); Panagopoulos, Yiannis (National Technical University of Athens (NTUA), Greece); Schmutz, Stefan (University of Natural Resources and Life Sciences (BOKU), Austria); Venohr, Markus (Leibniz-Institute of Freshwater Ecology and Inland Fisheries (FVB-IGB), Germany); Birk, Sebastian (University of Duisburg-Essen (UDE), Centre of Water and Environmental Research (ZWU), Germany)","Hering, Daniel (University of Duisburg-Essen)","Hering, Daniel (University of Duisburg-Essen); Carvalho, Laurence (Natural Environment Research Council); Argillier, Christine (National Research Institute of science and Technology for Environment and Agriculture (IRSTEA), France); Beklioglu, Meryem (Middle East Technical University); Borja, Angel (Tecnalia); Cardoso, Ana Cristina (Joint Research Centre); Duel, Harm (Deltares); Ferreira, Teresa (University of Lisbon); Globevnik, Lidija (University of Ljubljana); Hanganu, Jenica (Danube Delta National Institute for Research and Development); Hellsten, Seppo (Finnish Environment Institute); Jeppesen, Erik (Aarhus University); Kodeš, Vit (Czech Hydrometeorological Institute); Solheim, Anne Lyche (Norwegian Institute for Water Research); Nõges, Tiina (Estonian University of Life Sciences); Ormerod, Steve (Cardiff University); Panagopoulos, Yiannis (National Technical University of Athens); Schmutz, Stefan (University of Natural Resources and Life Sciences); Venohr, Markus (Leibniz Institute of Freshwater Ecology and Inland Fisheries); Birk, Sebastian (University of Duisburg-Essen)",246,48,5.8,24.38,,https://app.dimensions.ai/details/publication/pub.1026239704,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences; 38 Economics; 41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,15 Life on Land; 7 Affordable and Clean Energy
4342,pub.1149101861,10.1038/s41598-022-15488-w,35773335,PMC9247089,eDNA metabarcoding as a promising conservation tool to monitor fish diversity in Beijing water systems compared with ground cages,"Fish diversity, an important indicator of the health of aquatic ecosystems, is declining sharply due to water pollution, overfishing, climate change, and species invasion. For protecting fish diversity, effective surveying and monitoring are prerequisites. In this study, eDNA (environmental DNA) metabarcoding and ground cages were used to survey the fish diversity of the Chaobai and Beiyun Rivers in Beijing. Based on the two methods, we identified 40 species, belonging to 35 genera, 18 families, and six orders. The richness of fish identified by eDNA metabarcoding was significantly higher than that captured by ground cages in both rivers. The fish captured by the ground cage method were all recognized by eDNA metabarcoding, except Squalidus wolterstorffi and Saurogobio dabryi, which were captured only in ground cages. The correlation of relative abundance between the two methods was affected by the properties of the rivers, such as the flow rate. Fish caught by ground cage in the Beiyun River were identified by eDNA, but not in the Chaobai River. Our results also suggest that the Chaobai River has higher fish diversity than the Beiyun River and different community assemblage. In addition to differences in the natural properties of the focal rivers, the development of urbanization is also an important contributor to different community structures overserved. eDNA metabarcoding as a new survey tool has great application prospects, it provides certain theoretical data and methodological references for the protection and management of river fish diversity.","This study was financially supported by the Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment, China (Grant Number 2019HJ2096001006).",,Scientific Reports,,,"Animals; Beijing; Biodiversity; Conservation of Natural Resources; DNA Barcoding, Taxonomic; DNA, Environmental; Ecosystem; Environmental Monitoring; Fisheries; Fishes; Water",2022-06-30,2022,2022-06-30,,12,1,11113,All OA; Gold,Article,"Shen, Mei; Xiao, Nengwen; Zhao, Ziyi; Guo, Ningning; Luo, Zunlan; Sun, Guang; Li, Junsheng","Shen, Mei (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012, Beijing, China); Xiao, Nengwen (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012, Beijing, China); Zhao, Ziyi (Lanzhou University, 730000, Lanzhou, China); Guo, Ningning (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012, Beijing, China); Luo, Zunlan (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012, Beijing, China); Sun, Guang (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012, Beijing, China); Li, Junsheng (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012, Beijing, China)","Xiao, Nengwen (Chinese Research Academy of Environmental Sciences)","Shen, Mei (Chinese Research Academy of Environmental Sciences); Xiao, Nengwen (Chinese Research Academy of Environmental Sciences); Zhao, Ziyi (Lanzhou University); Guo, Ningning (Chinese Research Academy of Environmental Sciences); Luo, Zunlan (Chinese Research Academy of Environmental Sciences); Sun, Guang (Chinese Research Academy of Environmental Sciences); Li, Junsheng (Chinese Research Academy of Environmental Sciences)",7,7,1.29,5.38,https://www.nature.com/articles/s41598-022-15488-w.pdf,https://app.dimensions.ai/details/publication/pub.1149101861,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences; 41 Environmental Sciences",14 Life Below Water
4337,pub.1162935792,10.1016/j.jenvman.2023.118725,37540980,,Linking ecosystem service flow to water-related ecological security pattern: A methodological approach applied to a coastal province of China,"Water security is a critical concern due to intensifying anthropogenic activities and climate change. Delineating a water-related ecological security pattern can help to optimize spatial configuration, which in turn can inform sustainable water management. However, the methodology remains unclear. In this study, we developed a framework linking ecosystem service flow to water-related ecological security pattern; hence, we identified the sources, sinks, key corridors, and vulnerable nodes in Fujian Province, China. Our results revealed that the sources were located inland at high altitudes with a decreasing area trend in the south and an increasing area trend in the north, whereas the sinks were spread in coastal areas and exhibited a decreasing trend with relatively stable spatial distribution. The water-related ecological security has degraded as represented by a decreasing ecological supply-demand ratio over the last 30 years. Key corridors were identified in 17.12% of the rivers, and 22.5% of the vulnerable nodes were recognized as early warning nodes. Climate variability affected source distribution, while anthropogenic activities drove sink dynamics. These findings have important implications including landscape pattern planning and sustainable water management in the context of accelerated land use/cover and climate changes.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This study was supported by the National Natural Science Foundation of China (Grant No. 41971231; No. 52200213).,,Journal of Environmental Management,,,Ecosystem; Conservation of Natural Resources; China; Rivers; Anthropogenic Effects,2023-08-02,2023,2023-08-02,2023-11,345,,118725,Closed,Article,"Chen, Zilong; Lin, Jingyu; Huang, Jinliang","Chen, Zilong (Fujian Key Laboratory of Coastal Pollution Prevention and Control, Xiamen University, Xiamen, 361102, China. Electronic address: chenzilong@stu.xmu.edu.cn.); Lin, Jingyu (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China. Electronic address: linjingy@gdut.edu.cn.); Huang, Jinliang (Fujian Key Laboratory of Coastal Pollution Prevention and Control, Xiamen University, Xiamen, 361102, China. Electronic address: jlhuang@xmu.edu.cn.)","Huang, Jinliang (Xiamen University)","Chen, Zilong (Xiamen University); Lin, Jingyu (Guangdong University of Technology); Huang, Jinliang (Xiamen University)",11,11,,,,https://app.dimensions.ai/details/publication/pub.1162935792,37 Earth Sciences; 41 Environmental Sciences; 4102 Ecological Applications,15 Life on Land
4329,pub.1084107832,10.1016/j.scitotenv.2017.02.226,28273593,,Introducing a water quality index for assessing water for irrigation purposes: A case study of the Ghezel Ozan River,"Rivers are one of the main water resources for agricultural, drinking, environmental and industrial use. Water quality indices can and have been used to identify threats to water quality along a stream and contribute to better water resources management. There are many water quality indices for the assessment and use of surface water for drinking purposes. However, there is no well-established index for the assessment and direct use of river water for irrigation purposes. The aim of this study was to adopt the framework of the National Sanitation Foundation Water Quality Index (NSFWQI) and, with adjustments, apply it in a way which will conform to irrigation water quality requirements. To accomplish this, the NSFWQI parameters for drinking water use were amended to include water quality parameters suitable for irrigation. For each selected parameter, an individual weighting chart was generated according to the FAO 29 guideline. The NSFWQI formula was then used to calculate a final index value, and for each parameter an acceptable range in this value was determined. The new index was then applied to the Ghezel Ozan River in Iran as a case study. A forty five year record of water quality data (1966 to 2010) was collected from four hydrometery stations along the river. Water quality parameters including Na+, Cl-, pH, HCO-3, EC, SAR and TDS were employed for water quality analysis using the adjusted NSFWQI formula. The results of this case study showed variation in water quality from the upstream to downstream ends of the river. Consistent monitoring of the river water quality and the establishment of a long term management plan were recommended for the protection of this valuable water resource.",,,The Science of The Total Environment,,,,2017-03-06,2017,2017-03-06,2017-07,589,,107-116,Closed,Article,"Misaghi, Farhad; Delgosha, Fatemeh; Razzaghmanesh, Mostafa; Myers, Baden","Misaghi, Farhad (Water engineering Department, University of Zanjan, Iran); Delgosha, Fatemeh (Water engineering Department, University of Zanjan, Iran); Razzaghmanesh, Mostafa (School of Natural and Built Environments, University of South Australia, Adelaide, Australia; ORISE Postdoc at US EPA Office of Research and Development); Myers, Baden (School of Natural and Built Environments, University of South Australia, Adelaide, Australia)","Razzaghmanesh, Mostafa (University of South Australia; ORISE Postdoc at US EPA Office of Research and Development)","Misaghi, Farhad (University of Zanjan); Delgosha, Fatemeh (University of Zanjan); Razzaghmanesh, Mostafa (University of South Australia; ORISE Postdoc at US EPA Office of Research and Development); Myers, Baden (University of South Australia)",175,74,3.91,32.4,,https://app.dimensions.ai/details/publication/pub.1084107832,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4323,pub.1163683594,10.1007/s10661-023-11782-w,37648931,,"Environmental vulnerability assessment of the Doce River basin, southeastern Brazil","Environmental vulnerability is an important tool to understand the natural and anthropogenic impacts associated with the susceptibility to environmental damage. This study aims to assess the environmental vulnerability of the Doce River basin in Brazil through Multicriteria Decision Analysis based on Geographic Information Systems (GIS-MCDA). Natural factors (slope, elevation, relief dissection, rainfall, pedology, and geology) and anthropogenic factors (distance from urban centers, roads, mining dams, and land use) were used to determine the environmental vulnerability index (EVI). The EVI was classified into five classes, identifying associated land uses. Vulnerability was verified in water resource management units (UGRHs) and municipalities using hot spot analysis. The study employed the water quality index (WQI) to assess the EVI and global sensitivity analysis (GSA) to evaluate the model input parameters that most influence the basin’s environmental vulnerability. The results showed that the regions near the middle Doce River were considered environmentally more vulnerable, especially the UGRHs Guandu, Manhuaçu, and Caratinga; and 35.9% of the basin has high and very high vulnerabilities. Hot spot analysis identified regions with low EVI values (cold spot) in the north and northwest, while areas with high values (hot spot) were concentrated mainly in the middle Doce region. Water monitoring stations with the worst WQI values were found in the most environmentally vulnerable areas. The GSA determined that land use and slope were the primary factors influencing the model’s response. The results of this study provide valuable information for supporting environmental planning in the Doce River basin.",,"This study was financed by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), process no. CNPq 140418/2020–2, and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.",Environmental Monitoring and Assessment,,,Brazil; Rivers; Environmental Monitoring; Anthropogenic Effects; Geographic Information Systems,2023-08-31,2023,2023-08-31,2023-09,195,9,1119,Closed,Article,"Campos, Jasmine Alves; da Silva, Demetrius David; Fernandes Filho, Elpídio Inácio; Pires, Gabrielle Ferreira; Amorim, Ricardo Santos Silva; de Menezes Filho, Frederico Carlos Martins; de Melo Ribeiro, Celso Bandeira; Uliana, Eduardo Morgan; Aires, Uilson Ricardo Venâncio","Campos, Jasmine Alves (Department of Agricultural Engineer, Federal University of Viçosa, 36570-900, Vicosa, Brazil); da Silva, Demetrius David (Department of Agricultural Engineer, Federal University of Viçosa, 36570-900, Vicosa, Brazil); Fernandes Filho, Elpídio Inácio (Department of Soil and Plant Nutrition, Federal University of Viçosa, 36570-900, Vicosa, Brazil); Pires, Gabrielle Ferreira (Department of Agricultural Engineer, Federal University of Viçosa, 36570-900, Vicosa, Brazil); Amorim, Ricardo Santos Silva (Department of Agricultural Engineer, Federal University of Viçosa, 36570-900, Vicosa, Brazil); de Menezes Filho, Frederico Carlos Martins (Department of Civil Engineer, Federal University of Viçosa, Campus Rio Paranaíba, 38810-000, Rio Paranaiba, Brazil); de Melo Ribeiro, Celso Bandeira (Department of Environmental and Sanitary Engineer, Federal University of Juiz de Fora, 36036-900, Juiz de Fora, Brazil); Uliana, Eduardo Morgan (Institute of Agrarian and Environmental Sciences, Federal University of Mato Grosso, Campus Sinop, 78557-267, Sinop, Brazil); Aires, Uilson Ricardo Venâncio (Department of Agricultural and Biological Engineering, Mississippi State University, 39759, Starkville, USA)","Campos, Jasmine Alves (Universidade Federal de Viçosa)","Campos, Jasmine Alves (Universidade Federal de Viçosa); da Silva, Demetrius David (Universidade Federal de Viçosa); Fernandes Filho, Elpídio Inácio (Universidade Federal de Viçosa); Pires, Gabrielle Ferreira (Universidade Federal de Viçosa); Amorim, Ricardo Santos Silva (Universidade Federal de Viçosa); de Menezes Filho, Frederico Carlos Martins (Universidade Federal de Viçosa); de Melo Ribeiro, Celso Bandeira (Universidade Federal de Juiz de Fora); Uliana, Eduardo Morgan (Universidade Federal de Mato Grosso); Aires, Uilson Ricardo Venâncio (Mississippi State University)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1163683594,37 Earth Sciences; 3704 Geoinformatics; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4322,pub.1141620734,10.1007/s11356-021-16811-0,34609685,,Freshwater discharge from the large and coastal peninsular rivers of India: A reassessment for sustainable water management,"This study offers an updated mean annual water discharge of 10 large and 11 coastal basins of the Indian Peninsula and looks into environmental parameters influencing the water flux and discharge trends. The mean annual discharge of large and coastal rivers is estimated to be 221 and 294 km3. Thus, despite draining 25% of the Indian Peninsula, coastal rivers deliver more than half of the annual flux, and west-flowing coastal rivers contribute 85% of it. This study demonstrates temporal changes in the water discharge of various river basins. The presence of dams regulates discharge regimes of large rivers. The construction of large dams resulted in a significant decline in the water discharge of the Krishna, Cauvery, and Narmada. Through this study, we demonstrate the role of rainfall, catchment size, water loss through evapotranspiration and infiltration, and societal use of water in determining the runoff of each basin. We recommend tapping the water resources of the west-flowing rivers for proper planning, development, and management to reduce the water stress in the peninsular region and promoting sustainable management.Graphical abstract","HG thanks the University Grants Commission, India, for the faculty position under Faculty Recharge Programme. KKR (IF150795) and VKG (IF160993) are grateful to the DST-Inspire Fellowship Program, India, for providing financial support. Databases accessible online on the portals of Central Water Commission and WRIS India were hugely helpful in carrying out this study. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Authors sincerely thank anonymous reviewers and editor for review and useful suggestions on this manuscript’s earlier version.",Financial support is provided by the Department of Science and Technology (DST)-INSPIRE fellowship program.,Environmental Science and Pollution Research,,,Environmental Monitoring; India; Rivers; Water Supply,2021-10-05,2021,2021-10-05,2022-02,29,10,14400-14417,Closed,Article,"Gupta, Harish; Reddy, Kiran Kumar; Gandla, Vamshikrishna; Paridula, Lingaraju; Chiluka, Mounika; Vashisth, Bhumika","Gupta, Harish (Department of Civil Engineering, Osmania University, 500007, Hyderabad, India); Reddy, Kiran Kumar (CSIR-National Institute of Oceanography, 530017, Andhra Pradesh, Visakhapatnam (RC), India); Gandla, Vamshikrishna (Department of Applied Geochemistry, Osmania University, 500007, Hyderabad, India); Paridula, Lingaraju (Department of Applied Geochemistry, Osmania University, 500007, Hyderabad, India); Chiluka, Mounika (Department of Applied Geochemistry, Osmania University, 500007, Hyderabad, India); Vashisth, Bhumika (Department of Applied Geochemistry, Osmania University, 500007, Hyderabad, India)","Gupta, Harish (Osmania University)","Gupta, Harish (Osmania University); Reddy, Kiran Kumar (National Institute of Oceanography); Gandla, Vamshikrishna (Osmania University); Paridula, Lingaraju (Osmania University); Chiluka, Mounika (Osmania University); Vashisth, Bhumika (Osmania University)",10,10,0.86,2.8,,https://app.dimensions.ai/details/publication/pub.1141620734,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,6 Clean Water and Sanitation
4314,pub.1168242065,10.1007/s11356-024-32094-7,38270765,,"Inundation dynamics of the natural and manmade wetlands in the Mayurakshi River basin, Eastern India","The present study aimed to measure wetland inundation inconsistency level (IIL) at a spatial scale to appraise the potential serviceability in the Mayurakshi river basin of Eastern India. Inconsistency was used for measuring both wetland water presence area and proxy water depth based on historical satellite images from 1988 to 2022. Applying inconsistency assessment, it was tried to assess how water appearance at a pixel is inconsistent and how average proxy water depth is inconsistent to attain. Four manmade and natural floodplain wetland complexes were taken for this. The study revealed about 51–53% and 59–86% manmade and natural wetland losses respectively and the IIL was also found significantly higher (30–50%) in the cases of natural wetlands in pre and post-monsoon seasons. The scenario is worse in pre-monsoon season in the natural wetlands. Inconsistency of water depth anomaly (IWDA) was also significantly increased almost in the same trend. Discharge control through hydro-engineering structures like dams, barrages, and embankments; river and wetland connecting tie channel loss; and loss of groundwater support are some crucial reasons behind the hydrological inconsistency of wetlands. Growing loss and IIL are caused for concerned economic and ecological adversity. So, the findings would be very useful for taking necessary planning for wetland management and restoration.",,,Environmental Science and Pollution Research,,,Wetlands; Rivers; Hydrology; Water; Groundwater; Ecosystem; Conservation of Natural Resources,2024-01-25,2024,2024-01-25,2024-02,31,9,14023-14042,Closed,Article,"Sarda, Rajesh; Pal, Swades","Sarda, Rajesh (Department of Geography, Delhi School of Economics, University of Delhi, 110007, Delhi, India); Pal, Swades (Department of Geography, University of Gour, Banga, India)","Pal, Swades (Department of Geography, University of Gour, Banga, India)","Sarda, Rajesh (University of Delhi); Pal, Swades (Department of Geography, University of Gour, Banga, India)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168242065,37 Earth Sciences; 3707 Hydrology,
4309,pub.1136000111,10.1371/journal.pone.0247604,33661966,PMC7932088,The gap of water supply—Demand and its driving factors: From water footprint view in Huaihe River Basin,"Climate change, population growth, the development of industrialization and urbanization are increasing the demand for water resources, but the water pollution is reducing the limited water supply. In recent years, the gap between water supply and demand which shows water scarcity situation is becoming more serious. Clear knowing this gap and its main driving factors could help us to put forward water protection measures correctly. We take the data of Huaihe River Basin from 2001 to 2016 as an example and use ecological water footprint to describe the demand, with the water carrying capacity representing the supply. We analyze the water supply-demand situation of Huaihe River Basin and its five provinces from footprint view in time and space. Then we apply the Logarithmic Mean Divisia Index model to analyze the driving factors of the ecological water footprint. The results show that: (1) the supply and demand balance of Huaihe River Basin was only achieved in year 2003 and 2005. There is also a large difference between Jiangsu province and other provinces in Huaihe River basin, most years in Jiangsu province per capital ecological footprint of water is more than 1 hm2/person except the years of 2003, 2015, and 2016. But other provinces are all less than 1 hm2/person. (2) Through the decomposition of water demand drivers, we concluded that economic development is the most important factor, with an annual contribution of more than 60%. Our study provides countermeasures and suggestions for the management and optimal allocation of water resources in Huaihe River Basin, and also provides reference for the formulation of water-saving policies in the world.","This research was funded by Hubei Key Laboratory of Construction and Management in Hydropower Engineering Fund of China Three Gorges University (Grant No.2016KSD19); Hui A. (Hui An) received the award, her website URL is: http://hee.ctgu.edu.cn/info/1100/6608.htm; the funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The fund of Research Center for Reservoir Resettlement, China Three Gorges University (Grant No.2019KQ03), Min A. (Min An) received the award, her website URL is: http://jg.ctgu.edu.cn/info/1039/3220.htm, the funder play a role in study design and prepare for manuscript; and funded by Science Foundation of Youth Science Foundation Project, China Three Gorges University (Grant No. KJ2019A001), Min A. (Min An) received the award, her website URL is: http://jg.ctgu.edu.cn/info/1039/3220.htm, the funder play a role in study design and prepare for manuscript. China Water Resources Huai River Planning, Design &amp; Research CO.LTD had no fund and no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We would like to appreciate anonymous reviewers and editor’s help to improve the quality of our research.",,PLOS ONE,,Abid Hussain,"Algorithms; China; Conservation of Natural Resources; Conservation of Water Resources; Ecosystem; Models, Theoretical; Rivers; Urbanization; Water Pollution; Water Resources; Water Supply",2021-03-04,2021,2021-03-04,,16,3,e0247604,All OA; Gold,Article,"An, Min; Fan, Lijuan; Huang, Jin; Yang, Wenjing; Wu, Hailin; Wang, Xiao; Khanal, Ribesh","An, Min (Hubei Key Laboratory of Construction and Management in Hydropower Engineering, China Three Gorges University, Yichang, Hubei Province, China; College of Economics & Management, China Three Gorges University, Yichang, Hubei Province, China); Fan, Lijuan (College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang, Hubei Province, China); Huang, Jin (College of Economics & Management, China Three Gorges University, Yichang, Hubei Province, China); Yang, Wenjing (College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang, Hubei Province, China); Wu, Hailin (College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang, Hubei Province, China); Wang, Xiao (College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang, Hubei Province, China); Khanal, Ribesh (College of Economics & Management, China Three Gorges University, Yichang, Hubei Province, China)","Huang, Jin (China Three Gorges University); Wu, Hailin (China Three Gorges University)","An, Min (China Three Gorges University; China Three Gorges University); Fan, Lijuan (China Three Gorges University); Huang, Jin (China Three Gorges University); Yang, Wenjing (China Three Gorges University); Wu, Hailin (China Three Gorges University); Wang, Xiao (China Three Gorges University); Khanal, Ribesh (China Three Gorges University)",22,20,1.05,9.87,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0247604&type=printable,https://app.dimensions.ai/details/publication/pub.1136000111,37 Earth Sciences; 3704 Geoinformatics; 38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,12 Responsible Consumption and Production; 6 Clean Water and Sanitation
4308,pub.1103173901,10.1016/j.jenvman.2018.03.100,29621701,,"Hydrological model using ground- and satellite-based data for river flow simulation towards supporting water resource management in the Red River Basin, Vietnam","The Red River basin (RRB) exhibits substantial variation of water resource seasonally and annually. Sustainable water resource management in the RRB has been challenging due to the lack of in situ hydrological measurement data over the basin-wide scale. To address this issue, this study aimed to perform the setting up, calibration, and validation of the variable infiltration capacity (VIC) hydrological model forced with ground- and satellite-based datasets at a high spatial resolution of 0.1° for simulating the daily river flow of the Red River system in the RRB during the period of 2005-2014. By using the finely resolved land cover characterization with 15 types of land cover and leaf area index - the most important feature of vegetation that significantly influences the simulation of hydrological variables provided by the spatially distributed satellite remote sensing data, this study would not only address the poor data availability over the RRB but also enhance the accuracy of model simulation. The simulation results generally indicated that the calibrated VIC model could satisfactorily capture the river flow dynamics of the Red River system in the RRB. The VIC model's underestimated river flow compared to the observed data during the dry season for the downstream stations was likely due to the operation of the large man-made reservoirs and dams in the upstream catchments of the RRB that not represented by the VIC model. The findings also suggested that for further improving the VIC model performance, the use of more spatially representative meteorological data provided by satellite remote sensing should be considered in future studies.","This study is part of the PEER project “Application of Geodetic, Satellite Remote Sensing and Physical Modeling Tools for Management of Operational Groundwater Resource in the Red River Delta, Vietnam” supported by USAID (Sponsor Grant Award Number: AID-OAA-A-11-00012). The authors would like to thank USAID for providing the financial support for this project. The authors also would like to thank the National Center for Hydro-Meteorological Forecasting, Vietnam; NASA, U.S. NCDC, USGS, and FAO for providing the data used in this study; and Dr. Faisal Hossain&#x27;s research group for their useful comments on the VIC model application.",,Journal of Environmental Management,,,"Hydrology; Models, Theoretical; Rivers; Vietnam; Water Resources",2018-04-05,2018,2018-04-05,2018-07,217,,346-355,All OA; Hybrid,Article,"Hiep, Nguyen Hoang; Luong, Nguyen Duc; Nga, Tran Thi Viet; Hieu, Bui Thi; Ha, Ung Thi Thuy; Du Duong, Bui; Long, Vu Duc; Hossain, Faisal; Lee, Hyongki","Hiep, Nguyen Hoang (Faculty of Environmental Engineering, National University of Civil Engineering (NUCE), 55 Giai Phong Road, Ha Noi, Viet Nam); Luong, Nguyen Duc (Faculty of Environmental Engineering, National University of Civil Engineering (NUCE), 55 Giai Phong Road, Ha Noi, Viet Nam); Nga, Tran Thi Viet (Faculty of Environmental Engineering, National University of Civil Engineering (NUCE), 55 Giai Phong Road, Ha Noi, Viet Nam); Hieu, Bui Thi (Faculty of Environmental Engineering, National University of Civil Engineering (NUCE), 55 Giai Phong Road, Ha Noi, Viet Nam); Ha, Ung Thi Thuy (Faculty of Environmental Engineering, National University of Civil Engineering (NUCE), 55 Giai Phong Road, Ha Noi, Viet Nam); Du Duong, Bui (National Center for Water Resources Planning and Investigation (NAWAPI), Ministry of Natural Resource and Environment (MONRE), 93/95 Vu Xuan Thieu Street, Ha Noi, Viet Nam); Long, Vu Duc (National Center for Hydro-Meteorological Forecasting (NCHMF), MONRE, 8 Phao Dai Lang Street, Ha Noi, Viet Nam); Hossain, Faisal (Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA); Lee, Hyongki (Department of Civil and Environmental Engineering, University of Houston, 4800 Calhoun Rd, Houston, TX 77004, USA)","Luong, Nguyen Duc (National University of Civil Engineering)","Hiep, Nguyen Hoang (National University of Civil Engineering); Luong, Nguyen Duc (National University of Civil Engineering); Nga, Tran Thi Viet (National University of Civil Engineering); Hieu, Bui Thi (National University of Civil Engineering); Ha, Ung Thi Thuy (National University of Civil Engineering); Du Duong, Bui (National Center for Water Resources Planning and Investigation (NAWAPI), Ministry of Natural Resource and Environment (MONRE), 93/95 Vu Xuan Thieu Street, Ha Noi, Viet Nam); Long, Vu Duc (National Center for Hydro-Meteorological Forecasting (NCHMF), MONRE, 8 Phao Dai Lang Street, Ha Noi, Viet Nam); Hossain, Faisal (University of Washington); Lee, Hyongki (University of Houston)",18,9,0.11,3.19,http://manuscript.elsevier.com/S0301479718303335/pdf/S0301479718303335.pdf,https://app.dimensions.ai/details/publication/pub.1103173901,37 Earth Sciences; 3707 Hydrology; 40 Engineering; 4013 Geomatic Engineering,15 Life on Land
4307,pub.1164171614,10.1016/j.envint.2023.108216,37738696,,Significant impacts of river inputs on the distributions and transports of mercury and methylmercury in nearshore and open seas – Simulation based on field surveys and mass balance modeling,"Rivers are important sources of Hg for adjacent seas, and seafood from nearshore waters is a major source of Hg exposure for humans. There is thus a key scientific concern regarding how much riverine Hg inputs influence Hg loads in nearshore waters as well as how far the impact range can extend from the river to the open sea. In addition, it is important to understand the influence of anthropogenic hydro-facilities and activities on Hg levels in downstream seas. Because of the concise mass exchange pattern between the seas and the previously demonstrated intensive Hg inputs under anthropogenic regulation from the Yellow River, the Bohai and Yellow Seas, which are key fishery and marine breeding areas for China, are an ideal research area for exploring the impacts of riverine Hg on nearshore and adjacent open seas. Field surveys were conducted in eight major rivers and two seas, and 433 water samples were collected. The main Hg input and output terms (rivers, ocean currents, underground discharge, sewage, coastal erosion, atmospheric deposition, surface evasion, sedimentation, and fisheries) were quantified in the Bohai and Yellow Seas. Owing to the high inputs from the Yellow and Yalu Rivers, elevated THg concentrations were found. Apart from direct MeHg discharge, riverine nutrients may also seemingly affect nearshore MeHg. Using mass balance models, we found that the Yellow River (9.8 t) was the dominant Hg source in the Bohai Sea, which accounted for more than half of all contributions, and the Bohai Sea played the role of a secondary source of Hg to the Yellow Sea, with a flux of 3.3 t. Anthropogenic hydro-activities in large rivers could significantly influence Hg outputs and loads in the nearshore and even open seas. This study provides useful information for water resource management applications to reduce potential MeHg risks.","Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgement This study was funded by the National Natural Science Foundation of China [No. 41821005, 41977311, 41977324, 42122059]. Data acquisition and sample collection were supported by NSFC Open Research Cruise [Cruise No. NORC2018-01 and 2019-01], funded by the Shiptime Sharing Project of NSFC. These cruises were conducted onboard R/V “DONGFANGHONG 2” by the Ocean University of China, R/V “Beidou” and “Lanhai 101” by Yellow Sea Fisheries Research Institute. We appreciate Prof. Huiwang Gao and his generous help with field surveys.",,Environment International,,,,2023-09-19,2023,2023-09-19,2023-10,180,,108216,All OA; Gold,Article,"Yu, Chenghao; Lin, Huiming; Guo, Junming; Peng, Mao; Liu, Maodian; Tong, Yindong; Lu, Yifan; Wang, Xuejun; Pan, Xiangliang","Yu, Chenghao (Ministry of Education Key Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China; Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China.); Lin, Huiming (Ministry of Education Key Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.); Guo, Junming (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, China.); Peng, Mao (Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China.); Liu, Maodian (Ministry of Education Key Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.); Tong, Yindong (School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; College of Ecology and Environment, Tibet University, Lhasa 850000, China.); Lu, Yifan (Zhejiang Construction Investment Environment Engineering Co., Ltd., Hangzhou 310014, China.); Wang, Xuejun (Ministry of Education Key Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. Electronic address: xjwang@urban.pku.edu.cn.); Pan, Xiangliang (Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou 310014, China. Electronic address: panxl@zjut.edu.cn.)","Wang, Xuejun (Peking University); Pan, Xiangliang (Zhejiang University of Technology)","Yu, Chenghao (Peking University; Zhejiang University of Technology); Lin, Huiming (Peking University); Guo, Junming (Northwest Institute of Eco-Environment and Resources); Peng, Mao (Zhejiang University of Technology); Liu, Maodian (Peking University); Tong, Yindong (Tianjin University; Tibet University); Lu, Yifan (Zhejiang Construction Investment Environment Engineering Co., Ltd., Hangzhou 310014, China.); Wang, Xuejun (Peking University); Pan, Xiangliang (Zhejiang University of Technology)",0,0,,,https://doi.org/10.1016/j.envint.2023.108216,https://app.dimensions.ai/details/publication/pub.1164171614,37 Earth Sciences; 3708 Oceanography; 41 Environmental Sciences; 4104 Environmental Management; 4105 Pollution and Contamination; 48 Law and Legal Studies,14 Life Below Water
4307,pub.1148694956,10.1016/j.scitotenv.2022.156725,35716756,,Patterns and driving forces of the agricultural water footprint of Chinese cities,"The patterns and determinants of different types of agricultural water footprints in China are poorly understood at the prefecture-city level. In this paper, we evaluate Chinese agricultural water footprints from 2000 to 2017 and analyzed their spatio-temporal characteristics. Our estimation results show that the annual average agricultural water footprint in China was 5.038 × 109 m3, and the proportions of green water, blue water, and gray water were 70%, 9%, and 21%, respectively. In addition, high agricultural water-footprint cities with obvious urban agglomeration effects are mainly located in the Northeast, the Huanghuai River, the Yangtze River Basin, and Northwestern of Xinjiang, while low agricultural water-footprint cities are concentrated in high coastal urbanization-level areas or less developed agricultural areas of the west. We also investigate their determinants using a spatio-temporal fixed-effect model and find that GDP per capita, total investment in fixed assets, the income level of rural residents, the proportion of food grown, spray and drip irrigation technology, low-pressure pipe irrigation technology and seepage control irrigation technology have significant positive impacts on the agricultural water footprint. In contrast, the proportion of secondary and tertiary industries, social retail consumption, urbanization, technology expenditure, and the effective irrigation area proportion have a significant inhibitory effect. The primary determinants of the agricultural water footprint also vary substantially across water footprint categories (green, blue, and gray water footprints) and regions. Our findings imply that the agricultural water footprint should be incorporated into city water resource management and monitoring system.",This work was supported by the National Social Science Foundation of China (21CGJ008). We would also like to express our gratitude to the editor and anonymous reviewers for their helpful and constructive comments on the manuscript.,,The Science of The Total Environment,,,Agriculture; China; Cities; Urbanization; Water; Water Resources,2022-06-15,2022,2022-06-15,2022-10,843,,156725,Closed,Article,"Cai, Jieping; Xie, Rui; Wang, Shaojian; Deng, Yuping; Sun, Dongqi","Cai, Jieping (School of Business, Central South University, Changsha 410000, China.); Xie, Rui (School of Economic and Trade, Hunan University, Changsha 410000, China.); Wang, Shaojian (Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China. Electronic address: 1987wangshaojian@163.com.); Deng, Yuping (School of Economic and Trade, Hunan University, Changsha 410000, China.); Sun, Dongqi (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. Electronic address: sundq@igsnrr.ac.cn.)","Wang, Shaojian (Sun Yat-sen University); Sun, Dongqi (Institute of Geographic Sciences and Natural Resources Research)","Cai, Jieping (Central South University); Xie, Rui (Hunan University); Wang, Shaojian (Sun Yat-sen University); Deng, Yuping (Hunan University); Sun, Dongqi (Institute of Geographic Sciences and Natural Resources Research)",13,13,0.39,12.2,,https://app.dimensions.ai/details/publication/pub.1148694956,37 Earth Sciences; 3704 Geoinformatics; 38 Economics; 3801 Applied Economics,12 Responsible Consumption and Production; 2 Zero Hunger
4304,pub.1150327358,10.1016/j.scitotenv.2022.158152,35988604,,Shallow Quaternary groundwater in the Lake Chad basin is resilient to climate change but requires sustainable management strategy: Results of isotopic investigation,"Within the Lake Chad Basin, the unconfined Quaternary aquifer offers permanent and easy access to water resources. This transboundary regional aquifer is shared by Chad, Niger, Nigeria and Cameroon and extends over ~500,000 km2. Climatic conditions and repeated droughts as well as the intensification of agriculture in the region have multiple negative impacts on the aquifer such as changes in groundwater level and its quality. Being a strategic water resource for the whole Chadian region, the groundwater potential of the Quaternary aquifer must be better characterized and understood to evaluate its resilience to climate change and anthropogenic impact. Stable isotopes and tritium of the water molecule were used to estimate water origin and residence time at the regional scale and to elucidate the interconnections between the different hydrological and hydrogeological components. Results show active recharge processes to the Quaternary aquifer as well as dynamic connections with surface waters (both river courses and wetlands) but also indicate less dynamic behavior of the Quaternary groundwater resource in some areas of the region. Based on the isotopic investigations, the Quaternary aquifer in the Chad basin was found to be resilient to climate change but its hydrogeological specificities (dependence to surface water from the upstream basins and transboundary nature of its structure) can make it prone to inadequate management strategies.",This work was supported by the International Atomic Energy Agency (IAEA) within the framework of the project RAF7011 and RAF7019. The authors thank the IAEA staff and others who are behind these projects for the collections and analysis of the samples. The authors also thank the University of Corsica (France) and the University of N&#x27;Djamena (Chad) for their support.,This work was supported by the Technical Cooperation of the IAEA under the projects RAF 7011 and RAF7019.,The Science of The Total Environment,,,Lakes; Climate Change; Tritium; Environmental Monitoring; Groundwater; Isotopes; Water,2022-08-18,2022,2022-08-18,2022-12,851,Pt 2,158152,All OA; Hybrid,Article,"Nour, A. Mahamat; Huneau, F.; Ali, A. Mahamat; Saleh, H. Mahamat; Boum-Nkot, S. Ngo; Nlend, B.; Djebebe-Ndjiguim, C.L.; Foto, E.; Sanoussi, R.; Araguas-Araguas, L.; Vystavna, Y.","Nour, A. Mahamat (Université de N'Djamena, Laboratoire Hydro-Géosciences et Réservoirs, Campus de Farcha, N'Djamena, Chad; Université de Corse Pascal Paoli, Département d'Hydrogéologie, Campus Grimaldi, BP52, 20250 Corte, France; CNRS, UMR 6134, SPE, BP52, 20250 Corte, France); Huneau, F. (Université de Corse Pascal Paoli, Département d'Hydrogéologie, Campus Grimaldi, BP52, 20250 Corte, France; CNRS, UMR 6134, SPE, BP52, 20250 Corte, France); Ali, A. Mahamat (Ministère de l'Hydraulique Urbaine et Rurale, Laboratoire National des Eaux, BP 1769, N'Djamena, Chad); Saleh, H. Mahamat (Ministère de l'Hydraulique Urbaine et Rurale, Laboratoire National des Eaux, BP 1769, N'Djamena, Chad); Boum-Nkot, S. Ngo (Université de Douala, Faculté des Sciences, P.O BOX 24157, Douala, Cameroon); Nlend, B. (Université de Douala, Faculté des Sciences, P.O BOX 24157, Douala, Cameroon); Djebebe-Ndjiguim, C.L. (Université de Bangui, Laboratoire Hydrosciences Lavoisier, BP 908, Avenue des Martyrs, Bangui, Central African Republic); Foto, E. (Université de Bangui, Laboratoire Hydrosciences Lavoisier, BP 908, Avenue des Martyrs, Bangui, Central African Republic); Sanoussi, R. (Ministère de l'Eau et de l'Assainissement, Direction de l'Hydrogéologie, Niamey, Niger); Araguas-Araguas, L. (International Atomic Energy Agency, Isotope Hydrology Section, Vienna International Centre, PO Box 100, 1400 Vienna, Austria); Vystavna, Y. (International Atomic Energy Agency, Isotope Hydrology Section, Vienna International Centre, PO Box 100, 1400 Vienna, Austria)","Huneau, F. (University of Corsica Pascal Paoli; CNRS, UMR 6134, SPE, BP52, 20250 Corte, France)","Nour, A. Mahamat (University of N'Djamena; University of Corsica Pascal Paoli; CNRS, UMR 6134, SPE, BP52, 20250 Corte, France); Huneau, F. (University of Corsica Pascal Paoli; CNRS, UMR 6134, SPE, BP52, 20250 Corte, France); Ali, A. Mahamat (Ministère de l'Hydraulique Urbaine et Rurale, Laboratoire National des Eaux, BP 1769, N'Djamena, Chad); Saleh, H. Mahamat (Ministère de l'Hydraulique Urbaine et Rurale, Laboratoire National des Eaux, BP 1769, N'Djamena, Chad); Boum-Nkot, S. Ngo (University of Douala); Nlend, B. (University of Douala); Djebebe-Ndjiguim, C.L. (University of Bangui); Foto, E. (University of Bangui); Sanoussi, R. (Ministère de l'Eau et de l'Assainissement, Direction de l'Hydrogéologie, Niamey, Niger); Araguas-Araguas, L. (International Atomic Energy Agency); Vystavna, Y. (International Atomic Energy Agency)",9,9,0.46,5.5,http://manuscript.elsevier.com/S0048969722052512/pdf/S0048969722052512.pdf,https://app.dimensions.ai/details/publication/pub.1150327358,37 Earth Sciences; 3705 Geology; 3707 Hydrology,13 Climate Action
4298,pub.1110010603,10.3390/ijerph15112582,30463192,PMC6266740,"Water Sustainability at the River Grande Basin, Brazil: An Approach Based on the Barometer of Sustainability","Water resources are fundamental for the social and economic development of a country and sustainability is the best approach to treat water-related problems. Therefore, sustainability studies of water resources are deemed urgent. Sustainability analysis methods should enable space-temporal monitoring, decision-making, and development of policies necessary for water governance. Furthermore, sustainability analysis methods should also integrate environment and socioeconomic variables into a single system. In this context, this study aimed to assess the water sustainability conditions of the River Grande Basin (BHRG), Brazil, before the implementation of the Integrated Water Resources Plan (IWRP), using the Barometer of Sustainability tool (BS). The River Grande basin was in an ""almost unsustainable"" condition and under high environmental stress. A significant imbalance between environmental and human well-being in the system was also observed. To achieve an acceptable sustainability condition, it is thus necessary to improve the environmental quality of the area. Among the priority thematic area, native vegetation recovery was the most urgent. Overall, the sustainability study based on the BS not only facilitates comprehension regarding environment and human interrelationships, but also provide references for policy formulations and water management.","The authors would like to thank Haron Bregolato Freiri for support in the form of the Barometer of Sustainability graphs, Gabriela Pires Maltos for reading the manuscript, and Rachel Ann Hauser Davis for copyedit the manuscript.","This research was funded by Conselho Nacional de Desenvolvimento Científico E Tecnológico, grant number 14125/2015-0.",International Journal of Environmental Research and Public Health,,,Brazil; Conservation of Water Resources; Environmental Monitoring; Environmental Policy; Rivers; Water Pollution; Water Quality; Water Supply,2018-11-01,2018,2018-11-19,2018-11-01,15,11,2582,All OA; Gold,Article,"Guidolini, Janaína Ferreira; Giarolla, Angélica; Toledo, Peter Mann; Valera, Carlos Alberto; Ometto, Jean Pierre Henry Balbaud","Guidolini, Janaína Ferreira (National Institute for Space Research (INPE), Earth System Science Center, São José dos Campos 12227010, SP, Brazil;, angelica.giarolla@inpe.br, (A.G);, peter.toledo@inpe.br, (P.M.T);, jean.ometto@inpe.br, (J.P.H.B.O)); Giarolla, Angélica (National Institute for Space Research (INPE), Earth System Science Center, São José dos Campos 12227010, SP, Brazil;, angelica.giarolla@inpe.br, (A.G);, peter.toledo@inpe.br, (P.M.T);, jean.ometto@inpe.br, (J.P.H.B.O)); Toledo, Peter Mann (National Institute for Space Research (INPE), Earth System Science Center, São José dos Campos 12227010, SP, Brazil;, angelica.giarolla@inpe.br, (A.G);, peter.toledo@inpe.br, (P.M.T);, jean.ometto@inpe.br, (J.P.H.B.O)); Valera, Carlos Alberto (Public Ministry of the State of Minas Gerais, Uberaba 38010140, MG, Brazil;, carlosvalera@mpmg.mp.br); Ometto, Jean Pierre Henry Balbaud (National Institute for Space Research (INPE), Earth System Science Center, São José dos Campos 12227010, SP, Brazil;, angelica.giarolla@inpe.br, (A.G);, peter.toledo@inpe.br, (P.M.T);, jean.ometto@inpe.br, (J.P.H.B.O))","Guidolini, Janaína Ferreira (National Institute for Space Research)","Guidolini, Janaína Ferreira (National Institute for Space Research); Giarolla, Angélica (National Institute for Space Research); Toledo, Peter Mann (National Institute for Space Research); Valera, Carlos Alberto (Public Ministry of the State of Minas Gerais, Uberaba 38010140, MG, Brazil;, carlosvalera@mpmg.mp.br); Ometto, Jean Pierre Henry Balbaud (National Institute for Space Research)",10,5,0.08,1.51,https://www.mdpi.com/1660-4601/15/11/2582/pdf?version=1542612659,https://app.dimensions.ai/details/publication/pub.1110010603,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4296,pub.1145886258,10.1098/rsta.2021.0134,35220770,PMC8883165,Stress-testing development pathways under a changing climate: water-energy-food security in the lake Malawi-Shire river system,"Malawi depends on Lake Malawi outflows into the Shire River for its water, energy and food (WEF) security. We explore future WEF security risks under the combined impacts of climate change and ambitious development pathways for water use expansion. We drive a bespoke water resources model developed with stakeholder inputs, with 29 bias-corrected climate model projections, alongside stakeholder elicited development pathways, and examine impacts on stakeholder-elicited WEF sector performance metrics. Using scenario analysis, we stress-test the system, explore uncertainties, assess trade-offs between satisfying WEF metrics, and explore whether planned regulation of outflows could help satisfy metrics. While uncertainty from potential future rainfall change generates a wide range of outcomes (including no lake outflow and higher frequency of major downstream floods), we find that potential irrigation expansion in the Lake Malawi catchments could enhance the risk of very low lake levels and risk to Shire River hydropower and irrigation infrastructure performance. Improved regulation of lake outflows through the upgraded barrage does offer some risk mitigation, but trade-offs emerge between lake level management and downstream WEF sector requirements. These results highlight the need to balance Malawi's socio-economic development ambitions across sectors and within a lake-river system, alongside enhanced climate resilience. This article is part of the theme issue 'Developing resilient energy systems'.","This work was carried out under the Future Climate for Africa UMFULA project, with financial support from the UK Natural Environment Research Council (NERC), grant ref: NE/M020398/1, and the UK Government&#x27;s Department for International Development (DfID). D.C., A.D. and S.D. acknowledge support from the UK Economic and Social Research Council (ES/R009708/1) through the Centre for Climate Change Economics and Policy. D.C. acknowledges support from the UK Research and Innovation&#x27;s Global Challenges Research Fund (UKRI GCRF Development Corridors Partnership) and the Grantham Foundation for the Protection of the Environment. We thank the stakeholders who took time out from their busy schedules to attend the workshops, engage in discussions, provide valuable inputs for the analytical framework, and contribute to the development of the model.",We received no funding for this study.,Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences,,,Climate Change; Food Security; Lakes; Malawi; Water,2022-02-28,2022,2022-02-28,2022-04-18,380,2221,20210134,All OA; Hybrid,Article,"Bhave, Ajay G.; Conway, Declan; Dessai, Suraje; Dougill, Andrew J.; Mkwambisi, David","Bhave, Ajay G. (School of Engineering, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK; School of Earth and Environment, Sustainability Research Institute, University of Leeds, Leeds LS2 9JT, UK); Conway, Declan (Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, London WC2A 2AE, UK); Dessai, Suraje (School of Earth and Environment, Sustainability Research Institute, University of Leeds, Leeds LS2 9JT, UK); Dougill, Andrew J. (School of Earth and Environment, Sustainability Research Institute, University of Leeds, Leeds LS2 9JT, UK); Mkwambisi, David (Malawi University of Science and Technology, PO Box 5196, Limbe, Malawi)","Bhave, Ajay G. (Newcastle University; University of Leeds)","Bhave, Ajay G. (Newcastle University; University of Leeds); Conway, Declan (London School of Economics and Political Science); Dessai, Suraje (University of Leeds); Dougill, Andrew J. (University of Leeds); Mkwambisi, David (Malawi University of Science and Technology)",7,7,0.83,3.74,https://doi.org/10.1098/rsta.2021.0134,https://app.dimensions.ai/details/publication/pub.1145886258,37 Earth Sciences; 3707 Hydrology,13 Climate Action; 7 Affordable and Clean Energy
4293,pub.1151739272,10.1007/s11356-022-23513-8,36215019,,Development of water quality index as a tool for urban water resources management,"Abstract
Urban stream monitoring programs rarely consider the daily cycle of water quality. Furthermore, water quality indexes (WQIs) often rely on an excessive number of correlated parameters. To the best of our knowledge, no previous study used both the principal component analysis (PCA) and the daily cycle of the water quality of urban streams to create better WQIs. In this context, the present study aimed to develop a novel urban WQI (WQIurban) considering these two factors. Moreover, the main WQI in Brazil for water quality assessment for public supply (WQIcetesb) was used as a starting point (parameters: total solids (TS), temperature, turbidity, biochemical oxygen demand, pH, dissolved oxygen (DO), total nitrogen, total phosphorus, and thermotolerant coliforms (Escherichia coli)). The selected parameters to integrate the WQIurban received weights according to their importance for the conformation of water quality and a quality value was assigned to each parameter as a function of its concentration or measure. The developed WQIurban (parameters: pH, TS, E. coli, and DO) was able to maintain the seasonal and daily patterns of the urban stream water quality compared to the WQIcetesb. Nevertheless, the spatial relationship among the sampling sites was somewhat lacking. Our findings can help environmental managers, policy planners, and local researchers to improve their urban stream monitoring programs, saving money, time, and resources. Moreover, the WQIurban can be helpful during exceptional circumstances in which the water quality of urban streams must be quickly assessed.",,The authors gratefully acknowledge the research funding agency CAPES for the scholarship granted to the post-graduate student participating in the study.,Environmental Science and Pollution Research,,,"Water Quality; Environmental Monitoring; Water Resources; Escherichia coli; Rivers; Oxygen; Water Pollutants, Chemical",2022-10-10,2022,2022-10-10,2023-02,30,7,18588-18600,Closed,Article,"Bega, João Miguel Merces; Albertin, Liliane Lazzari; de Oliveira, Jefferson Nascimento","Bega, João Miguel Merces (São Carlos School of Engineering, University of São Paulo, 13566-590, São Carlos, Brazil); Albertin, Liliane Lazzari (Ilha Solteira School of Engineering, São Paulo State University, 153850-000, Ilha Solteira, Brazil); de Oliveira, Jefferson Nascimento (Ilha Solteira School of Engineering, São Paulo State University, 153850-000, Ilha Solteira, Brazil)","Bega, João Miguel Merces (Universidade de São Paulo)","Bega, João Miguel Merces (Universidade de São Paulo); Albertin, Liliane Lazzari (São Paulo State University); de Oliveira, Jefferson Nascimento (São Paulo State University)",3,3,,1.41,,https://app.dimensions.ai/details/publication/pub.1151739272,40 Engineering; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4293,pub.1144549183,10.1016/j.scitotenv.2022.152969,35026261,,Divergent change patterns observed in hydrological fluxes entering China's two largest lakes,"Large lakes are key components of hydrological processes and have critical ecological and economic functions. Streamflow and riverine sediment loads exported from tributary rivers to lakes provide inputs of water and nutrients and greatly impact the health of lacustrine ecosystems. Understanding the spatiotemporal patterns of water and sediment transport dynamics within the basins of large lakes is therefore required for informed management of their resources. In particular, the hydrological processes of large lake basins in western China were not fully explored yet. This study investigated changes in runoff and sediment fluxes entering the two largest lakes in China (Qinghai Lake and Poyang Lake) over the past half century. Our results showed that the regional trends of the two lake basins have changed in divergent way. The patterns of change of streamflow and sediment transport-including the trends, periodicity, and transition points as well as the relationship between streamflow and sediment flux-were quite different. The results obtained by a Sediment Identity method revealed that increases of the precipitation and runoff coefficient controlled the observed increase of streamflow and sediment flux within the Qinghai Lake basin, whereas the decrease of the sediment flux entering Poyang Lake was caused mainly by a reduction in sediment concentration. Climate change was the dominant driver influencing the recent increases in surface water resources and sediment load in the Qinghai Lake basin as well as the long-term fluctuations of streamflow within the Poyang Lake basin. In contrast, the observed abrupt reduction in total sediment flux entering Poyang Lake was due mainly to declining sediment discharge from the Gan River; this decrease is attributed primarily to human activities, especially reservoir construction and soil conservation practices. Overall, this study discovers the divergent change patterns when investigating hydrological processes, and highlights the importance of developing policies for managing soil and water resources within large lake basins to the northwest and southeast of the Hu Line. Management policies should consider the tremendous differences in geography, climate, and population across China.","This study was supported by National Natural Science Foundation of China (No. 42101303), and the Scientific Research Fund of Jiangxi University of Science and Technology (NO. 205200100503).",,The Science of The Total Environment,,,China; Ecosystem; Environmental Monitoring; Hydrology; Lakes; Rivers,2022-01-10,2022,2022-01-10,2022-04,817,,152969,Closed,Article,"Li, Tong; Liao, Qiang; Wang, Shuai; Fu, Bojie","Li, Tong (School of Civil and Surveying Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China.); Liao, Qiang (School of Civil and Surveying Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China.); Wang, Shuai (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China. Electronic address: shuaiwang@bnu.edu.cn.); Fu, Bojie (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.)","Wang, Shuai (Beijing Normal University)","Li, Tong (Jiangxi University of Science and Technology); Liao, Qiang (Jiangxi University of Science and Technology); Wang, Shuai (Beijing Normal University); Fu, Bojie (Beijing Normal University)",3,3,,1.44,,https://app.dimensions.ai/details/publication/pub.1144549183,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,
4291,pub.1147049957,10.1038/s41598-022-10254-4,35418610,PMC9008018,"Assessment of natural groundwater reserve of a morphodynamic system using an information-based model in a part of Ganga basin, Northern India","Assessment of morphodynamic groundwater reserves is important for the sustainable management of water resources. It is a truth that groundwater resource evaluation is anxious with the ambiguity of its several factors and employing methods. Thus, an information-based model has been hypothesized to assess natural groundwater reserves in a morphodynamic system in a part of the Ganga basin of Northern India, where the spatial variability in natural groundwater reserve exists. Marginal information of rainfall data, and transinformation among the rainfall, and monthly depth to groundwater level measurement at 50 wells in a dense monitoring network were used for evaluating natural groundwater reserve. The results indicate that an average recharge rate is about 246 mm/monsoon and or 32.65% of the seasonal rainfall, and its values are well-correlated with the soil infiltration rate. It has been found that the estimated recharge rates are about 54.08, 45.85, 33.77, 32.48, and 32.14% of the seasonal rainfall in an active flood plain, back swamp, natural levees, flood plain, and palaeochannel, respectively. The calculated annual rainfall input to groundwater reserve is found about 127.98 MCM/monsoon rainfall, which could be employed for sustainable management of groundwater resources in the morphodynamic system of the Ganga river basin.","Prof. V.M. Tiwari, Director of CSIR-National Geophysical Research Institute, Hyderabad, has encouraged and permitted to publish this article (Ref. No: NGRI/Lib/2021/Pub-18). The DST-NGP (GoI), New Delhi (Ref. No.:NRDMS/GRACE/8342/NC Mondal/2020(G), January 21, 2021) has funded this research work. Central Ground Water Board (CGWB), Ministry of Jal Shakti, Department of Water Resources, River Development and Ganga Rejuvenation (GoI) has generated the hydrogeological data. Authors are thankful to them.",,Scientific Reports,,,Environmental Monitoring; Floods; Groundwater; India; Rivers; Water Wells,2022-04-13,2022,2022-04-13,,12,1,6191,All OA; Gold,Article,"Mondal, N. C.; Ajaykumar, V.","Mondal, N. C. (Earth Process Modeling Group, CSIR-National Geophysical Research Institute, 500 007, Hyderabad, India; Academy of Scientific and Innovative Research (AcSIR), 201 002, Ghaziabad, India); Ajaykumar, V. (Earth Process Modeling Group, CSIR-National Geophysical Research Institute, 500 007, Hyderabad, India; Academy of Scientific and Innovative Research (AcSIR), 201 002, Ghaziabad, India)","Mondal, N. C. (National Geophysical Research Institute; Academy of Scientific and Innovative Research)","Mondal, N. C. (National Geophysical Research Institute; Academy of Scientific and Innovative Research); Ajaykumar, V. (National Geophysical Research Institute; Academy of Scientific and Innovative Research)",5,5,,2.71,https://www.nature.com/articles/s41598-022-10254-4.pdf,https://app.dimensions.ai/details/publication/pub.1147049957,37 Earth Sciences; 3701 Atmospheric Sciences; 3705 Geology; 3707 Hydrology,
4289,pub.1121579181,10.3390/ijerph16193774,31597264,PMC6801438,Water Environmental Capacity Calculation and Allocation of the Taihu Lake Basin in Jiangsu Province Based on Control Unit,"The water quality target management of the control unit is a convenient and direct technology for water environment management and the development direction of water environment management in China, involving control unit division and water environment capacity calculation. Taking the Taihu Lake Basin in Jiangsu Province as an example, we propose herein the basic principle of the division of a regional control unit in a plain river network and the method of analyzing the rationality of the control unit division. On this basis, the Taihu Lake Basin in Jiangsu Province was divided into 70 control units. To calculate the water environmental capacity in the plain river network area, we established a water environmental capacity calculation framework based on multiple targets of lakes and rivers, and proposed the goal of water quality ""double compliance"" of the water environmental functional zone and the assessment section. For this study, we calculated the regional water environmental capacity using the mathematical model of the Taihu Lake Basin's water environmental capacity, and the water environmental capacities of the 70 control units were allocated by the weight coefficient method, which established water area and functional division length. The research results described herein were applied to the pollution permit management of the Taihu Lake Basin in Jiangsu Province. It provides important technical support for the establishment of a pollution permit system based on the total capacity to improve environmental quality.",This paper was funded by the National Water Pollution Control and Treatment Science and Technology Major Project (Grant No. 2012ZX07506-002).,This research was funded by the National Water Pollution Control and Treatment Science and Technology Major Project (Grant No. 2012ZX07506-002).,International Journal of Environmental Research and Public Health,,,"China; Conservation of Natural Resources; Environmental Monitoring; Lakes; Models, Theoretical; Resource Allocation; Rivers; Water Quality",2019-10-01,2019,2019-10-08,2019-10-01,16,19,3774,All OA; Gold,Article,"Huang, Juan; Pang, Yong; Zhang, Xiaoqiang; Tong, Yifan","Huang, Juan (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, Jiangsu, China; Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, Jiangsu, China;, dr.xqzhang@gmail.com, (X.Z.);, tong57@purdue.edu, (Y.T.); Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing 210036, Jiangsu, China); Pang, Yong (College of Environment, Hohai University, Nanjing 210098, Jiangsu, China;, ypang@hhu.edu.cn); Zhang, Xiaoqiang (Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, Jiangsu, China;, dr.xqzhang@gmail.com, (X.Z.);, tong57@purdue.edu, (Y.T.); Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing 210036, Jiangsu, China); Tong, Yifan (Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, Jiangsu, China;, dr.xqzhang@gmail.com, (X.Z.);, tong57@purdue.edu, (Y.T.); Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing 210036, Jiangsu, China)","Huang, Juan (Hohai University; Jiangsu Provincial Academy of Environmental Science; Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing 210036, Jiangsu, China)","Huang, Juan (Hohai University; Jiangsu Provincial Academy of Environmental Science; Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing 210036, Jiangsu, China); Pang, Yong (Hohai University); Zhang, Xiaoqiang (Jiangsu Provincial Academy of Environmental Science; Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing 210036, Jiangsu, China); Tong, Yifan (Jiangsu Provincial Academy of Environmental Science; Jiangsu Province Key Laboratory of Environmental Engineering, Nanjing 210036, Jiangsu, China)",19,11,0.81,7.0,https://www.mdpi.com/1660-4601/16/19/3774/pdf?version=1570619517,https://app.dimensions.ai/details/publication/pub.1121579181,37 Earth Sciences; 3704 Geoinformatics,6 Clean Water and Sanitation
4286,pub.1168051076,10.1016/j.envres.2024.118267,38244969,,Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management,"In recent years, the utilization of wastewater recycling as an alternative water source has gained significant traction in addressing urban water shortages. Accurate prediction of wastewater quantity is paramount for effective urban river water resource management. There is an urgent need to develop advanced forecasting technologies to further enhance the accuracy and efficiency of water quantity predictions. Decomposition ensemble models have shown excellent predictive capabilities but are challenged by boundary effects when decomposing the original data sequence. To address this, a rolling forecast decomposition ensemble scheme was developed. It involves using a machine learning (ML) model for prediction and progressively integrating prediction outcomes into the original sequence using complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN). Long short-term memory (LSTM) is then applied for sub-signal prediction and ensemble. The ML-CEEMDAN-LSTM model was introduced for wastewater quantity prediction, compared with non-decomposed ML models, CEEMDAN-based LSTM models, and ML-CEEMDAN-based LSTM models. Three ML algorithms-linear regression (LR), gradient boosting regression (GBR), and LSTM-were examined, using real-time prediction data and historical monitoring data, with historical data selected using the decision tree method. The study used daily water volumes data from two reclaimed water plants, CH and WQ, in Beijing. The results indicate that (1) ML models varied in their selection of real-time factors, with LR performing best among ML models during testing; (2) the ML-CEEMDAN-LSTM model consistently outperformed ML models; (3) the ML-CEEMDAN-LSTM hybrid model performed better than the CEEMDAN-LSTM model across different seasons. This study offers a reliable and accurate approach for reclaimed water volumes forecasting, critical for effective water environment management.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work was supported by the National Natural Science Foundation of China (72003016, 72091511, 71725005); National Natural Science Foundation of China (U2243232); Beijing Outstanding Scientist Program (BJJWZYJH01201910027031); Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL2022ZD03); China Energy Engineering Corporation Science and Technology Project (DJ-HXGG-2022-01); and the National Natural Science Foundation of China (No. 52009005).",,Environmental Research,,,,2024-01-18,2024,2024-01-18,2024-05,248,,118267,Closed,Article,"Zhang, Lina; Wang, Chao; Hu, Wenbin; Wang, Xu; Wang, Hao; Sun, Xiangyu; Ren, Wenhao; Feng, Yu","Zhang, Lina (School of Resources and Civil Engineering, Northeastern University, Liaoning, 110819, China.); Wang, Chao (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China. Electronic address: wangchao@iwhr.com.); Hu, Wenbin (Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.); Wang, Xu (China Renewable Energy Engineering Institute, Beijing, 100120, China.); Wang, Hao (School of Resources and Civil Engineering, Northeastern University, Liaoning, 110819, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.); Sun, Xiangyu (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Jiangsu, 212013, China.); Ren, Wenhao (Beijing Water Resources Dispatching and Management Affairs Center, Beijing, 100097, China.); Feng, Yu (Changjiang Water Resources Commission, Changjiang River Scientific Research Institute, Wuhan, 430010, China.)","Wang, Chao (China Institute of Water Resources and Hydropower Research)","Zhang, Lina (Northeastern University); Wang, Chao (China Institute of Water Resources and Hydropower Research); Hu, Wenbin (Huazhong University of Science and Technology); Wang, Xu (China Renewable Energy Engineering Institute); Wang, Hao (Northeastern University; China Institute of Water Resources and Hydropower Research); Sun, Xiangyu (Jiangsu University); Ren, Wenhao (Beijing Water Resources Dispatching and Management Affairs Center, Beijing, 100097, China.); Feng, Yu (Changjiang Water Resources Commission)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168051076,31 Biological Sciences; 34 Chemical Sciences; 41 Environmental Sciences,6 Clean Water and Sanitation
4275,pub.1132789456,10.1016/j.scitotenv.2020.143668,33261882,,Scenario analysis for the sustainable development of agricultural water in the Wuyuer River basin based on the WEP model with a reservoir and diversion engineering module,"Agricultural water use is increasing quickly with the rapid socioeconomic development observed in the Wuyuer River basin. Water withdrawal for agriculture over the past decade have seriously depleted the ecological water requirements in the basin and damaged the channel and downstream wetland ecosystems. Achieving sustainable development in the basin will require a balance between agricultural water exploitation and ecological water demands. In this paper, a reservoir and diversion engineering module was integrated with a dualistic distributed hydrological model (WEP model) to investigate the effects of agricultural water use on river discharge. Agricultural water shortages and yearly minimum river discharges between 2020 and 2050 under six agricultural water exploitation scenarios and one natural scenario were estimated based on the proposed model. The results showed that the dualistic hydrological process model was more suitable for basins with agricultural water resource exploitation and that the river discharge was significantly less than the natural discharge due to irrigation and reservoir filling, especially in drought years. Under the scenarios of high, middle and low water resource exploitation without ecological operations, agricultural development was unsustainable because of agricultural water shortages and ecological water scarcity. The evaluation of the guaranteed rates for the agricultural water supply and environmental flows showed that the low water resource exploitation scenario with ecological operations was the best option and that sustainable development could be achieved in the basin under this exploitation scenario in the future. However, implementing water management practices in the basin could result in certain economic losses. These losses could be offset by ecological protection funds for downstream wetlands. Overall, the model results could help to inform planning and investment decisions within the basin to improve the sustainable management of water resources.","This study was jointly supported by the National Key Research Program of China (No. 2017YFC0404503, 2016YFC0401302), National Natural Science Foundation of China (No. 51625904, 42001040), and Basic Scientific Research Expense Project of the China Institute of Water Resources and Hydropower Research (No. WR0145B522017).",,The Science of The Total Environment,,,,2020-11-21,2020,2020-11-21,2021-03,758,,143668,Closed,Article,"Wang, Weize; Hu, Peng; Wang, Jianhua; Zhao, Jianshi; Liu, Huan; Yang, Zefan","Wang, Weize (Department of Hydraulic Engineering, Tsinghua University, Beijing 100086, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Hu, Peng (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. Electronic address: hup@iwhr.com.); Wang, Jianhua (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Zhao, Jianshi (Department of Hydraulic Engineering, Tsinghua University, Beijing 100086, China.); Liu, Huan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Yang, Zefan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.)","Hu, Peng (China Institute of Water Resources and Hydropower Research)","Wang, Weize (Tsinghua University; China Institute of Water Resources and Hydropower Research); Hu, Peng (China Institute of Water Resources and Hydropower Research); Wang, Jianhua (China Institute of Water Resources and Hydropower Research); Zhao, Jianshi (Tsinghua University); Liu, Huan (China Institute of Water Resources and Hydropower Research); Yang, Zefan (China Institute of Water Resources and Hydropower Research)",11,7,,3.23,,https://app.dimensions.ai/details/publication/pub.1132789456,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology,2 Zero Hunger; 6 Clean Water and Sanitation
4275,pub.1046629883,10.1007/s00267-016-0712-4,27272165,,Management Options During the 2011–2012 Drought on the Apalachicola River: A Systems Dynamic Model Evaluation,"The Apalachicola-Chattahoochee-Flint River basin (ACF) is a large watershed in the southeastern United States. In 2012, the basin experienced the second year of a severe drought and the third multi-year drought in the last 15 years. During severe droughts, low reservoir and river levels can cause economic and ecological impacts to the reservoir, river, and estuarine ecosystems. During drought, augmenting Apalachicola River discharge through upstream reservoir releases and demand management are intuitive and often-suggested solutions to minimizing downstream effects. We assessed whether the existing reservoir system could be operated to minimize drought impacts on downstream water users and ecosystems through flow augmentation. Our analysis finds that in extreme drought such as observed during 2012, increases in water releases from reservoir storage are insufficient to even increase Apalachicola River discharge to levels observed in the 2007 drought. This suggests that there is simply not enough water available in managed storage to offset extreme drought events. Because drought frequency and intensity is predicted to increase under a variety of climate forecasts, our results demonstrate the need for a critical assessment of how water managers will meet increasing water demands in the ACF. Key uncertainties that should be addressed include (1) identifying the factors that led to extremely low Flint River discharge in 2012, and (2) determining how water “saved” via demand management is allocated to storage or passed to downstream ecosystem needs as part of the ongoing revisions to the ACF Water Control Manual by the US Army Corps of Engineers.","This manuscript was completed with funding support from the Institute of Food and Agricultural Sciences at the University of Florida. We thank G. Denker for the artwork used in Fig. 1, and R. Denker, S. Marynowski, and D. Zimmerman for editorial assistance.",,Environmental Management,,,"Climate; Droughts; Ecosystem; Models, Theoretical; Rivers; Southeastern United States; Water Resources; Water Supply",2016-06-07,2016,2016-06-07,2016-08,58,2,193-207,Closed,Article,"Leitman, S.; Pine, W. E.; Kiker, G.","Leitman, S. (School of Agriculture, Engineering and Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa; Water Without Borders, 552 E. Georgia St, 32303, Tallahassee, FL, USA); Pine, W. E. (Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, USA); Kiker, G. (Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa)","Leitman, S. (University of KwaZulu-Natal; Water Without Borders, 552 E. Georgia St, 32303, Tallahassee, FL, USA)","Leitman, S. (University of KwaZulu-Natal; Water Without Borders, 552 E. Georgia St, 32303, Tallahassee, FL, USA); Pine, W. E. (University of Florida); Kiker, G. (University of Florida; University of KwaZulu-Natal)",17,7,,2.05,,https://app.dimensions.ai/details/publication/pub.1046629883,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4274,pub.1145663868,10.1007/s10661-022-09800-4,35178617,,"Investigating the sources and dynamics of naturally occurring radioactive material (NORM) in the Red Deer River, Alberta, Canada","Distinguishing between natural and anthropogenic controls on the proportions of naturally occurring radioactive materials (NORMs) in the environment is important for water resource management. In this study, the dynamics of uranium (U) and thorium (Th), two of the most prominent NORM elements, were investigated in the Red Deer River basin using monitoring data collected from 2015 to 2018. More than twofold increases in median proportions of total U (from 0.73 to 1.53 µg/L) and Th (from 0.008 to 0.104 µg/L) were observed for sites located downstream of the Steveville badlands, an area of highly erodible bedrock that a ~ 300 km section of the river flows through. Input is highly variable, coinciding mainly with increases in total suspended solids during intense rainstorms in the late summer. In-depth examination of monitoring data through factor analysis, multiple linear regression, mass balance calculations, and land use analysis highlights the importance of erosion and subsequent particle transport along river banks in the badlands area on the distribution of total U and Th, while also revealing that groundwater-surface water interaction affects proportions of dissolved U throughout the river. No significant influence from industry or land use on U and Th export was found, and proportions of U and Th in water and suspended sediment are within the natural ranges expected for surface waters and sediments/soils. Methodology employed in this study provides a basic framework for analysis of environmental monitoring datasets, which can be employed in the absence of radiochemical data to study the fate, transport, and sources of NORMs.","We would like to thank the friendly staff at Alberta Environment and Parks (AEP), in particular, Dr. Cynthia McClain and Chris Rickard, for sharing the dataset used to complete this study. Finally, we would like to thank Matthew Bond for reviewing the manuscript.",This work was funded by Atomic Energy of Canada Limited’s Federal Nuclear Science & Technology Work Plan under work package FST-51420.50.19.04.,Environmental Monitoring and Assessment,,,Alberta; Animals; Deer; Environmental Monitoring; Geologic Sediments; Rivers; Thorium; Uranium,2022-02-17,2022,2022-02-17,2022-03,194,3,198,Closed,Article,"Lemieux, Alexander; Kromrey, Natalie; Brinkmann, Lars","Lemieux, Alexander (Environment and Waste Technologies Branch, Canadian Nuclear Laboratories, 286 Plant Road, Chalk River, K0J 1J0, Ottawa, ON, Canada; Health Sciences and Environmental Compliance Division, Canadian Nuclear Safety Commission, 280 Slater Street, K1P 5S9, Ottawa, ON, Canada); Kromrey, Natalie (Air and Watershed Stewardship Branch, Alberta Environment and Parks, 2938 11 St. NE, T2E 7L7, Calgary, AB, Canada); Brinkmann, Lars (Environment and Waste Technologies Branch, Canadian Nuclear Laboratories, 286 Plant Road, Chalk River, K0J 1J0, Ottawa, ON, Canada)","Lemieux, Alexander (Canadian Nuclear Laboratories; Canadian Nuclear Safety Commission)","Lemieux, Alexander (Canadian Nuclear Laboratories; Canadian Nuclear Safety Commission); Kromrey, Natalie (Alberta Environment and Protected Areas); Brinkmann, Lars (Canadian Nuclear Laboratories)",2,2,,1.07,,https://app.dimensions.ai/details/publication/pub.1145663868,37 Earth Sciences; 3707 Hydrology,15 Life on Land
4274,pub.1157519668,10.1007/s11033-023-08402-8,37099233,,Genetic diversity and population structure of wild Macrobrachium nipponense populations across China: Implication for population management,"BackgroundMacrobrachium nipponense, is an important economic indigenous prawn and is widely distributed in China. However, most these genetic structure analysis researches were focused on a certain water area, systematic comparative studies on genetic structure of M. nipponense across China are not yet available.Methods and resultsIn this study, D-loop region sequences was used to investigate the genetic diversity and population structure of 22 wild populations of M. nipponense through China, containing the major rivers and lakes of China. Totally 473 valid D-loop sequences with a length of 1110 bp were obtained, and 348 variation sites and 221 haplotypes were detected. The haplotype diversity (h) was ranged from 0.1630 (Bayannur) ~ 1.0000 (Amur River) and the nucleotide diversity π value ranged from 0.001164 (Min River) ~ 0.037168 (Nen River). The pairwise genetic differentiation index (FST) ranged from 0.00344 to 0.91243 and most pair-wised FST was significant (P < 0.05). The lowest FST was displayed in Min River and Jialing River populations and the highest was between Nandu River and Nen River populations. The phylogenetic tree of genetic distance showed that all populations were divided into two branches. The Dianchi Lake, Nandu River, Jialing River and Min River populations were clustered into one branch. The neutral test and mismatch distribution results showed that M. nipponense populations were not experienced expanding and kept a steady increase.ConclusionsTaken together, a joint resources protection and management strategy for M. nipponense have been suggested based on the results of this study for its sustainable use.",,This research was supported by grants from Central Public-interest Scientific Institution Basal Research Fund CAFS (2020TD36); Jiangsu Agricultural Industry Technology System; the National Key R&D Program of China (2018YFD0901303); the earmarked fund for CARS-48; the New cultivar breeding Major Project of Jiangsu province (PZCZ201745). The seed industry revitalization project of Jiangsu province (JBGS [2021] 118). Thanks for the Jiangsu Province Platform for the Conservation and Utilization of Agricultural Germplasm.,Molecular Biology Reports,,,Animals; Genetic Variation; Phylogeny; Palaemonidae; China; Rivers,2023-04-26,2023,2023-04-26,2023-06,50,6,5069-5080,All OA; Green,Article,"Jiang, Sufei; Xiong, Yiwei; Zhang, Lijuan; Zhang, Wenyi; Zheng, Yalu; Wang, Jisheng; Jin, Shubo; Gong, Yongsheng; Wu, Yan; Qiao, Hui; Fu, Hongtuo","Jiang, Sufei (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China); Xiong, Yiwei (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China); Zhang, Lijuan (Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, Jiangsu, People’s Republic of China); Zhang, Wenyi (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China); Zheng, Yalu (Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, Jiangsu, People’s Republic of China); Wang, Jisheng (Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, Jiangsu, People’s Republic of China); Jin, Shubo (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China); Gong, Yongsheng (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China); Wu, Yan (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China); Qiao, Hui (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China; Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, Jiangsu, People’s Republic of China); Fu, Hongtuo (Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture and Rural Affairs, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, Jiangsu, People’s Republic of China; Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, Jiangsu, People’s Republic of China)","Qiao, Hui (Chinese Academy of Fishery Sciences; Nanjing Agricultural University); Fu, Hongtuo (Chinese Academy of Fishery Sciences; Nanjing Agricultural University)","Jiang, Sufei (Chinese Academy of Fishery Sciences); Xiong, Yiwei (Chinese Academy of Fishery Sciences); Zhang, Lijuan (Nanjing Agricultural University); Zhang, Wenyi (Chinese Academy of Fishery Sciences); Zheng, Yalu (Nanjing Agricultural University); Wang, Jisheng (Nanjing Agricultural University); Jin, Shubo (Chinese Academy of Fishery Sciences); Gong, Yongsheng (Chinese Academy of Fishery Sciences); Wu, Yan (Chinese Academy of Fishery Sciences); Qiao, Hui (Chinese Academy of Fishery Sciences; Nanjing Agricultural University); Fu, Hongtuo (Chinese Academy of Fishery Sciences; Nanjing Agricultural University)",0,0,,,https://www.researchsquare.com/article/rs-1969516/latest.pdf,https://app.dimensions.ai/details/publication/pub.1157519668,31 Biological Sciences; 3103 Ecology; 3105 Genetics,
4273,pub.1123241927,10.2166/wh.2019.153,32129186,,"Impact of fecal contamination on surface water quality in the São Francisco River hydrographic basin in Minas Gerais, Brazil","Proper water quality monitoring is a valuable tool for water resource management, helping to identify polluting sources and risks related to the use of water resources. One of the main types of contamination found in Brazilian water bodies is fecal contamination, which originates mainly from point source pollution through wastewater disposal. Thus, this study analyzed water quality monitoring data from the responsible environmental body (Minas Gerais Institute of Water Management, IGAM), related to the fecal contamination indicator (FCI), for the years 2000-2018. This was done for the Minas Gerais portion of the São Francisco River basin (SFRB-MG), one of the most important basins in the country. The 10 sub-basins in the area were compared using statistical tools. The work found significant differences between the sub-basins in terms of FCI concentration, highlighting the most impacted ones (SF2, SF3, and SF5) as also being the most densely populated. It is necessary to invest in sanitation measures in order to ensure that water resources are preserved, as well as to reduce the public health risks of downstream municipalities that are supplied with previously contaminated water.",,,Journal of Water and Health,,,Brazil; Environmental Monitoring; Feces; Rivers; Water Pollution; Water Quality,2019-12-09,2019,2019-12-09,2020-02-01,18,1,48-59,All OA; Bronze,Article,"Dantas, Marina Salim; de Oliveira, Josiani Cordova; Pinto, Carolina Cristiane; Oliveira, Sílvia Corrêa","Dantas, Marina Salim (Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte, CEP 31270-901, MG, Brazil); de Oliveira, Josiani Cordova (Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte, CEP 31270-901, MG, Brazil); Pinto, Carolina Cristiane (Department of Chemical Engineering, Federal University of Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte, CEP 31270-901, MG, Brazil); Oliveira, Sílvia Corrêa (Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Av. Presidente Antônio Carlos, 6627, Belo Horizonte, CEP 31270-901, MG, Brazil)",,"Dantas, Marina Salim (Universidade Federal de Minas Gerais); de Oliveira, Josiani Cordova (Universidade Federal de Minas Gerais); Pinto, Carolina Cristiane (Universidade Federal de Minas Gerais); Oliveira, Sílvia Corrêa (Universidade Federal de Minas Gerais)",10,5,0.58,1.66,https://iwaponline.com/jwh/article-pdf/18/1/48/720561/jwh0180048.pdf,https://app.dimensions.ai/details/publication/pub.1123241927,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4266,pub.1158430547,10.1016/j.jenvman.2023.118249,37245314,,Determining the main contributing factors to nutrient concentration in rivers in arid northwest China using partial least squares structural equation modeling,"Understanding the main driving factors of oasis river nutrients in arid areas is important to identify the sources of water pollution and protect water resources. Twenty-seven sub-watersheds were selected in the lower oasis irrigated agricultural reaches of the Kaidu River watershed in arid Northwest China, divided into the site, riparian, and catchment buffer zones. Data on four sets of explanatory variables (topographic, soil, meteorological elements, and land use types) were collected. The relationships between explanatory variables and response variables (total phosphorus, TP and total nitrogen, TN) were analyzed by redundancy analysis (RDA). Partial least squares structural equation modeling (PLS-SEM) was used to quantify the relationship between explanatory as well as response variables and fit the path relationship among factors. The results showed that there were significant differences in the TP and TN concentrations at each sampling point. The catchment buffer exhibited the best explanatory power of the relationship between explanatory and response variables based on PLS-SEM. The effects of various land use types, meteorological elements (ME), soil, and topography in the catchment buffer were responsible for 54.3% of TP changes and for 68.5% of TN changes. Land use types, ME and soil were the main factors driving TP and TN changes, accounting for 95.56% and 94.84% of the total effects, respectively. The study provides a reference for river nutrients management in arid oases with irrigated agriculture and a scientific and targeted basis to mitigate water pollution and eutrophication of rivers in arid lands.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements We appreciate the anonymous reviewers and editors for appraising our manuscript and for offering instructive comments. This research was carried out with the National Natural Science Foundation of China (U2003205), the State Key Laboratory of Lake Science and Environment (2022SKL007), the Tianshan Talent Project (Phase III) of the Xinjiang Uygur Autonomous Region.",,Journal of Environmental Management,,,"Least-Squares Analysis; Rivers; Environmental Monitoring; Water Pollutants, Chemical; Latent Class Analysis; Soil; China; Phosphorus; Nitrogen; Nutrients",2023-05-27,2023,2023-05-27,2023-10,343,,118249,Closed,Article,"Wang, Weiwei; Zhang, Fei; Zhao, Qi; Liu, Changjiang; Jim, Chi Yung; Johnson, Verner Carl; Tan, Mou Leong","Wang, Weiwei (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830017, China.); Zhang, Fei (College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China. Electronic address: zhangfei3s@zjnu.edu.cn.); Zhao, Qi (Xinjiang Bayingolin Mongolian Autonomous Prefecture Environmental Monitoring Station, Korla, 84100, China.); Liu, Changjiang (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830017, China; Xinjiang Institute of Technology, Aksu, 843000, China.); Jim, Chi Yung (Department of Social Sciences, Education University of Hong Kong, Lo Ping Road, Tai Po, 999077, Hong Kong, China.); Johnson, Verner Carl (Department of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, CO, 81501, USA.); Tan, Mou Leong (GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, 11800, Penang, Malaysia.)","Zhang, Fei (Zhejiang Normal University)","Wang, Weiwei (Xinjiang University); Zhang, Fei (Zhejiang Normal University); Zhao, Qi (Xinjiang Bayingolin Mongolian Autonomous Prefecture Environmental Monitoring Station, Korla, 84100, China.); Liu, Changjiang (Xinjiang University; College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830017, China; Xinjiang Institute of Technology, Aksu, 843000, China.); Jim, Chi Yung (Education University of Hong Kong); Johnson, Verner Carl (Colorado Mesa University); Tan, Mou Leong (Universiti Sains Malaysia)",10,10,,,,https://app.dimensions.ai/details/publication/pub.1158430547,"30 Agricultural, Veterinary and Food Sciences; 3002 Agriculture, Land and Farm Management; 31 Biological Sciences; 3103 Ecology; 37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management",15 Life on Land
4265,pub.1157511626,10.1016/j.watres.2023.119988,37126996,,Climate change adaptation and mitigation measures for alluvial aquifers - Solution approaches based on the thermal exploitation of managed aquifer (MAR) and surface water recharge (MSWR),"As climate change adaptation strategies, both Managed Aquifer (MAR) and Surface Water Recharge (MSWR) are not only highly suitable tools to mitigate negative effects on water resources but also bear large potential for concomitant exploitation of thermal energy. They should thus form an integral part of any sustainable water resources management strategy. However, while at global scale general water resource adaptation and mitigation measures are discussed widely, measures that build on thermal exploitation of MAR and MSWR, and which are readily adaptable to various different local and regional scale conditions, have yet to be developed. Here, based on systematic numerical analyses of the sensitivity of groundwater and surface water recharge as well as water temperatures to climate change, we present adaptable implementation strategies of MAR and MSWR with concomitant exploitation of their thermal energy potential. Strategies and feasibility benchmarks for the exploitation of hydrologic and energetic potentials of MAR and MSWR were developed based on three hydrologically and hydrogeologically contrasting urban study sites near the city of Basel, Switzerland. Our studies show projected trends in the number of days when surface water temperatures exceed 25 °C examined for various streamflow and climate scenarios. We illustrate that local hydrogeologic settings and hydrological boundary conditions as well as legal aspects affect to which degree MAR and MSWR are suitable solutions as climate change adaptation measures. Optimal situations for exploiting the potential of seasonal heat storage in MAR and MSWR exist where subsurface travel times between the injection and the withdrawal or exfiltration point are between 4 and 8 months and legal limits allow a sufficiently large temperature spread. In such settings, the exploitable water flux and temperature spread of MAR and MSWR reaches a heat potential of 14 to 20 MW (i.e., corresponding to 3 to 7 wind power plants), and energetic exploitation becomes a suitable tool either for local low-temperature heat applications such as heating and hot water or for ecological use as a heat and water buffer in rivers affected by seasonal droughts. As a positive side effect, climate-induced warming of groundwater resources and temperature increases in drinking water withdrawals would be mitigated simultaneously.","Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements We acknowledge the financial support of the Hydrology Division of the Federal Office for the Environment (FOEN) within the scope of the research project “Energetic potentials - thermal use of surface water for artificial groundwater recharge” (EnerPot – MAR – MSWR). Furthermore, we would like to kindly thank the following organizations and persons for providing to us the required data: The Office for Environment and Energy Basel-Stadt AUE BS, the Civil Engineering Office TBA BS, the Basel-Landschaft Office for Environmental Protection and Energy AUE BL, the Civil Engineering Office TBA BL, Sebastiano Piccolroaz for the assistance in the air2stream modeling and Massimiliano Zappa for making river discharge simulations available as well as the Industrielle Werke Basel IWB and the Hardwasser AG. All maps have been reproduced by permission of swisstopo (BA20090).",,Water Research,,,Water; Climate Change; Groundwater; Water Resources; Rivers,2023-04-25,2023,2023-04-25,2023-06,238,,119988,All OA; Hybrid,Article,"Jannis, Epting; Vinnå, Love Råman; Annette, Affolter; Stefan, Scheidler; Schilling, Oliver S","Jannis, Epting (Applied and Environmental Geology, Hydrogeology, Department of Environmental Sciences, University of Basel, CH-4056 Basel, Switzerland. Electronic address: jannis.epting@unibas.ch.); Vinnå, Love Råman (Applied and Environmental Geology, Hydrogeology, Department of Environmental Sciences, University of Basel, CH-4056 Basel, Switzerland.); Annette, Affolter (Applied and Environmental Geology, Hydrogeology, Department of Environmental Sciences, University of Basel, CH-4056 Basel, Switzerland.); Stefan, Scheidler (Applied and Environmental Geology, Hydrogeology, Department of Environmental Sciences, University of Basel, CH-4056 Basel, Switzerland.); Schilling, Oliver S (Hydrogeology, Department of Environmental Sciences, University of Basel, CH-4056 Basel, Switzerland; Department Water Resources and Drinking Water, Eawag - Swiss Federal Institute of Aquatic Science and Technology, CH-8600 Dübendorf, Switzerland.)","Jannis, Epting (University of Basel)","Jannis, Epting (University of Basel); Vinnå, Love Råman (University of Basel); Annette, Affolter (University of Basel); Stefan, Scheidler (University of Basel); Schilling, Oliver S (University of Basel; Swiss Federal Institute of Aquatic Science and Technology)",1,1,,,https://doi.org/10.1016/j.watres.2023.119988,https://app.dimensions.ai/details/publication/pub.1157511626,37 Earth Sciences; 3705 Geology; 3707 Hydrology,13 Climate Action
4262,pub.1031548406,10.1016/j.marpolbul.2015.10.035,26517942,,Modeling increased riverine nitrogen export: Source tracking and integrated watershed-coast management,"The global NEWS model was calibrated and then used to quantify the long term trend of dissolved inorganic nitrogen (DIN) export from two tributaries of Jiulong River (SE China). Anthropogenic N inputs contributed 61-92% of river DIN yield which increased from 337 in 1980s to 1662 kg N km(-2) yr(-1) in 2000s for the North River, and from 653 to 3097 kg N km(-2) yr(-1) for the West River. North River and West River contributed 55% and 45% respectively of DIN loading to the estuary. Rapid development and poor management driven by national policies were responsible for increasing riverine N export. Scenario analysis and source tracking suggest that reductions of anthropogenic N inputs of at least 30% in the North River (emphasis on fertilizer and manure) and 50% in the West River (emphasis on fertilizer) could significantly improve water quality and mitigate eutrophication in both river and coastal waters.","AcknowledgmentsThis study was supported by the National Natural Science Foundation of China (No. 41376082; U1305231), Xiamen Southern Oceanographic Center (14GST68NF32), the Program for New Century Excellent Talents in University (NCET-13-0496), and Fujian Provincial S&amp;T Project (2013YZ0001-1). We thank Jonathan Vause for his assistance with English editing and the anonymous reviewers for helpful comments and suggestions which improved the manuscript.",,Marine Pollution Bulletin,,,"China; Conservation of Natural Resources; Environmental Monitoring; Estuaries; Eutrophication; Fertilizers; Models, Theoretical; Nitrogen; Rivers; Sewage; Water Pollution; Water Quality",2015-10-27,2015,2015-10-27,2015-12,101,2,642-652,All OA; Green,Article,"Yu, Dan; Yan, Weijin; Chen, Nengwang; Peng, Benrong; Hong, Huasheng; Zhuo, Guihua","Yu, Dan (State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China); Yan, Weijin (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China); Chen, Nengwang (State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China); Peng, Benrong (State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China); Hong, Huasheng (State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China); Zhuo, Guihua (Fujian Provincial Academy of Environmental Science, Fuzhou 350003, China)","Chen, Nengwang (Xiamen University)","Yu, Dan (Xiamen University); Yan, Weijin (Institute of Geographic Sciences and Natural Resources Research); Chen, Nengwang (Xiamen University); Peng, Benrong (Xiamen University); Hong, Huasheng (Xiamen University); Zhuo, Guihua (Fujian Provincial Academy of Environmental Science, Fuzhou 350003, China)",29,12,0.59,4.66,http://ir.igsnrr.ac.cn/bitstream/311030/43594/1/Yu-2015-Modeling%20increased%20r.pdf,https://app.dimensions.ai/details/publication/pub.1031548406,"30 Agricultural, Veterinary and Food Sciences; 3002 Agriculture, Land and Farm Management; 3004 Crop and Pasture Production",
4261,pub.1145266545,10.1002/ieam.4589,35118803,,Isotopic source identification of nitrogen pollution in the Pi River in Chengdu,"This study used stable isotope (δ15 N-  NO 3 -   and δ18 O-  NO 3 -   ) ratios, modeled by means of a Bayesian stable isotope analysis in R (SIAR) approach, to identify nitrate sources in the Pi River, which flows through the megacity Chengdu. The goal was to determine where management resources should be applied to reduce nitrogen pollution. Results revealed that  NO 3 -   was the primary nitrogen species throughout the study area; that it originated in manure and sewage, as well as nitrification of fertilizer and soil nitrogen; and that the nitrogen in the main stream came primarily from the tributaries. Notably, the nitrogen concentration in the tributaries exhibited no evident seasonal variations, further demonstrating that its source was intensive anthropogenic activity. Results of Bayesian model (SIAR) estimation indicated that manure and sewage were the dominant nitrate contributors in the watershed and that the nitrate concentration decreased from 54.19% to 39.57% in response to water treatment. These results empirically demonstrate that the methodology described in this work can be used effectively in catchments affected by intensive anthropogenic activity to determine where management resources should be applied to reduce nitrogen pollution. Integr Environ Assess Manag 2022;18:1609-1620. © 2022 SETAC.",ACKNOWLEDGMENT We are grateful to the Chinese Academy of Geological Sciences for the stable isotopes monitoring. This research was jointly funded and analytically supported by the National Science Foundation of China (41473013 and 41627802) and the Water Pollution and Technology Foundation Project of Chengdu Ecological Environment Bureau entitled “Source Analysis of Surface Water Pollutions in Chengdu City.” CONFLICT OF INTEREST The authors declare that there are no conflicts of interest.,,Integrated Environmental Assessment and Management,,,"Rivers; Nitrogen; Nitrates; Sewage; Manure; Environmental Monitoring; Bayes Theorem; Water Pollutants, Chemical; Nitrogen Isotopes; China",2022-04-26,2022,2022-04-26,2022-11,18,6,1609-1620,Closed,Article,"Ding, Yao; Shi, Qing; OuYang, Lili; Lai, Bo; Lai, Chengyue; Yao, Gang; Wang, Zhaoli; Jia, Binyang","Ding, Yao (College of Architecture & Environment, Sichuan University, Chengdu, P.R. China; Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Shi, Qing (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); OuYang, Lili (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Lai, Bo (College of Architecture & Environment, Sichuan University, Chengdu, P.R. China); Lai, Chengyue (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Yao, Gang (College of Architecture & Environment, Sichuan University, Chengdu, P.R. China; Institute for Environmental Engineering of RWTH Aachen University, Nordrhein‐Westfalen, Germany); Wang, Zhaoli (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Jia, Binyang (Chengdu Operation Center for Environmental Emergencie, Chengdu, P.R. China)","Jia, Binyang (Chengdu Operation Center for Environmental Emergencie, Chengdu, P.R. China)","Ding, Yao (Sichuan University; Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Shi, Qing (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); OuYang, Lili (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Lai, Bo (Sichuan University); Lai, Chengyue (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Yao, Gang (Sichuan University; RWTH Aachen University); Wang, Zhaoli (Chengdu Institute of Environmental Protection, Chengdu, P.R. China); Jia, Binyang (Chengdu Operation Center for Environmental Emergencie, Chengdu, P.R. China)",3,3,,,,https://app.dimensions.ai/details/publication/pub.1145266545,41 Environmental Sciences,
4260,pub.1157287180,10.1038/s41598-023-33551-y,37069206,PMC10110511,Assessment of the water sources for potential channels of faecal contamination within Vhembe District Municipality using sanitary inspections and hydrogen sulphide test,"Numerous human activities and poor sanitation management cause public health concern, particularly in rural communities without reliable water supply systems and resources for the monitoring of the quality of their water sources. This study assessed the relationship between observed sanitary risks and hydrogen sulphide (H2S) strip test results in the identification of faecal contamination of various water sources used at household level in rural areas of the Vhembe District Municipality. The highest percentage sanitary risk scores ranging from 50 to 100% were recorded for both river and dam water commonly used by the households for multiple purposes, including drinking. All the surface water samples (100%) also tested positive for H2S production, which is linked to the contamination of water sources by bacteria of faecal origin. The overall results showed a significant and positive correlation (r = 0.623, p = 0.003 in the wet season and r = 0.504, p = 0.017 in the dry season) between sanitary risk scores and H2S strip test results. In low resource settings, the use of sanitary inspections combined with the inexpensive and easy-to-use H2S strip tests can be effective as drinking water quality management tools to raise an awareness among community members of the faecal contamination of their water sources.",The author expresses gratitude to the National Research Foundation and the Department of Science and Innovation for funding our research under the South African Research Chairs Initiative (SARChI) for Water Quality and Wastewater Management (UID87310). Further funding provided by the Tshwane University of Technology is also acknowledged. The authors would like to acknowledge the assistance of an MSc students in TUT Water Group Unit for data collection and the editor.,,Scientific Reports,,,Humans; Water Supply; Hydrogen Sulfide; Water Microbiology; Water Quality; Bacteria; Drinking Water,2023-04-17,2023,2023-04-17,,13,1,6250,All OA; Gold,Article,"Murei, A.; Kamika, I.; Samie, A.; Momba, M. N. B.","Murei, A. (Department of Environmental, Water and Earth Sciences, Tshwane University of Technology, Arcadia Campus, P/B X 680, 0001, Pretoria, South Africa); Kamika, I. (Nanotechnology and Water Sustainability Research Unit, School of Science, College of Science, Engineering and Technology, Florida Campus, University of South Africa, P.O Box 392, 1710, Florida, Roodepoort, South Africa); Samie, A. (Molecular Parasitology and Opportunistic Infections Research Program, Department of Biochemistry and Microbiology, University of Venda, Private Bag x5050, 0950, Thohoyandou, South Africa); Momba, M. N. B. (Department of Environmental, Water and Earth Sciences, Tshwane University of Technology, Arcadia Campus, P/B X 680, 0001, Pretoria, South Africa)","Murei, A. (Tshwane University of Technology); Momba, M. N. B. (Tshwane University of Technology)","Murei, A. (Tshwane University of Technology); Kamika, I. (Nanotechnology and Water Sustainability Research Unit, School of Science, College of Science, Engineering and Technology, Florida Campus, University of South Africa, P.O Box 392, 1710, Florida, Roodepoort, South Africa); Samie, A. (University of Venda); Momba, M. N. B. (Tshwane University of Technology)",4,4,,,https://www.nature.com/articles/s41598-023-33551-y.pdf,https://app.dimensions.ai/details/publication/pub.1157287180,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4258,pub.1170114662,10.1038/s41598-024-57739-y,38532065,PMC10966078,Multi-criteria decision analysis framework for engaging stakeholders in river pollution risk management,"Water pollution presents a substantial environmental challenge with extensive implications for water resources, ecosystem sustainability, and human health. Using a South African catchment, this study aimed to provide watershed managers with a framework for selecting best management practices (BMPs) to reduce pollution and the related risk to river users, while also including the perspectives of key catchment stakeholders. The framework encompassed the identification of and consultation with key stakeholders within the catchment. A Multi-Criteria Decision Analysis (MCDA) methodology using the Simple Multi-Attribute Rating Technique for Enhanced Stakeholder Take-up (SMARTEST) was used to identify and prioritise suitable BMPs in a case study. Decision alternatives and assessment criteria as well as their weights were derived based on stakeholder responses to a two-stage survey. Stakeholders included those utilising the river for domestic and recreational purposes, municipal representatives, scientists, NGOs, and engineers. The assessment of decision alternatives considered environmental, economic, and social criteria. The aggregated scores for decision alternatives highlighted the significance of involving stakeholders throughout the decision process. This study recommends the pairing of structural and non-structural BMPs. The findings provide valuable insights for catchment managers, policymakers, and environmental stakeholders seeking inclusive and effective pollution mitigation strategies in a catchment.","The authors would like to thank Duzi Umgeni Conservation Trust (DUCT) River Care Team, Pietermaritzburg, South Africa; GroundTruth (Environmental Consultants, Pietermaritzburg, South Africa); Zethule Mthalane (Canoeist, Pietermaritzburg, South Africa); and all stakeholder participants for providing valuable input and data.",Open access funding provided by Chalmers University of Technology.,Scientific Reports,,,,2024-03-26,2024,2024-03-26,,14,1,7125,All OA; Gold,Article,"Ngubane, Zesizwe; Bergion, Viktor; Dzwairo, Bloodless; Stenström, Thor Axel; Sokolova, Ekaterina","Ngubane, Zesizwe (Department of Civil Engineering, Durban University of Technology, 3201, Pietermaritzburg, South Africa); Bergion, Viktor (Department of Architecture and Civil Engineering, Chalmers University of Technology, 41296, Gothenburg, Sweden); Dzwairo, Bloodless (Department of Civil Engineering, Durban University of Technology, 3201, Pietermaritzburg, South Africa; Institute for Water and Wastewater Technology, Durban University of Technology, 4000, Durban, South Africa); Stenström, Thor Axel (Institute for Water and Wastewater Technology, Durban University of Technology, 4000, Durban, South Africa); Sokolova, Ekaterina (Department of Earth Sciences, Uppsala University, 75105, Uppsala, Sweden)","Bergion, Viktor (Chalmers University of Technology)","Ngubane, Zesizwe (Durban University of Technology); Bergion, Viktor (Chalmers University of Technology); Dzwairo, Bloodless (Durban University of Technology; Durban University of Technology); Stenström, Thor Axel (Durban University of Technology); Sokolova, Ekaterina (Uppsala University)",0,0,,,https://www.nature.com/articles/s41598-024-57739-y.pdf,https://app.dimensions.ai/details/publication/pub.1170114662,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,
4257,pub.1148540026,10.1371/journal.pone.0269193,35679222,PMC9182715,An information theory-based approach to characterize drivers of upstream salmon migration,"The migration timing of Pacific salmon in the Columbia River basin is subject to multiple influences related to climate, human water resource management, and lagged effects such as oceanic conditions. We apply an information theory-based approach to analyze drivers of adult Chinook salmon migration within the spring and fall spawning seasons and between years based on salmon counts at dams along the Columbia and Snake Rivers. Time-lagged mutual information and information decomposition measures, which characterize lagged and nonlinear dependencies as reductions in uncertainty, are used to detect interactions between salmon counts and lagged streamflows, air and water temperatures, precipitation, snowpack, climate indices and downstream salmon counts. At a daily timescale, these interdependencies reflect migration timing and show differences between fall and spring run salmon, while dependencies based on variables at an annual resolution reflect long-term predictability. We also highlight several types of joint dependencies where predictability of salmon counts depends on the knowledge of multiple lagged sources. This study illustrates how co-varying human and natural drivers could propagate to influence salmon migration timing or overall returns, and how nonlinear types of dependencies between variables enhance predictability of a target. This information-based framework is broadly applicable to assess driving factors in other types of complex water resources systems or species life cycles.","Data were obtained from the Fish Passage Center, US Army Corps of Engineers, Richland Operations Office and Office of River Protection, National Resources Conservation Service, and the National Oceanic and Atmospheric Administration. Codes for the analysis are available at https://github.com/allisongoodwell/Campbell_Salmon_2021. The authors would like to thank Julianne Quinn and Jon Lamontagne for useful discussions regarding information measures and the inspiring the particular study region.","AEG was supported by National Science Foundation (NSF) Grant EAR #2012850 for the Critical Interface Network for Intensively Managed Landscapes (CINet). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Masami Fujiwara,Animal Migration; Animals; Humans; Information Theory; Oncorhynchus; Rivers; Salmon,2022-06-09,2022,2022-06-09,,17,6,e0269193,All OA; Gold,Article,"Goodwell, Allison; Campbell, Nicholas","Goodwell, Allison (Department of Civil Engineering, University of Colorado Denver, Denver, CO, United States America); Campbell, Nicholas (Department of Civil Engineering, University of Colorado Denver, Denver, CO, United States America)","Goodwell, Allison (University of Colorado Denver)","Goodwell, Allison (University of Colorado Denver); Campbell, Nicholas (University of Colorado Denver)",1,1,,0.43,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0269193&type=printable,https://app.dimensions.ai/details/publication/pub.1148540026,37 Earth Sciences; 3701 Atmospheric Sciences,
4256,pub.1154028754,10.1016/j.scitotenv.2022.161106,36586674,,Redistribution effect of irrigation on shallow groundwater recharge source contributions in an arid agricultural region,"Recharge sources such as precipitation, mountain front recharge, mountain block recharge and confined water are the sources usually considered in quantitative studies of groundwater recharge. Changes in recharge processes caused by irrigation practices need to be fully considered for the accurate budgeting and management of water resources. Here, we put forward a conceptual framework for evaluating the shallow groundwater recharge process in arid irrigated agricultural areas using hydrochemical and stable isotope techniques, combined with an assessment of hydrogeological conditions and quantitative models. In general, the recharge effect of atmospheric precipitation on shallow groundwater in arid areas is relatively small. The contributions made by recharge sources in the studied river irrigated area, from greater to smaller, were confined groundwater (46.98 %), river water (45.48 %) and precipitation (7.55 %). The original range in groundwater recharge levels caused by river leakage also appeared to have expanded in response to the establishment of canal irrigation networks. Lateral groundwater flow and confined groundwater were the main recharge sources of shallow groundwater in areas fed by well irrigation and well-/spring-water irrigation (not taking into account any groundwater irrigation leakage). However, had the recharge of shallow groundwater by groundwater irrigation leakage, which reached 19.8-41.1 %, not been counted as contributing to actual groundwater recharge, the recharge contributions made by lateral groundwater flow and confined groundwater to shallow groundwater would have been significantly overestimated. This is because the groundwater recharge process has been modified by the various irrigation measures employed in arid agricultural areas, leading to a redistribution effect in groundwater recharge source contributions. This study provides a new perspective and intuitive data support for the development and utilization of water resources in arid regions.","This study was supported by the National Natural Science Foundation of China (Grant Nos. 42101055; 52179026), the Science and Technology Program of Gansu Province, China (Grant No. 22JR5RA081), the Key RD Program of Gansu Province, China (Grant No. 20YF8FA002), and the Science and Technology project of Gansu Province, China (Grant No. 21ZD4NF044-02).",,The Science of The Total Environment,,,,2022-12-28,2022,2022-12-28,2023-03,865,,161106,Closed,Article,"Qi, Shi; Feng, Qi; Shu, Heping; Liu, Wei; Zhu, Meng; Zhang, Chengqi; Yang, Linshan; Yin, Zhenliang","Qi, Shi (State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China. Electronic address: shiqi@lzb.ac.cn.); Feng, Qi (Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China. Electronic address: qifeng@lzb.ac.cn.); Shu, Heping (College of water conservancy and Hydropower Engineering, Gansu Agricultural University, Lanzhou 730070, China.); Liu, Wei (Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.); Zhu, Meng (Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.); Zhang, Chengqi (Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.); Yang, Linshan (Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.); Yin, Zhenliang (Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.)","Qi, Shi (Northwest Institute of Eco-Environment and Resources); Feng, Qi (Northwest Institute of Eco-Environment and Resources)","Qi, Shi (Northwest Institute of Eco-Environment and Resources); Feng, Qi (Northwest Institute of Eco-Environment and Resources); Shu, Heping (Gansu Agricultural University); Liu, Wei (Northwest Institute of Eco-Environment and Resources); Zhu, Meng (Northwest Institute of Eco-Environment and Resources); Zhang, Chengqi (Northwest Institute of Eco-Environment and Resources); Yang, Linshan (Northwest Institute of Eco-Environment and Resources); Yin, Zhenliang (Northwest Institute of Eco-Environment and Resources)",6,6,,3.67,,https://app.dimensions.ai/details/publication/pub.1154028754,37 Earth Sciences; 3705 Geology; 3707 Hydrology,2 Zero Hunger
4254,pub.1105168510,10.1016/j.scitotenv.2018.06.225,29960228,,Assessing environmental flows of coordinated operation of dams and weirs in the Geum River basin under climate change scenarios,"The International Panel on Climate Change (IPCC) has predicted frequent and severe droughts and floods caused by irregular climatic conditions in the future, making water resources management difficult. Within the field of integrated watershed management, the concept of 'environmental flow' is being increasingly studied. In Korea, the Four Major Rivers Restoration Project was carried out as part of the plan to manage future water resources, particularly in response to climate change. In order to improve comprehensive water resources management, there is an interest in integrating into the operation of the existing dams the multi-functional weirs constructed under the said project. To date, there is an absence of studies comprehensively considering climate change, run-off volume, reservoir operations, and environmental flow, with most of the existing studies focusing only on one or the other of these factors. In this study, we presented a method to evaluate the river environment that considers all the said factors. To evaluate how environmental flow is influenced by the changes in river flow due to climate change and hydraulic structure operation, the Streamflow Synthesis and Reservoir Regulation (SSARR) was used as the hydrological model, HEC-ResSim was used as the hydraulic structures operational model, and the Global Environmental Flow Calculator (GEFC) was used as the method to evaluate environmental flows. RCP climate change scenarios, provided by the Climate Change Information Center (CCIC), a branch of the Korea Meteorological Administration, were applied to analyze the future watershed runoff characteristics of the Geum River Basin under different hydraulic structure operation modes. This study concludes that efficient use of water resources can be achieved through the integrated operation of the dams and multi-functional weirs in times of water shortage. Comparing the results of modelling under a no‑carbon reduction scenario on one hand, and a scenario in which emissions were reduced on the other hand, differences were found in flows during floods, in the mean annual runoff ratio in accordance with the environment management class, and in the environmental flow rating. It appears that a new water resources management plan is required to respond to climate change as indicated by the shift of the flow duration curve to a lower environmental management class (EMC) under climate change scenarios.","This work was supported by a grant from the National Institute of Environment Research (NIER), funded by the Ministry of Environment (MOE) of the Republic of Korea (NIER-2017-01-01-081).",,The Science of The Total Environment,,,,2018-06-28,2018,2018-06-28,2018-12,643,,912-925,Closed,Article,"Ahn, Jung Min; Kwon, Heon Gak; Yang, Deuk Seok; Kim, Yong-seok","Ahn, Jung Min (National Institute of Environmental Research (NIER), Nakdong River Environment Research Center, 24, Pyeongri-1gil, Dasan-myeon, Goryeong-gun, Gyeongsangbuk-do 717-873, Republic of Korea); Kwon, Heon Gak (National Institute of Environmental Research (NIER), Nakdong River Environment Research Center, 24, Pyeongri-1gil, Dasan-myeon, Goryeong-gun, Gyeongsangbuk-do 717-873, Republic of Korea); Yang, Deuk Seok (National Institute of Environmental Research (NIER), Nakdong River Environment Research Center, 24, Pyeongri-1gil, Dasan-myeon, Goryeong-gun, Gyeongsangbuk-do 717-873, Republic of Korea); Kim, Yong-seok (National Institute of Environmental Research (NIER), Nakdong River Environment Research Center, 24, Pyeongri-1gil, Dasan-myeon, Goryeong-gun, Gyeongsangbuk-do 717-873, Republic of Korea)","Ahn, Jung Min (National Institute of Environmental Research)","Ahn, Jung Min (National Institute of Environmental Research); Kwon, Heon Gak (National Institute of Environmental Research); Yang, Deuk Seok (National Institute of Environmental Research); Kim, Yong-seok (National Institute of Environmental Research)",18,8,0.29,2.66,,https://app.dimensions.ai/details/publication/pub.1105168510,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action
4251,pub.1147562441,10.1007/s11356-022-19871-y,35499726,,Evaluation of seawater intrusion and water quality prediction in Dagu River of North China based on fuzzy analytic hierarchy process exponential smoothing method,"Abstract
It is of great significance to evaluate the seawater intrusion degree and predict the change of water quality for coastal groundwater resources. This study takes Dagu River in Jiaodong Peninsula of North China as the target area and combines the relevant theoretical research results to build a seawater intrusion fuzzy analytic hierarchy process (AHP) evaluation model. Five sensitive indicators of water quality, such as Cl−, SO42−, NO3−, TH, and TDS, were selected to evaluate the seawater intrusion level of the long series monitoring data in Xilaiwan, Guanzhuang, and Ligezhuang of Dagu River Basin by using the basic fuzzy mathematics principles and the improved hierarchical analysis method. In this study, the cubic exponential smoothing method was applied to predict groundwater quality change in Dagu River Basin. In order to evaluate the change of seawater intrusion in detail and make timely prediction, this paper innovatively divided the classification standard of seawater intrusion degree based on relevant norms and scholars’ research and predicted the evaluation level of seawater intrusion by using long series historical observation data combined with fuzzy analytic hierarchy process. The cubic exponential smoothing method which has the characteristics of simple and fast was introduced to fit the observation elements, and the historical data were used to verify the prediction of the future development trend. Compared with the evaluation results of seawater intrusion by traditional methods, this study can reflect the whole development trend of seawater intrusion in detail and has the characteristics of more reasonable, accurate, and practical. It also provides a certain reference for the future seawater intrusion prevention. In addition to this case, the method proposed in this study will be applicable to a wider range of coastal zones, providing a new idea for the rational management and control of coastal groundwater resources.",,,Environmental Science and Pollution Research,,,Analytic Hierarchy Process; China; Environmental Monitoring; Groundwater; Rivers; Seawater; Water Quality,2022-05-02,2022,2022-05-02,2022-09,29,44,66160-66176,Closed,Article,"Yang, Haitao; Jia, Chao; Li, Xin; Yang, Fan; Wang, Cong; Yang, Xiao","Yang, Haitao (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Jia, Chao (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China; Key Laboratory of Geological Safety of Coastal Urban Underground Space, MNR, 266100, Qingdao, China); Li, Xin (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Yang, Fan (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Wang, Cong (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Yang, Xiao (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China)","Jia, Chao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China; Key Laboratory of Geological Safety of Coastal Urban Underground Space, MNR, 266100, Qingdao, China)","Yang, Haitao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Jia, Chao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China; Key Laboratory of Geological Safety of Coastal Urban Underground Space, MNR, 266100, Qingdao, China); Li, Xin (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Yang, Fan (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Wang, Cong (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Yang, Xiao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China)",10,10,1.03,6.67,,https://app.dimensions.ai/details/publication/pub.1147562441,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology,
4244,pub.1099736645,10.1007/s10661-017-6390-8,29264669,,Benthic macroinvertebrates response to water management in a lowland river: effects of hydro-power vs irrigation off-stream diversions,"An eco-hydraulic survey of the highly regulated Adda River (northern Italy) was carried out to highlight the ecological implications of the current water management, including minimum flows (MFs) set as environmental protection measures. Macroinvertebrates, flows, and other main physico-chemical parameters were monitored from 2010 to 2012 at seven sites located in two river reaches characterized by different water abstraction schemes. In the upper part of the river, water is mainly diverted for hydro-power, and, in water-depleted reaches, discharges equalled MF for more than 100 days y−1, mainly during winter. In the downstream river reach, where irrigation use prevails, discharges were on average three times higher than in the upper part of the river, and flow values similar to MF were detected only for short periods during summer. The two resulting streamflow patterns seem to have shaped different benthic communities, superimposing to the natural downstream variation. The upper reach is characterized by univoltine taxa, while the lower reach by multivoltine taxa adapted to a more disturbed environment. Chironomidae, a well-known tolerant benthic family, dominated at a site affected by point-source pollution, which turned out to be another determinant of macroinvertebrate community. Despite these differences among sites in the benthic community structure, the current water management seems to allow, for all of the investigated river sites, the achievement of the good ecological status as defined by the local law set in accomplishment of the Water Framework Directive.","This study is part of the project “Experimental Minimum Flows Proposal for Environmental Quality and River Biocenosis Protection in the Adda River”, undertaken by the Adda Consortium. We especially thank Dr. Luigi Bertoli for his help in the definition of the hydrological framework of the Adda River, and Mattia Cordì for the field and lab work.",,Environmental Monitoring and Assessment,,,"Agricultural Irrigation; Animals; Aquatic Organisms; Chironomidae; Conservation of Natural Resources; Environmental Monitoring; Invertebrates; Italy; Rivers; Water Pollutants, Chemical",2017-12-20,2017,2017-12-20,2018-01,190,1,33,Closed,Article,"Salmaso, Francesca; Crosa, Giuseppe; Espa, Paolo; Gentili, Gaetano; Quadroni, Silvia; Zaccara, Serena","Salmaso, Francesca (Department of Theoretical and Applied Sciences, University of Insubria, Via JH Dunant 3, 21100, Varese, Italy); Crosa, Giuseppe (Department of Theoretical and Applied Sciences, University of Insubria, Via JH Dunant 3, 21100, Varese, Italy); Espa, Paolo (Department of Science and High Technology, University of Insubria, Via GB Vico 46, 21100, Varese, Italy); Gentili, Gaetano (GRAIA srl, Via Repubblica 1, 21020, Varano Borghi, Varese, Italy); Quadroni, Silvia (Department of Theoretical and Applied Sciences, University of Insubria, Via JH Dunant 3, 21100, Varese, Italy); Zaccara, Serena (Department of Theoretical and Applied Sciences, University of Insubria, Via JH Dunant 3, 21100, Varese, Italy)","Salmaso, Francesca (University of Insubria)","Salmaso, Francesca (University of Insubria); Crosa, Giuseppe (University of Insubria); Espa, Paolo (University of Insubria); Gentili, Gaetano (GRAIA srl, Via Repubblica 1, 21020, Varano Borghi, Varese, Italy); Quadroni, Silvia (University of Insubria); Zaccara, Serena (University of Insubria)",18,4,0.3,2.58,,https://app.dimensions.ai/details/publication/pub.1099736645,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,6 Clean Water and Sanitation
4242,pub.1007793819,10.1016/j.scitotenv.2015.07.082,26277441,,Development of an integrated methodology for the sustainable environmental and socio-economic management of river ecosystems,"The development of the Water Framework Directive aimed to establish an integrated framework of water management at European level. This framework revolves around inland surface waters, transitional waters, coastal waters and ground waters. In the process of achieving the environment and ecological objectives set from the Directive, the role of economics is put in the core of the water management. An important feature of the Directive is the recovery of total economic cost of water services by all users. The total cost of water services can be disaggregated into environmental, financial and resource costs. Another important aspect of the directive is the identification of major drivers and pressures in each River Basin District. We describe a methodology that is aiming to achieve sustainable and environmental and socioeconomic management of freshwater ecosystem services. The Ecosystem Services Approach is in the core of the suggested methodology for the implementation of a more sustainable and efficient water management. This approach consists of the following three steps: (i) socio-economic characterization of the River Basin area, (ii) assessment of the current recovery of water use cost, and (iii) identification and suggestion of appropriate programs of measures for sustainable water management over space and time. This methodology is consistent with a) the economic principles adopted explicitly by the Water Framework Directive (WFD), b) the three-step WFD implementation approach adopted in the WATECO document, c) the Ecosystem Services Approach to valuing freshwater goods and services to humans. Furthermore, we analyze how the effects of multiple stressors and socio-economic development can be quantified in the context of freshwater resources management. We also attempt to estimate the value of four ecosystem services using the benefit transfer approach for the Anglian River Basin, which showed the significance of such services.",AcknowledgmentsWe thank the European Commission FP7 for the financial support under grant agreement No 603629. We are also indebted to Vicenc Acuna from the Catalan Institute for Water Research in Spain for his significant contribution.,,The Science of The Total Environment,,,,2015-08-13,2015,2015-08-13,2016-01,540,,90-100,All OA; Hybrid,Article,"Koundouri, P.; Rault, P. Ker; Pergamalis, V.; Skianis, V.; Souliotis, I.","Koundouri, P. (Athens University of Economics and Business, Greece; London School of Economics, UK; International Centre for Researcher on the Environment and the Economy (ICRE8), Greece); Rault, P. Ker (Alterra Wageningen University & Research, Netherlands); Pergamalis, V. (International Centre for Researcher on the Environment and the Economy (ICRE8), Greece); Skianis, V. (International Centre for Researcher on the Environment and the Economy (ICRE8), Greece); Souliotis, I. (Athens University of Economics and Business, Greece; International Centre for Researcher on the Environment and the Economy (ICRE8), Greece)","Koundouri, P. (Athens University of Economics and Business; London School of Economics and Political Science; International Centre for Researcher on the Environment and the Economy (ICRE8), Greece)","Koundouri, P. (Athens University of Economics and Business; London School of Economics and Political Science; International Centre for Researcher on the Environment and the Economy (ICRE8), Greece); Rault, P. Ker (Wageningen University & Research); Pergamalis, V. (International Centre for Researcher on the Environment and the Economy (ICRE8), Greece); Skianis, V. (International Centre for Researcher on the Environment and the Economy (ICRE8), Greece); Souliotis, I. (Athens University of Economics and Business; International Centre for Researcher on the Environment and the Economy (ICRE8), Greece)",43,6,0.54,5.13,https://doi.org/10.1016/j.scitotenv.2015.07.082,https://app.dimensions.ai/details/publication/pub.1007793819,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4241,pub.1105118973,10.1016/j.jenvman.2018.06.059,29957421,,Public perception towards river and water conservation practices: Opportunities for implementing urban stormwater management practices,"The effectiveness of urban stormwater management practices (SMPs) on local water quality is dependent on adoption rates reaching a critical mass. While numerous studies have measured the effectiveness of practices on controlling water quantity and improving water quality, few have focused on the perspective of the public. The purpose of this study was to identify individuals' perceptions of urban SMPs implementation in the public and private realms, and how longitudinal perceptions about the local river could inform future water resource management. Through the lens of environmental behavior theories, we performed statistical analyses on four surveys - 2006, 2009, 2014 and 2016 - administered to urban residents in the Wabash River watershed in Tippecanoe County, Indiana. Our findings show that residents' water quality awareness and sense of personal responsibility increase over the ten years studied. In particular, rain garden adopters have higher appreciation of the Wabash River and care about how the river functions than other SMP adopters and non-adopters. In terms of urban SMP adoption, results indicate that residents are supportive of integrating rain barrels and rain gardens into public spaces. Perceptions of SMP benefits related to functional benefits, rather than environmental benefits, are prevalent when considering implementing SMPs on personal property. In addition, respondents support reducing stormwater charges for adopters of such practices on private property. Although cognitive barriers exist in those who have yet to adopt the practices, including concerns about SMP effectiveness, maintenance, aesthetics, and risk of bugs and insects, adopters are less likely to perceive such barriers. This research suggests that making resources (i.e., skills, knowledge, equipment, funding) more accessible to the public is essential, but not sufficient to encourage pro-environmental behaviors. Promoting public involvement in watershed activities, increasing their awareness about how urban SMPs function, and emphasizing the functional benefits of practices can be effective in motivating adoption.","This research was funded by IDEM section 319 Nonpoint Source Management Program Funds, the Indiana Water Resources Research Center, Purdue University&#x27;s Center for the Environment, and Purdue University&#x27;s Department of Forestry and Natural Resources. We would like to thank Laura Esman and Jackie Getson, who assisted with survey design, survey distribution and collection, and data cleaning and R coding.",,Journal of Environmental Management,,,Conservation of Water Resources; Environmental Monitoring; Humans; Indiana; Rain; Rivers; Water Movements,2018-06-26,2018,2018-06-26,2018-10,223,,478-488,Closed,Article,"Gao, Yuling; Church, Sarah P; Peel, Sara; Prokopy, Linda S","Gao, Yuling (Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA. Electronic address: gao305@purdue.edu.); Church, Sarah P (Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA.); Peel, Sara (Wabash River Enhancement Corporation, Lafayette, IN, USA, 47901.); Prokopy, Linda S (Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA.)","Gao, Yuling (Purdue University West Lafayette)","Gao, Yuling (Purdue University West Lafayette); Church, Sarah P (Purdue University West Lafayette); Peel, Sara (Wabash River Enhancement Corporation, Lafayette, IN, USA, 47901.); Prokopy, Linda S (Purdue University West Lafayette)",33,15,0.75,4.48,,https://app.dimensions.ai/details/publication/pub.1105118973,37 Earth Sciences; 3707 Hydrology; 40 Engineering; 4011 Environmental Engineering; 41 Environmental Sciences; 4104 Environmental Management,4 Quality Education
4234,pub.1148971074,10.1016/j.jenvman.2022.115592,35763996,,A novel multi-model fusion framework diagnoses the complex variation characteristics of ecological indicators and quantitatively reveals their driving mechanism,"Systematic analysis of the change law and driving mechanism of ecological indicators (GPP, ET, WUE), as well as the study of maximum threshold of water resources benefit changing with ecological benefit, are important prerequisites for realizing the scientific allocation and efficient utilization of water resources in desert riparian forests. However, previous studies have defects in the detailed description of the change characteristics of ecological indicators. How to accurately diagnose the characteristics of a site, mutation year, pattern (linear, exponential, logarithmic, etc.), duration of change, future change trends of ecological indicators in a desert riparian environment, as well as quantitatively revealing their driving mechanisms, are major scientific problems that need to be solved urgently. In this regard, an ensemble function coupling a logistic function and an asymmetric Gaussian function was creatively adopted, a novel framework was created to integrate the time-series trajectory fitting method and the sensitivity analysis method, and the arid and ecologically fragile Tarim River Basin was taken as a typical area. The results showed that with enhanced water resource management in the Tarim River Basin, GPP, ET, and WUE all showed patterns of increasing change and could be expected to continue to rise or to remain at a high-level stable state. The longest continuous period of GPP change was 15 years, showing that ecological restoration is a long-term process. The years of GPP mutation were consistent with the implementation periods of major measures in the Tarim River Basin (1990, 2001, and 2011), indicating the reliability of this framework. More importantly, when GPP increased to 216.44 gCm-2, the maximum WUE threshold of 0.93 gCm-2mm-1 occurred. This threshold can be used as a reference criterion for efficient utilization of ecological water in the basin. Among the ecological indicators studied, GPP was the most sensitive to environmental change, but GPP, with 80.60% of pixel area, showed a weak memory effect(α < 0.4). Besides, GPP was the most sensitive to the leaf area index (LAI) and had the strongest correlation with it (p < 0.001). Therefore, LAI can be used as the main control factor for judging plant growth. This research can provide important scientific guidance and reference for the analysis of ecological indicator changes and the sustainable utilization of water resources in arid areas.","This research was funded by the Xinjiang Tianshan Youth Program (2019Q006), the West Light Foundation of Chinese Academy of Sciences (2019-XBQNXZ-A-001), and the Xinjiang Water Conservancy Science and Technology Special Fund Project (XSKJ-2022-10).",,Journal of Environmental Management,,,China; Forests; Plant Leaves; Reproducibility of Results; Rivers; Water,2022-06-25,2022,2022-06-25,2022-09,318,,115592,Closed,Article,"Kong, Zijie; Han, Feifei; Ling, Hongbo; Deng, Mingjiang; Li, Mengyi; Yan, Junjie","Kong, Zijie (State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300192, China; School of Civil Engineering, Tianjin University, Tianjin 300192, China. Electronic address: 18846921135@163.com.); Han, Feifei (College of Water Sciences, Beijing Normal University, Beijing 100875, PR China. Electronic address: hanfiefei2792@163.com.); Ling, Hongbo (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830000, China; University of Chinese Academy of Sciences, Beijing 100000, China; Xinjiang Aksu Oasis Agro-Ecosystem Observation and Experiment Station, China. Electronic address: linghongbo0929@163.com.); Deng, Mingjiang (State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300192, China; Xinjiang Ertix River Basin Development and Construction Management Bureau, Urumqi 830000, China. Electronic address: xjdmj@163.com.); Li, Mengyi (State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300192, China; School of Civil Engineering, Tianjin University, Tianjin 300192, China. Electronic address: 1724657017@qq.com.); Yan, Junjie (Institute of Resources and Ecology, Yili Normal University, Yining 844500, China. Electronic address: yan3550@sina.com.)","Ling, Hongbo (Xinjiang Institute of Ecology and Geography; University of Chinese Academy of Sciences; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830000, China; University of Chinese Academy of Sciences, Beijing 100000, China; Xinjiang Aksu Oasis Agro-Ecosystem Observation and Experiment Station, China. Electronic address: linghongbo0929@163.com.)","Kong, Zijie (Tianjin University); Han, Feifei (Beijing Normal University); Ling, Hongbo (Xinjiang Institute of Ecology and Geography; University of Chinese Academy of Sciences; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), Urumqi 830000, China; University of Chinese Academy of Sciences, Beijing 100000, China; Xinjiang Aksu Oasis Agro-Ecosystem Observation and Experiment Station, China. Electronic address: linghongbo0929@163.com.); Deng, Mingjiang (Tianjin University; State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300192, China; Xinjiang Ertix River Basin Development and Construction Management Bureau, Urumqi 830000, China. Electronic address: xjdmj@163.com.); Li, Mengyi (Tianjin University); Yan, Junjie (Yili Normal University)",2,2,0.22,1.68,,https://app.dimensions.ai/details/publication/pub.1148971074,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences,
4234,pub.1123163281,10.1016/j.envres.2019.109009,31846896,,"Ecological water conveyance drives human-water system evolution in the Heihe watershed, China","Watersheds are coupled with human-water systems where human, and water resources interact and coevolve with each other. Restoration management not only affects the ecosystem itself but also alters the mutual feedback relationship between humans and water, resulting in additional effects and impeding the ecological restoration process. Taking the lower reaches of the Heihe River as an example (Inner Mongolia, PR China), this study investigated the evolution of the human-water system after the implementation of ecological water conveyance using multiple data sources (e.g., remote sensing data, hydrological data, field data and socioeconomic data). We found that (1) after the implementation of ecological water conveyance, vegetation recovered in the last 15 years with an NDVI increasing from 0.10 to 0.13 across the region except some degraded areas near the river; (2) besides restoring the target ecosystem, ecological water conveyance also promoted socioeconomic development and affected the water resources utilization; (3) after 15 years' water conveyance, the coupled human-water system changed from the early ecological water deficit to the present ecological-socioeconomic water-use trade-off with negative impact resulted from agriculture expansion and water usage conflict between the middle and the lower reaches. These effects impeded the restoration of the ecological environment and aggravated the conflicts of water resources utilization within the whole Heihe watershed, consistent with of the hypothesized disturbance effect transmutation. Our results highlighted that analysis on the mutual feedback effect in the coupled human-water system, and dynamic adjustments for restoration measures are needed for sustainable watershed management.","This work was supported by the National Natural Science Foundation of China (Nos. 41991232, 4181101243) and the Fundamental Research Funds for the Central Universities. Jingyi Ding was supported in part by China Scholarship Council (No. 201706040073).",,Environmental Research,,,China; Conservation of Natural Resources; Ecosystem; Humans; Rivers; Water; Water Resources,2019-12-05,2019,2019-12-05,2020-03,182,,109009,Closed,Article,"Zhao, Wenwu; Ding, Jingyi; Wang, Yaping; Jia, Lizhi; Cao, Wenfang; Tarolli, Paolo","Zhao, Wenwu (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, PR China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, PR China. Electronic address: zhaoww@bnu.edu.cn.); Ding, Jingyi (Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, PR China; School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, 2052, Australia.); Wang, Yaping (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, PR China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, PR China.); Jia, Lizhi (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, PR China; Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, PR China.); Cao, Wenfang (Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, viale dell'Università 16, 35020, Legnaro, PD, Italy.); Tarolli, Paolo (Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, viale dell'Università 16, 35020, Legnaro, PD, Italy.)","Zhao, Wenwu (Beijing Normal University)","Zhao, Wenwu (Beijing Normal University); Ding, Jingyi (Beijing Normal University; UNSW Sydney); Wang, Yaping (Beijing Normal University); Jia, Lizhi (Beijing Normal University); Cao, Wenfang (University of Padua); Tarolli, Paolo (University of Padua)",24,20,0.74,3.99,,https://app.dimensions.ai/details/publication/pub.1123163281,41 Environmental Sciences; 4104 Environmental Management,
4232,pub.1110881713,10.1111/gwat.12854,30582150,,"Surface Water‐Groundwater Interaction in the Guanzhong Section of the Weihe River Basin, China","As a crucial agricultural and economic development zone since the Qin Dynasty (221 to 206 BC), the Guanzhong section of the Weihe River basin is facing serious water resource shortages due to population growth and regional development. Its water resource amount per capita is only 361 m3 , about 1/6 of the average in China and less than 1/20 of the average in the world. Surface water and groundwater (SW-GW) interaction, having a significant influence on the spatiotemporal distribution of water resources, was qualitatively and quantitatively investigated during a wet year based on stable isotopes and hydrochemistry. The results show that the recharge pattern in the north part varies with season, that is, 40% of the surface water recharge comes from groundwater in the dry season, but 93% of the groundwater recharge comes from surface water in the rainy season. In the south part, groundwater is always recharged by surface water, with contributions of 47% and 61% in the rainy and dry seasons, respectively. For the main stream, the recharge pattern is complicated and varies with season and site. This study will provide useful information about SW-GW interaction at basin scale. Integrated management of groundwater and surface water could improve the efficiency of regional water resources utilization and promote accurate and sustainable water management in the semi-arid basin.","This study was supported by the National Natural Science Foundation of China (Grant Nos. 51679200, 51379175, and 41601017), Program for Key Science and Technology Innovation Team in Shaanxi Province (Grant No. 2014KCT‐27), the Postdoctoral Science Foundation of China (Grant No. 2015M572592), the Hundred Talents Project of the Chinese Academy of Sciences (Grant No. A315021406), Scientific Research Plan Projects of Shaanxi Education Department (Grant No. 15JK1762). In particular, we are grateful to the Editor and three anonymous reviewers for providing numerous comments and suggestions, which helped improve this manuscript.",,Ground Water,,,China; Environmental Monitoring; Groundwater; Rivers; Water,2019-01-31,2019,2019-01-31,2019-07,57,4,647-660,Closed,Article,"Kong, Feihe; Song, Jinxi; Zhang, Yan; Fu, Guobin; Cheng, Dandong; Zhang, Guotao; Xue, Ying","Kong, Feihe (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China); Song, Jinxi (State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 710000, China); Zhang, Yan (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China); Fu, Guobin (CSIRO Land and Water, Private Bag 5, Wembley, WA, Australia); Cheng, Dandong (State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 710000, China; University of Chinese Academy of Sciences, Beijing, 100049, China); Zhang, Guotao (University of Chinese Academy of Sciences, Beijing, 100049, China; Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China); Xue, Ying (Airport Construction Headquarter, China West Airport Group, Xi'an, 710027, China)","Song, Jinxi (Institute of Soil and Water Conservation)","Kong, Feihe (Northwest University); Song, Jinxi (Institute of Soil and Water Conservation); Zhang, Yan (Northwest University); Fu, Guobin (CSIRO Land and Water); Cheng, Dandong (Institute of Soil and Water Conservation; University of Chinese Academy of Sciences); Zhang, Guotao (University of Chinese Academy of Sciences; Institute of Mountain Hazards and Environment); Xue, Ying (Airport Construction Headquarter, China West Airport Group, Xi'an, 710027, China)",29,16,1.27,6.22,,https://app.dimensions.ai/details/publication/pub.1110881713,37 Earth Sciences; 3705 Geology; 3707 Hydrology,6 Clean Water and Sanitation
4232,pub.1157362835,10.13287/j.1001-9332.202304.022,37078325,,"Spatial and temporal effect and driving factors of ecosystem service trade-off in the Qingjiang River Basin, China.","Identifying the spatiotemporal differentiation characteristics of trade-offs/synergies relationships of ecosystem service in watersheds and their influencing factors is essential for ecosystem management and regulation. It is of great significance for the efficient allocation of environmental resources and the rational formulation of ecological and environmental policies. We used correlation analysis and root mean square deviation to analyze the trade-offs/synergies relationships among grain provision, net primary productivity (NPP), soil conservation, and water yield service in the Qingjiang River Basin from 2000 to 2020. Then, we analyzed the critical factors affecting the trade-offs of ecosystem services by using the geographical detector. The results showed that grain provision service in the Qingjiang River Basin presented a decreasing trend from 2000 to 2020, and that NPP, soil conservation, as well as water yield service showed an increasing trend. There was a decreasing trend in the degree of trade-offs between grain provision and soil conservation services, NPP and water yield service, and an increasing trend in the intensity of trade-offs between other services. Grain provision and NPP, soil conservation and water yield showed trade-off in the northeast and synergy in the southwest. There was a synergistic relationship between NPP with soil conservation and water yield in the central part and a trade-off relationship in the surrounding area. Soil conservation and water yield showed a high degree of synergy. Land use and normalized difference of vegetation index were the dominant factors in the intensity of trade-offs between grain provision and other ecosystem services. Precipitation, temperature, and elevation were the dominant factors in the intensity of trade-offs between water yield service and other ecosystem services. The intensity of ecosystem service trade-offs was not only affected by a single factor. In contrast, the interaction between the two services or the common factors behind the two services was the determining factor. Our results could provide a reference for developing ecological restoration planning strategies in the national land space.",,,Chinese journal of applied ecology,,,Conservation of Natural Resources; Ecosystem; Rivers; Soil; Edible Grain; China,2023-04,2023,,2023-04,34,4,1051-1062,Closed,Article,"Zhang, Zi-Zheng; Zhang, Lei; Sun, Gui-Ying; Liu, Jun-Xiang","Zhang, Zi-Zheng (Faculty of Resource and Environmental Science, Hubei University, Wuhan 430062, China.; Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China.); Zhang, Lei (Faculty of Resource and Environmental Science, Hubei University, Wuhan 430062, China.; Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China.); Sun, Gui-Ying (Hubei Institute of Urban Planning and Design Limited Liability Company, Wuhan 430062, China.); Liu, Jun-Xiang (Faculty of Resource and Environmental Science, Hubei University, Wuhan 430062, China.; Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China.)",,"Zhang, Zi-Zheng (Hubei University; Hubei University); Zhang, Lei (Hubei University; Hubei University); Sun, Gui-Ying (Hubei Institute of Urban Planning and Design Limited Liability Company, Wuhan 430062, China.); Liu, Jun-Xiang (Hubei University; Hubei University)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1157362835,37 Earth Sciences; 3704 Geoinformatics; 38 Economics; 41 Environmental Sciences,15 Life on Land
4231,pub.1145367264,10.1007/s11356-022-18964-y,35137318,PMC9200672,"Effect of transport infrastructure development on selected components of the environment of inner-city river valley and the possibility of its revitalization (Lublin, Poland)","The study covered an urban river valley, strongly transformed due to the transport infrastructure development. The paper evaluates changes in spatial management of the valley section passing through the city centre that occurred during the past two centuries (long-term and short-term phenomena) as well as their effect on selected environmental components. The basic spatial analyses were carried out with the use of specialized software, cartographic materials and photographic and descriptive documentation of the studied area (archival data). The most unfavourable changes in the potential of the valley environment occurred over the past few decades. They are manifested in a considerable deterioration of landscape values as well as the quantity and quality of water resources. Relationship was identified between water quality and intensity of motor vehicle traffic near the river. Despite the progressing urbanisation of the valley, revitalisation procedures can be still carried out and attractive space in the city centre can be created. In order to demonstrate the reasonableness of the presented concept, the paper suggests that urban succession should be incorporated as a term covering time trends and accumulated transformations. It can be helpful in analysing and determining the directions of development in disputable situations.",,The author received financial support (statutory activity) from the University of Life Sciences in Lublin.,Environmental Science and Pollution Research,,,Cities; Environmental Monitoring; Poland; Rivers; Water Quality,2022-02-09,2022,2022-02-09,2022-06,29,29,44862-44873,All OA; Hybrid,Article,"Zubala, Tomasz","Zubala, Tomasz (Department of Environmental Engineering and Geodesy, University of Life Sciences in Lublin, Leszczyńskiego Street 7, 20-069, Lublin, Poland)","Zubala, Tomasz (University of Life Sciences in Lublin)","Zubala, Tomasz (University of Life Sciences in Lublin)",5,5,,3.89,https://link.springer.com/content/pdf/10.1007/s11356-022-18964-y.pdf,https://app.dimensions.ai/details/publication/pub.1145367264,33 Built Environment and Design; 3304 Urban and Regional Planning; 44 Human Society; 4406 Human Geography,11 Sustainable Cities and Communities
4230,pub.1163946465,10.1007/s13280-023-01918-0,37684553,PMC10692058,A bibliometric review on the Water Framework Directive twenty years after its birth,"The European Water Framework Directive (WFD) is one of the most studied environmental legislations and recently turned twenty. The paper deals with a literature search and analysis of 4120 references related to this Directive. After a period of strong increase in article production (2002–2012) WFD scientific productivity is currently still high (~ 260 papers year−1), suggesting a persistent interest of the scientific community on this issue. Most research supporting the WFD was on water sciences, but contributions were also from governance and socio-economic disciplines. Studies on biological quality elements and rivers were prominent. The WFD implementation has seen a strong participation of scientists from all EU countries, and partially also from outside-EU nations. To improve the EU water policy and management, the paper suggests a greater interconnection between WFD and other EU Directives and indicates some emerging environmental issues to which the Directive should address.",The authors whish to warmly thank the R project and the VOSViewer staff for kindly providing the free softwares used in this study. We finally thank two anonymous reviewers for their suggestions that greatly improved the quality of this manuscript.,Open access funding provided by Consiglio Nazionale Delle Ricerche (CNR) within the CRUI-CARE Agreement.,Ambio,,,Water; European Union; Conservation of Natural Resources; Rivers; Environmental Monitoring,2023-09-08,2023,2023-09-08,2024-01,53,1,95-108,All OA; Hybrid,Article,"Copetti, Diego; Erba, Stefania","Copetti, Diego (National Research Council of Italy - Water Research Institute (CNR- IRSA), Via del Mulino 19, 20861, Brugherio, Monza-Brianza, Italy); Erba, Stefania (National Research Council of Italy - Water Research Institute (CNR- IRSA), Via del Mulino 19, 20861, Brugherio, Monza-Brianza, Italy)","Copetti, Diego (National Research Council)","Copetti, Diego (National Research Council); Erba, Stefania (National Research Council)",0,0,,,https://link.springer.com/content/pdf/10.1007/s13280-023-01918-0.pdf,https://app.dimensions.ai/details/publication/pub.1163946465,41 Environmental Sciences; 48 Law and Legal Studies; 4802 Environmental and Resources Law,
4221,pub.1125558924,10.1016/j.scitotenv.2020.137801,32213437,,"Optimal water distribution system based on water rights transaction with administrative management, marketization, and quantification of sediment transport value: A case study of the Yellow River Basin, China","Water rights transaction has proved to be an effective method for constructing an efficient water distribution system (WDS) in various regions of the Yellow River Basin (YRB). In this study, an optimal WDS in the YRB is proposed by considering the comprehensive value of water resources, administrative management system, and market-based system. To accurately quantify the comprehensive value of water resources, the work analysis method of suspended load and bedload based on the emergy theory and time-averaged motion equation is introduced, and the quantification process of sediment transport value in the river course is formulated in the YRB. Based on this, an administrative and market-based game for water rights transaction is formulated. In this double-layer game model, the administrative authorities of the basin (Yellow River Conservancy Commission) and the corresponding regions (Water Resources Department) seek to maximize their own target revenue function/comprehensive value of the water resources. Then, the optimal trading quantity of water in each region and the bargain price can be solved. A case study is presented in the YRB to verify the effectiveness of this method. The results reveal that (1) the error rate of the riverbed shear stress as well as the sediment transport rate between the theoretical value and the calculated value does not exceed 8.76%, which indicates the rationality of the calculation method of sediment transport value; (2) the proposed dynamic differential game and pricing game perform well in determining the optimal trading quantity of water in each region. They also reveal the bargain price with optimal results of ¥ 4151.1456 half yearly and ¥ 8197.3466 per year in 2018, outperforming other methodologies.","This research was supported by the Thirteenth Five-Year Plan of National Key Development (2017YFC0404400, 2017YFC0404404 and 2017YFC0404404-01), the Key Project of National Natural Science Foundation of China (51739009) and the National Natural Science Foundation of China (NSCF-51509223 and NSCF-51879242).",,The Science of The Total Environment,,,,2020-03-12,2020,2020-03-12,2020-06,722,,137801,Closed,Article,"Di, Danyang; Wu, Zening; Wang, Huiliang; Huang, Shuoqiao","Di, Danyang (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, Henan 450001, PR China.); Wu, Zening (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, Henan 450001, PR China.); Wang, Huiliang (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, Henan 450001, PR China. Electronic address: wanghuiliang@zzu.edu.cn.); Huang, Shuoqiao (School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, Henan 450001, PR China.)","Wang, Huiliang (Zhengzhou University)","Di, Danyang (Zhengzhou University); Wu, Zening (Zhengzhou University); Wang, Huiliang (Zhengzhou University); Huang, Shuoqiao (Zhengzhou University)",16,8,0.5,3.48,,https://app.dimensions.ai/details/publication/pub.1125558924,37 Earth Sciences; 3707 Hydrology,
4220,pub.1155817157,10.1021/acs.est.2c04803,36854446,PMC10019336,Multicompartment Depletion Factors for Water Consumption on a Global Scale,"Balancing human communities' and ecosystems' need for freshwater is one of the major challenges of the 21st century as population growth and improved living conditions put increasing pressure on freshwater resources. While frameworks to assess the environmental impacts of freshwater consumption have been proposed at the regional scale, an operational method to evaluate the consequences of consumption on different compartments of the water system and account for their interdependence is missing at the global scale. Here, we develop depletion factors that simultaneously quantify the effects of water consumption on streamflow, groundwater storage, soil moisture, and evapotranspiration globally. We estimate freshwater availability and water consumption using the output of a global-scale surface water-groundwater model for the period 1960-2000. The resulting depletion factors are provided for 8,664 river basins, representing 93% of the landmass with significant water consumption, i.e., excluding Greenland, Antarctica, deserts, and permanently frozen areas. Our findings show that water consumption leads to the largest water loss in rivers, followed by aquifers and soil, while simultaneously increasing evapotranspiration. Depletion factors vary regionally with ranges of up to four orders of magnitude depending on the annual consumption level, the type of water used, aridity, and water transfers between compartments. Our depletion factors provide valuable insights into the intertwined effects of surface and groundwater consumption on several hydrological variables over a specified period. The developed depletion factors can be integrated into sustainability assessment tools to quantify the ecological impacts of water consumption and help guide sustainable water management strategies, while accounting for the performance limitations of the underlying model.","This study was supported by the Fraunhofer-DTU project EDES (eco-design Stewardship), advancing eco-design excellence, supporting the aeronautics European – Clean Sky Programme. The authors thank Peter Fantke and Vincent Vidal for their valuable comments and all of the anonymous reviewers whose comments contributed improving the quality of the study.",,Environmental Science and Technology,,,Humans; Drinking; Ecosystem; Groundwater; Rivers; Soil; Water Supply; Drinking Water,2023-02-28,2023,2023-02-28,2023-03-14,57,10,4318-4331,Closed,Article,"Pierrat, Eleonore; Dorber, Martin; de Graaf, Inge; Laurent, Alexis; Hauschild, Michael Z.; Rygaard, Martin; Barbarossa, Valerio","Pierrat, Eleonore (Section for Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark (DTU), 2800, Kongens Lyngby, Denmark); Dorber, Martin (Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Høgskoleringen 5, 7034, Trondheim, Norway); de Graaf, Inge (Water Systems and Global Change Group, Wageningen University & Research, 6700, Wageningen, The Netherlands); Laurent, Alexis (Section for Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark (DTU), 2800, Kongens Lyngby, Denmark); Hauschild, Michael Z. (Section for Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark (DTU), 2800, Kongens Lyngby, Denmark); Rygaard, Martin (Water Technology and Processes, Department of Environmental and Resource Engineering, Technical University of Denmark, ningstorvet 115, 2800, Kgs. Lyngby, Denmark); Barbarossa, Valerio (Institute of Environmental Sciences (CML), Leiden University, 2300, Leiden, The Netherlands; PBL Netherlands Environmental Assessment Agency, 2500, The Hague, The Netherlands)","Pierrat, Eleonore (Technical University of Denmark)","Pierrat, Eleonore (Technical University of Denmark); Dorber, Martin (Norwegian University of Science and Technology); de Graaf, Inge (Wageningen University & Research); Laurent, Alexis (Technical University of Denmark); Hauschild, Michael Z. (Technical University of Denmark); Rygaard, Martin (Technical University of Denmark); Barbarossa, Valerio (Leiden University; Netherlands Environmental Assessment Agency)",7,7,,,,https://app.dimensions.ai/details/publication/pub.1155817157,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,6 Clean Water and Sanitation
4220,pub.1140409262,10.1016/j.scitotenv.2021.149639,34418618,,Water security assessment with the improvement of modifying the boundary consistency between footprint and provision,"Clarifying specific water resources distribution and quantifying water security are vital for sustainable management. There is still unexplored gap regarding security indicators as the linkage between water footprint and availability. This study proposed a dynamic water security assessment framework considering the boundary consistency between green water footprint and provision at multi spatio-temporal scales and applied it to Yalong River Basin (YLRB) of southwest China. Results show: 1) The temporal variation of blue water was stronger than green water. Green water flow exhibited more homogeneous spatial distribution than blue water and green water storage. 2) The hotspots of green water crisis were observed in the middle reach with the higher scarcity/vulnerability. 3) Under anthropogenic disturbance, pastureland exhibited lower green water sustainability with scarcity >1 than forest. 4) Lower green water scarcity denoted the potential for rain-fed agriculture in the southeastern YLRB and higher blue water security indicated the water supply prospect for socioeconomic utilization. This work contributes to ensure water resources sustainable management in eco-socioeconomic nexus.",This work was supported by the National Key Research Program of China (2016YFC0502209) and the National Natural Science Foundation of China (51879007 and U20A20117). We would also like to express our gratitude to the editor and anonymous reviewers for their helpful and constructive comments on the manuscript.,,The Science of The Total Environment,,,Agriculture; Rivers; Water; Water Resources; Water Supply,2021-08-14,2021,2021-08-14,2021-12,801,,149639,Closed,Article,"Liang, Yanan; Cai, Yanpeng; Wang, Xuan; Li, Chunhui; Liu, Qiang","Liang, Yanan (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.); Cai, Yanpeng (Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China. Electronic address: yanpeng.cai@gdut.edu.cn.); Wang, Xuan (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.); Li, Chunhui (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.); Liu, Qiang (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.)","Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory)","Liang, Yanan (Beijing Normal University); Cai, Yanpeng (Guangdong University of Technology; Southern Marine Science and Engineering Guangdong Laboratory); Wang, Xuan (Beijing Normal University); Li, Chunhui (Beijing Normal University); Liu, Qiang (Beijing Normal University)",11,11,0.31,4.41,,https://app.dimensions.ai/details/publication/pub.1140409262,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4220,pub.1046574124,10.1016/j.scitotenv.2016.04.161,27161139,,Water accounting for stressed river basins based on water resources management models,"Water planning and the Integrated Water Resources Management (IWRM) represent the best way to help decision makers to identify and choose the most adequate alternatives among other possible ones. The System of Environmental-Economic Accounting for Water (SEEA-W) is displayed as a tool for the building of water balances in a river basin, providing a standard approach to achieve comparability of the results between different territories. The target of this paper is to present the building up of a tool that enables the combined use of hydrological models and water resources models to fill in the SEEA-W tables. At every step of the modelling chain, we are capable to build the asset accounts and the physical water supply and use tables according to SEEA-W approach along with an estimation of the water services costs. The case study is the Jucar River Basin District (RBD), located in the eastern part of the Iberian Peninsula in Spain which as in other many Mediterranean basins is currently water-stressed. To guide this work we have used PATRICAL model in combination with AQUATOOL Decision Support System (DSS). The results indicate that for the average year the total use of water in the district amounts to 15,143hm(3)/year, being the Total Water Renewable Water Resources 3909hm(3)/year. On the other hand, the water service costs in Jucar RBD amounts to 1634 million € per year at constant 2012 prices. It is noteworthy that 9% of these costs correspond to non-conventional resources, such as desalinated water, reused water and water transferred from other regions.","AcknowledgementsThe authors thank the anonymous reviewers for their valuable comments, suggestions and positive feedback. All remaining errors, however, are solely the responsibility of the authors. We would also like to express our gratitude to the Jucar River Basin Authority – Confederación Hidrográfica del Júcar (Spanish Ministry of Agriculture, Food and Environment) for providing data to develop this study. The authors wish to thank the Spanish Ministry of Economy and Competitiveness for its financial support through the NUTEGES project (CGL2012-34978). We also value the support provided by the European Community&#x27;s Seventh Framework Program in financing the projects ENHANCE (FP7-ENV-2012, 308438) and IMPREX (H2020-WATER-2014-2015, 641811).",,The Science of The Total Environment,,,,2016-05-07,2016,2016-05-07,2016-09,565,,181-190,All OA; Green,Article,"Pedro-Monzonís, María; Solera, Abel; Ferrer, Javier; Andreu, Joaquín; Estrela, Teodoro","Pedro-Monzonís, María (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain); Solera, Abel (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain); Ferrer, Javier (Confederación Hidrográfica del Júcar (CHJ) Jucar River Basin Authority, Valencia, Spain); Andreu, Joaquín (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain); Estrela, Teodoro (Confederación Hidrográfica del Júcar (CHJ) Jucar River Basin Authority, Valencia, Spain)","Pedro-Monzonís, María (Universitat Politècnica de València)","Pedro-Monzonís, María (Universitat Politècnica de València); Solera, Abel (Universitat Politècnica de València); Ferrer, Javier (Confederación Hidrográfica del Júcar (CHJ) Jucar River Basin Authority, Valencia, Spain); Andreu, Joaquín (Universitat Politècnica de València); Estrela, Teodoro (Confederación Hidrográfica del Júcar (CHJ) Jucar River Basin Authority, Valencia, Spain)",38,14,0.42,8.03,https://riunet.upv.es/bitstream/10251/94891/2/Water%20accounting%20Jucar.pdf,https://app.dimensions.ai/details/publication/pub.1046574124,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4216,pub.1167021103,10.1016/j.jenvman.2023.119789,38100860,,Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models,"The development of deep learning-based groundwater level forecast models can tackle the challenge of high dimensional groundwater dynamics, predict groundwater variation trends accurately, and manage groundwater resources effectively, thereby contributing to sustainable water resources management. This study proposed a novel ConvAE-LSTM model, which fused a Convolutional-based Autoencoder model (ConvAE) and a Long Short-Term Memory Neural Network model (LSTM), to provide accurate spatiotemporal groundwater level forecasts over the next three months. The HBV-light and LSTM models are chosen as benchmarks. An ensemble of point data and the corresponding derived images concerning the past (observations) and the future (forecasts from a conceptual model) of groundwater levels at 33 groundwater wells in Jhuoshuei River basin of Taiwan between 2000 and 2019 constituted the case study. The findings showcase the effectiveness of the ConvAE-LSTM model in extracting crucial features from both point and imagery datasets. This model successfully establishes spatiotemporal dependencies between regional images and groundwater level data over diverse time frames, leading to accurate multi-step-ahead forecasts of groundwater levels. Notably, the ConvAE-LSTM model exhibits a substantial improvement, with the R-squared values showing an increase of more than 18%, 22%, and 49% for the R1, R2, and R3 regions, respectively, compared to the HBV-light model. Additionally, it outperforms the LSTM model in this regard. This study represents a noteworthy milestone in environmental modeling, offering key insights for designing sustainable groundwater management strategies to ensure the long-term availability of this vital resource.","Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Fi-John Chang reports financial support was provided by National Science and Technology Council, Taiwan. Acknowledgement This study is supported by National Taiwan University (NTU–CC–112L893501) and the National Science and Technology Council, Taiwan (110-2313-B-002-034-MY3). The datasets provided by the Water Resources Agency of Taiwan are acknowledged. The authors would like to thank the Editors and anonymous Reviewers for their constructive comments that greatly contribute to enriching the manuscript.",,Journal of Environmental Management,,,"Groundwater; Water Resources; Neural Networks, Computer; Rivers; Taiwan",2023-12-14,2023,2023-12-14,2024-02,351,,119789,Closed,Article,"Kow, Pu-Yun; Liou, Jia-Yi; Sun, Wei; Chang, Li-Chiu; Chang, Fi-John","Kow, Pu-Yun (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan.); Liou, Jia-Yi (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan.); Sun, Wei (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan.); Chang, Li-Chiu (Department of Water Resources and Environmental Engineering, Tamkang University, New Taipei City, 25137, Taiwan.); Chang, Fi-John (Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan. Electronic address: changfj@ntu.edu.tw.)","Chang, Fi-John (National Taiwan University)","Kow, Pu-Yun (National Taiwan University); Liou, Jia-Yi (National Taiwan University); Sun, Wei (National Taiwan University); Chang, Li-Chiu (Tamkang University); Chang, Fi-John (National Taiwan University)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1167021103,37 Earth Sciences; 3707 Hydrology,11 Sustainable Cities and Communities
4215,pub.1144473292,10.1007/s10661-021-09726-3,34989874,,Does anthropogenic upstream water withdrawal impact on downstream land use and livelihood changes of Teesta transboundary river basin in Bangladesh?,"This article evaluates the impact of upstream water withdrawal on downstream land use and livelihood changes in the Teesta River basin, using a combination of geospatial and social data. Results show that water bodies gradually decreased, indicating a low volume of water discharge from upstream of the Teesta River basin due to the construction of several barrages. During the study period, a significant change in the area of water bodies was observed between 2012 and 2016, from 881 to 1123 Ha, respectively. The cropland area increased because farmers changed their cropping practice due to water scarcity and floods. Trend analyses of riverbank erosion and accretion patterns suggest an increase in accretion rates compared to the rate of riverbank erosion. A household survey was conducted using a self-administered questionnaire where 450 respondents have participated (farmers: 200 and fishermen: 250). Survey results show that most of the farmers (65.5%) and fishermen (76.8%) think that the construction of upstream barrages caused harm to them. The majority of farmers and fishermen feel water scarcity, mainly in the dry season. We found that a large number of participants in the study area are willing to change their occupations. Furthermore, participants observed that many local people are migrating or willing to migrate to other places nowadays. Our study also found that farmers who face water scarcity in their area are more likely to change their location than their counterparts, while those who face problems in their cultivation are less likely to move. On the other hand, upstream barrages, fishing effects, and getting support in crisis significantly predict fishermen’s occupation changes. We believe our results provide essential information on the significance of transboundary water-sharing treaties, sustainable water resource management, and planning.",,,Environmental Monitoring and Assessment,,,Bangladesh; Environmental Monitoring; Humans; Hunting; Rivers; Water,2022-01-06,2022,2022-01-06,2022-02,194,2,59,Closed,Article,"Ahmed, Zia; Alam, Rafiul; Ahmed, Mufti Nadimul Quamar; Ambinakudige, Shrinidhi; Almazroui, Mansour; Islam, M. Nazrul; Chowdhury, Piash; Kabir, Md. Najmul; Mahmud, Sakib","Ahmed, Zia (Department of Geography and Environment, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh); Alam, Rafiul (BRAC James P Grant School of Public Health, BRAC University, 1212, Dhaka, Bangladesh); Ahmed, Mufti Nadimul Quamar (Department of Applied Sociology and Social Work, North East University Bangladesh, Sylhet, Bangladesh); Ambinakudige, Shrinidhi (Department of Geosciences, Mississippi State University, Starkville, MS-39762, USA); Almazroui, Mansour (Centre of Excellence for Climate Change Research/Department of Meteorology, King Abdulaziz University, 21589, Jeddah, Saudi Arabia; Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK); Islam, M. Nazrul (Centre of Excellence for Climate Change Research/Department of Meteorology, King Abdulaziz University, 21589, Jeddah, Saudi Arabia); Chowdhury, Piash (Department of Geography and Environment, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh); Kabir, Md. Najmul (Department of Geography and Environment, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh); Mahmud, Sakib (Department of Economics, Shahjalal University of Science & Technology, Sylhet-3114, Bangladesh)","Ahmed, Zia (Shahjalal University of Science and Technology)","Ahmed, Zia (Shahjalal University of Science and Technology); Alam, Rafiul (BRAC University); Ahmed, Mufti Nadimul Quamar (North East University); Ambinakudige, Shrinidhi (Mississippi State University); Almazroui, Mansour (King Abdulaziz University; University of East Anglia); Islam, M. Nazrul (King Abdulaziz University); Chowdhury, Piash (Shahjalal University of Science and Technology); Kabir, Md. Najmul (Shahjalal University of Science and Technology); Mahmud, Sakib (Shahjalal University of Science and Technology)",7,7,0.74,5.96,,https://app.dimensions.ai/details/publication/pub.1144473292,37 Earth Sciences; 3704 Geoinformatics,15 Life on Land; 6 Clean Water and Sanitation
4211,pub.1126105937,10.1016/j.jenvman.2020.110516,32250922,,"Conceptualizing alternate regimes in a large floodplain-river ecosystem: Water clarity, invasive fish, and floodplain vegetation","Regime shifts - persistent changes in the structure and function of an ecosystem - are well-documented for some ecosystems and have informed research and management of these ecosystems. In floodplain-river ecosystems, there is growing interest from restoration practitioners in ecological resilience, yet regime shifts remain poorly understood in these ecosystems. To understand how regime shifts may apply to floodplain-river ecosystems, we synthesize our understanding of ecosystem dynamics using an alternate regimes conceptual framework. We present three plausible sets of alternate regimes relevant to natural resource management interests within the Upper Mississippi River and Illinois River. These alternate regimes include: 1) a clear water and abundant vegetation regime vs. a turbid water and sparse vegetation regime in lentic, off-channel areas, 2) a diverse native fish community regime vs. an invasive-dominated fish community regime, and 3) a regime characterized by a diverse and dynamic mosaic of floodplain vegetation types vs. one characterized as a persistent invasive wet meadow monoculture. For each set of potential alternate regimes, we review available literature to synthesize known or hypothesized feedback mechanisms that reinforce regimes, controlling variables that drive regime transitions, and current restoration pathways. Our conceptual models provide preliminary support for the existence of alternate regimes in floodplain-river ecosystems. Quantitatively testing hypotheses contained within the conceptual model are important next steps in evaluating the model. Ultimately, the synthesis and evaluation of alternate regimes can inform the utility of resilience concepts in restoration and management on the Upper Mississippi River and Illinois River and improve our understanding of ecosystem dynamics in other large, heavily managed floodplain-river ecosystems.","We thank the resilience working group members who have contributed to our understanding of the system and provided feedback on earlier drafts of this manuscript: Dave Bierman, Mark Cornish, Shawn Giblin, Jon Hendrickson, Dave Herzog, Ben Lubinski, Matt Mangan, Nate Richards, Sarah Schmuecker, Levi Solomon, Kirsten Wallace, and Stephen Winter. We also thank Jim Rogala and Megan Moore for additional manuscript review. We thank individuals who participated in a resilience workshop in January 2016 at which many of these conversations began. The work was funded as part of the U.S. Army Corps of Engineers&#x27; Upper Mississippi River Restoration Program as were many of the data sets used in our analyses. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.",,Journal of Environmental Management,,,Animals; Conservation of Natural Resources; Ecosystem; Fishes; Illinois; Introduced Species; Mississippi; Rivers; Water,2020-04-03,2020,2020-04-03,2020-06,264,,110516,Closed,Article,"Bouska, Kristen L.; Houser, Jeffrey N.; De Jager, Nathan R.; Drake, Deanne C.; Collins, Scott F.; Gibson-Reinemer, Daniel K.; Thomsen, Meredith A.","Bouska, Kristen L. (U.S. Geological Survey, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Road, La Crosse, WI, 54603, USA); Houser, Jeffrey N. (U.S. Geological Survey, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Road, La Crosse, WI, 54603, USA); De Jager, Nathan R. (U.S. Geological Survey, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Road, La Crosse, WI, 54603, USA); Drake, Deanne C. (Wisconsin Department of Natural Resources, La Crosse Field Station, 2630 Fanta Reed Road, La Crosse, WI, 54603, USA); Collins, Scott F. (Texas Tech University, 2500 Broadway, Lubbock, TX, 79409, USA; Illinois Natural History Survey, Kaskaskia Biological Station, 1235 CR 1000N, Sullivan, IL, 61951, USA); Gibson-Reinemer, Daniel K. (Adams State University, 208 Edgemont Boulevard, Alamosa, CO, 81101, USA; Illinois Natural History Survey, Illinois River Biological Station, 704 N. Schrader Avenue, Havana, IL, 62644, USA); Thomsen, Meredith A. (University of Wisconsin – La Crosse, 1725 State Street, La Crosse, WI, 54601, USA)","Bouska, Kristen L. (United States Geological Survey)","Bouska, Kristen L. (United States Geological Survey); Houser, Jeffrey N. (United States Geological Survey); De Jager, Nathan R. (United States Geological Survey); Drake, Deanne C. (Wisconsin Department of Natural Resources); Collins, Scott F. (Texas Tech University; Illinois Natural History Survey, Kaskaskia Biological Station, 1235 CR 1000N, Sullivan, IL, 61951, USA); Gibson-Reinemer, Daniel K. (Adams State University; Illinois Natural History Survey, Illinois River Biological Station, 704 N. Schrader Avenue, Havana, IL, 62644, USA); Thomsen, Meredith A. (University of Wisconsin–La Crosse)",13,8,0.43,2.41,,https://app.dimensions.ai/details/publication/pub.1126105937,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,
4207,pub.1137465581,10.1016/j.jenvman.2021.112588,33901833,,"Refined water security assessment for sustainable water management: A case study of 15 key cities in the Yangtze River Delta, China","Water security represents ecological security and a policy priority for sustainable development; however, un-gridded assessment results cannot be used to support urban environmental management decisions. This study proposes a systematic framework to obtain a gridded regional water security assessment, which reflects the regional natural resource, based on the index system derived from the Pressure-State-Response (PSR) model and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The results were applied to sustainable water management. Using 15 key cities in the Yangtze River Delta (YRD) region as a case study to apply the methodology, we found that the comprehensive water security was relatively high and high-value areas were widely distributed, accounting for about two-thirds of the study area. Low-value areas were mainly distributed in central and eastern regions, such as Shanghai, Suzhou, and Nanjing. There was evidence of a water resource shortage during the twelve-month period studied, particularly in August. The proportions of comprehensive water security in each administrative unit and the differences between simulated and target water quality could be used in the spatial planning and the exploration of payments for ecosystem services (PES) mechanism in county-level or smaller administrative units. Despite the premise requirement and the grid resolution problems of the InVEST model, it can be concluded that our assessment method proves capable of matching spatial and temporal differences in water supply and demand at a fine scale, and results can be used to supply useful information for urban management decision making.","This work was supported by National Key Research and Development Plan of China (2016YFC0502704), National Natural Science Foundation of China (42001210, 31972951, 31670645, 41801182, and 41807502), National Social Science Foundation of China (17ZDA058), the Ningbo Municipal Department of ST (2019C10056).",,Journal of Environmental Management,,,China; Cities; Conservation of Natural Resources; Ecosystem; Rivers; Water; Water Supply,2021-04-24,2021,2021-04-24,2021-07,290,,112588,All OA; Green,Article,"Dou, Panfeng; Zuo, Shudi; Ren, Yin; Rodriguez, Manuel J; Dai, Shaoqing","Dou, Panfeng (Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China.); Zuo, Shudi (Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China. Electronic address: sdzuo@iue.ac.cn.); Ren, Yin (Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Ningbo Urban Environment Observation and Research Station-NUEORS, Chinese Academy of Sciences, Ningbo, 315800, China. Electronic address: yren@iue.ac.cn.); Rodriguez, Manuel J (École Supérieure d'Aménagement du Territoire et de Développement Régional, Université Laval, Québec, G1V 0A6, Canada.); Dai, Shaoqing (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500AE, Enschede, the Netherlands.)","Zuo, Shudi (Institute of Urban Environment); Ren, Yin (Institute of Urban Environment; Chinese Academy of Sciences)","Dou, Panfeng (Institute of Urban Environment; University of Chinese Academy of Sciences); Zuo, Shudi (Institute of Urban Environment); Ren, Yin (Institute of Urban Environment; Chinese Academy of Sciences); Rodriguez, Manuel J (Université Laval); Dai, Shaoqing (University of Twente)",28,25,0.78,7.66,https://research.utwente.nl/files/269506937/1_s2.0_S0301479721006502_main.pdf,https://app.dimensions.ai/details/publication/pub.1137465581,37 Earth Sciences; 38 Economics; 41 Environmental Sciences; 4104 Environmental Management,11 Sustainable Cities and Communities
4207,pub.1004011630,10.1080/10256016.2014.857317,24437989,,"Spatiotemporal patterns of stable isotopes and hydrochemistry in springs and river flow of the upper Karkheh River Basin, Iran","Karst springs of the Zagros Mountains contribute a significant amount to agricultural and human water demands of western and south-western Iran. For an adequate management of available water resources in semi-arid and arid regions, sufficient hydrological monitoring is needed, and hydro-chemical and isotope hydrological data provide important additional information. About 350 water samples were collected from precipitation, river water, and karst springs of the upper part of the Karkheh River Basin (20,895 km(2)) located between 33°35(') and 34°55(') North and 46°22(') and 49°10(') East with elevations ranging from 928 to 3563 m above sea level. Sampling was conducted in monthly time resolution from August 2011 to July 2012. All samples were analysed for hydro-chemical parameters (pH, electrical conductivity, and major ions) and stable isotopes (deuterium, oxygen-18). Isotope values of precipitation indicate a local meteoric water line (Zagros MWL δ(2)H=6.8 δ(18)O+10.1; R(2)=0.99) situated between the Mediterranean MWL and Global MWL. Spring and river water isotope values vary between-7.1 and-4.1 ‰, and-38 and-25 ‰ for δ(18)O and δ(2)H, respectively, responding to winter snowmelt and evaporation. This work implements stable isotopes and hydro-chemical information of springs and river water to understand hydrological and hydro-geological interrelations in karstic semi-arid areas and helps to improve the current water resources management practices of western Iran.","The authors also appreciate the help of Kamran Sohrabi, Afshar Bahrami, Komail Safaniya, Sajad Almasi, Shahin Heydari, Kazem Ghalkhanbaz, Kaveh Jarareh, and Osman Mohammadi during the field campaigns. Funding The authors gratefully acknowledge financial support from German-Iran Alumni network (GIAN) and German Academic Exchange Service (DAAD) for field visits to Iran for PK. The Ministry of Science, Research and Technology of Iran was paying a six-month visiting stipend to BGR for KO.",,Isotopes in Environmental and Health Studies,,,Deuterium; Hydrology; Iran; Natural Springs; Oxygen Isotopes; Rain; Rivers,2014-01-20,2014,2014-01-20,2014-04-03,50,2,169-183,Closed,Article,"Osati, Khaled; Koeniger, Paul; Salajegheh, Ali; Mahdavi, Mohammad; Chapi, Kamran; Malekian, Arash","Osati, Khaled (College of Natural Resources, University of Kurdistan, Sanandaj, Iran); Koeniger, Paul (Federal Institute for Geosciences and Natural Resources (BGR), Geozentrum Hannover, Hannover, Germany); Salajegheh, Ali (Faculty of Natural Resources, University of Tehran, Karaj, Iran); Mahdavi, Mohammad (Faculty of Natural Resources, University of Tehran, Karaj, Iran); Chapi, Kamran (College of Natural Resources, University of Kurdistan, Sanandaj, Iran); Malekian, Arash (Faculty of Natural Resources, University of Tehran, Karaj, Iran)","Koeniger, Paul (Federal Institute for Geosciences and Natural Resources)","Osati, Khaled (University of Kurdistan); Koeniger, Paul (Federal Institute for Geosciences and Natural Resources); Salajegheh, Ali (University of Tehran); Mahdavi, Mohammad (University of Tehran); Chapi, Kamran (University of Kurdistan); Malekian, Arash (University of Tehran)",19,4,0.22,1.98,,https://app.dimensions.ai/details/publication/pub.1004011630,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,6 Clean Water and Sanitation
4198,pub.1131747004,10.1002/ieam.4356,33058386,,Risk Assessment of Water Quantity and Quality Stressors to Balance the Use and Protection of Vulnerable Water Resources,"In developing regions of the world, valuable and vulnerable water resources are being used excessively. Through water resource development, multiple water quality, flow, and other stressors threaten the sustainable use and protection of these resources. Few attempts have been made to evaluate the synergistic effects of multiple water quality and flow stressors to socioecological attributes of systems that we care about in integrated water resource management. Regional scale ecological risk assessments evaluate the probable negative effects of multiple stressors, affecting dynamic ecosystems on multiple spatial scales. The present study demonstrates how multiple water quality, flow, and other stressors that cumulatively affect the sustainability of the lower Thukela River, South Africa, can be evaluated using the relative risk model, Bayesian network (RRM-BN) approach. This risk assessment facilitated the establishment of minimum water quality and flow requirements to maintain the sustainability of this system and make water resource use and protection trade-off decisions. In this case study, the risk of 10 water resources use and protection scenarios were evaluated in a regional scale ecological risk assessment of the socioecological attributes of the lower Thukela River. In addition we evaluated the consequences associated with these scenarios based on risk pathways of multiple sources, stressors, and receptors to endpoints that represent the sustainable vision of multiple stakeholders of the system. The outcomes of the present study have contributed to new evidence to improve the water resource use efficiency and protect important resources of the lower Thukela River, to ensure sustainability. Integr Environ Assess Manag 2021;17:110-130. © 2020 SETAC.",Acknowledgment The authors would like to acknowledge the data provided and financial support for this research from the Sappi Tugela Pulp and Paper Mill and the National Research Foundation of South Africa&#x27;s BRICS multilateral joint science and technology research collaboration through the global and local water quality monitoring by multimodal sensor systems project. We also greatly appreciate the constructive comments of the reviewers of the manuscript that has improved the product considerably.,,Integrated Environmental Assessment and Management,,,Bayes Theorem; Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Risk Assessment; South Africa; Water; Water Quality; Water Resources,2020-12-03,2020,2020-12-03,2021-01,17,1,110-130,Closed,Article,"Wade, Melissa; O'Brien, Gordon C; Wepener, Victor; Jewitt, Graham","Wade, Melissa (College of Agriculture, Engineering and Science, University of KwaZulu‐Natal, Scottsville, South Africa); O'Brien, Gordon C (School of Biology and Environmental Sciences, Faculty of Agriculture and Natural Sciences, University of Mpumalanga, Nelspruit, South Africa); Wepener, Victor (Unit for Environmental Sciences and Management, Water Research Group, North‐West University, Potchefstroom, South Africa); Jewitt, Graham (IHE Delft Institute for Water Education, Delft, South Holland, the Netherlands)","O'Brien, Gordon C (University of Mpumalanga)","Wade, Melissa (University of KwaZulu-Natal); O'Brien, Gordon C (University of Mpumalanga); Wepener, Victor (North-West University); Jewitt, Graham (IHE Delft Institute for Water Education)",20,12,1.33,3.75,,https://app.dimensions.ai/details/publication/pub.1131747004,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4197,pub.1148653288,10.1007/s00267-022-01662-3,35699739,PMC9252940,"Ecological Sustainability Assessment of Water Distribution for the Maintenance of Ecosystems, their Services and Biodiversity","Water provision and distribution are subject to conflicts between users worldwide, with agriculture as a major driver of discords. Water sensitive ecosystems and their services are often impaired by man-made water shortage. Nevertheless, they are not sufficiently included in sustainability or risk assessments and neglected when it comes to distribution of available water resources. The herein presented contribution to the Sustainable Development Goals Clean Water and Sanitation (SDG 6) and Life on Land (SDG 15) is the Ecological Sustainability Assessment of Water distribution (ESAW-tool). The ESAW-tool introduces a watershed sustainability assessment that evaluates the sustainability of the water supply-demand ratio on basin level, where domestic water use and the water requirements of ecosystems are considered as most important water users. An ecological risk assessment estimates potential impacts of agricultural depletion of renewable water resources on (ground)water-dependent ecosystems. The ESAW-tool works in standard GIS applications and is applicable in basins worldwide with a set of broadly available input data. The ESAW-tool is tested in the Danube river basin through combination of high-resolution hydro-agroecological model data (hydrological land surface process model PROMET and groundwater model OpenGeoSys) and further freely available data (water use, biodiversity and wetlands maps). Based on the results, measures for more sustainable water management can be deduced, such as increase of rainfed agriculture near vulnerable ecosystems or change of certain crops. The tool can support decision making of authorities from local to national level as well as private enterprises who want to improve the sustainability of their supply chains.","The authors acknowledge the German Federal Ministry of Education and Research (BMBF) for funding this research. The authors thank the entire ViWA project team for supportive discussions. Further thanks go to Rohini Kumar, Oldrich Rakovec, Luis Samaniego and Stephan Thober from the UfZ Leipzig who provided hydrological data from the mHM model with which we could test our indicators. We also thank Alwin Henschel and Mareike Plinke for their assistance in the implementation of the GIS models. Finally, we thank Jürgen Böttcher from the Institute of Soil Science, Leibniz University Hannover, for his support in questions on soil-water characteristics.",The research of the authors is funded by the German Federal Ministry of Education and Research (BMBF) (grant number 02WGR1423D). Open Access funding enabled and organized by Projekt DEAL.,Environmental Management,,,Agriculture; Biodiversity; Conservation of Natural Resources; Ecosystem; Humans; Water; Water Resources,2022-06-14,2022,2022-06-14,2022-08,70,2,329-349,All OA; Hybrid,Article,"Schlattmann, Anna; Neuendorf, Felix; Burkhard, Kremena; Probst, Elisabeth; Pujades, Estanislao; Mauser, Wolfram; Attinger, Sabine; von Haaren, Christina","Schlattmann, Anna (Institute of Environmental Planning, Leibniz University Hannover, Herrenhaeuserstr. 2, 30419, Hannover, Germany); Neuendorf, Felix (Institute of Environmental Planning, Leibniz University Hannover, Herrenhaeuserstr. 2, 30419, Hannover, Germany); Burkhard, Kremena (Institute of Environmental Planning, Leibniz University Hannover, Herrenhaeuserstr. 2, 30419, Hannover, Germany); Probst, Elisabeth (Department of Geography, Ludwig-Maximilians-Universität München, Luisenstr. 37, 80333, München, Germany); Pujades, Estanislao (Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318, Leipzig, Germany); Mauser, Wolfram (Department of Geography, Ludwig-Maximilians-Universität München, Luisenstr. 37, 80333, München, Germany); Attinger, Sabine (Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Permoserstr. 15, 04318, Leipzig, Germany); von Haaren, Christina (Institute of Environmental Planning, Leibniz University Hannover, Herrenhaeuserstr. 2, 30419, Hannover, Germany)","Schlattmann, Anna (Leibniz University Hannover)","Schlattmann, Anna (Leibniz University Hannover); Neuendorf, Felix (Leibniz University Hannover); Burkhard, Kremena (Leibniz University Hannover); Probst, Elisabeth (Ludwig-Maximilians-Universität München); Pujades, Estanislao (Helmholtz Centre for Environmental Research); Mauser, Wolfram (Ludwig-Maximilians-Universität München); Attinger, Sabine (Helmholtz Centre for Environmental Research); von Haaren, Christina (Leibniz University Hannover)",2,2,,1.25,https://link.springer.com/content/pdf/10.1007/s00267-022-01662-3.pdf,https://app.dimensions.ai/details/publication/pub.1148653288,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,13 Climate Action; 15 Life on Land; 6 Clean Water and Sanitation
4197,pub.1025180457,10.1016/j.jenvman.2014.05.037,25103337,,Measuring environmental efficiency of agricultural water use: A Luenberger environmental indicator,"Irrigated agriculture creates substantial environmental pressures by withdrawing large quantities of water, leaving rivers and wetlands empty and unable to support the valuable ecosystems that depend on the water resource. The key challenge facing society is that of balancing water extractions for agricultural production and other uses with provision of appropriate environmental flow to maintain healthy rivers and wetlands. Measuring tradeoffs between economic gain of water use in agriculture and its environmental pressures can contribute to constructing policy instruments for improved water resource management. The aim of this paper is to develop a modelling framework to measure these tradeoffs. Using a new approach - Luenberger environmental indicator - the study derives environmental efficiency scores for various types of irrigation enterprises across seventeen natural resource management regions within the Murray-Darling Basin, Australia. Findings show that there is a substantial variation in environmental performance of irrigation enterprises across the regions. Some enterprises were found to be relatively environmentally efficient in some regions, but they were not efficient in others. The environmental efficiency scores could be used as a guideline for formulating regional policy and strategy to achieve sustainable water use in the agricultural sector.",,,Journal of Environmental Management,,,"Agricultural Irrigation; Australia; Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Models, Theoretical; Water Resources; Water Supply; Wetlands",2014-08-05,2014,2014-08-05,2014-12,145,,314-320,Closed,Article,"Azad, A.S.; Ancev, Tihomir","Azad, A.S. (School of Economics, 206 Biomedical Building (C81), The University of Sydney, New South Wales 2006, Australia); Ancev, Tihomir (School of Economics, 217 Biomedical Building (C81), The University of Sydney, New South Wales 2006, Australia)","Azad, A.S. (The University of Sydney)","Azad, A.S. (The University of Sydney); Ancev, Tihomir (The University of Sydney)",66,18,0.99,21.62,,https://app.dimensions.ai/details/publication/pub.1025180457,38 Economics; 3801 Applied Economics,2 Zero Hunger
4196,pub.1149958912,10.1038/s41598-022-17551-y,35922539,PMC9349210,Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin,"Hydrological modeling in the Third Pole remains challenging due to the complex topography and scarcity of in-situ precipitation observations. In this study, we assessed five satellite precipitation products (SPPs) including TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, and GSMaP, and simulated daily streamflow in the Yarlung Zangbo River Basin (YZRB) with VIC model. The performance of SPPs was evaluated by CC, RB, RMSE, POD and FAR, to compare with daily observations. Overall, all SPPs showed decreasing trends of precipitation from east to west compared to 10 km rainfall data. PERSIANN had the highest values of POD (0.65), RB (91.6%) and FAR (0.59) but worst performed in streamflow. CMORPH, GPM and TRMM fit well with the observations annually but overestimate the precipitation in the southeast during wet seasons. Simulation from GPM and CMORPH yield satisfactory results (NSE of 0.86 and 0.82, RE of − 20% and − 13%, respectively), while TRMM outperformed GPM in modeling runoff with smaller relative error. Results indicated the potential of GPM and CMORPH in providing alternative rainfall information in YZRB. Accurate evaluation of multi-source SPPs and their hydrological utility in YZRB would benefit further hydrometeorological studies and water resources management in this area.","We thank Dr. Yu Shi and Dr. Qing He from Beijing Normal University, Dr. Qiudong Zhao from the Northwest Institute of Eco-Environment and Resources, CAS for providing the advice in program writing. Many thanks to Dr. Lishan Ran and anonymous reviewers for the valuable comments.",This work was supported by the National Natural Science Foundation of China (51779006).,Scientific Reports,,,Hydrology; Rain; Rivers; Seasons; Water Resources,2022-08-03,2022,2022-08-03,,12,1,13334,All OA; Gold,Article,"Ji, Haoyu; Peng, Dingzhi; Gu, Yu; Liang, Yaqi; Luo, Xiaoyu","Ji, Haoyu (College of Water Sciences, Beijing Normal University, 100875, Beijing, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Peng, Dingzhi (College of Water Sciences, Beijing Normal University, 100875, Beijing, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Gu, Yu (College of Water Sciences, Beijing Normal University, 100875, Beijing, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Liang, Yaqi (College of Water Sciences, Beijing Normal University, 100875, Beijing, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Luo, Xiaoyu (College of Water Sciences, Beijing Normal University, 100875, Beijing, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China)","Peng, Dingzhi (Beijing Normal University; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China)","Ji, Haoyu (Beijing Normal University; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Peng, Dingzhi (Beijing Normal University; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Gu, Yu (Beijing Normal University; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Liang, Yaqi (Beijing Normal University; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China); Luo, Xiaoyu (Beijing Normal University; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, 100875, Beijing, China)",14,14,0.62,6.69,https://www.nature.com/articles/s41598-022-17551-y.pdf,https://app.dimensions.ai/details/publication/pub.1149958912,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
4194,pub.1132661406,10.1016/j.watres.2020.116651,33248332,,Long-term river invertebrate community responses to groundwater and surface water management operations,"River flow regimes have been transformed by groundwater and surface water management operations globally, prompting widespread ecological responses. Yet, empirical evidence quantifying the simultaneous effects of groundwater and surface water management operations on freshwater ecosystems remains limited. This study combines a multi-decadal freshwater invertebrate dataset (1995-2016) with groundwater model outputs simulating the effects of different anthropogenic flow alterations (e.g. groundwater abstraction, effluent water returns) and river discharges. A suite of flow alteration- and flow-ecology relationships were modelled that tested different invertebrate community responses (taxonomic, functional, flow response guilds, individual taxa). Most flow alteration-ecology relationships were not statistically significant, highlighting the absence of consistent, detectable ecological responses to long-term water management operations. A small number of significant statistical models provided insights into how flow alterations transformed specific ecological assets; including Ephemeroptera, Plecoptera and Trichoptera taxa which are rheophilic in nature being positively associated with groundwater abstraction effects reducing river discharges by 0-15%. This represents a key finding from a water resource management operation perspective given that such flow alteration conditions were observed on average in over two-thirds of the study sites examined. In a small number of instances, specific invertebrate responses displayed relative declines associated with the most severe groundwater abstraction effects and artificial hydrological inputs (predominantly effluent water returns). The strongest flow-ecology relationships were recorded during spring months, when invertebrate communities were most responsive to antecedent minimum and maximum discharges, and average flow conditions in the preceding summer months. Results from this study provide new evidence indicating how groundwater and surface water resources can be managed to conserve riverine ecological assets. Moreover, the ensemble of flow alteration- and flow-ecology relationships established in this study could be used to guide environmental flow strategies. Such findings are of global importance given that future climatic change and rising societal water demands are likely to further transform river flow regimes and threaten freshwater ecosystems.","Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work was supported by the Natural Environment Research Council (NERC) (grant number NE/L002493/1) and JCW acknowledges the support of Research Studentship Award from Central England NERC Training Alliance (CENTA), as well as additional funding from Wessex Water. The views expressed in this paper are those of the authors and not necessarily those of Wessex Water plc. Thanks are extended to Rob Soley and Jon Mainhagu for their detailed inputs on using the Wessex Basin groundwater model. We would like to express our thanks to Phillipe Usseglio‐Polatera for the provision of the functional traits database. We would also like to express our gratitude to two anonymous reviewers for their co nstructive comments which have greatly improved the clarity and presentation of the study outcomes. Finally, our thanks are extended to Jonathan Wheatland for designing the graphical abstract. Funding Information Central England NERC Training Alliance, Natural Environment Research Council (NERC). Grant Number: NE/L002493/1 Wessex Water.","Central England NERC Training Alliance, Natural Environment Research Council (NERC). Grant Number: NE/L002493/1 Wessex Water.",Water Research,,,Animals; Ecosystem; Groundwater; Invertebrates; Rivers; Water; Water Supply,2020-11-16,2020,2020-11-16,2021-02,189,,116651,All OA; Hybrid,Article,"White, J.C.; Fornaroli, R.; Hill, M.J.; Hannah, D.M.; House, A.; Colley, I.; Perkins, M.; Wood, P.J.","White, J.C. (River Restoration Centre, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK; Centre for Hydrological and Ecosystem Science, Geography and Environment, Loughborough University, Loughborough, Leicestershire, LE11 3TU, United Kingdom); Fornaroli, R. (DISAT, Università degli Studi di Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, Italy); Hill, M.J. (School of Applied Sciences University of Huddersfield, Huddersfield, HD1 3DH, UK); Hannah, D.M. (School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom); House, A. (Wessex Water, Claverton, Bath, BA2 7WW, United Kingdom); Colley, I. (Wessex Water, Claverton, Bath, BA2 7WW, United Kingdom); Perkins, M. (Environment Agency, Rivers House, Sunrise Business Park, Blandford, Dorset DT11 8ST, United Kingdom); Wood, P.J. (Centre for Hydrological and Ecosystem Science, Geography and Environment, Loughborough University, Loughborough, Leicestershire, LE11 3TU, United Kingdom)","White, J.C. (Cranfield University; Loughborough University)","White, J.C. (Cranfield University; Loughborough University); Fornaroli, R. (University of Milano-Bicocca); Hill, M.J. (University of Huddersfield); Hannah, D.M. (University of Birmingham); House, A. (YTL (United Kingdom)); Colley, I. (YTL (United Kingdom)); Perkins, M. (Environment Agency); Wood, P.J. (Loughborough University)",14,12,0.37,3.23,https://doi.org/10.1016/j.watres.2020.116651,https://app.dimensions.ai/details/publication/pub.1132661406,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4193,pub.1043090089,10.1007/s11356-015-4311-3,25822841,,"Calculation of permissible load capacity and establishment of total amount control in the Wujin River Catchment—a tributary of Taihu Lake, China","The deterioration of water quality in Taihu Lake, China, has caused widespread concern in recent years. The primary pollution sources of Taihu Lake are its inflow rivers. Effective environmental water management strategies need to be implemented in these rivers to improve the water quality of Taihu Lake and to promote sustainable development in the region. In this study, the QUAL2K model is used in conjunction with the trial and error approach to assess permissible load capacities for the Wujin River (a major tributary of Taihu Lake) in terms of COD, NH3-N, TN, and TP. Results show that permissible annual loads for these pollutants are 5216.31, 491.71, 948.53, and 104.38 t, respectively. This suggests that COD, NH3-N, TN, and TP loads in the Wujin River catchment need to be reduced by 13.35, 27.26, 47.75, and 37.08 %, respectively, to satisfy national water quality objectives. Total amount control measures are proposed to control and reduce pollution loads of the Wujin River catchment. The method applied in this study should provide a sound basis for water environmental management decision-making.","This research was supported by the Natural Science Foundation of Jiangsu Province (Grant No. BK20140603), the State Water Pollution Control and Treatment Technique Program of China (Grant Nos. 2012ZX07101006-05 and 2013ZX07101014-05), the Fundamental Research Funds for the Central Universities (Grant No. 20620140486).",,Environmental Science and Pollution Research,,,"Biological Oxygen Demand Analysis; China; Conservation of Natural Resources; Lakes; Nitrogen; Phosphorus; Rivers; Water Pollutants, Chemical; Water Quality",2015-03-31,2015,2015-03-31,2015-08,22,15,11493-11503,Closed,Article,"Zhang, Ruibin; Gao, Hailong; Zhu, Wenting; Hu, Wei; Ye, Rui","Zhang, Ruibin (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023, Nanjing, People’s Republic of China); Gao, Hailong (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023, Nanjing, People’s Republic of China); Zhu, Wenting (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023, Nanjing, People’s Republic of China); Hu, Wei (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023, Nanjing, People’s Republic of China); Ye, Rui (State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 210023, Nanjing, People’s Republic of China)","Zhang, Ruibin (Nanjing University)","Zhang, Ruibin (Nanjing University); Gao, Hailong (Nanjing University); Zhu, Wenting (Nanjing University); Hu, Wei (Nanjing University); Ye, Rui (Nanjing University)",20,5,0.48,2.39,,https://app.dimensions.ai/details/publication/pub.1043090089,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4193,pub.1170469288,10.1016/j.jenvman.2024.120777,38581893,,Analysis of dissolved oxygen influencing factors and concentration prediction using input variable selection technique: A hybrid machine learning approach,"Accurate quantification of dissolved oxygen (DO) is critically important for the protection and management of aquatic ecosystems. Successful applications have utilized mechanistic and data-driven models to simulate DO content in aquatic ecosystems. However, mechanistic models present challenges due to their complex and difficult-to-solve conditions, making them less portable. Additionally, data-driven model predictions are hindered by the challenge of numerous input variables, impacting both the running speed and prediction performance of the model. To address these challenges, water quality data and meteorological data of the Tanjiang River were obtained. The maximum information coefficient (MIC) input variable selection technique was employed to identify primary environmental factors influencing DO changes. Furthermore, coupled with support vector regression (SVR), two models (SVR and MIC-SVR) were employed to estimate the DO concentration of the Tanjiang River, and the optimal model was established. The results indicated a shift in the primary pollution factor from ammonia nitrogen to total phosphorus after recent treatment in the Tanjiang River. In comparison with the SVR model, the root mean square error (RMSE) of the MIC-SVR model was reduced by 4.46%, and the Nash-efficiency coefficient (NSE) was improved by 45.85%. In addition, study of kernel function selection revealed that considering as many kernel functions as possible is necessary for improving the performance of the SVR model. Conclusively, the proposed MIC-SVR model serves as an effective tool to analyze the relationship between DO and environmental factors, identifying the primary causes of low DO, and accurately predict the DO concentration in the Tanjiang River (especially in its middle and lower reaches), thus providing a reference for governmental decision-making on water environmental protection and water resource management.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This work was supported by the key R D program of Guangdong Province (No. 2020B1111350001) and the National Key Research and Development Program of China (No. 2022YFC3202200).,,Journal of Environmental Management,,,,2024-04-05,2024,2024-04-05,2024-04,357,,120777,Closed,Article,"Liu, Wei; Lin, Shu; Li, Xiaobao; Li, Wenjing; Deng, Hong; Fang, Huaiyang; Li, Weijie","Liu, Wei (School of Environment and Energy, Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Resource Recycling, South China University of Technology, Guangzhou, 510006, China.); Lin, Shu (The Key Laboratory of Water and Air Pollution Control of Guangdong Province, State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510535, China.); Li, Xiaobao (The Key Laboratory of Water and Air Pollution Control of Guangdong Province, State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510535, China.); Li, Wenjing (The Key Laboratory of Water and Air Pollution Control of Guangdong Province, State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510535, China.); Deng, Hong (School of Environment and Energy, Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Resource Recycling, South China University of Technology, Guangzhou, 510006, China.); Fang, Huaiyang (The Key Laboratory of Water and Air Pollution Control of Guangdong Province, State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510535, China.); Li, Weijie (School of Environment and Energy, Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Resource Recycling, South China University of Technology, Guangzhou, 510006, China; The Key Laboratory of Water and Air Pollution Control of Guangdong Province, State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510535, China. Electronic address: liweijie@scies.org.)","Li, Weijie (South China University of Technology; South China Institute Of Environmental Sciences)","Liu, Wei (South China University of Technology); Lin, Shu (South China Institute Of Environmental Sciences); Li, Xiaobao (South China Institute Of Environmental Sciences); Li, Wenjing (South China Institute Of Environmental Sciences); Deng, Hong (South China University of Technology); Fang, Huaiyang (South China Institute Of Environmental Sciences); Li, Weijie (South China University of Technology; South China Institute Of Environmental Sciences)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1170469288,40 Engineering; 4004 Chemical Engineering; 41 Environmental Sciences,
4190,pub.1153366849,10.1038/s41598-022-21880-3,36470893,PMC9722794,Impacts of climate variability and land use on the blue and green water resources in a subtropical basin of China,"Water scarcity has become a global severe challenge over the past few decades. Quantifying the impact of climate variability and land use on water resource availability is crucial for integrated water resource management. Many studies have focused on blue water but ignored green water which is important in the terrestrial ecosystem, especially on different temporal scales. In this study, we selected the Shanmei Reservoir, the most import drinking water resource for a rapidly development city of Southeast China, as a case for analysis of these impacts for the entire basin. We adopted the Soil and Water Assessment Tool (SWAT) to investigate the spatial and temporal distributions of blue water (BW), green water flow (GWF) and green water storage (GWS) in the Shanmei Reservoir Basin (SRB). The results of the blue and green water components (BW and GW) revealed that SRB is dominated by BW, accounting for 52.6% of the total water resources, while GW accounted for 47.4%. There was an insignificant upward trend of BW and a significant upward trend of GWF, with a tendency rate of 1.125 mm a−1. Precipitation was the key factor affecting BW on annual and monthly scales. The GWF was more sensitive to temperature at both the annual and monthly scales. The GWS was significantly correlated with precipitation at the monthly scale, while insignificant correlation occurred at the annual scale. The spatial distribution of BW was largely dominated by precipitation, and land-use types led to the differentiation of GW. It indicates that the BW of paddy fields is greater than that of forests, while the GWS of forests is greater than that of orchards and rainfed croplands.",This work was supported by the National Natural Science Foundations of China (U22A20554).,,Scientific Reports,,,Water Resources; Ecosystem; Rivers; Climate Change; China; Water,2022-12-05,2022,2022-12-05,,12,1,20993,All OA; Gold,Article,"Liu, Meibing; Wang, Di; Chen, Xingwei; Chen, Ying; Gao, Lu; Deng, Haijun","Liu, Meibing (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, 350007, Fuzhou, China; School of Geographical Sciences, Fujian Normal University, No.8 Shangsan Rd, Cangshan District, 350007, Fuzhou, China); Wang, Di (School of Geographical Sciences, Fujian Normal University, No.8 Shangsan Rd, Cangshan District, 350007, Fuzhou, China); Chen, Xingwei (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, 350007, Fuzhou, China; School of Geographical Sciences, Fujian Normal University, No.8 Shangsan Rd, Cangshan District, 350007, Fuzhou, China); Chen, Ying (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, 350007, Fuzhou, China; School of Geographical Sciences, Fujian Normal University, No.8 Shangsan Rd, Cangshan District, 350007, Fuzhou, China); Gao, Lu (School of Geographical Sciences, Fujian Normal University, No.8 Shangsan Rd, Cangshan District, 350007, Fuzhou, China; Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fujian Normal University, 350007, Fuzhou, China); Deng, Haijun (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, 350007, Fuzhou, China; School of Geographical Sciences, Fujian Normal University, No.8 Shangsan Rd, Cangshan District, 350007, Fuzhou, China)","Liu, Meibing (Fujian Normal University; Fujian Normal University)","Liu, Meibing (Fujian Normal University; Fujian Normal University); Wang, Di (Fujian Normal University); Chen, Xingwei (Fujian Normal University; Fujian Normal University); Chen, Ying (Fujian Normal University; Fujian Normal University); Gao, Lu (Fujian Normal University; Fujian Normal University); Deng, Haijun (Fujian Normal University; Fujian Normal University)",4,4,0.19,2.29,https://www.nature.com/articles/s41598-022-21880-3.pdf,https://app.dimensions.ai/details/publication/pub.1153366849,37 Earth Sciences; 3701 Atmospheric Sciences; 3704 Geoinformatics; 3707 Hydrology,15 Life on Land; 6 Clean Water and Sanitation
4190,pub.1127720914,10.3390/ijerph17103521,32443477,PMC7277523,Simulation-Optimization for Conjunctive Water Resources Management and Optimal Crop Planning in Kushabhadra-Bhargavi River Delta of Eastern India,"Water resources sustainability is a worldwide concern because of climate variability, growing population, and excessive groundwater exploitation in order to meet freshwater demand. Addressing these conflicting challenges sometimes can be aided by using both simulation and mathematical optimization tools. This study combines a groundwater-flow simulation model and two optimization models to develop optimal reconnaissance-level water management strategies. For a given set of hydrologic and management constraints, both of the optimization models are applied to part of the Mahanadi River basin groundwater system, which is an important source of water supply in Odisha State, India. The first optimization model employs a calibrated groundwater simulation model (MODFLOW-2005, the U.S. Geological Survey modular ground-water model) within the Simulation-Optimization MOdeling System (SOMOS) module number 1 (SOMO1) to estimate maximum permissible groundwater extraction, subject to suitable constraints that protect the aquifer from seawater intrusion. The second optimization model uses linear programming optimization to: (a) optimize conjunctive allocation of surface water and groundwater and (b) to determine a cropping pattern that maximizes net annual returns from crop yields, without causing seawater intrusion. Together, the optimization models consider the weather seasons, and the suitability and variability of existing cultivable land, crops, and the hydrogeologic system better than the models that do not employ the distributed maximum groundwater pumping rates that will not induce seawater intrusion. The optimization outcomes suggest that minimizing agricultural rice cultivation (especially during the non-monsoon season) and increasing crop diversification would improve farmers' livelihoods and aid sustainable use of water resources.","The authors are very grateful to the staff of the Department of Agriculture, Puri, India Meteorological Department, Pune, Central Water Commission (CWC), Department of Hydrometry, Central Ground Water Board (CGWB), Ground Water Survey and Investigation (GWS&amp;I), Odisha Lift Irrigation Corporation (OLIC), and Rural Water Supply and Sanitation (RWSS), Bhubaneswar, Odisha for providing necessary data required for this study. This research was supported by the Utah Agricultural Experiment Station, Utah State University, and approved as journal paper number UAES #9244.",Utah Agricultural Experiment Station: UAES Project 1396.,International Journal of Environmental Research and Public Health,,,"Groundwater; India; Models, Theoretical; Rivers; Water; Water Resources; Water Supply",2020-05-01,2020,2020-05-18,2020-05-01,17,10,3521,All OA; Gold,Article,"Jha, Madan K.; Peralta, Richard C.; Sahoo, Sasmita","Jha, Madan K. (Agricultural & Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur-721 302, India;, sasmitaiit@gmail.com); Peralta, Richard C. (Civil and Environmental Engineering, Utah State University, Logan, UT 84322-4110, USA;, peralta.rc@gmail.com); Sahoo, Sasmita (Agricultural & Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur-721 302, India;, sasmitaiit@gmail.com)","Jha, Madan K. (Indian Institute of Technology Kharagpur)","Jha, Madan K. (Indian Institute of Technology Kharagpur); Peralta, Richard C. (Utah State University); Sahoo, Sasmita (Indian Institute of Technology Kharagpur)",9,4,,2.82,https://www.mdpi.com/1660-4601/17/10/3521/pdf,https://app.dimensions.ai/details/publication/pub.1127720914,37 Earth Sciences; 3705 Geology; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4185,pub.1128309884,10.1007/s10661-020-08371-6,32514793,,Decrease of both river flow and quality aggravates water crisis in North China: a typical example of the upper Yongding River watershed,"Due to unevenly distributed water resources, semi-arid regions are particularly prone to severe water shortage and quality degradation. In this study, based on long-term hydrological database (1935–2015), and the latest available water quality data sets (2011–2016), we analyzed the water crisis and its driving forces in the upper Yongding River watershed, a typical water shortage area in North China. The results showed that human induced excessive water consumption is responsible for the significantly decreased river flow over the past eight decades. Although the capacity of the watershed wastewater treatment has improved, current water quality does not meet the requirements of the national water management goals, because of the excessive nitrogen and CODCr (chemical oxygen demand), which mainly come from the wastewater and feedlots discharge. Due to the decreased river flow, current Yongding River is unable to dilute and assimilate pollutions. The analysis of river pollutant load illustrated that more than 60 % of the nitrogen in the river water system is diverted for reservoir storage, and more than 50 % of the CODCr and TP are diverted for irrigation, thereby, increasing the risk of reservoirs eutrophication and threatening food safety. Besides, the high Cl− (388.2 ± 322.5 mg/L) and SO42− (470.6 ± 357.7 mg/L) imply that the upper river water are not suitable for drinking and irrigation purposes, and a potential risk of salinization if the river flow continues to decrease. We conclude that water resources over extraction and quality degradation are the main driving factors of the Yongding River water crisis.",,This work was financially supported by the National Science and Technology Major Project-Water Pollution Control and Treatment (2018ZX07111002).,Environmental Monitoring and Assessment,,,"China; Environmental Monitoring; Humans; Nitrogen; Rivers; Water Movements; Water Pollutants, Chemical; Water Quality",2020-06-08,2020,2020-06-08,2020-07,192,7,421,Closed,Article,"Dai, Dan; Xu, Xiangqin; Sun, Mingdong; Hao, Chenlin; Lv, Xubo; Lei, Kun","Dai, Dan (College of Water Sciences, Beijing Normal University, 100875, Beijing, People’s Republic of China; State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012, Beijing, China); Xu, Xiangqin (State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012, Beijing, China); Sun, Mingdong (State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012, Beijing, China); Hao, Chenlin (State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012, Beijing, China); Lv, Xubo (State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012, Beijing, China); Lei, Kun (State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012, Beijing, China)","Lei, Kun (Chinese Research Academy of Environmental Sciences)","Dai, Dan (Beijing Normal University; Chinese Research Academy of Environmental Sciences); Xu, Xiangqin (Chinese Research Academy of Environmental Sciences); Sun, Mingdong (Chinese Research Academy of Environmental Sciences); Hao, Chenlin (Chinese Research Academy of Environmental Sciences); Lv, Xubo (Chinese Research Academy of Environmental Sciences); Lei, Kun (Chinese Research Academy of Environmental Sciences)",15,12,0.32,3.26,,https://app.dimensions.ai/details/publication/pub.1128309884,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4184,pub.1100813947,10.1016/j.scitotenv.2018.01.235,29426140,,Influence of technical maintenance measures on ecological status of agricultural lowland rivers – Systematic review and implications for river management,"Intensification of agriculture and ongoing urban sprawl exacerbate pressures on rivers. Small rivers in agricultural landscapes are especially exposed to excessive technical actions implemented in order to allow for harvesting river water for irrigation, draining agricultural water and receiving sewage. Regular dredging and macrophyte removal strongly interfere with the global need for preserving river biodiversity that allows agricultural lowland rivers to remain refuges for a variety of species, and-accordingly-to keep water bodies resilient for the benefit of society. In order to provide a comprehensive look at the influence of agricultural lowland river management on the ecological status of these water bodies, we conducted a literature review and a meta-analysis. For the structured literature review we selected 203 papers reflecting on the response of aquatic ecosystems to dredging and macrophyte management actions. The database of scientific contributions developed for our study consists of papers written by the authors from 33 countries (first authorship) addressing dredging, macrophyte removal, status of fish and macroinvertebrates as well as the general ecological status of lowland agricultural rivers. We revealed that 96% of the analyzed papers indicated unilateral, negative responses of aquatic ecosystems, particularly macroinvertebrates, ichthyofauna and macrophyte composition, to maintenance measures. We revealed that studies conducted in the European Union on the ecological status of rivers appeared to significantly increase in quantity after the implementation of the Water Framework Directive. Finally, we concluded that day-to-day management of lowland agricultural rivers requires revision in terms of compliance with environmental conservation requirements and the recurrent implementation of technical measures for river maintenance.","We wish to thank Bartłomiej Wyżga for thoughtful comments, edits and inspiring discussions that helped us to structure the paper and formulate its main conclusions. We also acknowledge three anonymous reviewers for thoughtful revisions and comments that greatly helped us to improve the manuscript.",,The Science of The Total Environment,,,Agriculture; Animals; Biodiversity; Conservation of Natural Resources; Ecology; Ecosystem; Environmental Monitoring; Rivers,2018-02-03,2018,2018-02-03,2018-06,627,,189-199,Closed,Article,"Bączyk, Anna; Wagner, Maciej; Okruszko, Tomasz; Grygoruk, Mateusz","Bączyk, Anna (Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences-SGGW, ul. Nowoursynowska 159, 02-776 Warsaw, Poland); Wagner, Maciej (Institute of Meteorology and Water Management, ul. Podleśna 3, 01-673 Warsaw, Poland); Okruszko, Tomasz (Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences-SGGW, ul. Nowoursynowska 159, 02-776 Warsaw, Poland); Grygoruk, Mateusz (Faculty of Civil and Environmental Engineering, Warsaw University of Life Sciences-SGGW, ul. Nowoursynowska 159, 02-776 Warsaw, Poland)","Grygoruk, Mateusz (Warsaw University of Life Sciences)","Bączyk, Anna (Warsaw University of Life Sciences); Wagner, Maciej (Institute of Meteorology and Water Management); Okruszko, Tomasz (Warsaw University of Life Sciences); Grygoruk, Mateusz (Warsaw University of Life Sciences)",49,25,1.13,8.0,,https://app.dimensions.ai/details/publication/pub.1100813947,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,
4183,pub.1135656824,10.1016/j.jenvman.2021.112212,33636628,,"Evaluation of water conservation function of Danjiang River Basin in Qinling Mountains, China based on InVEST model","With the shortage of water resources becoming a global concern, the water conservation function has become one of the most important service functions and the key factor in the sustainable development of watershed ecosystem. The Danjiang River Basin as an important source of water for the middle route of China's South-to-North Water Diversion Project, its water conservation function has attracted extensive public attention under global climate change. In this study, InVEST water yield model based on Budyko hydrological method was employed to analyze the spatio-temporal dynamics of water conservation, and the response of water conservation to climate, land use and soil changes for the period from 2000 to 2019. The results show that the water conservation of Danjiang River Basin tends to decrease under the comprehensive influence of various factors. The spatial analysis of the importance of water conservation identified Shangnan County, the southern part of Danfeng County and the northern part of Shanyang County as important water conservation areas in the study area, which should be regarded as the key and priority protection areas in the regional water resource and ecological protection. The study provides insights for sustainable water management and ecological protection policies, and the InVEST model with localized parameters can also be applied to other areas lacking climate, hydrological and geological data.","This study was jointly supported by the National Natural Science Foundation of China (Grant No. 51679200), the Key Research and Development Program of Shaanxi (Grant Nos. 2019ZDLSF05-02 and 2020SF-400) and Shaanxi Province Water Conservancy Science and Technology Project (Grant No. 2020slkj-13).",,Journal of Environmental Management,,,China; Conservation of Natural Resources; Conservation of Water Resources; Ecosystem; Hydrology; Rivers,2021-02-23,2021,2021-02-23,2021-05,286,,112212,All OA; Hybrid,Article,"Li, Mingyue; Liang, Dong; Xia, Jun; Song, Jinxi; Cheng, Dandong; Wu, Jintao; Cao, Yelin; Sun, Haotian; Li, Qi","Li, Mingyue (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: mingyueli@stumail.nwu.edu.c.); Liang, Dong (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: Liangdong@stumail.nwu.edu.cn.); Xia, Jun (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Research Institute for Water Security (RIWS), Wuhan University, Wuhan, 430072, China; Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. Electronic address: xiajun666@whu.edu.cn.); Song, Jinxi (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: jinxisong@nwu.edu.cn.); Cheng, Dandong (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: chengdandong@hotmail.com.); Wu, Jintao (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: wujintao@stumail.nwu.edu.cn.); Cao, Yelin (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: linyecao@stumail.nwu.edu.cn.); Sun, Haotian (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: sunhaotian@nwu.edu.cn.); Li, Qi (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China. Electronic address: qili726@163.com.)","Song, Jinxi (Northwest University); Cheng, Dandong (Northwest University)","Li, Mingyue (Northwest University); Liang, Dong (Northwest University); Xia, Jun (Northwest University; Wuhan University; Institute of Geographic Sciences and Natural Resources Research); Song, Jinxi (Northwest University); Cheng, Dandong (Northwest University); Wu, Jintao (Northwest University); Cao, Yelin (Northwest University); Sun, Haotian (Northwest University); Li, Qi (Northwest University)",145,132,4.5,56.12,http://manuscript.elsevier.com/S0301479721002747/pdf/S0301479721002747.pdf,https://app.dimensions.ai/details/publication/pub.1135656824,37 Earth Sciences; 3704 Geoinformatics; 38 Economics; 41 Environmental Sciences; 4104 Environmental Management,13 Climate Action; 15 Life on Land
4182,pub.1147021638,10.1016/j.scitotenv.2022.155227,35421504,,"Influence of permafrost and hydrogeology on seasonal and spatial variations in water chemistry of an alpine river in the northeastern Qinghai-Tibet Plateau, China","Known as the third pole of the world, the Qinghai-Tibet Plateau has been experiencing rapid permafrost warming and thawing over the last few decades. However, the impact of permafrost distribution and hydrogeology on river hydrochemistry in alpine areas remains unclear. This study conducted four sampling campaigns to reveal the temporal and spatial variations in and factors driving river hydrochemistry in the upper reaches of the Heihe River, the northeastern Qinghai-Tibet Plateau. We found that the concentrations of major ions and total dissolved solids (TDS) in river water showed substantial seasonal variations; the concentrations were generally lower during the initial thawing and thawed periods than during the initial freezing period. However, solute fluxes during the thawed period were much higher than those during the frozen period. The concentrations of major ions and TDS gradually decreased to a minimum from the permafrost meander (PM) section to the seasonal frost meander (SFM) section and then increased the seasonal frost canyon section. Using the revised forward model, we found that river solutes were contributed by carbonate weathering (mean 38.9%) > sulfide oxidation (22.9%) > evaporite dissolution (20.2%) > atmospheric precipitation (8.7%) > silicate weathering (5.0%) > glacial meltwater (4.3%). The higher TDS, Na+, Cl-, Ca2+, Mg2+, and SO42- concentrations in the PM section reflected the influence of freeze-out fractionation. The concentrations of major ions and TDS were lowest in the SFM section, indicating that the riparian porous aquifer was essential in regulating river hydrochemistry, thus reducing its spatiotemporal variations in the alpine area. In the mountain glacier-hillslope-riparian porous aquifer-river system, the river was mainly recharged by groundwater with insufficient water-rock interactions due to the rapid flow owing to the high elevation difference and high permeability of the riparian quaternary porous aquifers. Our findings provide insights into the construction of hydrogeochemical models in alpine areas and are practically important for the scientific management of water resources in the Qinghai-Tibet Plateau.",This research was financially supported by the National Natural Science Foundations of China (No. 41772270) and Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA20100103).,,The Science of The Total Environment,,,China; Permafrost; Rivers; Seasons; Solutions; Tibet; Water,2022-04-12,2022,2022-04-12,2022-08,834,,155227,Closed,Article,"Pan, Yanxi; Sun, Ziyong; Pan, Zhao; Zhang, Shuxun; Li, Xin; Ma, Rui","Pan, Yanxi (State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, Hubei, PR China.); Sun, Ziyong (State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, Hubei, PR China; School of Environmental Studies, China University of Geosciences, Wuhan 430078, Hubei, PR China. Electronic address: ziyong.sun@cug.edu.cn.); Pan, Zhao (State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, Hubei, PR China.); Zhang, Shuxun (State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, Hubei, PR China.); Li, Xin (State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, Hubei, PR China.); Ma, Rui (State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, Hubei, PR China; School of Environmental Studies, China University of Geosciences, Wuhan 430078, Hubei, PR China.)","Sun, Ziyong (China University of Geosciences)","Pan, Yanxi (China University of Geosciences); Sun, Ziyong (China University of Geosciences); Pan, Zhao (China University of Geosciences); Zhang, Shuxun (China University of Geosciences); Li, Xin (China University of Geosciences); Ma, Rui (China University of Geosciences)",10,10,2.22,4.84,,https://app.dimensions.ai/details/publication/pub.1147021638,37 Earth Sciences; 3709 Physical Geography and Environmental Geoscience,15 Life on Land
4181,pub.1134280192,10.1007/s10653-020-00783-0,33389458,,"Assessment of health risks and individuals’ willingness to participate in drinking water management at flood-prone Pahang River Basin, Malaysia","Rivers, the main source of the domestic water supply in Malaysia, have been threatened by frequent flooding in recent years. This study aims to assess human health risks associated with exposure to concentrated heavy metals in a flood-prone region of Malaysia and investigate the affected individuals’ willingness to participate in managing water resources. Hazard indices and cancer risks associated with water contamination by heavy metals have been assessed following the method prescribed by the US Environmental Protection Agency. Yearly data of heavy metal contamination (Cd, Cr, Pb, Zn, Fe), water quality parameters (DO, BOD, COD, pH), and climatic information (annual rainfall, annual temperature) have been collected from the Department of Environment and Meteorological Department of Malaysia, respectively. The inductively coupled plasma mass spectrometry technique has been used by the department of environment for analyzing heavy metal concentration in river water samples. In this study, data from a stratified random sample of households in the affected region were analyzed, using partial least squares structural equation modeling, to predict the link between individuals’ perceptions and attitudes about water resources and their willingness to engage in water management program. The health risk estimation indicated that the hazard index values were below the acceptable limit, representing no non-carcinogenic risk to adults and children residing in the study area via oral intake and dermal adsorption of water. However, the calculated value for cancer risk signified possible carcinogenic risks associated with Pb and Cd. In general, contamination due to pollution and flooding tends to increase in the basin region, and appropriate management is needed. The results identified perceived water quality as a significant factor influencing people's attitudes toward involvement in water management programs. As in many developing countries, there is no legal provision guaranteeing public representation in water management in Malaysia. The conclusion discusses the importance of these for the literature and for informing future policy actions.",We would like to thank all the people and organizations that contribute to this research and towards the completion of this article. This research has been conducted under the Pan-Asia Risk Reduction Fellowship Program offered by START and funded by the research projects provided by START and the Ministry of Higher Education of Malaysia through the research project code TRGS/1/2015/UKM/02/5/2. The authors are grateful to Ibnu Rusydy for his great help in producing study area map.,,Environmental Geochemistry and Health,,,"Adult; Attitude to Health; Child; Dietary Exposure; Drinking Water; Environmental Exposure; Floods; Humans; Malaysia; Metals, Heavy; Public Opinion; Risk Assessment; Rivers; Water Pollutants, Chemical; Water Quality; Water Supply",2021-01-02,2021,2021-01-02,2021-05,43,5,2049-2063,Closed,Article,"Alam, Lubna; Rahman, Labonnah Farzana; Ahmed, Minhaz Farid; Bari, Md. Azizul; Masud, Muhammad Mehedi; Mokhtar, Mazlin Bin","Alam, Lubna (Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, UKM, 43600, Bangi, Selangor, Malaysia); Rahman, Labonnah Farzana (Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, UKM, 43600, Bangi, Selangor, Malaysia); Ahmed, Minhaz Farid (Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, UKM, 43600, Bangi, Selangor, Malaysia); Bari, Md. Azizul (Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, UKM, 43600, Bangi, Selangor, Malaysia); Masud, Muhammad Mehedi (Faculty of Economics and Administration, University of Malaysia, 50603, Kuala Lumpur, Malaysia); Mokhtar, Mazlin Bin (Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, UKM, 43600, Bangi, Selangor, Malaysia)","Alam, Lubna (National University of Malaysia)","Alam, Lubna (National University of Malaysia); Rahman, Labonnah Farzana (National University of Malaysia); Ahmed, Minhaz Farid (National University of Malaysia); Bari, Md. Azizul (National University of Malaysia); Masud, Muhammad Mehedi (University of Malaya); Mokhtar, Mazlin Bin (National University of Malaysia)",4,4,0.36,1.04,,https://app.dimensions.ai/details/publication/pub.1134280192,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management; 4105 Pollution and Contamination,
4181,pub.1113856733,10.1007/s10661-019-7497-x,31044285,,Numerical quantification of current status quo and future prediction of water quality in eight Asian megacities: challenges and opportunities for sustainable water management,"Finite freshwater sources are facing huge threats both for quality and quantity from uncertain global changes, namely population growth, rapid urbanization, and climate change. These threats are even more prominent in developing countries where institutional capacity of decision-makers in the field of water resources is not sufficient. Attention of scientific communities to work on adaptation barriers is increasing as the need for global change adaptation becomes apparent. This paper presents a comparative study of assessing the current water quality as well as predicting its future situation using different scenarios in eight different cities of South and Southeast Asia. The idea behind this transdisciplinary work (integrated use of hydrological science, climate science, social science, and local policies) is to provide scientific evidence to decision-makers to help them to implement right management policies at timely manner. Water Evaluation and Planning (WEAP), a numerical simulation tool, was used to model river water quality using two scenarios, namely business as usual (BAU) and scenario with measures. Water quality simulation was done along one representative river from all eight cities. Simulated results for BAU scenario shows that water quality in all the study sites will further deteriorate by year 2030 compared to the current situation and will be not suitable for fishing category as desired by the local governments. Also, simulation outcome for scenario with measures advocating improvement of water quality compared to current situation signifies the importance of existing master plans. However, different measures (suggested upgradation of wastewater handling infrastructure) and policies will not be sufficient enough to achieve desirable river water quality as evident from the gap between concentration of simulated water quality and desirable water quality concentrations. This work can prove vital as it provides timely information to the decision-makers involved in keeping inventory for attaining SDG 6.0 in their regions and it also calls for immediate and inclusive action for better water resource management.","The author would like to acknowledge the Water and Urban Initiative (WUI) project of the Institute for the Advanced Study of Sustainability, United Nations University (UNU-IAS), Tokyo, Japan, for the financial and other logistic support in conducting this research.",,Environmental Monitoring and Assessment,,,Asia; Cities; Climate Change; Conservation of Water Resources; Environmental Monitoring; Hydrology; Rivers; Urbanization; Wastewater; Water Quality; Water Resources; Water Supply,2019-05-02,2019,2019-05-02,2019-06,191,6,319,Closed,Article,"Kumar, Pankaj","Kumar, Pankaj (Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa, Japan)","Kumar, Pankaj (Institute for Global Environmental Strategies)","Kumar, Pankaj (Institute for Global Environmental Strategies)",33,16,0.68,5.59,,https://app.dimensions.ai/details/publication/pub.1113856733,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4181,pub.1142419127,10.1007/s11356-021-17034-z,34743306,,"Elucidating competing strategic behaviors using prospect theory, system dynamics, and evolutionary game: a case of transjurisdictional water pollution problem in China","Water is a critical natural resource for socio-economic and environmental systems. In transjurisdictional river basins, when basin-wide water pollution management scheme is absent, stakeholders tend to adopt utility-maximizing behavior based on incomplete information. Such a scenario could lead to a free-riding problem. This paper attempts to elucidate the strategic behavior of riparian regions using prospect theory, evolutionary game, and system dynamics. The evolution of riparian regions’ strategic behaviors is explained, and the impacts of different factors on their strategic selections are simulated. The results showed that the prospective value of factors and stakeholders’ attitude to risk are a key for resolving transjurisdictional river water pollution problems. Improving the subjective judgment of the probability of water pollution, raising awareness, strengthening the penalties in “polluter pays” schemes, abandoning segmented river basin management, and building a basin-wide water management system are vital for maintaining the ecological integrity of any transjurisdictional river basin and accelerate the sustainable development of its riparian regions.",,"This work was supported by the National Natural Science Foundation of China (grant numbers 72104127, 71874101, and 72004116), the Ministry of Education (MOE) of China, Project of Humanities and Social Sciences (grant number 20YJCGJW009), and the Center for Reservoir Resettlement, China Three Gorges University (grant number 2021KFJJ02).",Environmental Science and Pollution Research,,,China; Game Theory; Prospective Studies; Rivers; Systems Theory; Water Pollution; Water Supply,2021-11-06,2021,2021-11-06,2022-03,29,14,20829-20843,Closed,Article,"Yuan, Liang; He, Weijun; Degefu, Dagmawi Mulugeta; Kong, Yang; Wu, Xia; Xu, Shasha; Wan, Zhongchi; Ramsey, Thomas Stephen","Yuan, Liang (College of Economics and Management, China Three Gorges University, 443002, Yichang, China); He, Weijun (College of Economics and Management, China Three Gorges University, 443002, Yichang, China); Degefu, Dagmawi Mulugeta (College of Economics and Management, China Three Gorges University, 443002, Yichang, China; Department of Architecture Science, Ryerson University, M5B 2K3, Toronto, ON, Canada); Kong, Yang (School of Business, Hohai University, 210098, Nanjing, China); Wu, Xia (College of Economics and Management, China Three Gorges University, 443002, Yichang, China; School of Law and Public Administration, China Three Gorges University, 443002, Yichang, China); Xu, Shasha (School of Business, Hohai University, 210098, Nanjing, China); Wan, Zhongchi (College of Economics and Management, China Three Gorges University, 443002, Yichang, China); Ramsey, Thomas Stephen (College of Economics and Management, China Three Gorges University, 443002, Yichang, China)","Kong, Yang (Hohai University)","Yuan, Liang (China Three Gorges University); He, Weijun (China Three Gorges University); Degefu, Dagmawi Mulugeta (China Three Gorges University; Toronto Metropolitan University); Kong, Yang (Hohai University); Wu, Xia (China Three Gorges University; China Three Gorges University); Xu, Shasha (Hohai University); Wan, Zhongchi (China Three Gorges University); Ramsey, Thomas Stephen (China Three Gorges University)",18,18,0.52,7.22,,https://app.dimensions.ai/details/publication/pub.1142419127,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,
4179,pub.1169186206,10.1038/s41598-024-53604-0,38409175,PMC10897139,"The multiscale nexus among land use-land cover changes and water quality in the Suquía River Basin, a semi-arid region of Argentina","Agricultural intensification and urban sprawl have led to significant alterations in riverscapes, and one of the critical consequences is the deterioration of water quality with significant implications for public health. Therefore, the objectives of this study were the assessment of the water quality of the Suquía River, the assessment of LULC change at different spatial scales, and the analysis of the potential seasonal correlation among LULC change and Water Quality Index (WQI). The Sample Sites (SS) 1 and 2 before Cordoba city had the highest WQI values while from SS3 the WQI decreased, with the lowest WQI close to the wastewater treatment plant (SS7) after Cordoba city. From SS8 in a agricultural context, the WQI increases but does not reach the original values. In light of analysis carried out, the correlation between water quality variables and the different LULC classes at the local and regional scales demonstrated that WQI is negatively affected by agricultural and urban activities, while natural classes impacted positively. The spatialization of the results can help strongly in assessing and managing the diffusion of point and non-point pollution along the riverscape. The knowledge gained from this research can play a crucial role in water resources management, which supports the provision of river ecosystem services essential for the well-being of local populations.",,,Scientific Reports,,,,2024-02-26,2024,2024-02-26,,14,1,4670,All OA; Gold,Article,"Paná, Sofía; Marinelli, M. Victoria; Bonansea, Matías; Ferral, Anabella; Valente, Donatella; Camacho Valdez, Vera; Petrosillo, Irene","Paná, Sofía (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Cdad. de Valparaíso S/N, Córdoba, Argentina; Instituto Gulich, Centro Espacial Teófilo Tabanera, Universidad Nacional de Córdoba-CONAE, Ruta 45 km 8, Falda del Cañete, 5187, Córdoba, Argentina); Marinelli, M. Victoria (Instituto Gulich, Centro Espacial Teófilo Tabanera, Universidad Nacional de Córdoba-CONAE, Ruta 45 km 8, Falda del Cañete, 5187, Córdoba, Argentina); Bonansea, Matías (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Cdad. de Valparaíso S/N, Córdoba, Argentina; Departamento de Estudios Básicos y Agropecuarios, Facultad de Agronomía y Veterinaria (FAyV), Universidad Nacional de Río Cuarto (UNRC), Río Cuarto, Argentina); Ferral, Anabella (Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Cdad. de Valparaíso S/N, Córdoba, Argentina; Instituto Gulich, Centro Espacial Teófilo Tabanera, Universidad Nacional de Córdoba-CONAE, Ruta 45 km 8, Falda del Cañete, 5187, Córdoba, Argentina); Valente, Donatella (Laboratory of Landscape Ecology, Department of Biological and Environmental Sciences and Technologies, University of Salento, Prov. Le Lecce-Monteroni, 73100, Lecce, Italy); Camacho Valdez, Vera (CONAHCYT- Departamento de Conservación de la Biodiversidad, El Colegio de la Frontera Sur, San Cristóbal de las Casas, México); Petrosillo, Irene (Laboratory of Landscape Ecology, Department of Biological and Environmental Sciences and Technologies, University of Salento, Prov. Le Lecce-Monteroni, 73100, Lecce, Italy)","Bonansea, Matías (National Scientific and Technical Research Council; National University of Río Cuarto); Valente, Donatella (University of Salento)","Paná, Sofía (National Scientific and Technical Research Council; National University of Córdoba); Marinelli, M. Victoria (National University of Córdoba); Bonansea, Matías (National Scientific and Technical Research Council; National University of Río Cuarto); Ferral, Anabella (National Scientific and Technical Research Council; National University of Córdoba); Valente, Donatella (University of Salento); Camacho Valdez, Vera (El Colegio de la Frontera Sur); Petrosillo, Irene (University of Salento)",0,0,,,https://www.nature.com/articles/s41598-024-53604-0.pdf,https://app.dimensions.ai/details/publication/pub.1169186206,41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4178,pub.1156221285,10.1016/j.watres.2023.119880,36958224,,Exploring the reliability of 222Rn as a tracer of groundwater age in alluvial aquifers: Insights from the explicit simulation of variable 222Rn production,"Knowledge of groundwater residence times (GRT; the time elapsed since surface water infiltration) between losing rivers and pumping wells is crucial for management of water resources in alluvial aquifers. The radioactive noble gas radon-222 (222Rn) has been used for decades as a natural indicator of surface water infiltration, as it can provide quantitative information on GRT. However, models using 222Rn as a tracer of GRT are often based on a set of highly simplifying assumptions, including spatially homogenous 222Rn production and exclusively advective mass transport within the aquifer. In this paper, we use the integrated surface-subsurface hydrological model HydroGeoSphere (HGS) to simulate 222Rn transport, production, and decay in a bank filtration context. Spatially variable 222Rn production, based on experimental data, is explicitly considered. We show that variable 222Rn production rates, coupled with hydrodispersive mixing of groundwater, may lead to large biases in GRT estimates. Under certain transient conditions however, changes in tracer-derived GRTs correlate well with changes in mean groundwater age. Whereas 222Rn-derived GRTs may only be reliable under a narrow range of field conditions, 222Rn may serve as a powerful tracer of changes in mean GRT even in complex and heterogenous environments.",Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements We would like to thank the Editor as well as two anonymous reviewers for their constructive comments which greatly improved the quality of the manuscript. All data used in this study can be found in Supplement S1. This study was funded by the Swiss National Science Foundation (grant number 200021_179017).,,Water Research,,,Reproducibility of Results; Groundwater; Water Resources; Rivers; Water,2023-03-15,2023,2023-03-15,2023-05,235,,119880,Closed,Article,"Peel, Morgan; Delottier, Hugo; Kipfer, Rolf; Hunkeler, Daniel; Brunner, Philip","Peel, Morgan (Centre d'hydrogéologie et de géothermie (CHYN), Université de Neuchâtel, Emile Argand 11, Neuchâtel 2000, Switzerland. Electronic address: morgan.peel@unine.ch.); Delottier, Hugo (Centre d'hydrogéologie et de géothermie (CHYN), Université de Neuchâtel, Emile Argand 11, Neuchâtel 2000, Switzerland.); Kipfer, Rolf (Department Water Resources and Drinking Water, Eawag, Überlandstrasse 133, Dübendorf 8600, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics and Institute for Geochemistry and Petrology, ETH Zürich, Zürich 8092, Switzerland.); Hunkeler, Daniel (Centre d'hydrogéologie et de géothermie (CHYN), Université de Neuchâtel, Emile Argand 11, Neuchâtel 2000, Switzerland.); Brunner, Philip (Centre d'hydrogéologie et de géothermie (CHYN), Université de Neuchâtel, Emile Argand 11, Neuchâtel 2000, Switzerland.)","Peel, Morgan (University of Neuchâtel)","Peel, Morgan (University of Neuchâtel); Delottier, Hugo (University of Neuchâtel); Kipfer, Rolf (Swiss Federal Institute of Aquatic Science and Technology; ETH Zurich); Hunkeler, Daniel (University of Neuchâtel); Brunner, Philip (University of Neuchâtel)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1156221285,37 Earth Sciences; 3705 Geology; 3707 Hydrology,
4176,pub.1130167133,10.4014/jmb.2004.04064,32807755,PMC9728354,Long-Term Monitoring of Noxious Bacteria for Construction of Assurance Management System of Water Resources in Natural Status of the Republic of Korea,"Climate change is expected to affect not only availability and quality of water, the valuable resource of human life on Earth, but also ultimately public health issue. A six-year monitoring (total 20 times) of Escherichia coli O157, Salmonella enterica, Legionella pneumophila, Shigella sonnei, Campylobacter jejuni, and Vibrio cholerae was conducted at five raw water sampling sites including two lakes, Hyundo region (Geum River) and two locations near Water Intake Plants of Han River (Guui region) and Nakdong River (Moolgeum region). A total 100 samples of 40 L water were tested. Most of the targeted bacteria were found in 77% of the samples and at least one of the target bacteria was detected (65%). Among all the detected bacteria, E. coli O157 were the most prevalent with a detection frequency of 22%, while S. sonnei was the least prevalent with a detection frequency of 2%. Nearly all the bacteria (except for S. sonnei) were present in samples from Lake Soyang, Lake Juam, and the Moolgeum region in Nakdong River, while C. jejuni was detected in those from the Guui region in Han River. During the six-year sampling period, individual targeted noxious bacteria in water samples exhibited seasonal patterns in their occurrence that were different from the indicator bacteria levels in the water samples. The fact that they were detected in the five Korea's representative water environments make it necessary to establish the chemical and biological analysis for noxious bacteria and sophisticated management systems in response to climate change.","This work was supported by a grant from the National Institute of Environmental Research (NIER-SP2018-309, TSK, OJR, and SSL) funded by the Ministry of Environment (MOE) of the Republic of Korea.",,Journal of Microbiology and Biotechnology,,,Campylobacter jejuni; Chemical Phenomena; Escherichia coli O157; Legionella pneumophila; Republic of Korea; Rivers; Salmonella enterica; Shigella sonnei; Vibrio cholerae; Water Microbiology; Water Quality; Water Resources,2020-07-31,2020,2020-07-31,2020-10-28,30,10,1516-1524,All OA; Bronze,Article,"Bahk, Young Yil; Kim, Hyun Sook; Rhee, Ok-Jae; You, Kyung-A; Bae, Kyung Seon; Lee, Woojoo; Kim, Tong-Soo; Lee, Sang-Seob","Bahk, Young Yil (Department of Biotechnology, College of Biomedical and Health Science, Konkuk University, Chungju 27478, Republic of Korea); Kim, Hyun Sook (Department of Life Science, Graduate School, Kyonggi University, Suwon 167, Republic of Korea); Rhee, Ok-Jae (DK EcoV Environmental Microbiology Lab., Cheonan 1075, Republic of Korea); You, Kyung-A (Environmental Infrastructure Research Department, Water Supply and Sewerage Research Division, National Institute of Environmental Research, Incheon 22689, Republic of Korea); Bae, Kyung Seon (Environmental Infrastructure Research Department, Water Supply and Sewerage Research Division, National Institute of Environmental Research, Incheon 22689, Republic of Korea); Lee, Woojoo (Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea); Kim, Tong-Soo (Department of Parasitology and Tropical Medicine, School of Medicine, Inha University, Incheon 22212, Republic of Korea); Lee, Sang-Seob (Department of Life Science, Graduate School, Kyonggi University, Suwon 167, Republic of Korea)","Kim, Tong-Soo (Inha University); Lee, Sang-Seob (Kyonggi University)","Bahk, Young Yil (Konkuk University); Kim, Hyun Sook (Kyonggi University); Rhee, Ok-Jae (DK EcoV Environmental Microbiology Lab., Cheonan 1075, Republic of Korea); You, Kyung-A (National Institute of Environmental Research); Bae, Kyung Seon (National Institute of Environmental Research); Lee, Woojoo (Seoul National University); Kim, Tong-Soo (Inha University); Lee, Sang-Seob (Kyonggi University)",1,0,0.18,0.17,https://www.jmb.or.kr/journal/download_pdf.php?doi=10.4014/jmb.2004.04064,https://app.dimensions.ai/details/publication/pub.1130167133,31 Biological Sciences; 3107 Microbiology,
4176,pub.1125728102,10.3390/e22030333,33286107,PMC7516791,"Assessing and Predicting the Water Resources Vulnerability under Various Climate-Change Scenarios: A Case Study of Huang-Huai-Hai River Basin, China","The Huang-Huai-Hai River Basin plays an important strategic role in China's economic development, but severe water resources problems restrict the development of the three basins. Most of the existing research is focused on the trends of single hydrological and meteorological indicators. However, there is a lack of research on the cause analysis and scenario prediction of water resources vulnerability (WRV) in the three basins, which is the very important foundation for the management of water resources. First of all, based on the analysis of the causes of water resources vulnerability, this article set up the evaluation index system of water resource vulnerability from three aspects: water quantity, water quality and disaster. Then, we use the Improved Blind Deletion Rough Set (IBDRS) method to reduce the dimension of the index system, and we reduce the original 24 indexes to 12 evaluation indexes. Third, by comparing the accuracy of random forest (RF) and artificial neural network (ANN) models, we use the RF model with high fitting accuracy as the evaluation and prediction model. Finally, we use 12 evaluation indexes and an RF model to analyze the trend and causes of water resources vulnerability in three basins during 2000-2015, and further predict the scenarios in 2020 and 2030. The results show that the vulnerability level of water resources in the three basins has been improved during 2000-2015, and the three river basins should follow the development of scenario 1 to ensure the safety of water resources. The research proved that the combination of IBDRS and an RF model is a very effective method to evaluate and forecast the vulnerability of water resources in the Huang-Huai-Hai River Basin.",,"This work was supported by the National Natural Foundation for young scholars (No. 71403122), the Natural Foundation of Jiangsu Province for young scholars (No. BK20140980), and the Humanities and Social Science Foundation of Chinese Ministry of Education for young scholars (No. 14YJC630018).",Entropy,,,,2020-03-14,2020,2020-03-14,,22,3,333,All OA; Gold,Article,"Chen, Yan; Feng, Yazhong; Zhang, Fan; Yang, Fan; Wang, Lei","Chen, Yan (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China;, fengyazhong@njfu.edu.cn); Feng, Yazhong (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China;, fengyazhong@njfu.edu.cn); Zhang, Fan (School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA;, fzhan14@lsu.edu); Yang, Fan (Faculty of Business and Economics, Monash University, Melbourne, VIC 3800, Australia;, fyan0027@student.monash.edu); Wang, Lei (Teachers and Teaching Development Center, Nanjing University of Information Science and Technology, Nanjing 210044, China;, 001530@nuist.edu.cn)","Chen, Yan (Nanjing Forestry University)","Chen, Yan (Nanjing Forestry University); Feng, Yazhong (Nanjing Forestry University); Zhang, Fan (Louisiana State University Agricultural Center); Yang, Fan (Monash University); Wang, Lei (Nanjing University of Information Science and Technology)",9,5,0.33,,https://www.mdpi.com/1099-4300/22/3/333/pdf?version=1585293185,https://app.dimensions.ai/details/publication/pub.1125728102,49 Mathematical Sciences; 51 Physical Sciences,6 Clean Water and Sanitation
4176,pub.1169264319,10.1007/s11356-024-32382-2,38416352,,"Prioritization of sub-watersheds and subsequent site identification for soil water and conservation practices using the SWAT-AHP integrated model in the Lower Sutlej Sub-basin, India","Prioritization of watersheds is a crucial step in integrated river basin management. It guides resource allocation, planning, decision-making, stakeholder engagement, targeted interventions, and monitoring and evaluation efforts. By identifying and addressing priority watersheds, comprehensive and sustainable management of water resources can be achieved within a river basin. The aim of the current study is to prioritize watersheds using the Soil and Water Assessment Tool (SWAT) and site suitability analysis for the implementation of soil and water conservation structures (SWCS) in the prioritized watersheds by using an analytical hierarchy process (AHP) of the Lower Sutlej Sub-basin, India. The model was calibrated with observed data from 2017 to 2019 with the first 2 years (2015–16) as a warm-up period. Furthermore, validation of the model was done using 2-year data from 2020 to 2021. The model showed successful performance in terms of the R2 range from 0.72 to 0.89, the NSE range from 0.67 to 0.73, the PBIAS range from − 26.70 to 11.30, and the RSR range from 0.51 to 0.57 for stream flow and sediment yield during calibration and validation period. The basin’s average annual soil loss ranged from 3.08 to 21.63 t/ha/year, a watershed with the WS2 index seeing the highest rate of soil erosion (21.63 t/ha/year). Hence, WS2 was found to be a top priority. In addition, the site suitability analysis of the prioritized watershed (WS2) reveals that about 1.42% of the area is extremely suitable, 16.14% is highly suitable, and 35.58% is moderately suitable for SWCS. According to the site suitability map validation, both dam locations were found in highly suitable areas, so the developed site suitability map is accurate. This research will help sustainability planners and managers make more informed decisions when building SWCS at suitable sites for better land and water conservation.",,,Environmental Science and Pollution Research,,,Soil; Water; Analytic Hierarchy Process; Conservation of Natural Resources; Environmental Monitoring; India,2024-02-28,2024,2024-02-28,2024-03,31,15,23120-23145,Closed,Article,"Sharma, Navneet; Kaushal, Arun; Yousuf, Abrar; Kaur, Samanpreet; Sharda, Rakesh","Sharma, Navneet (Department of Soil and Water Engineering, Punjab, Agricultural University, 141004, Ludhiana, Punjab, India; International Water Management Institute, 110012, New Delhi, India); Kaushal, Arun (Department of Soil and Water Engineering, Punjab, Agricultural University, 141004, Ludhiana, Punjab, India); Yousuf, Abrar (Punjab Agricultural University-Regional Research Station, Ballowal Saunkhri, 144521, SBS Nagar, Punjab, India); Kaur, Samanpreet (Department of Soil and Water Engineering, Punjab, Agricultural University, 141004, Ludhiana, Punjab, India); Sharda, Rakesh (Department of Soil and Water Engineering, Punjab, Agricultural University, 141004, Ludhiana, Punjab, India)","Sharma, Navneet (Punjab Agricultural University; International Water Management Institute)","Sharma, Navneet (Punjab Agricultural University; International Water Management Institute); Kaushal, Arun (Punjab Agricultural University); Yousuf, Abrar (Punjab Agricultural University); Kaur, Samanpreet (Punjab Agricultural University); Sharda, Rakesh (Punjab Agricultural University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1169264319,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,15 Life on Land
4170,pub.1032960534,10.1016/j.jenvman.2015.06.007,26119329,,A water resources simulation gaming model for the Invitational Drought Tournament,"A system dynamics-based simulation gaming model, developed as a component of Agriculture and Agri-Food Canada's Invitational Drought Tournament (IDT; Hill et al., 2014), is introduced in this paper as a decision support tool for drought management at the river-basin scale. This IDT Model provides a comprehensive and integrated overview of drought conditions, and illustrates the broad effects of socio-economic drought and mitigation strategies. It is intended to provide a safe, user-friendly experimental environment with fast run-times for testing management options, and to promote collaborative decision-making and consensus building. Examples of model results from several recent IDT events demonstrate potential effects of drought and the short-to longer-term effectiveness of policies selected by IDT teams; such results have also improved teams' understanding of the complexity of water resources systems and their management trade-offs. The IDT Model structure and framework can also be reconfigured quickly for application to different river basins.","AcknowledgementsThe authors would like to acknowledge research support from Agriculture and Agri-Food Canada (Contract 30004522024) for model development, the China Scholarship Council for support for K. Wang, and the helpful comments from H. Hill (AAFC) on a draft of the manuscript.",,Journal of Environmental Management,,,"Canada; Conservation of Natural Resources; Decision Making; Droughts; Humans; Models, Theoretical; Video Games; Water Resources",2015-06-25,2015,2015-06-25,2015-09,160,,167-183,Closed,Article,"Wang, K.; Davies, E.G.R.","Wang, K. (Department of Civil and Environmental Engineering, University of Alberta, 9105 116th St, Edmonton, Alberta, Canada); Davies, E.G.R. (Department of Civil and Environmental Engineering, University of Alberta, 9105 116th St, Edmonton, Alberta, Canada)","Davies, E.G.R. (University of Alberta)","Wang, K. (University of Alberta); Davies, E.G.R. (University of Alberta)",21,6,0.14,7.32,,https://app.dimensions.ai/details/publication/pub.1032960534,37 Earth Sciences; 38 Economics; 3801 Applied Economics,
4168,pub.1166439228,10.1016/j.scitotenv.2023.168830,38036123,,Identification of surface water - groundwater nitrate governing factors in Jianghuai hilly area based on coupled SWAT-MODFLOW-RT3D modeling approach,"A comprehensive understanding of the key controlling factors on NO3-N spatiotemporal distribution in surface and groundwater is of great significance to nitrogen pollution control and water resources management in watershed. Hence, the coupled SWAT-MODFLOW-RT3D model was employed to simulate nitrate (NO3-) fate and transport in Huashan watershed system. The model was calibrated using a combination of stream discharge, groundwater levels, NO3-N in-stream loading and groundwater NO3-N concentrations. The simulation revealed the significant spatiotemporal variations in surface water-groundwater nitrate interactions. The annual average percolation of NO3- from rivers to groundwater was 171.5 kg/km2 and the annual average discharge NO3- content from groundwater into rivers was 451.9 kg/km2 over the simulation period. The highest percolation of NO3- from rivers to groundwater occurred in April and the highest discharge NO3- content from groundwater into rivers occurred in July. Grassland and agriculture land contributed more nitrate contents in river water and groundwater compared to bare land and forest in the study area and the water exchange was the primary driving force for nitrate interactions in the surface water-groundwater system. Sensitivity analysis indicated that river runoff and groundwater levels were most influenced by the SCS runoff curve number f (CN2) and aquifer hydraulic conductivity (K), which, in turn, significantly affected nitrate transport. Regarding water quality parameters, the denitrification exponential rate coefficient (CDN) had the most pronounced impact on NO3-N in-stream loading and groundwater NO3-N concentrations. This study underscores the central role of surface-groundwater (SW-GW) interactions in watershed-scale nitrate research and suggests that parameters with higher sensitivity should be prioritized in analogous watershed modeling.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements We acknowledge the National Key RD Program of China (Grant No. 2021YFC3200501), and the National Natural Science Foundation of China (Grant No. 42202289) for funding.",,The Science of The Total Environment,,,,2023-11-28,2023,2023-11-28,2024-02,912,,168830,Closed,Article,"Zhang, Lu; Li, Xue; Han, Jiangbo; Lin, Jin; Dai, Yunfeng; Liu, Peng","Zhang, Lu (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China.); Li, Xue (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China.); Han, Jiangbo (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China.); Lin, Jin (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China. Electronic address: jlin@nhri.cn.); Dai, Yunfeng (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China.); Liu, Peng (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China.)","Lin, Jin (Nanjing Hydraulic Research Institute)","Zhang, Lu (Nanjing Hydraulic Research Institute; State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering); Li, Xue (Nanjing Hydraulic Research Institute); Han, Jiangbo (Nanjing Hydraulic Research Institute); Lin, Jin (Nanjing Hydraulic Research Institute); Dai, Yunfeng (Nanjing Hydraulic Research Institute); Liu, Peng (Nanjing Hydraulic Research Institute)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1166439228,37 Earth Sciences; 3707 Hydrology,15 Life on Land
4165,pub.1158108283,10.3390/plants12101990,37653907,PMC10223565,Irrigation Optimization via Crop Water Use in Saline Coastal Areas—A Field Data Analysis in China’s Yellow River Delta,"Freshwater resources are becoming increasingly scarce in coastal areas, limiting crop productivity in coastal farmlands. Although the characteristic of crop water use is an important factor for water conservation in coastal farmlands, it has not been studied extensively. This study aimed to depict the water use process of soil-plant systems under saline stress in coastal ecosystems and optimize water management. An intensive observation experiment was performed within China's Yellow River Delta to identify the water use processes and crop coefficients (KC) and also quantify the impacts of salt stress on crop water use. The results show that shallow groundwater did not contribute to soil water in the whole rotation; KC values for wheat-maize, wheat-sorghum, and wheat-soybean rotation systems were 45.0, 58.4, and 57% less, respectively, than the FAO values. The water use efficiency of the maize (8.70) and sorghum (9.00) in coastal farmlands was higher than that of the soybean (4.37). By identifying the critical periods of water and salt stress, this paper provides suggestions for water-saving and salinity control in coastal farmlands. Our findings can inform the sustainable development of coastal farmlands and provide new insights to cope with aspects of the global food crisis.",We are grateful to two anonymous reviewers for their constructive comments on an earlier version of the manuscript.,"This research was funded by the Strategic Priority Research Program of Chinese Academy of Sciences grant number XDA26050200 and XDA28130400, and the National Natural Science Foundation of China grant number 42271278.",Plants,,"Puyu Feng, Kelin Hu",,2023-05-15,2023,2023-05-15,,12,10,1990,All OA; Gold,Article,"Li, Jing; Liu, Deyao; Zhang, Yitao; Liu, Zhen; Wang, Lingqing; Gong, Huarui; Xu, Yan; Lei, Shanqing; Xie, Hanyou; Binley, Andrew","Li, Jing (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.)); Liu, Deyao (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China); Zhang, Yitao (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.)); Liu, Zhen (Yellow River Delta Modern Agricultural Engineering Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liuzhen@igsnrr.ac.cn, (Z.L.);, hrgong@igsnrr.ac.cn, (H.G.)); Wang, Lingqing (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.)); Gong, Huarui (Yellow River Delta Modern Agricultural Engineering Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liuzhen@igsnrr.ac.cn, (Z.L.);, hrgong@igsnrr.ac.cn, (H.G.)); Xu, Yan (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China); Lei, Shanqing (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China); Xie, Hanyou (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China); Binley, Andrew (Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK;, a.binley@lancaster.ac.uk)","Li, Jing (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.)); Xie, Hanyou (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); Chinese Academy of Agricultural Sciences)","Li, Jing (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.)); Liu, Deyao (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); University of Chinese Academy of Sciences); Zhang, Yitao (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.)); Liu, Zhen (Institute of Geographic Sciences and Natural Resources Research; Yellow River Delta Modern Agricultural Engineering Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liuzhen@igsnrr.ac.cn, (Z.L.);, hrgong@igsnrr.ac.cn, (H.G.)); Wang, Lingqing (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.)); Gong, Huarui (Institute of Geographic Sciences and Natural Resources Research; Yellow River Delta Modern Agricultural Engineering Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liuzhen@igsnrr.ac.cn, (Z.L.);, hrgong@igsnrr.ac.cn, (H.G.)); Xu, Yan (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); University of Chinese Academy of Sciences); Lei, Shanqing (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); University of Chinese Academy of Sciences); Xie, Hanyou (Institute of Geographic Sciences and Natural Resources Research; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;, liudeyao20@mails.ucas.ac.cn, (D.L.);, zhangyt@igsnrr.ac.cn, (Y.Z.);, wanglq@igsnrr.ac.cn, (L.W.);, xuy.17s@igsnrr.ac.cn, (Y.X.);, leishanqing22@mails.ucas.ac.cn, (S.L.); Chinese Academy of Agricultural Sciences); Binley, Andrew (Lancaster University)",3,3,,,https://www.mdpi.com/2223-7747/12/10/1990/pdf?version=1684242246,https://app.dimensions.ai/details/publication/pub.1158108283,"30 Agricultural, Veterinary and Food Sciences; 3004 Crop and Pasture Production",15 Life on Land; 2 Zero Hunger
4164,pub.1154005916,10.1016/j.scitotenv.2022.161224,36584957,,The unknown fate of macroplastic in mountain rivers,"Mountain rivers are typically seen as relatively pristine ecosystems, supporting numerous goods (e.g., water resources) for human populations living not only in the mountain regions but also downstream from them. However recent evidence suggests that mountain river valleys in populated areas can be substantially polluted by macroplastic (plastic item >25 mm). It is unknown how distinct characteristics of mountain rivers modulate macroplastic routes through them, which makes planning effective mitigation strategies difficult. To stimulate future works on this gap, we present a conceptual model of macroplastic transport pathways through mountain river. Based on this model, we formulate four hypotheses on macroplastic input, transport and mechanical degradation in mountain rivers. Then, we propose designs of field experiments that allow each hypothesis to be tested. We hypothesize that some natural characteristics of mountain river catchments can accelerate the input of improperly disposed macroplastic waste from the slope to the river. Further, we hypothesize that specific hydromorphological characteristics of mountain rivers (e.g., high flow velocity) accelerate the downstream transport rate of macroplastic and together with the presence of shallow water and coarse bed sediments it can accelerate mechanical degradation of macroplastic in river channels, accelerating secondary microplastic production. The above suggests that mountain rivers in populated areas can act as microplastic factories, which are able to produce more microplastic from the same amount of macroplastic waste inputted into them (in comparison to lowland rivers that have a different hydromorphology). The produced risks can not only affect mountain rivers but can also be transported downstream. The challenge for the future is how to manage the hypothesized risks, especially in mountain areas particularly exposed to plastic pollution due to waste management deficiencies, high tourism pressure, poor ecological awareness of the population and lack of uniform regional and global regulations for the problem.","The study was completed within the scope of the Research Project 2020/39/D/ST10/01935 financed by the National Science Center of Poland. ML thank members of Plastic Team (Wageningen University Research) for fruitful discussions on the paper content. The paper was partly written during the stay of ML at WUR, financed by the statutory funds of the Institute of Nature Conservation, Polish Academy of Science. The work of FCM is supported by the Ministry of Research, Innovation, Digitization (Romania) CNCS-UEFISCDI grant no PN-III-P1-1.1-TE-2021-0075 within PNCDI III. The work of TvE is supported by the Veni research program The River Plastic Monitoring Project with Project Number 18211, which is (partly) financed by the Dutch Research Council (NWO). We thank two anonymous reviewers for their constructive comments on manuscript, and Joe Ebwake for improving the English style of the manuscript.",,The Science of The Total Environment,,,,2022-12-28,2022,2022-12-28,2023-03,865,,161224,All OA; Hybrid,Article,"Liro, Maciej; van Emmerik, Tim H M; Zielonka, Anna; Gallitelli, Luca; Mihai, Florin-Constantin","Liro, Maciej (Institute of Nature Conservation, Polish Academy of Sciences, al. Adama Mickiewicza 33, 31-120 Kraków, Poland. Electronic address: liro@iop.krakow.pl.); van Emmerik, Tim H M (Hydrology and Quantitative Water Management Group, Wageningen University, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands.); Zielonka, Anna (Faculty of Geography and Geology, Institute of Geography and Spatial Management, Jagiellonian University, Gronostajowa 7, 30-387 Kraków, Poland; Department of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, al. 29 Listopada 46, 31-425 Krakow, Poland.); Gallitelli, Luca (University Roma Tre, Viale Guglielmo Marconi, 446 00146 Rome, Italy.); Mihai, Florin-Constantin (CERNESIM Center, Department of Exact Sciences and Natural Sciences, Institute of Interdisciplinary Research, ""Alexandru Ioan Cuza"" University of Iasi, 700506, Iasi, Romania.)","Liro, Maciej (Institute of Nature Conservation)","Liro, Maciej (Institute of Nature Conservation); van Emmerik, Tim H M (Wageningen University & Research); Zielonka, Anna (Jagiellonian University; University of Agriculture in Krakow); Gallitelli, Luca (Roma Tre University); Mihai, Florin-Constantin (Alexandru Ioan Cuza University)",10,10,,5.34,https://doi.org/10.1016/j.scitotenv.2022.161224,https://app.dimensions.ai/details/publication/pub.1154005916,37 Earth Sciences; 3707 Hydrology,
4164,pub.1157475055,10.1016/j.jenvman.2023.117959,37100002,,The role of social network embeddedness and collective efficacy in encouraging farmers’ participation in water environmental management,"Water environmental management (WEM) has a significant influence on the global ecological balance. As an institutional innovation, the River Chief System (RCS) in China has achieved a positive short-term impact on addressing water environmental problems. However, its effects are limited in rural China. As a type of public good, the rural WEM demands the active participation not only of government but also of farmers. Based on the social cognitive and social network theory, this study empirically investigates how rural social networks promote farmers' participation in WEM. Using the survey of 860 farmers in the Yellow and Yangtze River Basin, we employ the double-hurdle model (D-H-M) to craft the primary assessment. The results show that the social network embeddedness facilitates farmers' participation in WEM directly. Collective efficacy plays a full mediation role in the relationship between social network embeddedness and farmers' participation. Moreover, the perceived role of village leaders affects the relationship between social networks and farmers' participation. Our research enriches the application of social network theory in the rural social context and offers an innovative approach to solving farmers' participation problems in WEM.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This work was supported by the key project of the National Social Sciences Foundation of China (No. 18AZD003).,,Journal of Environmental Management,,,Humans; Conservation of Natural Resources; Agriculture; Farmers; Collective Efficacy; China; Social Networking,2023-04-24,2023,2023-04-24,2023-08,340,,117959,Closed,Article,"Zhang, Yaya; Hu, Naiyuan; Yao, Lili; Zhu, Yuchun; Ma, Yusi","Zhang, Yaya (College of Economics and Management, Northwest A&F University, Yangling, 712100, China. Electronic address: zyy804788572@163.com.); Hu, Naiyuan (College of Economics and Management, Northwest A&F University, Yangling, 712100, China. Electronic address: hny@nwafu.edu.cn.); Yao, Lili (College of Economics and Management, Northwest A&F University, Yangling, 712100, China. Electronic address: liliyao@nwafu.edu.cn.); Zhu, Yuchun (College of Economics and Management, Northwest A&F University, Yangling, 712100, China. Electronic address: zhuyuchun321@126.com.); Ma, Yusi (College of Business, Florida International University, Miami, 33199, USA. Electronic address: yma021@fiu.edu.)","Zhu, Yuchun (North West Agriculture and Forestry University)","Zhang, Yaya (North West Agriculture and Forestry University); Hu, Naiyuan (North West Agriculture and Forestry University); Yao, Lili (North West Agriculture and Forestry University); Zhu, Yuchun (North West Agriculture and Forestry University); Ma, Yusi (Florida International University)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1157475055,44 Human Society; 4406 Human Geography; 4410 Sociology,
4158,pub.1129021148,10.1016/j.watres.2020.116132,32777635,,Elucidating fecal pollution patterns in alluvial water resources by linking standard fecal indicator bacteria to river connectivity and genetic microbial source tracking,"A novel concept for fecal pollution analysis was applied at alluvial water resources to substantially extend the information provided by fecal indicator bacteria (FIB). FIB data were linked to river connectivity and genetic microbial source tracking (MST). The concept was demonstrated at the Danube River and its associated backwater area downstream of the city of Vienna, using a comprehensive 3-year data set (10 selected sites, n = 317 samples). Enumeration of Escherichia coli (ISO 16649-2), intestinal enterococci (ISO 7899-2) and Clostridium perfringens (ISO 14189) revealed a patchy distribution for the investigation area. Based on these parameters alone a clear interpretation of the observed fecal contamination patterns was not possible. Comparison of FIB concentrations to river connectivity allowed defining sites with dominating versus rare fecal pollution influence from the River Danube. A strong connectivity gradient at the selected backwater sites became obvious by 2D hydrodynamic surface water modeling, ranging from 278 days (25%) down to 5 days (<1%) of hydraulic connectivity to the River Danube within the 3-year study period. Human sewage pollution could be identified as the dominating fecal source at the highly connected sites by adding information from MST analysis. In contrast, animal fecal pollution proofed to be dominating in areas with low river connectivity. The selection of genetic MST markers was focusing on potentially important pollution sources in the backwater area, using human (BacHum, HF183II), ruminant (BacR) and pig (Pig2Bac) -associated quantitative PCR assays. The presented approach is assumed to be useful to characterize alluvial water resources for water safety management throughout the globe, by allocating fecal pollution to autochthonous, allochthonous, human or animal contamination components. The established river connectivity metric is not limited to bacterial fecal pollution, but can be applied to any type of chemical and microbiological contamination.","This paper was supported by the Austrian Science Fund (FWF) as part of the “Vienna Doctoral Program on Water Resource Systems” (W1219-N22), by the Science Call 2015 ″Ressource und Lebensgrundlage Wasser” project SC15-016 (Aquasafe) funded by the Niederösterreichische Forschungs-und Bildungsgesellschaft (NFB) and the Project Groundwater Resource Systems Vienna, in cooperation with Vienna Water as part of the “(New) Danube-Lower Lobau Network Project” [Gewässervernetzung (Neue) Donau-Untere Lobau (Nationalpark Donau-Auen)] funded by the Government of Austria (Federal Ministry of Agriculture, Forestry, Environment Water Management), the Government of Vienna, and the European Agricultural Fund for Rural Development (project LE 07–13). We thank the Vienna Municipal Department 49 (Alexander Faltejsek) for consultation. We acknowledge the assistance of the laboratory teams at the Medical University of Vienna (Sonja Knetsch and Andrea Lettl) and the TU Wien (Gudrun Schnitzer and Nathalie Schuster). We thank the WasserCluster Lunz and the Vienna Municipal Department 45 for providing the data of the chemical measurements. This work represents a joint effort of the Interuniversity Cooperation Center for Water Health (www.waterandhealth.at).",,Water Research,,,Animals; Bacteria; Environmental Monitoring; Feces; Humans; Rivers; Swine; Water Microbiology; Water Pollution; Water Resources,2020-07-05,2020,2020-07-05,2020-10,184,,116132,All OA; Hybrid,Article,"Frick, Christina; Vierheilig, Julia; Nadiotis-Tsaka, Theodossia; Ixenmaier, Simone; Linke, Rita; Reischer, Georg H; Komma, Jürgen; Kirschner, Alexander K T; Mach, Robert L; Savio, Domenico; Seidl, Dagmar; Blaschke, Alfred P; Sommer, Regina; Derx, Julia; Farnleitner, Andreas H","Frick, Christina (Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria; Centre for Water Resource Systems (CWRS), TU Wien, Karlsplatz 13, 1040, Vienna, Austria. Electronic address: christina.frick@wien.gv.at.); Vierheilig, Julia (Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria. Electronic address: julia.vierheilig@kl.ac.at.); Nadiotis-Tsaka, Theodossia (Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria. Electronic address: theodossia.nadiotis-tsaka@wien.gv.at.); Ixenmaier, Simone (Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria. Electronic address: simone.ixenmaier@tuwien.ac.at.); Linke, Rita (Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria. Electronic address: rita.linke@tuwien.ac.at.); Reischer, Georg H (Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria. Electronic address: georg.reischer@tuwien.ac.at.); Komma, Jürgen (Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Karlsplatz 13, 1040, Vienna, Austria. Electronic address: komma@hydro.tuwien.ac.at.); Kirschner, Alexander K T (Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria; Unit of Water Microbiology, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria. Electronic address: alexander.kirschner@meduniwien.ac.at.); Mach, Robert L (Research Division Biochemical Technology, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, 1060, Vienna, Austria. Electronic address: robert.mach@tuwien.ac.at.); Savio, Domenico (Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria. Electronic address: domenico.savio@kl.ac.at.); Seidl, Dagmar (Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria. Electronic address: dagmar.seidl@wien.gv.at.); Blaschke, Alfred P (Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Karlsplatz 13, 1040, Vienna, Austria. Electronic address: blaschke@hydro.tuwien.ac.at.); Sommer, Regina (Interuniversity Cooperation Centre for Water and Health, Austria; Unit of Water Hygiene, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria. Electronic address: regina.sommer@meduniwien.ac.at.); Derx, Julia (Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Karlsplatz 13, 1040, Vienna, Austria. Electronic address: derx@hydro.tuwien.ac.at.); Farnleitner, Andreas H (Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria. Electronic address: andreas.farnleitner@kl.ac.at.)","Derx, Julia (Interuniversity Cooperation Centre Water & Health; TU Wien); Farnleitner, Andreas H (Karl Landsteiner University of Health Sciences; Interuniversity Cooperation Centre Water & Health; TU Wien)","Frick, Christina (Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria; Centre for Water Resource Systems (CWRS), TU Wien, Karlsplatz 13, 1040, Vienna, Austria. Electronic address: christina.frick@wien.gv.at.; TU Wien); Vierheilig, Julia (Karl Landsteiner University of Health Sciences; Interuniversity Cooperation Centre Water & Health); Nadiotis-Tsaka, Theodossia (Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria. Electronic address: theodossia.nadiotis-tsaka@wien.gv.at.); Ixenmaier, Simone (Interuniversity Cooperation Centre Water & Health; TU Wien); Linke, Rita (Interuniversity Cooperation Centre Water & Health; TU Wien); Reischer, Georg H (Interuniversity Cooperation Centre Water & Health; TU Wien); Komma, Jürgen (TU Wien); Kirschner, Alexander K T (Karl Landsteiner University of Health Sciences; Interuniversity Cooperation Centre Water & Health; Medical University of Vienna); Mach, Robert L (TU Wien); Savio, Domenico (Karl Landsteiner University of Health Sciences; Interuniversity Cooperation Centre Water & Health; TU Wien); Seidl, Dagmar (Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria. Electronic address: dagmar.seidl@wien.gv.at.); Blaschke, Alfred P (Interuniversity Cooperation Centre Water & Health; TU Wien); Sommer, Regina (Interuniversity Cooperation Centre Water & Health; Medical University of Vienna); Derx, Julia (Interuniversity Cooperation Centre Water & Health; TU Wien); Farnleitner, Andreas H (Karl Landsteiner University of Health Sciences; Interuniversity Cooperation Centre Water & Health; TU Wien)",20,15,1.04,2.56,https://doi.org/10.1016/j.watres.2020.116132,https://app.dimensions.ai/details/publication/pub.1129021148,31 Biological Sciences; 41 Environmental Sciences; 4105 Pollution and Contamination,
4157,pub.1109809829,10.1016/j.scitotenv.2018.11.162,30841399,,Inter-comparison of water balance components of river basins draining into selected delta districts of Eastern India,"Quantification of hydrological components in-terms of surface runoff, stream flow and evapotranspiration is important and useful in planning and management of water resources across the river basin, including downstream delta regions. River deltas water availability; management and related disaster risk are largely influenced by the hydrological state of upstream river basins. The paper presents the results of hydrological modelling (SWAT) based long-term water balance components in river basins draining into selected delta Districts of Eastern India. Mahanadi, Brahmani-Baitarani river basins and Hooghly river and adjacent small river basins are considered. The long-term water balance components of Mahanadi and Brahmani-Baitarani river basins are similar and significantly different in Hooghly river and adjacent small river basins. The runoff coefficient is significantly higher in Hooghly river and adjacent small river basins at 0.39 compared to other two river basins (0.247 & 0.256). The evapotranspiration component is relatively low in Hooghly river and adjacent small river basins with smaller range of long-term variation. The time-series model outputs brought out the basin-specific hydrological response variations in low and high rainfall years such as changes in fraction of evapotranspiration and surface runoff. Mahanadi and Brahmani-Baitarani river basins exhibit large inter-annual variation in evapotranspiration, surface runoff fractions. The developed hydrological modelling framework is capable of incorporating future climate data and to predict the basin-scale future water availability, demand, use and to bring out resulting water scenarios that would impact river deltas in-terms of their exposure towards water related adversities, such as drought and flood.","This work is carried out under the Deltas, vulnerability and Climate Change: Migration and Adaptation (DECCMA) project (IDRC 107642) under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA) Programme with financial support from the UK Government&#x27;s Department for International Development (DFID) and the International Development Research Centre (IDRC), Canada. The views expressed in this work are those of the creators and do not necessarily represent those of DFID and IDRC or its Boards of Governors. The authors gratefully acknowledge the guidance and encouragement by Director, Associate Director and Deputy Director (Remote Sensing Applications Area) of National Remote Sensing Centre (NRSC), Hyderabad, India for carrying out the study. The authors also gratefully acknowledge the support and cooperation provided by the colleagues of NRSC.",,The Science of The Total Environment,,,,2018-11-12,2018,2018-11-12,2019-03,654,,1258-1269,Closed,Article,"Visakh, S.; Raju, P.V.; Kulkarni, Sunil S.; Diwakar, P.G.","Visakh, S. (National Remote Sensing Centre, ISRO, Hyderabad 500037, India); Raju, P.V. (National Remote Sensing Centre, ISRO, Hyderabad 500037, India); Kulkarni, Sunil S. (National Remote Sensing Centre, ISRO, Hyderabad 500037, India); Diwakar, P.G. (Indian Space Research Organisation, Bengaluru 560 231, India)","Raju, P.V. (National Remote Sensing Centre)","Visakh, S. (National Remote Sensing Centre); Raju, P.V. (National Remote Sensing Centre); Kulkarni, Sunil S. (National Remote Sensing Centre); Diwakar, P.G. (Indian Space Research Organisation)",16,9,0.1,2.36,,https://app.dimensions.ai/details/publication/pub.1109809829,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
4156,pub.1004436191,10.1186/2052-336x-12-30,24410768,PMC3895749,Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers,"The ecosystem health of rivers downstream of dams is among the issues that has become focus of attention of many researchers particularly in the recent years. This paper aims to deal with the question, how the environmental health of a river ecosystem can be addressed in water resources planning and management studies. In this study, different parameters affecting the ecosystem of river-reservoir systems, as well as various biological components of river ecosystems have been studied and among them, benthic macro-invertebrates have been selected. Among various bio-indices, biodiversity indices have been selected as the evaluation tool. The case study of this research is Aboulabbas River in Khuzestan province in Iran. The relationship between the biodiversity indices and physicochemical parameters have been studied using correlation analysis, Principal Component Analysis (PCA), and Genetic Programming (GP). Margalef index was selected as the appropriate bio-index for the studied catchment area. The relationship found in this study for the first time between the Margalef bio-index and physicochemical parameters of water in the Aboulabbas River has proved to be a useful tool for water resources managers to assess the ecosystem status when only physicochemical properties of water are known.",The authors are grateful of Mahab Ghodss Consulting Company for providing the database used in this study.,,Journal of Environmental Health Science and Engineering,,,,2014-01-10,2014,2014-01-10,2014-12,12,1,30,All OA; Hybrid,Article,"Yazdian, Hamed; Jaafarzadeh, Nematollah; Zahraie, Banafsheh","Yazdian, Hamed (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran); Jaafarzadeh, Nematollah (Environmental Technology Research Center, Ahvaz Jondishapur University of Medical Science, Ahvaz, Iran); Zahraie, Banafsheh (Center of Excellence for Infrastructure Engineering and Management, College of Engineering, University of Tehran, Tehran, Iran)","Yazdian, Hamed (University of Tehran)","Yazdian, Hamed (University of Tehran); Jaafarzadeh, Nematollah (Environmental Technology Research Center, Ahvaz Jondishapur University of Medical Science, Ahvaz, Iran); Zahraie, Banafsheh (University of Tehran)",15,2,0.15,1.84,https://link.springer.com/content/pdf/10.1186%2F2052-336X-12-30.pdf,https://app.dimensions.ai/details/publication/pub.1004436191,41 Environmental Sciences; 4104 Environmental Management,
4155,pub.1148433512,10.1016/j.watres.2022.118714,35687977,,Adaptive soft sensing of river flow prediction for wastewater treatment operation and risk management,"Many wastewater utilities have discharge permits directly tied with the receiving river flow, so it is critical to have accurate prediction of the hydraulic throughput to ensure safe operation and environment protection. Current empirical knowledge-based operation faces many challenges, so in this study we developed and assessed daily-adaptive, probabilistic soft sensor prediction models to forecast the next month's average receiving river flowrate and guide the utility operations. By comparing 11 machine-learning methods, extra trees regression exhibits desired deterministic prediction accuracy at day 0 (overall accuracy index: 3.9 × 10-3 1/cms2) (cms: cubic meter per second), which also increases steadily over the course of the month (e.g., MAPE and RMSE decrease from 41.46% and 23.31 cms to 3.31% and 2.81 cms, respectively). The overall classification accuracy of three river flow classes reaches 0.79 at the beginning and increases to about 0.97 over the course of the predicted month. To manage the uncertainty caused by potential false negative classification as overestimations, a probabilistic assessment on the predictions based on 95% lower PI is developed and successfully reduces the false negative classification from 17% to nearly zero with a slight sacrifice of overall classification accuracy.",J.-J. Zhu and Z.J. Ren acknowledge the support from Princeton University Andlinger Center for Energy and Environment Innovation Grant. The authors thank the support from the Intelligent Water Systems Challenge organized by the Water Research Foundation and Water Environment Federation.,,Water Research,,,Conservation of Natural Resources; Machine Learning; Risk Management; Rivers; Water Purification,2022-06-04,2022,2022-06-04,2022-07,220,,118714,Closed,Article,"Zhu, Jun-Jie; Sima, Nathan Q; Lu, Ting; Menniti, Adrienne; Schauer, Peter; Ren, Zhiyong Jason","Zhu, Jun-Jie (Department of Civil and Environmental Engineering and Andlinger Center for Energy and the Environment, Princeton University, Princeton, NJ 08544, United States.); Sima, Nathan Q (School of Engineering and Applied Science, Princeton University, Princeton, NJ 08544, United States.); Lu, Ting (Clean Water Services, Hillsboro, OR 97123, United States.); Menniti, Adrienne (Clean Water Services, Hillsboro, OR 97123, United States.); Schauer, Peter (Clean Water Services, Hillsboro, OR 97123, United States.); Ren, Zhiyong Jason (Department of Civil and Environmental Engineering and Andlinger Center for Energy and the Environment, Princeton University, Princeton, NJ 08544, United States. Electronic address: zjren@princeton.edu.)","Ren, Zhiyong Jason (Princeton University)","Zhu, Jun-Jie (Princeton University); Sima, Nathan Q (Princeton University); Lu, Ting (Clean Water Services, Hillsboro, OR 97123, United States.); Menniti, Adrienne (Clean Water Services, Hillsboro, OR 97123, United States.); Schauer, Peter (Clean Water Services, Hillsboro, OR 97123, United States.); Ren, Zhiyong Jason (Princeton University)",7,7,0.8,3.74,,https://app.dimensions.ai/details/publication/pub.1148433512,37 Earth Sciences; 3707 Hydrology; 40 Engineering,
4152,pub.1107729923,10.1016/j.jhydrol.2018.10.038,32020949,PMC6999736,A comparative study of available water in the major river basins of the world,"Numerous large river basins of the world have few and irregular observations of the components of the terrestrial hydrological cycle with the exception of stream gauges at a few locations and at the outlet along with sparsely distributed rain gauges. Using observations from satellite sensors and output from global land surface models, it is possible to study these under-observed river basins. With populations greater than a billion people, some of these rivers (e.g., the Ganga-Brahmaputra, the Yangtze, the Nile and the Mekong) are the economic engines of the countries they transect, yet thorough assessment of their flow dynamics and variability in regard to water resource management is still lacking. In this paper, we use soil moisture (0-2m) and surface runoff from the NASA Global Land Data Assimilation System (GLDAS), evapotranspiration, and Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and rainfall from the Tropical Rainfall Measuring Mission (TRMM) and total water storage anomaly from the Gravity Recovery and Climate Experiment (GRACE) to examine variability of individual water balance components. To this end, understanding the inter-annual and intra-seasonal variability and the spatial variability of the water balance components in the major river basins of the world will help to plan for improved management of water resources for the future.","Acknowledgements The authors wish to acknowledge the support of Dr. Bradley Doorn, Program Manager, Water Resources, Applied Sciences Program (award number 80NSSC18K0433) and Dr. Jared Entin, Program Manager, Terrestrial Hydrology (Award number NNX12AP75G) at NASA Headquarters for funding this research. This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The ERA-Interim reanalysis data are provided by ECMWF and processed by LSCE. The FLUXNET eddy covariance data processing and harmonization was carried out by the European Fluxes Database Cluster, AmeriFlux Management Project, and Fluxdata project of FLUXNET, with the support of CDIAC and ICOS Ecosystem Thematic Center, and the OzFlux, ChinaFlux and AsiaFlux offices. Data from the following site IDs were used in this study: AU-How | AU-Tum | BE-Bra | BE-Vie | CA-Man | CH-Dav | DE-Geb | DE-Hai | DE-Tha | DK-Sor | DK-Za | HFI-Hyy | FI-Sod | FR-LBr | FR-Pue | IT-ColI | T-Cpz | IT-Lav | IT-Ren | IT-SRo | NL-Loo | RU-Cok | US-Ha1 | US-Los | US-Me2 | US-MMS | US-Ne1 | US-Ne2 | US-Ne3 | US-NR1 | US-PFa | US-Syv | US-Ton | US-UMB | US-Var | US-WCr.",,Journal of Hydrology,,,,2018-12,2018,,2018-12,567,,510-532,All OA; Hybrid,Article,"Lakshmi, Venkat; Fayne, Jessica; Bolten, John","Lakshmi, Venkat (School of Earth Ocean and the Environment, University of South Carolina, Columbia SC 29208, USA.); Fayne, Jessica (School of Earth Ocean and the Environment, University of South Carolina, Columbia SC 29208, USA.); Bolten, John (NASA Goddard Space Flight Center, Greenbelt MD 20771 USA.)","Lakshmi, Venkat (University of South Carolina)","Lakshmi, Venkat (University of South Carolina); Fayne, Jessica (University of South Carolina); Bolten, John (Goddard Space Flight Center)",72,36,0.39,11.61,https://doi.org/10.1016/j.jhydrol.2018.10.038,https://app.dimensions.ai/details/publication/pub.1107729923,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 40 Engineering; 4013 Geomatic Engineering,
4152,pub.1153147589,10.1016/j.jenvman.2022.116880,36446192,,A water pricing model for urban areas based on water accessibility,"Water resource, with properties of scarcity, is one of the vital resource endowments. Like land resources, the prices of these resource endowments should be correlated to their locations to follow fair and reasonable principles. The current water price systems are mainly policy-oriented fixed regimes. And the water use was charged according to the regional-average situation with scarce consideration of the fine-scale geographical water accessibility. With a combination of the water accessibility and the current water pricing regime, this paper first proposed a novel water pricing model, the Water Price at Grid-scale (WPG) model, to dynamically allocate water prices to fine grids for urban residents. The WPG model was examined in the case study of the Han River Basin in the Hubei province of China. The specific results were: (1) the Pgrid of Tier I is between 0.66 and 3.94 yuan/m³, the Pgrid of Tier II is between 0.57 and 5.44 yuan/m³, and the Pgrid of Tier III is between 0.47 and 6.94 yuan/m³ in the study area. (2) the grids with more water acquisition generally have lower water prices than others and vice versa. (3) the average water prices in tiers obtained by the WPG model are generally higher than that derived from the current water pricing system. The results proved that the proposed WPG model spatially allocates the three-tier water prices into grids of urban areas. The WPG framework can be adopted in any society by involving its water price regimes and adjusting the scale of grids and the pricing year. This study provided a new viewpoint of domestic water pricing involving fine-scale water accessibility. The WPG model has great potential to ease water shortage pressure in water-limited societies and can be utilized and loaded into the current smart-city network for efficient and fine-scale water resource management.","This study was funded by the National Natural Science Foundation of China, China (Nos. 41701474, 41701467, and 42171423), the National Key Research and Development Plan of China, China (No. 2016YFC0500205), and the National Basic Research Program of China, China (No. 2015CB954103). The authors are grateful to the anonymous reviewers for their constructive criticism and comments.",,Journal of Environmental Management,,,Water; Costs and Cost Analysis; Water Resources; Water Supply; China,2022-11-26,2022,2022-11-26,2023-02,327,,116880,Closed,Article,"Xu, Lili; Tu, Zhenfa; Yang, Jian; Zhang, Chenlei; Chen, Xiaoxu; Gu, Yinxue; Yu, Guangming","Xu, Lili (College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China; Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, 430079, China.); Tu, Zhenfa (College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China; Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, 430079, China.); Yang, Jian (Faculty of Resource Environment and Tourism, Hubei University of Arts and Science, Xiangyang, 441053, China.); Zhang, Chenlei (College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China.); Chen, Xiaoxu (College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China.); Gu, Yinxue (College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China.); Yu, Guangming (College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China; College of Life and Geographic Sciences, Kashi University, Kashi, 844000, China. Electronic address: yu_guangming@163.com.)","Yu, Guangming (Central China Normal University; College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China; College of Life and Geographic Sciences, Kashi University, Kashi, 844000, China. Electronic address: yu_guangming@163.com.)","Xu, Lili (Central China Normal University); Tu, Zhenfa (Central China Normal University); Yang, Jian (Hubei University of Arts and Science); Zhang, Chenlei (Central China Normal University); Chen, Xiaoxu (Central China Normal University); Gu, Yinxue (Central China Normal University); Yu, Guangming (Central China Normal University; College of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430079, China; College of Life and Geographic Sciences, Kashi University, Kashi, 844000, China. Electronic address: yu_guangming@163.com.)",2,2,,2.08,,https://app.dimensions.ai/details/publication/pub.1153147589,37 Earth Sciences; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4149,pub.1158432238,10.1016/j.jenvman.2023.118163,37247546,,Methodology for a preliminary assessment of water use sustainability in industries at sub-basin level,"The sustainability of industrial production, especially for highly water-demanding processes, is strictly related to water resource availability and to the dynamic interactions between natural and anthropogenic requirements over the spatial and temporal scales. The increase in industrial water demand raises the need to assess the related environmental sustainability, facing the occurrence of global and local water stress issues. The identification of reliable methodologies, based on simple indices and able to consider the impact on local water basins, may play a basilar role in water sustainability diagnosis and decision-making processes for water management and land use planning. The present work focalized on the definition of a methodology based on the calculation of indicators and indices in the view of providing a synthetic, simple, and site-specific assessment tool for industrial water cycle sustainability. The methodology was built starting from geo-referenced data on water availability and sectorial uses derived for Italian sub-basins. According to the data monthly time scale, the proposed indices allowed for an industrial water-related impacts assessment, able to take into account the seasonal variability of local resources. Three industrial factories, located in northern (SB1, SB2) and central (SB3) Italian sub-basins, were selected as case studies (CS1, CS2, CS3) to validate the methodology. The companies were directly involved and asked to provide some input data. The methodology is based on the calculation of three synthetic indexes: the Withdrawal and Consumption water Stress Index (WCSI) allowed for deriving a synthetic water stress level assessment at the sub-basin scale, also considering the spatial and temporal variations; the industrial water use sustainability assessment was achieved by calculating the Overall Factory-to-Basin Impact (OFBI) and the Internal Water Reuse (IWR) indices, which allowed a preliminary evaluation of the factories' impacts on the sub-basin water status, considering the related water uses and the overall pressures on the reference territorial context. The WCSI values highlighted significant differences between the northern sub-basins, characterised by limited water stress (WCSISB1 = 0.221; WCSISB2 = 0.047), and the central ones, more subjected to high stress (WCSISB3 = 0.413). The case studies CS1 and CS3 showed to exert a more significant impact on the local water resource (OFBICS1 = 0.18%; OFBICS2 = 0.192%) with respect to CS2 (OFBI = 0.002%), whereas the IWR index revealed the different company's attitude in implementing water reuse practices (IWRCS1 = 40%; IWRCS1 = 27%; IWRCS1 = 99%). The proposed methodology and the indices may also contribute to assessing the effectiveness of river basin management actions to pursue sustainable development goals.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work was realized within the activities carried out within the project RECiProCo - Implementation of tools and initiatives on Circular Economy for the benefit of Consumers, 2020–2022, funded by the Ministry of Development. A Task in the Work Package 2 WP2 - Development of identification methods for products and services with a reduced environmental impact was completely dedicated to the definition of circularity indicators on the water resource. The authors acknowledge experts of WRI for the kind availability of the shared database, showing the raw data on the availability of the water resource by sub-basin and uses by sector.",,Journal of Environmental Management,,,Humans; Dehydration; Water Resources; Rivers; Sustainable Development,2023-05-27,2023,2023-05-27,2023-10,343,,118163,All OA; Hybrid,Article,"Sabia, G; Mattioli, D; Langone, M; Petta, L","Sabia, G (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Bologna (BO), Italy. Electronic address: gianpaolo.sabia@enea.it.); Mattioli, D (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Bologna (BO), Italy.); Langone, M (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Casaccia (RM), Italy.); Petta, L (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Bologna (BO), Italy.)","Sabia, G (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Bologna (BO), Italy. Electronic address: gianpaolo.sabia@enea.it.)","Sabia, G (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Bologna (BO), Italy. Electronic address: gianpaolo.sabia@enea.it.); Mattioli, D (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Bologna (BO), Italy.); Langone, M (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Casaccia (RM), Italy.); Petta, L (ENEA Italian National Agency for New Technologies, Department for Sustainability, Division Resource Efficiency, Research Centre of Bologna (BO), Italy.)",1,1,,,https://doi.org/10.1016/j.jenvman.2023.118163,https://app.dimensions.ai/details/publication/pub.1158432238,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land; 6 Clean Water and Sanitation
4149,pub.1121430742,10.3390/ijerph16193707,31581565,PMC6801634,"Public Attitudes, Preferences and Willingness to Pay for River Ecosystem Services","River basins are key sources of ecosystem services, with a wide range of social and economic benefits and many effects on human well-being. However, intensified land use and other dramatic variations in river ecosystems can alter ecosystem functions and services. In this study, we explored the public awareness, attitude and perception regarding environmental and water resource issues and assessed the willingness to pay (WTP) for improving selected attributes of the Wei River basin. Various rankings, Likert scales and random parameter logit (RPL) models were used to analyze data obtained from 900 surveyed respondents. Most respondents were more concerned about environmental and water resource management issues rather than socioeconomic attributes. From a policy perspective, 83.32% and 50.50% of the residents ranked ""improvement in water quality"" and ""improving irrigation conditions,"" respectively, as their main priorities regarding ecological restoration. Moreover, the results obtained using RPL models showed that the coefficients were significant for all ecological attributes and monetary attributes, as expected. The positive and significant coefficient for the alternative specific constant demonstrated that the respondents preferred restoration alternatives to the status quo. Furthermore, the highest WTP was found for water quality (91.99 RMB), followed by erosion intensity (23.59 RMB) and water quantity (11.79 RMB). Our results are relevant to policy development and they indicate that ecological restoration is the favored option.",The authors extend their sincere thanks to the editorial team of this journal and the three anonymous reviewers for their valuable comments and suggestions that have significantly improved the manuscript.,,International Journal of Environmental Research and Public Health,,,Attitude; Awareness; China; Conservation of Natural Resources; Ecology; Humans; Logistic Models; Policy Making; Public Opinion; Rivers; Socioeconomic Factors; Water Quality; Water Resources,2019-10-01,2019,2019-10-01,2019-10-01,16,19,3707,All OA; Gold,Article,"Khan, Imran; Lei, Hongdou; Ali, Gaffar; Ali, Shahid; Zhao, Minjuan","Khan, Imran (College of Economics and Management, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China;, leihongdou@nwafu.edu.cn); Lei, Hongdou (College of Economics and Management, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China;, leihongdou@nwafu.edu.cn); Ali, Gaffar (Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25130, Pakistan;, ghaffarali@aup.edu.pk, (G.A.);, drshahid@aup.edu.pk, (S.A.)); Ali, Shahid (Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25130, Pakistan;, ghaffarali@aup.edu.pk, (G.A.);, drshahid@aup.edu.pk, (S.A.)); Zhao, Minjuan (College of Economics and Management, Northwest A&F University, 3 Taicheng Road, Yangling 712100, China;, leihongdou@nwafu.edu.cn)","Khan, Imran (North West Agriculture and Forestry University); Zhao, Minjuan (North West Agriculture and Forestry University)","Khan, Imran (North West Agriculture and Forestry University); Lei, Hongdou (North West Agriculture and Forestry University); Ali, Gaffar (The University of Agriculture, Peshawar; Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25130, Pakistan;, ghaffarali@aup.edu.pk, (G.A.);, drshahid@aup.edu.pk, (S.A.)); Ali, Shahid (The University of Agriculture, Peshawar; Department of Agricultural & Applied Economics, The University of Agriculture, Peshawar 25130, Pakistan;, ghaffarali@aup.edu.pk, (G.A.);, drshahid@aup.edu.pk, (S.A.)); Zhao, Minjuan (North West Agriculture and Forestry University)",29,15,0.37,7.74,https://www.mdpi.com/1660-4601/16/19/3707/pdf?version=1570533671,https://app.dimensions.ai/details/publication/pub.1121430742,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4149,pub.1135375296,10.1016/j.scitotenv.2021.145845,33631562,,"A novel comprehensive model of set pair analysis with extenics for river health evaluation and prediction of semi-arid basin - A case study of Wei River Basin, China","The accelerated development of urbanization in semi-arid areas is easy to cause varying degrees of disturbance to its fragile aquatic ecosystem. To find a general method for assessing the health status in semi-arid basins in China, and to provide theoretical basis for river health management and sustainable development, this study is that health evaluation index system is established in the Wei River Basin, covering a huge semi-arid area, and analyzed the biological structure of plankton obtained by field sampling and identified in laboratory, chemical conditions including dissolved oxygen, water temperature, ammonia nitrogen, pH, chlorophyll and other water physical and chemical factors determined by field instruments and sediment heavy metals analyzed in laboratory, physical habitat scored on site and social factors including water resource utilization rate and water consumption per 10,000 yuan of GDP collected in local water resource bulletin. Based on the idea of game theory, an improved coupling model of set pair analysis with extenics is established to assess and predict health. The results show that Wei River System and Jing River System are healthy, Beiluo River System is sub-healthy, and the whole Wei River Basin is also healthy; most of the cross-sections have a tendency to change to a bad level. Compared with simple weighting, set pair analysis and variable fuzzy set methods based on the corresponding sampling data and the weight in this paper, the coupling model can explain the transition and its trend between levels, reflect the certainty and uncertainty, and get more accurate results. It is suggested that daily monitoring and management should be strengthened in most sections to improve their health. And improve the development level of ecological function and social service function, give priority to the development of downstream water resources economy.","This study was supported by the National Natural Science Foundation of China (41571512), the Natural Science Basic Research Program of Shaanxi Province (2019JM-282), the Central basic Research Foundation of Colleges and Universities (GK201903080) and the Project of Innovation Team for Graduate Students of Shaanxi Normal University (TD2020036Y).",,The Science of The Total Environment,,,,2021-02-14,2021,2021-02-14,2021-06,775,,145845,Closed,Article,"Wan, Xuhao; Yang, Tao; Zhang, Qian; Yan, Xuerong; Hu, Changtong; Sun, Laikang; Zheng, Yiwen","Wan, Xuhao (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China.); Yang, Tao (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an 710062, Shaanxi, People's Republic of China. Electronic address: tyang@snnu.edu.cn.); Zhang, Qian (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China.); Yan, Xuerong (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China.); Hu, Changtong (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China.); Sun, Laikang (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China.); Zheng, Yiwen (School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China.)","Yang, Tao (Shaanxi Normal University; School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an 710062, Shaanxi, People's Republic of China. Electronic address: tyang@snnu.edu.cn.)","Wan, Xuhao (Shaanxi Normal University); Yang, Tao (Shaanxi Normal University; School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an 710062, Shaanxi, People's Republic of China. Electronic address: tyang@snnu.edu.cn.); Zhang, Qian (Shaanxi Normal University); Yan, Xuerong (Shaanxi Normal University); Hu, Changtong (Shaanxi Normal University); Sun, Laikang (Shaanxi Normal University); Zheng, Yiwen (Shaanxi Normal University)",28,26,0.64,8.8,,https://app.dimensions.ai/details/publication/pub.1135375296,37 Earth Sciences; 3707 Hydrology,
4143,pub.1165578405,10.1016/j.jenvman.2023.119499,37924694,,Beyond a ‘just add water’ perspective: environmental water management for vegetation outcomes,"Practitioners of environmental water management (EWM) operate within complex social-ecological systems. We sought to better understand this complexity by investigating the management of environmental water for vegetation outcomes. We conducted an online survey to determine practitioners' perspectives on EWM for non-woody vegetation (NWV) in the Murray-Darling Basin, Australia with regards to: i) desirable outcomes and benefits; ii) influencing factors and risks; iii) challenges of monitoring and evaluation, and iv) improving outcomes. Survey participants indicated that EWM aims to achieve outcomes by improving or maintaining vegetation attributes and the functions and values these provide. Our study reveals that EWM practitioners perceive NWV management in a holistic and highly interconnected way. Numerous influencing factors as well as risks and challenges to achieving outcomes were identified by participants, including many unrelated to water. Survey responses highlighted six areas to improve EWM for NWV outcomes: (1) flow regimes, (2) vegetation attributes, (3) non-flow drivers, (4) management-governance considerations, (5) functions and values, and (6) monitoring, evaluation and research. These suggest a need for more than 'just water' when it comes to the restoration and management of NWV. Our findings indicate more integrated land-water governance and management is urgently required to address the impacts of non-flow drivers such as pest species, land-use change and climate change. The results also indicate that inherent complexity in EWM for ecological outcomes has been poorly addressed, with a need to tackle social-ecological constraints to improve EWM outcomes.","Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Cherie Campbell reports financial support was provided by Australian Government Research Training Program (RTP) Scholarship. Cherie Campbell reports financial support was provided by Australian Commonwealth Environmental Water Office (CEWO). Siwan Lovett reports a relationship with Australian River Restoration Centre that includes: employment. Samantha Capon reports a relationship with Eco Logical Australia Pty Ltd that includes: employment. Ross Thompson reports a relationship with Australian Commonwealth Environmental Water Office (CEWO) that includes: funding grants. Fiona Dyer reports a relationship with Australian Commonwealth Environmental Water Office (CEWO) that includes: funding grants. Siwan Lovett reports a relationship with Australian Commonwealth Environmental Water Office (CEWO) that includes: funding grants. All the authors have, over many years, received funding from various Australian government departments, such as the Murray Darling Basin Authority and the Commonwealth Environmental Water Office, to undertake river and wetland research, and to provide advice on technical issues and policy implications. Siwan Lovett is managing director of the not-for-profit Australian River Restoration Centre. Samantha J. Capon is a senior consultant with Eco Logical Australia Pty Ltd. Ross Thompson, Fiona Dyer and Siwan Lovett have all received funding from the Australian Commonwealth Environmental Water Office (CEWO) though not specifically in relation to this study. Acknowledgements We thank survey respondents for their time, thoughtful responses and willingness to share their experience and expertise.","CC received funding from an Australian Government Research Training Program (RTP) Scholarship as well as top-up funding through the Australian Commonwealth Environmental Water Office's (CEWO) Basin-scale Monitoring Evaluation and Research project (Flow-MER). CEWO had no involvement in the study design, in the collection, analysis and interpretation of data, in the writing of the report, or decision to publish the research. RT, SC, SL and FD did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors to undertake this research, though RT, SL and FD all received funding from CEWO as part of the Flow-MER project.",Journal of Environmental Management,,,Humans; Water; Conservation of Natural Resources; Australia; Water Supply; Ecosystem; Rivers,2023-11-03,2023,2023-11-03,2023-12,348,,119499,All OA; Hybrid,Article,"Campbell, Cherie J; Lovett, Siwan; Capon, Samantha J; Thompson, Ross M; Dyer, Fiona J","Campbell, Cherie J (Centre for Applied Water Science, Institute for Applied Ecology, Faculty of Science and Technology, University of Canberra, Bruce, Australian Capital Territory, 2601, Australia. Electronic address: Cherie.Campbell@canberra.edu.au.); Lovett, Siwan (Australian River Restoration Centre, Canberra, Australian Capital Territory, 2601, Australia.); Capon, Samantha J (Australian Rivers Institute, Griffith University, Nathan, Queensland, 4111, Australia.); Thompson, Ross M (Centre for Applied Water Science, Institute for Applied Ecology, Faculty of Science and Technology, University of Canberra, Bruce, Australian Capital Territory, 2601, Australia.); Dyer, Fiona J (Centre for Applied Water Science, Institute for Applied Ecology, Faculty of Science and Technology, University of Canberra, Bruce, Australian Capital Territory, 2601, Australia.)","Campbell, Cherie J (University of Canberra)","Campbell, Cherie J (University of Canberra); Lovett, Siwan (Australian River Restoration Centre, Canberra, Australian Capital Territory, 2601, Australia.); Capon, Samantha J (Griffith University); Thompson, Ross M (University of Canberra); Dyer, Fiona J (University of Canberra)",0,0,,,https://doi.org/10.1016/j.jenvman.2023.119499,https://app.dimensions.ai/details/publication/pub.1165578405,41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation,15 Life on Land
4141,pub.1145453803,10.7717/peerj.12920,35186494,PMC8841034,The effect of farmland on the surface water of the Aral Sea Region using Multi-source Satellite Data,"BACKGROUND: The improper land utilization has brought tremendous pressure on the surface water of the Aral Sea Region in the past decades. It was seriously hindered for construction of the Green Silk Road Economic Belt by the fragile environment. Therefore, it is of great necessity for environmental protection and social development to monitor the change of surface water in the Aral Sea Region.
METHODS: In this study, LandTrendr algorithm was used on Landsat time-series data to characterize the change in farmland on the Google Earth Engine platform. Based on multi-source data, the water area changes of the Aral Sea were extracted based on the Google Earth Engine, and the mean method was utilized to extract the changes in water level and water storage. Finally, a water-farmland coupling degree model was utilized to evaluate the impact of farmland changes on the surface water in the Aral Sea Region.
RESULTS: As a result, the change of farmland is as follows: the farmland area of the Aral Sea Region has abandoned 3,129 km2 from 1987 to 2019, with overall accuracy of 85.3%. The farmland change had increased the drainage downstream of the Amu Darya River and the Syr Darya River. It has led area of the Aral Sea to decrease each year continuously. The area of the Aral Sea shrank by 1,606.36 km2 per year from 1987 to 2019. Furthermore, Aral Sea's water level decreased by 0.13 m per year from 2003 to 2009. The amount of water storage in the Aral Sea Region also showed a downward trend from 2002 to 2016. There was a high-quality coupling coordination 0.903 relationship between surface water and farmland. It will increase the burden of water for people's normal daily life by the water loss resources caused by abandoned farmland. This study emphasized threat of unreasonable farmland management to surface water of the Aral Sea Region. The findings contributed for decision makers to formulating effective reasonable policies to protect surface water and use land of the Aral Sea Region. Meanwhile, the application of coupling degree model can provide a new method for studying the connection of independent systems in the farmland, water, environment and more.","The authors received funding from the National Natural Science Foundation of China: 41971310. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",,PeerJ,,Chenxi Li,Humans; Water; Farms; Seawater; Conservation of Natural Resources; Rivers,2022-02-10,2022,2022-02-10,,10,,e12920,All OA; Gold,Article,"Shi, Jiancong; Guo, Qiaozhen; Zhao, Shuang; Su, Yiting; Shi, Yanqing","Shi, Jiancong (School of Geology and Geomatis, Tianjin Chengjian University, Tianjin, China; Coal Industry Taiyuan Design and Research Institute Group Co., Ltd., Taiyuan, China); Guo, Qiaozhen (School of Geology and Geomatis, Tianjin Chengjian University, Tianjin, China); Zhao, Shuang (School of Geology and Geomatis, Tianjin Chengjian University, Tianjin, China); Su, Yiting (Department of Surveying and Land Use, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China); Shi, Yanqing (School of Geology and Geomatis, Tianjin Chengjian University, Tianjin, China)","Guo, Qiaozhen (Tianjin Chengjian University)","Shi, Jiancong (Tianjin Chengjian University; Coal Industry Taiyuan Design and Research Institute (China)); Guo, Qiaozhen (Tianjin Chengjian University); Zhao, Shuang (Tianjin Chengjian University); Su, Yiting (China University of Mining and Technology); Shi, Yanqing (Tianjin Chengjian University)",1,1,,0.85,https://doi.org/10.7717/peerj.12920,https://app.dimensions.ai/details/publication/pub.1145453803,37 Earth Sciences; 3704 Geoinformatics,
4141,pub.1152000253,10.1007/s10661-022-10580-0,36255536,,Entropy-assisted approach to determine priorities in water quality monitoring process,"Abstract
Effective determination of water quality and water pollution assessment is crucial and challenging processes. Evaluating water quality in rivers, researchers have referred to various statistical, probabilistic and stochastic methods to obtain efficient information from the monitoring network. As data are greatly random, the information content can be obtained by utilizing various methods including but not limited to the “entropy.” Monitoring is a difficult process due to high measurement costs, while it is also difficult to optimize the network in terms of time, space, and especially the variable to be monitored. In the presented study, it is aimed to create an effective approach to be used in optimizing the monitoring network by determining the “prior” variables by entropy that measures the uncertainty by using all the data without time difference. The presented study proposes an alternative method to define the water quality variables that should be monitored much more frequently. Study is exemplified for demonstrating its potential use in a case study level, Grand River in Canada, by assessing water quality data obtained from 15 water quality monitoring stations. Results showed that BOD, Cl, and NO2-N among examined 8 different variables are as the “prior” variables should be monitored. It is being proven that the prior variable that should be monitored for optimization of the network can be easily determined with the information obtained from the data statistically evaluated with entropy, and it can be stated as an effective method for managers to use in the decision-making process.","The presented study was carried on with the open source data from the https://open.canada.ca/data/en/dataset/967a942d-9397-4e7c-8f42-77fc422c0a37 link in the scope of the “Open Government Licence – Ontario” that can be found in [https://www.ontario.ca/page/open-government-licence-ontario] link, so the author kindly thanks the related authorities of the Government of Ontario.",,Environmental Monitoring and Assessment,,,Water Quality; Entropy; Environmental Monitoring; Nitrogen Dioxide; Rivers,2022-10-18,2022,2022-10-18,2022-12,194,12,917,Closed,Article,"Barbaros, Filiz","Barbaros, Filiz (Faculty of Engineering, Department of Civil Engineering, Dokuz Eylul University, Tinaztepe Campus, Buca, Izmir, Turkey)","Barbaros, Filiz (Dokuz Eylül University)","Barbaros, Filiz (Dokuz Eylül University)",1,1,,0.53,,https://app.dimensions.ai/details/publication/pub.1152000253,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,
4140,pub.1113955495,10.1016/j.envpol.2019.04.129,31091494,,Climate change will pose challenges to water quality management in the st. Croix River basin,"Responses of streamflow and nutrient export to changing climate conditions should be investigated for effective water quality management and pollution control. Using downscaled climate projections and the Soil and Water Assessment Tool (SWAT), we projected future streamflow, sediment export, and riverine nutrient export in the St. Croix River Basin (SCRB) during 2020-2099. Results show substantial increases in riverine water, sediment, and nutrient load under future climate conditions, particularly under the high greenhouse gas emission scenario. Intensified water cycling and enhanced nutrient export will pose challenges to water quality management and affect multiple Best Management Practices (BMPs) efforts, which are aimed at reducing nutrient loads in SCRB. In addition to the physical impacts of climate change on terrestrial hydrology, our analyses demonstrate significant reductions in ET under elevated atmospheric CO2 concentrations. Changes in plant physiology induced by climate change may markedly affect water cycling and associated sediment and nutrient export. Results of this study highlight the importance of examining climate change impacts on water and nutrient delivery for effective watershed management.","This work was sponsored by the NASA (grant number NNX17AE66G) and USDA (grant numbers 2017-67003-26484, 2017-67003-26485) interagency carbon cycle science program, NASA New Investigator Award (grant number NNH13ZDA001N), NSF INFEWS (grant number 1639327), and DOE Subsurface Biogeochemistry Research Program. Xuesong Zhang received additional support from the DOE Great Lakes Bioenergy Research Center (grant numbers DOE BER Office of Science DE-FC02-07ER64494, DOE BER Office of Science KP1601050, DOE EERE OBP 20469-19145). Funds to construct the SCRB SWAT model were provided by a National Park Service Centennial Challenge Grant (grant number J659005002C, mod. 3) to the Science Museum of Minnesota (J.E. Almendinger), with matching funds provided by the Metropolitan Council and the Minnesota Pollution Control Agency. We acknowledge the World Climate Research Programme&#x27;s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in Table S4 of this paper) for producing and making available their model output. For CMIP the U.S. Department of Energy&#x27;s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.",,Environmental Pollution,,,"Climate Change; Conservation of Water Resources; Hydrodynamics; Minnesota; Models, Theoretical; Rivers; Water Cycle; Water Pollutants; Water Quality; Wisconsin",2019-05-07,2019,2019-05-07,2019-08,251,,302-311,All OA; Hybrid,Article,"Yang, Qichun; Zhang, Xuesong; Almendinger, James E; Huang, Maoyi; Chen, Xingyuan; Leng, Guoyong; Zhou, Yuyu; Zhao, Kaiguang; Asrar, Ghassem R; Li, Xia","Yang, Qichun (Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, 20740, USA.); Zhang, Xuesong (Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, 20740, USA; Earth System Sciences Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA. Electronic address: xuesong.zhang@pnnl.gov.); Almendinger, James E (St. Croix Watershed Research Station, Science Museum of Minnesota, 16910 152nd St. N, Marine on St. Croix, MN, 55082, USA.); Huang, Maoyi (Earth System Analysis and Modeling Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.); Chen, Xingyuan (Atmospheric Measurement & Data Sciences Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.); Leng, Guoyong (Earth System Analysis and Modeling Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.); Zhou, Yuyu (Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, 50011, USA.); Zhao, Kaiguang (School of Environment & Natural Resources, The Ohio State University, Wooster, OH, 44691, USA.); Asrar, Ghassem R (Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, 20740, USA.); Li, Xia (Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA.)","Zhang, Xuesong (Joint Global Change Research Institute; Earth System Science Interdisciplinary Center)","Yang, Qichun (Joint Global Change Research Institute); Zhang, Xuesong (Joint Global Change Research Institute; Earth System Science Interdisciplinary Center); Almendinger, James E (Science Museum of Minnesota); Huang, Maoyi (Pacific Northwest National Laboratory); Chen, Xingyuan (Pacific Northwest National Laboratory); Leng, Guoyong (Pacific Northwest National Laboratory); Zhou, Yuyu (Iowa State University); Zhao, Kaiguang (The Ohio State University); Asrar, Ghassem R (Joint Global Change Research Institute); Li, Xia (University of Maryland, College Park)",18,8,0.44,3.1,http://manuscript.elsevier.com/S0269749118330331/pdf/S0269749118330331.pdf,https://app.dimensions.ai/details/publication/pub.1113955495,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,13 Climate Action
4140,pub.1132898974,10.1016/j.scitotenv.2020.143682,33288252,,River damming and drought affect water cycle dynamics in an ephemeral river based on stable isotopes: The Dagu River of North China,"The flow regime and biogeochemical cycles are greatly affected by river damming and drought, especially in ephemeral rivers. However, the combined effects have been rarely considered. This study, taking the Dagu River in Jiaodong Peninsula of North China as an example, investigated the dynamic changes in water cycle related to river damming and drought using stable water isotopes for the period 2018-2019. The results indicated that river water isotopes significantly varied temporally and spatially. The temporal variations in river water isotopes appeared to be linked with those in precipitation, but the relationship between river water and precipitation isotopes was greatly affected by river damming, river water-groundwater exchange and potential water pollution. Spatially, a single dam exhibited no significant effect on river water isotopes, but the accumulative impacts of cascade dams resulted in the enrichment of heavy isotopes in river water towards the downstream through increasing hydraulic residence time and water evaporation largely. The inter-annual variations in river water isotopes with increased evaporative fractionation were highlighted by their strong response to the drought in 2019. The combined effects of cascade dams and drought greatly changed water cycle dynamics and further exacerbated water shortage, which should thus be fully considered for water resource management, especially for regions with water-limited but heavily-regulated rivers.",We are greatly thankful to the Editor Dr. Jurgen Mahlknecht and the five anonymous reviewers for their valuable comments and suggestions. This work was supported by the National Natural Science Foundation of China (41671473).,,The Science of The Total Environment,,,,2020-11-24,2020,2020-11-24,2021-03,758,,143682,All OA; Green,Article,"Jiang, Dejuan; Li, Zhi; Luo, Yongming; Xia, Yun","Jiang, Dejuan (Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China. Electronic address: djjiang@yic.ac.cn.); Li, Zhi (State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.); Luo, Yongming (Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.); Xia, Yun (Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.)","Jiang, Dejuan (Yantai Institute of Coastal Zone Research; Chinese Academy of Sciences)","Jiang, Dejuan (Yantai Institute of Coastal Zone Research; Chinese Academy of Sciences); Li, Zhi (State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.); Luo, Yongming (Yantai Institute of Coastal Zone Research; Chinese Academy of Sciences); Xia, Yun (Yantai Institute of Coastal Zone Research; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China.)",18,17,0.33,3.91,http://ir.yic.ac.cn/bitstream/133337/30518/1/River%20damming%20and%20drought%20affect%20water%20cycle%20dynamics%20in%20an%20ephemeral%20river%20based%20on%20stable%20isotopes%20The%20Dagu%20River%20of%20North%20China.pdf,https://app.dimensions.ai/details/publication/pub.1132898974,37 Earth Sciences; 3707 Hydrology,14 Life Below Water
4138,pub.1085135762,10.1007/s00267-017-0861-0,28474208,,Adaptive Management of Return Flows: Lessons from a Case Study in Environmental Water Delivery to a Floodplain River,"For many floodplain rivers, reinstating wetland connectivity is necessary for ecosystems to recover from decades of regulation. Environmental return flows (the managed delivery of wetland water to an adjacent river) can be used strategically to facilitate natural ecosystem connectivity, enabling the transfer of nutrients, energy, and biota from wetland habitats to the river. Using an informal adaptive management framework, we delivered return flows from a forested wetland complex into a large lowland river in south-eastern Australia. We hypothesized that return flows would (a) increase river nutrient concentrations; (b) reduce wetland nutrient concentrations; (c) increase rates of ecosystem metabolism through the addition of potentially limiting nutrients, causing related increases in the concentration of water column chlorophyll-a; and (d) increase the density and species richness of microinvertebrates in riverine benthic habitats. Our monitoring results demonstrated a small increase in the concentrations of several key nutrients but no evidence for significant ecological responses was found. Although return flows can be delivered from forested floodplain areas without risking hypoxic blackwater events, returning nutrient and carbon-rich water to increase riverine productivity is limited by the achievable scale of return flows. Nevertheless, using return flows to flush carbon from floodplains may be a useful management tool to reduce carbon loads, preparing floodplains for subsequent releases (e.g., mitigating the risk of hypoxic blackwater events). In this example, adaptive management benefited from a semi-formal collaboration between science and management that allowed for prompt decision-making.","We are grateful to many people who assisted with the planning and implementation of this work including various industry partners listed in this manuscript. Bradley Clarke-Wood, Jo Ocock, Carmen Amos, Erin Lennon, and Rohan Rehwinkel assisted with fieldwork. Claire Sives, Phil Morris, and Martin Forrest assisted with microinvertebrate processing. Site figure provided by the Spatial Analysis Network (SPAN) at Charles Sturt University. This research was funded by the Commonwealth Environmental Water Office under the Long-Term Intervention Monitoring program. The views and conclusions expressed in this paper are those of the authors and do not necessarily represent the official policies, either expressed or implied, by the respective organizations.",,Environmental Management,,,Animals; Australia; Biota; Carbon; Conservation of Natural Resources; Ecology; Ecosystem; Environmental Monitoring; Hydrology; Invertebrates; Rivers; Water Movements; Water Pollutants; Water Pollution; Wetlands,2017-05-04,2017,2017-05-04,2018-03,61,3,481-496,Closed,Article,"Wolfenden, Benjamin J.; Wassens, Skye M.; Jenkins, Kim M.; Baldwin, Darren S.; Kobayashi, Tsuyoshi; Maguire, James","Wolfenden, Benjamin J. (Institute of Land Water and Society, Charles Sturt University, PO Box 789, 2640, Albury, Australia); Wassens, Skye M. (Institute of Land Water and Society, Charles Sturt University, PO Box 789, 2640, Albury, Australia); Jenkins, Kim M. (Institute of Land Water and Society, Charles Sturt University, PO Box 789, 2640, Albury, Australia); Baldwin, Darren S. (Institute of Land Water and Society, Charles Sturt University, PO Box 789, 2640, Albury, Australia; CSIRO Land and Water and the Murray–Darling Freshwater Research Centre, La Trobe University, 3689, Wodonga, VIC, Australia); Kobayashi, Tsuyoshi (Institute of Land Water and Society, Charles Sturt University, PO Box 789, 2640, Albury, Australia; Science Division, Office of Environment and Heritage NSW, PO Box A290, 1232, Sydney South, NSW, Australia); Maguire, James (Regional Operations Group (South Branch), Office of Environment and Heritage NSW, PO Box 544, 2640, Albury, NSW, Australia)","Wolfenden, Benjamin J. (Charles Sturt University)","Wolfenden, Benjamin J. (Charles Sturt University); Wassens, Skye M. (Charles Sturt University); Jenkins, Kim M. (Charles Sturt University); Baldwin, Darren S. (Charles Sturt University; La Trobe University); Kobayashi, Tsuyoshi (Charles Sturt University; New South Wales Department of Planning and Environment); Maguire, James (Regional Operations Group (South Branch), Office of Environment and Heritage NSW, PO Box 544, 2640, Albury, NSW, Australia)",9,2,0.19,0.97,,https://app.dimensions.ai/details/publication/pub.1085135762,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4102 Ecological Applications; 4104 Environmental Management,14 Life Below Water
4138,pub.1103625383,10.1016/j.scitotenv.2018.04.163,29710612,,An estimate of human and natural contributions to changes in water resources in the upper reaches of the Minjiang River,"Climate change and human activities have changed the spatial-temporal distribution of water resources, especially in a fragile ecological area such as the upper reaches of the Minjiang River (UMR) basin, where they have had a more profound effect. The average of double-mass curve (DMC) and Distributed Time-Variant Gain Hydrological Model (DTVGM) are applied to distinguish between the impacts of climate change and human activities on water resources in this paper. Results indicated that water resources decreased over nearly 50 years in the UMR. At the annual scale, contributions of human activities and climate change to changes in discharge were -77% and 23%, respectively. In general, human activities decreased the availability of water resources, whereas climate change increased the availability of water resources. However, the impacts of human activities and climate change on water resources availability were distinctly different on annual versus seasonal scales, and they showed more inconsistency in summer and autumn. The main causes of decreasing water resources are reservoir regulation, and water use increases due to population growth. The results of this study can provide support for water resource management and sustainable development in the UMR basin.","Funding: This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Nos. XDA19070104, XDA20060401), the Natural Science Foundation of China (No. 41475093), the Intergovernmental Key International ST Innovation Cooperation Program (No. 2016YFE0102400) and the State Key Laboratory of Earth Surface Processes and Resource Ecology Open Research Program (No. 2017-KF-17).",,The Science of The Total Environment,,,,2018-04-24,2018,2018-04-24,2018-09,635,,901-912,Closed,Article,"Hou, Jingwen; Ye, Aizhong; You, Jinjun; Ma, Feng; Duan, Qingyun","Hou, Jingwen (State Key Laboratory of Earth Surface and Ecological Resources, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China); Ye, Aizhong (State Key Laboratory of Earth Surface and Ecological Resources, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China); You, Jinjun (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China); Ma, Feng (State Key Laboratory of Earth Surface and Ecological Resources, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China); Duan, Qingyun (State Key Laboratory of Earth Surface and Ecological Resources, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)","Ye, Aizhong (Beijing Normal University)","Hou, Jingwen (Beijing Normal University); Ye, Aizhong (Beijing Normal University); You, Jinjun (China Institute of Water Resources and Hydropower Research); Ma, Feng (Beijing Normal University); Duan, Qingyun (Beijing Normal University)",29,14,0.35,4.71,,https://app.dimensions.ai/details/publication/pub.1103625383,37 Earth Sciences; 3707 Hydrology,13 Climate Action
4138,pub.1084020297,10.1007/s00267-017-0837-0,28280912,,Identifying Critical Habitat for Australian Freshwater Turtles in a Large Regulated Floodplain: Implications for Environmental Water Management,"Freshwater turtles face many threats, including habitat loss and river regulation reducing occupancy and contributing to population decline. Limited knowledge of hydrological conditions required to maintain viable turtle populations in large floodplain wetlands hinders effective adaptive management of environmental water in regulated rivers. We surveyed three turtle species over 4 years across the Lower Murrumbidgee River floodplain, a large wetland complex with a long history of water resource development. Using site and floodplain metrics and generalized linear models, within a Bayesian Model Averaging framework, we quantified the main drivers affecting turtle abundance. We also used a hierarchical modeling approach, requiring large sample sizes, quantifying possible environmental effects while accounting for detection probabilities of the eastern long-necked turtle (Chelodina longicollis). The three species varied in their responses to hydrological conditions and connectivity to the main river channel. Broad-shelled turtles (Chelodina expansa) and Macquarie River turtles (Emydura macquarii macquarii) had restricted distributions, centered on frequently inundated wetlands close to the river, whereas the eastern long-necked turtles were more widely distributed, indicating an ability to exploit variable habitats. We conclude that turtle communities would benefit from long-term management strategies that maintain a spatiotemporal mosaic of hydrological conditions. More specifically, we identified characteristics of refuge habitats and stress the importance of maintaining their integrity during dry periods. Neighboring habitats can be targeted during increased water availability years to enhance feeding and dispersal opportunities for freshwater turtles.","Funding for the wetland surveys was provided by the NSW Government and Australian Government’s Water for the Future—Water Smart Australia Program through the Rivers Environmental Restoration Program (RERP) (2008–2010), NSW Catchment Action Program (2010–2011), and Commonwealth Environmental Water Holder Short-term Intervention Monitoring Program (2013–2014). We thank numerous field assistants, including Richard Allman and Erin Lenon, Simon Hunter for distance calculations, and James Maguire for commenting on water management in the Murrumbidgee. The authors of this paper respectfully acknowledge the traditional owners, their Elders past and present, their Nations of the Murray–Darling Basin, and their cultural, social, environmental, spiritual, and economic connection to their lands and waters. In particular the Wiradjuri, Narri Narri, and Muthi Muthi peoples, traditional owners of the land on which this publication is focused. The 2008–2011 field surveys were approved under NSW National Parks and Wildlife Service Scientific Licence S13080 and S12700, NSW Fisheries license F89/1598, and NSW Animal Ethics Committee approval ACEC 06/08. The 2013–2014 field surveys were approved under NSW National Parks and Wildlife Service Scientific Licence 100441, NSW Fisheries license P11/0043-11, and Charles Sturt University Animal Care and Ethics Committee 13/059.",,Environmental Management,,,"Animals; Australia; Bayes Theorem; Conservation of Water Resources; Ecosystem; Environmental Monitoring; Fresh Water; Hydrology; Models, Biological; Turtles; Wetlands",2017-03-09,2017,2017-03-09,2018-03,61,3,375-389,Closed,Article,"Ocock, J. F.; Bino, G.; Wassens, S.; Spencer, J.; Thomas, R. F.; Kingsford, R. T.","Ocock, J. F. (Institute of Land, Water and Society, Charles Sturt University, 2640, Albury, NSW, Australia; Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW Australia, 2052, Sydney, NSW, Australia; Water, Wetlands and Coast Science Branch, Science Division, NSW Office of Environment and Heritage, PO Box A290, 1232, Sydney South, NSW, Australia); Bino, G. (Institute of Land, Water and Society, Charles Sturt University, 2640, Albury, NSW, Australia; Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW Australia, 2052, Sydney, NSW, Australia); Wassens, S. (Institute of Land, Water and Society, Charles Sturt University, 2640, Albury, NSW, Australia); Spencer, J. (Institute of Land, Water and Society, Charles Sturt University, 2640, Albury, NSW, Australia; Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW Australia, 2052, Sydney, NSW, Australia; Water, Wetlands and Coast Science Branch, Science Division, NSW Office of Environment and Heritage, PO Box A290, 1232, Sydney South, NSW, Australia); Thomas, R. F. (Institute of Land, Water and Society, Charles Sturt University, 2640, Albury, NSW, Australia; Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW Australia, 2052, Sydney, NSW, Australia; Water, Wetlands and Coast Science Branch, Science Division, NSW Office of Environment and Heritage, PO Box A290, 1232, Sydney South, NSW, Australia); Kingsford, R. T. (Centre for Ecosystem Science, School of Biological, Earth & Environmental Sciences, UNSW Australia, 2052, Sydney, NSW, Australia)","Ocock, J. F. (Charles Sturt University; UNSW Sydney; New South Wales Department of Planning and Environment)","Ocock, J. F. (Charles Sturt University; UNSW Sydney; New South Wales Department of Planning and Environment); Bino, G. (Charles Sturt University; UNSW Sydney); Wassens, S. (Charles Sturt University); Spencer, J. (Charles Sturt University; UNSW Sydney; New South Wales Department of Planning and Environment); Thomas, R. F. (Charles Sturt University; UNSW Sydney; New South Wales Department of Planning and Environment); Kingsford, R. T. (UNSW Sydney)",19,8,0.34,2.2,,https://app.dimensions.ai/details/publication/pub.1084020297,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4104 Environmental Management,
4138,pub.1091980297,10.2175/106143017x15023776270557,28954674,,"Stream, Lake, and Reservoir Management","This review on stream, lake, and reservoir management covers selected 2016 publications on the focus of the following sections: Stream, lake, and reservoir management • Water quality of stream, lake, and reservoir • Reservoir operations • Models of stream, lake, and reservoir • Remediation and restoration of stream, lake, and reservoir • Biota of stream, lake, and reservoir • Climate effect of stream, lake, and reservoir.",,,Water Environment Research,,,Conservation of Natural Resources; Environmental Monitoring; Lakes; Rivers; Water Pollution; Water Quality; Water Supply,2017-10,2017,2017-10,2017-10,89,10,1517-1541,All OA; Bronze,Article,"Dai, Jingjing; Mei, Ying; Chang, Chein-Chi","Dai, Jingjing (); Mei, Ying (); Chang, Chein-Chi ()",,"Dai, Jingjing (); Mei, Ying (); Chang, Chein-Chi ()",1,1,,,https://onlinelibrary.wiley.com/doi/pdfdirect/10.2175/106143017X15023776270557,https://app.dimensions.ai/details/publication/pub.1091980297,31 Biological Sciences; 34 Chemical Sciences; 40 Engineering,
4137,pub.1163972386,10.1038/s41597-023-02515-2,37689730,PMC10492819,Reservoir inventory for China in 2016 and 2021,"Reservoir inventories are essential for investigating the impact of climate change and anthropogenic activities on water scape changes. They provide fundamental data sources to explore the sustainability and management efficiency of water resources. However, publicly released reservoir inventories are currently limited to a single temporal domain. As a result, the effectiveness of governmental policy implementation on water resources remains to be explored due to the lack of multi-time datasets. In this study, we generated a reservoir inventory for China for the years 2016 and 2021 with an overall accuracy of 99.71%. The reservoirs were visually interpreted from annually composited Landsat images, and each reservoir is represented by a polygon with attributes of reservoir name, area and storage capacity. About 10.32% of the reservoirs have increased storage capacity from 2016 to 2021, while 22.73% have decreased. Most provinces and river basins in China have expanded their accumulated storage capacity from 2016 to 2021.","This work was supported by the National Key R&amp;D Program of China (No. 2022YFC3800701), the Youth Innovation Promotion Association, CAS (2022122), the China-ASEAN Big Earth Data Platform and Applications (CADA, guikeAA20302022). The work was also supported by CAS-TWAS Centre of Excellence on Space Technology for Disaster Mitigation.",,Scientific Data,,,,2023-09-09,2023,2023-09-09,,10,1,609,All OA; Gold,Article,"Zhang, Haiying; Chen, Fang; Wang, Lei; Wang, Ning; Yu, Bo","Zhang, Haiying (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100094, Beijing, China); Chen, Fang (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100094, Beijing, China; University of Chinese Academy of Sciences, 100049, Beijing, China); Wang, Lei (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100094, Beijing, China; School of Computer Science and Information Security, Guilin University of Electronic Technology, 541004, Guilin, China); Wang, Ning (College of Urban and Environmental Sciences, Peking University, 100871, Beijing, China); Yu, Bo (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, 100094, Beijing, China)","Wang, Lei (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Aerospace Information Research Institute; Guilin University of Electronic Technology); Yu, Bo (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Aerospace Information Research Institute)","Zhang, Haiying (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Aerospace Information Research Institute); Chen, Fang (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Aerospace Information Research Institute; University of Chinese Academy of Sciences); Wang, Lei (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Aerospace Information Research Institute; Guilin University of Electronic Technology); Wang, Ning (Peking University); Yu, Bo (International Research Center of Big Data for Sustainable Development Goals, 100094, Beijing, China; Aerospace Information Research Institute)",0,0,,,https://www.nature.com/articles/s41597-023-02515-2.pdf,https://app.dimensions.ai/details/publication/pub.1163972386,37 Earth Sciences; 3704 Geoinformatics,
4137,pub.1153370474,10.1007/s00267-022-01753-1,36471001,PMC9892146,New York State’s WAVE Method - Evaluation of a Method for Water Quality Monitoring by Citizen Scientists using Benthic Macroinvertebrates,"New York State Department of Environmental Conservation (NYSDEC) has developed a robust citizen science macroinvertebrate sampling method. The metric relies on the presence and not the absence of key macroinvertebrates and therefore is resistant to collection and sorting errors. It identifies unimpaired streams with high confidence (0.1% type 1 errors) and at a reasonable efficiency compared to NYSDEC’s multimetric index of biological integrity (54%). We rank remaining stream samples for further investigation using a calculated probability of impairment. This method is valuable as a tool for large monitoring programs with limited resources for quality assurance checks. The value of this method goes beyond data collection, however, as data of known quality is an effective communication tool between citizen scientists and state regulatory agencies and/or local decision makers.","The authors thank all the individuals who spent their careers in NY monitoring river and stream water quality. Without them, our rich datasets would not exist as they do today.",,Environmental Management,,,Environmental Monitoring; New York; Rivers; Water Quality; Humans,2022-12-05,2022,2022-12-05,2023-02,71,2,432-438,All OA; Hybrid,Article,"Onion, Alene M.; Smith, Alexander J.; Duffy, Brian T.","Onion, Alene M. (New York State Department of Environmental Conservation, 625 Broadway, 12233, Albany, NY, USA); Smith, Alexander J. (New York State Department of Environmental Conservation, 625 Broadway, 12233, Albany, NY, USA); Duffy, Brian T. (New York State Department of Environmental Conservation, 625 Broadway, 12233, Albany, NY, USA)","Onion, Alene M. (New York State Department of Environmental Conservation)","Onion, Alene M. (New York State Department of Environmental Conservation); Smith, Alexander J. (New York State Department of Environmental Conservation); Duffy, Brian T. (New York State Department of Environmental Conservation)",0,0,,0.0,https://link.springer.com/content/pdf/10.1007/s00267-022-01753-1.pdf,https://app.dimensions.ai/details/publication/pub.1153370474,31 Biological Sciences; 41 Environmental Sciences; 4104 Environmental Management,
4136,pub.1123790724,10.7717/peerj.8285,31915582,PMC6942682,Basic and target eco-environment water requirements of a dry inland river under typical flow frequencies in China,"Analysis of eco-environmental water requirements (EEWRs) and water resource allocation strategies for arid, inland river basins can provide the theoretical basis for sustainable water utilization and management. In this paper, an optimal water resource allocation strategy is proposed for Yarkand River Basin in Xinjiang, China, on the basis of a comprehensive analysis of runoff data collected between 1970 and 2016, three ecological environmental protection goals, basic eco-environmental water requirement (BEEWR) aimed at sustaining aquatic ecosystems within the river, and target eco-environmental water requirements (TEEWR) aimed at protecting various types of riparian vegetation along the river. The results showed that: (1) after the runoff in Kaqun reach subtracting the BEEWR, the annual average river loss (recharge), and the amount of water diversion for irrigation (51.43 × 108 m3) from flows along the Kaqun reach, the remaining water volume during wet years was able to meet all three TEEWRs; (2) during moderately wet years, the remaining water was capable of meeting the second and third TEEWRs; and (3) during dry and extremely dry years, there was little or no residual water available to meet TEEWRs. The proposed optimal water resource allocation strategy, based on the above findings, states that the water diversion requirement for irrigation and domestic use allocated from the total amount of runoff should not exceed the National Water Policy (Three Red Lines) standard first. Then, the BEEWR allocated from the runoff should be met second, and the annual average river loss, third. Depending on the amount of remaining water, the second and third TEEWRs can be fulfilled during wet years, but during moderately wet years, only the third TEEWR can be met. During dry and extremely dry years, only the BEEWR of the river can be met and only during the flood season.","This study was financially supported by the Thousand Talent Program for Young Outstanding Scientists of China (No. Y971071). We are grateful for the help provided by Aisikaer·Wuxiuer, Jianfei Ren and Jianhong Niu from Xinjiang Tarim River Basin Kashi Management Bureau, Shache, Xinjiang, China for collecting the relevant data in the Yarkand River Basin. The Thousand Talent Program for Young Outstanding Scientists of China helped draw the figures in the Yarkand River Basin.",,PeerJ,,Jianhua Xu,,2020-01-02,2020,2020-01-02,,8,,e8285,All OA; Gold,Article,"Fu, Aihong; Li, Weihong; Wang, Yi; Bai, Yifei","Fu, Aihong (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China; University of Chinese Academy of Sciences, Beijing, China); Li, Weihong (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China); Wang, Yi (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China); Bai, Yifei (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China)","Li, Weihong (Xinjiang Institute of Ecology and Geography); Wang, Yi (Xinjiang Institute of Ecology and Geography)","Fu, Aihong (Xinjiang Institute of Ecology and Geography; University of Chinese Academy of Sciences); Li, Weihong (Xinjiang Institute of Ecology and Geography); Wang, Yi (Xinjiang Institute of Ecology and Geography); Bai, Yifei (Xinjiang Institute of Ecology and Geography)",1,0,,0.2,https://doi.org/10.7717/peerj.8285,https://app.dimensions.ai/details/publication/pub.1123790724,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4135,pub.1090855886,10.1007/s10661-017-6125-x,28733786,,Developing an environmental water quality monitoring program for Haraz River in Northern Iran,"Water quality management plans are an indispensable strategy for conservation and utilization of water resources in a sustainable manner. One common industrial use of water is aquaculture. The present study is an attempt to use statistical analyses in order to prepare an environmental water quality monitoring program for Haraz River, in Northern Iran. For this purpose, the analysis of a total number of 18 physicochemical parameters was performed at 15 stations during a 1-year sampling period. According to the results of the multivariate statistical methods, the optimal monitoring would be possible by only 3 stations and 12 parameters, including NH3, EC, BOD, TSS, DO, PO4, NO3, TDS, temperature, turbidity, coliform, and discharge. In other words, newly designed network, with a total number of 36 measurements (3 stations × 12 parameters = 36 parameters), could achieve exactly the same performance as the former network, designed based on 234 measurements (13 stations × 18 parameters = 234 parameters). Based on the results of cluster, principal component, and factor analyses, the stations were divided into three groups of high pollution (HP), medium pollution (MP), and low pollution (LP). By clustering the stations, it would be possible to track the water quality of Haraz River, only by one station at each cluster, which facilitates rapid assessment of the water quality in the river basin. Emphasizing on three main axes of monitoring program, including measurement parameters, sampling frequency, and spatial pattern of sampling points, the water quality monitoring program was optimized for the river basin based on natural conditions of the study area, monitoring objectives, and required financial resources (a total annual cost of about US $2625, excluding the overhead costs).",The authors hereby express their deepest gratitude to Mazandaran Department of Environmental Protection as well as Amol Approved Testing Laboratory because of their sincere cooperation in sampling process and analysis of the samples.,,Environmental Monitoring and Assessment,,,"Aquaculture; Cluster Analysis; Conservation of Natural Resources; Environmental Monitoring; Factor Analysis, Statistical; Iran; Rivers; Water Pollutants, Chemical; Water Quality; Water Resources",2017-07-22,2017,2017-07-22,2017-08,189,8,410,Closed,Article,"Tavakol, Mitra; Arjmandi, Reza; Shayeghi, Mansoureh; Monavari, Seyed Masoud; Karbassi, Abdolreza","Tavakol, Mitra (Department of Environmental Science, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran); Arjmandi, Reza (Department of Environmental Science, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran); Shayeghi, Mansoureh (Department of Medical Entomology and Vector Control, School of Public Health, Tehran University, Tehran, Iran); Monavari, Seyed Masoud (Department of Environmental Science, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran); Karbassi, Abdolreza (Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, Tehran, Iran)","Tavakol, Mitra (Islamic Azad University, Science and Research Branch)","Tavakol, Mitra (Islamic Azad University, Science and Research Branch); Arjmandi, Reza (Islamic Azad University, Science and Research Branch); Shayeghi, Mansoureh (University of Tehran); Monavari, Seyed Masoud (Islamic Azad University, Science and Research Branch); Karbassi, Abdolreza (University of Tehran)",11,3,0.59,1.47,,https://app.dimensions.ai/details/publication/pub.1090855886,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4133,pub.1092578446,10.1007/s11356-017-0675-x,29116539,,Watershed prioritization in the upper Han River basin for soil and water conservation in the South-to-North Water Transfer Project (middle route) of China,"Watershed prioritization with the objective of identifying critical areas to undertake soil and water conservation measures was conducted in the upper Han River basin, the water source area of approximately 95,000 km2 for the middle route of China’s South-to-North Water Transfer Project. Based on the estimated soil erosion intensity in uplands and clustering analysis of measured nutrient concentrations in rivers, the basin was grouped into very-high-, high-, moderate-, and low-priority regions for water and soil conservation, respectively. The results indicated that soil erosion was primarily controlled by topography, and nutrients in rivers were associated with land use and land cover in uplands. Also, there was large spatial disparity between soil erosion intensity in the uplands and nutrient concentrations in the rivers across the basin. Analysis was then performed to prioritize the basin by the integration of the soil erosion intensity and water quality on a GIS platform in order to identify critical areas for water and soil conservation in the basin. The identified high-priority regions which occupy 5.74% of the drainage areas need immediate attention for soil and water conservation treatments, of which 5.28% is critical for soil erosion prevention and 0.46% for water conservation. Understandings of the basin environment and pollutant loading with spatial explicit are critical to the soil and water resource conservation for the interbasin water transfer project.",,The research is supported by a doctoral scholarship.,Environmental Science and Pollution Research,,,China; Conservation of Natural Resources; Conservation of Water Resources; Environmental Monitoring; Rivers; Soil,2017-11-08,2017,2017-11-08,2018-01,25,3,2231-2238,Closed,Article,"Wu, Haibing","Wu, Haibing (College of Water Sciences, Beijing Normal University, 100875, Beijing, China; Chinese Research Academy of Environmental Sciences, 100012, Beijing, China)","Wu, Haibing (Beijing Normal University; Chinese Research Academy of Environmental Sciences)","Wu, Haibing (Beijing Normal University; Chinese Research Academy of Environmental Sciences)",12,3,0.21,4.13,,https://app.dimensions.ai/details/publication/pub.1092578446,37 Earth Sciences; 3704 Geoinformatics,15 Life on Land
4133,pub.1122954742,10.1007/s10661-019-7974-2,31776793,,Methodological proposal for the allocation of water quality monitoring stations using strategic decision analysis,"In order to fill a gap in the monitoring of water quality in Brazil, the objective of this study was to propose a methodology to support the allocation of water quality monitoring stations in river basins. To achieve this goal, eight criteria were selected and weighted according to their degree of importance. It was taken into account the opinion of water resources management experts. In addition, a decision support system was designed so that the methodology could be used in the allocation of water quality monitoring stations by researchers and management bodies of water resources, to be fully implemented in geographic information system environment. In order to demonstrate the potential of the proposed methodology, which can be used in places that have or not existing monitoring networks, it has been applied in the Minas Gerais portion of the Doce river basin. Because the area already has a monitoring network with 65 stations in operation under the responsibility of the Minas Gerais Water Management Institute (IGAM), an expansion of the network was suggested and a simulation of a scenario was performed considering that the study area did not have an established network. The results of the analyses consisted of maps of suitability, indicating the locations with greater and lesser suitability for the establishment of the stations. With the application of the methodology, seven new sites were proposed so that the study area had the density recommended by the National Water Agency (ANA), and it was verified that the Caratinga River Water Resources Management Unit (UGRH5 Caratinga) has the most deficiency of stations among the six units evaluated in the Minas Gerais portion of the Doce river basin. In the simulated scenario considering the non-existence of a network, the adequacy map obtained was compared with the existing monitoring network and it was possible to classify the stations according to the purpose for which they were established, such as monitoring environments under anthropic activities or establishing benchmarks for the water bodies. Overall, the proposed methodology proved itself robust, and although the results were specific to one basin, the criteria and decision support system used are fully applicable to other areas of study.",,The authors would like to thank the Brazilian Agencies CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico - National Council for Scientific and Technological Development) and Fapemig (Fundação de Amparo à Pesquisa do Estado de Minas Gerais - Foundation for Research Support of the State of Minas Gerais) for its financial support during the research development.,Environmental Monitoring and Assessment,,,Brazil; Decision Support Techniques; Environmental Monitoring; Geographic Information Systems; Resource Allocation; Rivers; Water Pollution; Water Quality,2019-11-28,2019,2019-11-28,2019-12,191,12,776,Closed,Article,"de Souza Fraga, Micael; da Silva, Demetrius David; Alden Elesbon, Abrahão Alexandre; Soares Guedes, Hugo Alexandre","de Souza Fraga, Micael (Universidade Federal de Viçosa, UFV, 36570-900, Viçosa, MG, Brazil); da Silva, Demetrius David (Universidade Federal de Viçosa, UFV, 36570-900, Viçosa, MG, Brazil); Alden Elesbon, Abrahão Alexandre (Instituto Federal do Espírito Santo, IFES, 29700-558, Colatina, ES, Brazil); Soares Guedes, Hugo Alexandre (Universidade Federal de Pelotas, UFPel, 96010-020, Pelotas, RS, Brazil)","de Souza Fraga, Micael (Universidade Federal de Viçosa)","de Souza Fraga, Micael (Universidade Federal de Viçosa); da Silva, Demetrius David (Universidade Federal de Viçosa); Alden Elesbon, Abrahão Alexandre (Instituto Federal do Espírito Santo); Soares Guedes, Hugo Alexandre (Universidade Federal de Pelotas)",10,2,0.81,1.72,,https://app.dimensions.ai/details/publication/pub.1122954742,37 Earth Sciences; 3707 Hydrology,
4130,pub.1167842845,10.1007/s11356-023-31791-z,38206462,,Identifying spatial variability of water chemical characteristics and groundwater discharge in Hulun Lake integrated remote sensing data and chemical components,"The frozen period interaction of groundwater and lakes is crucial for hydrological properties and aquatic ecology in cold and arid regions. In this study, we investigate the spatial hydrochemical characteristics, influencing factors in the Hulun Lake basin. The hydrochemical type of lake water exhibits Na-HCO3-SO4-Cl, while river shows a primary classification of Na-Ca-HCO3. Groundwater in the eastern and western regions is characterized by Na-SO4-Cl and Na-HCO3, respectively. Silicic acid and ion exchange predominantly influence groundwater chemistry in the western region, whereas evaporation and concentration play a major role in the eastern region. Total dissolved solids, Cl−, and F− emerge as the primary influencing factors of hydrochemical components in the Hulun Lake basin. Ion content decreased from the southern to the northern region, with the lowest value occurring near the Urson River. The high-temperature water body is primarily distributed in the central and southern regions of the lake. Based on characteristic ions and partial characteristics of ice surface temperature, the potential groundwater discharge areas near the inlet of the Xinkai River, the central and southern region are determined. This study reveals the hydrochemical characteristics, vertical ice distribution, and provides a scientific foundation for water resource management in cold and arid regions.",,"This research was funded by Science and Technology Cooperation Project with Inner Mongolia (2021CG0037), Science and Technology Project of Hulunbuir City (HZ2020003), China Scholarship Council (NO:202008320223), National Training Program of Innovation for Undergraduates, China (202310304192H), National Training Program of Innovation for Undergraduates, China (202310304056Z), First Phase of the Project of Strengthening the Scientific and Technological Research Capacity of Hulun Lake Natrue Reserve (HSZCS-C-F-210094), and Ecological Security Investigation and Assessment Project of Hulun Lake (HSZCS-G-F-210059).",Environmental Science and Pollution Research,,,"Lakes; Environmental Monitoring; Ice; Remote Sensing Technology; Water Pollutants, Chemical; Groundwater; Water Quality; China",2024-01-11,2024,2024-01-11,2024-02,31,7,10689-10701,Closed,Article,"Xue, Mengyong; Wang, Wenlin; Gu, Xiaomin; Liu, Bo; Jiao, Yanwen; Zhang, Wanchen; Zhao, Chuang; Han, Yujie; Tong, Yi","Xue, Mengyong (School of Geographic Science, Nantong University, 226019, Nantong, China; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Wang, Wenlin (State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China; Ministry of Ecology and Environment of the People’s Republic of China, Nanjing Institute of Environmental Sciences, 210042, Nanjing, China); Gu, Xiaomin (School of Geographic Science, Nantong University, 226019, Nantong, China; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Liu, Bo (School of Geographic Science, Nantong University, 226019, Nantong, China; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Jiao, Yanwen (School of Geographic Science, Nantong University, 226019, Nantong, China; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Zhang, Wanchen (School of Geographic Science, Nantong University, 226019, Nantong, China; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Zhao, Chuang (School of Geographic Science, Nantong University, 226019, Nantong, China; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Han, Yujie (School of Geographic Science, Nantong University, 226019, Nantong, China; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Tong, Yi (State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China; Ministry of Ecology and Environment of the People’s Republic of China, Nanjing Institute of Environmental Sciences, 210042, Nanjing, China)","Gu, Xiaomin (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China)","Xue, Mengyong (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Wang, Wenlin (State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China; Nanjing Institute of Environmental Sciences); Gu, Xiaomin (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Liu, Bo (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Jiao, Yanwen (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Zhang, Wanchen (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Zhao, Chuang (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Han, Yujie (Nantong University; State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China); Tong, Yi (State of Environmental Protection Scientific Observation and Research Station for Ecological Environment of Hulun Lake Wetland, 021008, Hulunbuir, China; Nanjing Institute of Environmental Sciences)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1167842845,37 Earth Sciences; 3701 Atmospheric Sciences; 3705 Geology; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,
4130,pub.1120409080,10.3390/ijerph16162949,31426348,PMC6719991,A Coupled Modeling Approach for Water Management in a River–Reservoir System,"A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a river-reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%-10%, NH3-N had reduced by 5%-17%, and TP (Total Phosphorus) had reduced by 6%-21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a river-reservoir system.",We thank Wang Shih-Chi from the US EPA for his assistance with English writing and anonymous reviewers for constructive feedback and comments that helped to improve this paper.,"This research was supported by the National Natural Science Foundation of China (Grant No. 41471154), Natural Science Foundation of Fujian Province of China (No. 2019J01039) and Digital Fujian Project (Official Letter 2013, No. 84 from Fujian DICB Network High-tech Department).",International Journal of Environmental Research and Public Health,,,"Ammonia; China; Environmental Monitoring; Hydrodynamics; Models, Theoretical; Phosphorus; Rivers; Water Movements; Water Pollutants, Chemical; Water Quality; Water Supply",2019-08-01,2019,2019-08-16,2019-08-01,16,16,2949,All OA; Gold,Article,"Zhang, Zhenyu; Huang, Jinliang; Zhou, Min; Huang, Yaling; Lu, Yimin","Zhang, Zhenyu (Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China); Huang, Jinliang (Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China); Zhou, Min (Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China); Huang, Yaling (Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China); Lu, Yimin (Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350108, China)","Huang, Jinliang (Xiamen University)","Zhang, Zhenyu (Xiamen University); Huang, Jinliang (Xiamen University); Zhou, Min (Xiamen University); Huang, Yaling (Xiamen University); Lu, Yimin (Fuzhou University)",13,8,0.6,2.16,https://www.mdpi.com/1660-4601/16/16/2949/pdf?version=1565946273,https://app.dimensions.ai/details/publication/pub.1120409080,"30 Agricultural, Veterinary and Food Sciences; 41 Environmental Sciences; 4104 Environmental Management",6 Clean Water and Sanitation
4130,pub.1101618708,10.1016/j.scitotenv.2018.03.052,29728007,,"Combined impacts of future land-use and climate stressors on water resources and quality in groundwater and surface waterbodies of the upper Thames river basin, UK","It is widely acknowledged that waterbodies are becoming increasingly affected by a wide range of drivers of change arising from human activity. To illustrate how this can be quantified a linked modelling approach was applied in the Thames river basin in southern UK. Changes to river flows, water temperature, river and reservoir quality were predicted under three contrasting future ""storylines""; one an extension of present day rates of economic development, the others representing more extreme and less sustainable visions. Modelling revealed that lower baseflow conditions will arise under all storylines. For the less extreme storyline river water quality is likely to deteriorate but reservoir quality will improve slightly. The two more extreme futures could not be supported by current management strategies to meet water demand. To satisfy these scenarios, transfer of river water from outside the Thames river basin would be necessary. Consequently, some improvement over present day water quality in the river may be seen, and for most indicators conditions would be better than in the less extreme storyline. However, because phosphorus concentrations will rise, the invoked changes in water demand management would not be of a form suitable to prevent a marked deterioration in reservoir water quality.","Financial support came from an EU-FP7 project, MARS (Managing Aquatic ecosystems and water Resources under multiple Stress: grant agreement 603378). We also acknowledge support from NERC-CEH Science Areas: (i) Water Resources and (ii) Pollution and Environmental Risk. Models were tested against hydrological data from the NRFA and water quality data from the CEH Thames Initiative (Mike Bowes). Specification of the storylines for implementation in the Thames river basin was carried out in consultation with the Environment Agency via Sian Davies and Jo-Anne Pitt. Corinna Abesser, John Bloomfield and Majdi Mansour publish with the permission of the Executive Director of the British Geological Survey (NERC).",,The Science of The Total Environment,,,,2018-03-16,2018,2018-03-16,2018-08,631,,962-986,All OA; Hybrid,Article,"Hutchins, M.G.; Abesser, C.; Prudhomme, C.; Elliott, J.A.; Bloomfield, J.P.; Mansour, M.M.; Hitt, O.E.","Hutchins, M.G. (Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK); Abesser, C. (British Geological Survey, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK); Prudhomme, C. (British Geological Survey, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK; Department of Geography, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK; European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK); Elliott, J.A. (Centre for Ecology and Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK); Bloomfield, J.P. (British Geological Survey, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK); Mansour, M.M. (British Geological Survey, Nicker Hill, Keyworth, Nottingham NG12 5GG, UK); Hitt, O.E. (Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxfordshire OX10 8BB, UK)","Hutchins, M.G. (UK Centre for Ecology & Hydrology)","Hutchins, M.G. (UK Centre for Ecology & Hydrology); Abesser, C. (British Geological Survey); Prudhomme, C. (British Geological Survey; Loughborough University; European Centre for Medium-Range Weather Forecasts); Elliott, J.A. (Lancaster University); Bloomfield, J.P. (British Geological Survey); Mansour, M.M. (British Geological Survey); Hitt, O.E. (UK Centre for Ecology & Hydrology)",60,21,1.4,9.75,https://doi.org/10.1016/j.scitotenv.2018.03.052,https://app.dimensions.ai/details/publication/pub.1101618708,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4126,pub.1148995515,10.1016/j.scitotenv.2022.157018,35772539,,"Nitrogen loadings affect trophic structure in stream food webs on the Tibetan Plateau, China","Anthropogenic activities, such as agricultural and industrial development, have increased nutrient inputs into waterways, which affect trophic interactions and the flow of energy through food webs in the aquatic ecosystems. However, the responses of food web structure and function to specific anthropogenic stressors in the alpine stream systems remain unclear. Here, we studied the stream food webs in the Lhasa River on the Tibetan Plateau, China. We measured the isotopic ratios (δ13C and δ15N) of macroinvertebrate and fish functional feeding groups (FFGs) and their basal resources in the streams. Dietary contributions of basal resources to consumers and food web metrics including trophic length, diversity, and redundancy were used to quantify changes in stream food webs in response to anthropogenic disturbance. Dietary analysis showed that allochthonous resources contributed more than autochthonous resources to macroinvertebrate primary consumers regardless of the disturbance intensity in the adjacent land areas. Anthropogenic activities increased the δ15N values in epilithic algae and isotopic variation in basal resources and fish but reduced the trophic length and redundancy (i.e., fewer species or taxon at each trophic level) in food webs. Additionally, the total nitrogen concentration in waters was the most important environmental variable affecting trophic diversity and redundancy. Therefore, the reduction of nitrogen inputs into streams is critical for sustainable river management and biodiversity conservation in the streams on the Tibetan Plateau.","We thank Yongde Cui, Yintao Jia, Ren Zhu, Tingting Zhou, Yajing He and Tingfeng Xie from the Institute of Hydrobiology, Chinese Academy of Sciences for their help in collecting and identifying samples, Liqun Lin from Hubei University for her help with land use analysis, Dezhi Wang from Wuhan Botanical Garden, Chinese Academy of Sciences and Minghui Wu from China University of Geosciences (Wuhan) for their assistance with GIS plotting, and Russell Doughty for editing the manuscript. This research was funded by the National Natural Science Foundation of China (Nos. 31720103905, 32030069).",,The Science of The Total Environment,,,Animals; China; Ecosystem; Fishes; Food Chain; Nitrogen; Nitrogen Isotopes; Rivers; Tibet,2022-06-27,2022,2022-06-27,2022-10,844,,157018,Closed,Article,"Zhang, Jian; Xu, Jilei; Tan, Xiang; Zhang, Quanfa","Zhang, Jian (Research Center for Ecology and Environment of Qinghai-Tibetan Plateau, Tibet University, Lhasa 850000, Tibet, China; College of Science, Tibet University, Lhasa 850000, Tibet, China; Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan, Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China.); Xu, Jilei (Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan, Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China.); Tan, Xiang (Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan, Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China. Electronic address: xtan@wbgcas.cn.); Zhang, Quanfa (Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan, Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China.)","Tan, Xiang (Wuhan Botanical Garden)","Zhang, Jian (Tibet University; Wuhan Botanical Garden); Xu, Jilei (Wuhan Botanical Garden); Tan, Xiang (Wuhan Botanical Garden); Zhang, Quanfa (Wuhan Botanical Garden)",5,5,0.4,2.89,,https://app.dimensions.ai/details/publication/pub.1148995515,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4102 Ecological Applications,15 Life on Land
4124,pub.1049322111,10.1016/j.geomorph.2014.02.018,24932057,PMC4051240,Rangeland management and fluvial geomorphology in northern Tanzania,"Researchers have independently documented the effects of land use on rivers and threats to river management institutions, but the relationship between changes in institutional context and river condition is not well described. This study assesses the connections between resource management institutions, land use, and rivers by integrating social science, geospatial analysis, and geomorphology. In particular, we measured hydraulic geometry, sediment size distributions, and estimated sediment yield for four rivers in northern Tanzania and conducted semistructured interviews that assessed corresponding resource management institutions. Communities managed rivers through both customary (traditional, nonstate) and government institutions, but the differences in the resource management policies and practices of the study rivers themselves were fairly subtle. Clearer differences were found at broader scales; the four watersheds exhibited substantial differences in land cover change and sediment yield associated with the location of settlements, roadways, and cultivation. Unexpectedly, these recent land use changes did not initiate a geomorphic response in rivers. The long history of grazing by domestic and wild ungulates may have influenced water and sediment supplies such that river channel dimensions are more resistant to changes in land use than other systems or have already adjusted to predominant changes in boundary conditions. This would suggest that not all rivers will have the anticipated responses to contemporary land use changes because of antecedent land use patterns; over long time scales (centuries to millennia), the presence of grazers may actually increase the ability of rivers to withstand changes in land use. Our findings point to a need for further interdisciplinary study of dryland rivers and their shifts between system states, especially in areas with a long history of grazing, relatively recent changes in land use, and a dynamic social and institutional context.","AcknowledgementsWe would like to thank Gabriel Ole Saitoti, Isaya Rumas, and Molly Dougherty for their tireless assistance in collecting data, and Paul Leslie, Pamela Jagger, Colin West, Aaron Moody, Richard Marston, and an anonymous reviewer for their helpful comments on previous drafts of this manuscript. Data collection was supported by a National Science Foundation Doctoral Dissertation Research Improvement Grant (BCS-1030847) and funding from the University of North Carolina at Chapel Hill and the Center for Global Initiatives. B.W. Miller is also grateful to the Carolina Population Center for training support (T32 HD007168) and for general support (5 R24 HD050924) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development.",,Geomorphology,,,,2014-06,2014,,2014-06,214,,366-377,All OA; Green,Article,"Miller, Brian W.; Doyle, Martin W.","Miller, Brian W. (North Central Climate Science Center, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA); Doyle, Martin W. (Nicholas School of the Environment, Duke University, Durham, NC 27708, USA)","Miller, Brian W. (Colorado State University)","Miller, Brian W. (Colorado State University); Doyle, Martin W. (Duke University)",9,1,0.1,0.98,https://europepmc.org/articles/pmc4051240?pdf=render,https://app.dimensions.ai/details/publication/pub.1049322111,37 Earth Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience; 41 Environmental Sciences,15 Life on Land
4123,pub.1132655651,10.1007/s13280-020-01407-8,33191485,PMC7982359,Can we take the pulse of environmental governance the way we take the pulse of nature? Applying the Freshwater Health Index in Latin America,"Quantitative assessments have long been used to evaluate the condition of the natural environment, providing information for standard setting, adaptive management, and monitoring. Similar approaches have been developed to measure environmental governance, however, the end result (e.g., numeric indicators) belies the subjective and normative judgments that are involved in evaluating governance. We demonstrate a framework that makes this information transparent, through an application of the Freshwater Health Index in three different river basins in Latin America. Water Governance is measured on a 0–100 scale, using data derived from perception-based surveys administered to stakeholders. Results suggest that water governance is a primary area of concern in all three places, with low overall scores (Guandu-26, Alto Mayo-38, Bogotá-43). We conclude that this approach to measuring governance at the river basin scale provides valuable information to support monitoring and decision making, and we offer suggestions on how it can be improved.",Funding for this research was provided under Contract No. DJ-PI-JEG-DO-ITESM-MTY-2018/061 from Instituto Tecnológico de Monterrey.,,Ambio,,,Conservation of Natural Resources; Environmental Monitoring; Environmental Policy; Fresh Water; Latin America; Rivers,2020-11-15,2020,2020-11-15,2021-04,50,4,870-883,All OA; Hybrid,Article,"Vollmer, Derek; Bezerra, Maíra Ometto; Martínez, Natalia Acero; Ortiz, Octavio Rodríguez; Encomenderos, Ivo; Marques, Maria Clara; Serrano-Durán, Lina; Fauconnier, Isabelle; Wang, Raymond Yu","Vollmer, Derek (Moore Center for Science, Conservation International, 2011 Crystal Drive, Suite 600, 22202, Arlington, VA, USA); Bezerra, Maíra Ometto (Moore Center for Science, Conservation International, 2011 Crystal Drive, Suite 600, 22202, Arlington, VA, USA); Martínez, Natalia Acero (Conservation International Colombia, Carrera 13 # 71 – 41, Bogotá, Colombia); Ortiz, Octavio Rodríguez (Conservation International Colombia, Carrera 13 # 71 – 41, Bogotá, Colombia); Encomenderos, Ivo (Conservation International Peru, Av. Circunvalación N° 1217, 22160, Tarapoto, San Martín, Perú); Marques, Maria Clara (Conservation International Brazil, Av. Rio Branco, 131 - 8th floor - Centro, CEP: 20040-006, Rio de Janeiro, RJ, Brazil); Serrano-Durán, Lina (Centro del Agua para América Latina y Caribe, Instituto Tecnológico de Monterrey, Carrera 30 # 11-89, 660003, Pereira, Colombia); Fauconnier, Isabelle (Global Water Programme, International Union for the Conservation of Nature, Gland, Switzerland); Wang, Raymond Yu (Department of Public Administration, Sun-Yat Sen University, No. 1088 Xueyuan Avenue, Nanshan District, 518055, Shenzhen, P.R. China)","Vollmer, Derek (Conservation International)","Vollmer, Derek (Conservation International); Bezerra, Maíra Ometto (Conservation International); Martínez, Natalia Acero (Conservation International Colombia, Carrera 13 # 71 – 41, Bogotá, Colombia); Ortiz, Octavio Rodríguez (Conservation International Colombia, Carrera 13 # 71 – 41, Bogotá, Colombia); Encomenderos, Ivo (Conservation International Peru, Av. Circunvalación N° 1217, 22160, Tarapoto, San Martín, Perú); Marques, Maria Clara (Conservation International Brazil, Av. Rio Branco, 131 - 8th floor - Centro, CEP: 20040-006, Rio de Janeiro, RJ, Brazil); Serrano-Durán, Lina (Centro del Agua para América Latina y Caribe, Instituto Tecnológico de Monterrey, Carrera 30 # 11-89, 660003, Pereira, Colombia); Fauconnier, Isabelle (International Union for Conservation of Nature); Wang, Raymond Yu (Sun Yat-sen University)",10,8,1.02,1.88,https://link.springer.com/content/pdf/10.1007/s13280-020-01407-8.pdf,https://app.dimensions.ai/details/publication/pub.1132655651,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4123,pub.1165362872,10.3390/ani13213369,37958123,PMC10648522,"Nesting Habitat Suitability of the Kentish Plover in the Arid Lands of Xinjiang, China","Understanding the main ecological factors of the nesting habitat of shorebirds is of great significance in relation to their protection and habitat management. Habitat loss and change due to a lack of water threaten the biodiversity of shorebirds, with impacts likely to be most pronounced in arid lands. We collected the data of 144 nesting sites and 10 ecological factors during the breeding season from April to July each year in 2019 and 2020 in nine river districts in Xinjiang. The MaxEnt model was applied to assess the suitability of nesting habitats for Kentish plovers (Charadrius alexandrinus) in the study area to examine the main factors affecting their nesting habitat. The most suitable nesting habitats are mostly distributed in plain reservoirs in the middle part of the Northern Slope of the Tianshan Mountains, Ebinur Lake and its eastern position in the southwestern Junggar Basin, near Ulungur Lake of the Ulungur river area and the southern Irtysh river area. The distance from water, normalized difference vegetation index, mean temperature of the breeding season, slope, and land use were the main factors affecting the nesting habitat selection of Kentish plovers. It was found that the proportion of suitable nesting habitat protected for the Kentish plovers in the study area was low (851.66 km2), accounting for only 11.02% of the total suitable nesting habitat area. In view of the scarcity and importance of water bodies in arid lands and the lack of protection for Kentish plovers at present, it is suggested to strengthen the conservation and management of the regional shorebirds and their habitats by regulating and optimizing the allocation of water resources.",Special appreciation goes to Tong Zhang of the Central South Inventory and Planning Institute of National Forestry and Grassland Administration for his guidance regarding the statistical methods.,"This research was funded by the National Natural Science Foundation of China, grant number 31660613, Wildlife and Plant Background Survey of Urumqi City, grant number 2022–2024, and Wildlife Investigation of Bortala Mongol Autonomous Prefecture, grant number 2021–2023 from the Xinjiang Forestry and Grass Bureau.",Animals,,,,2023-10-30,2023,2023-10-30,,13,21,3369,All OA; Gold,Article,"Ding, Peng; Song, Zitan; Liu, Yang; Halimubieke, Naerhulan; Székely, Tamás; Shi, Lei","Ding, Peng (College of Animal Sciences, Xinjiang Agricultural University, Urumqi 830052, China;, dpengde@126.com; Xinjiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Biology, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China); Song, Zitan (State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen 518107, China;, 13624326602@163.com, (Z.S.);, liuy353@mail.sysu.edu.cn, (Y.L.); Comparative Socioecology Group, Max Planck Institute of Animal Behavior, 78467 Konstanz, Germany); Liu, Yang (State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen 518107, China;, 13624326602@163.com, (Z.S.);, liuy353@mail.sysu.edu.cn, (Y.L.)); Halimubieke, Naerhulan (Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA1 7AY, UK;, n.halimubieke@ucl.ac.uk, (N.H.);, bssts@bath.ac.uk, (T.S.)); Székely, Tamás (Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA1 7AY, UK;, n.halimubieke@ucl.ac.uk, (N.H.);, bssts@bath.ac.uk, (T.S.); Department of Evolutionary Zoology and Human Biology, University of Debrecen, H-4032 Debrecen, Hungary); Shi, Lei (College of Animal Sciences, Xinjiang Agricultural University, Urumqi 830052, China;, dpengde@126.com; Xinjiang Key Laboratory for Ecological Adaptation and Evolution of Extreme Environment Biology, College of Life Sciences, Xinjiang Agricultural University, Urumqi 830052, China)","Shi, Lei (Xinjiang Agricultural University; Xinjiang Agricultural University)","Ding, Peng (Xinjiang Agricultural University; Xinjiang Agricultural University); Song, Zitan (Sun Yat-sen University; State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen 518107, China;, 13624326602@163.com, (Z.S.);, liuy353@mail.sysu.edu.cn, (Y.L.); Max Planck Institute of Animal Behavior); Liu, Yang (Sun Yat-sen University; State Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen 518107, China;, 13624326602@163.com, (Z.S.);, liuy353@mail.sysu.edu.cn, (Y.L.)); Halimubieke, Naerhulan (University of Bath; Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA1 7AY, UK;, n.halimubieke@ucl.ac.uk, (N.H.);, bssts@bath.ac.uk, (T.S.)); Székely, Tamás (University of Bath; Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA1 7AY, UK;, n.halimubieke@ucl.ac.uk, (N.H.);, bssts@bath.ac.uk, (T.S.); University of Debrecen); Shi, Lei (Xinjiang Agricultural University; Xinjiang Agricultural University)",0,0,,,https://www.mdpi.com/2076-2615/13/21/3369/pdf?version=1698721146,https://app.dimensions.ai/details/publication/pub.1165362872,31 Biological Sciences; 3103 Ecology,15 Life on Land
4120,pub.1146727452,10.1007/s11356-022-19550-y,35353304,,"Spatial variations on the hydrochemistry, controls, and solute sources of surface water in the Weihe River Basin, China","The Weihe River Basin (WRB), the largest tributary of the Yellow River Basin (YRB), is located in the northwest of China. As the “mother river” of the Guanzhong Plain, it plays an important role in the development of Guanzhong City Group. Based on pH, electric conductivity (EC), total dissolved solids (TDS), and major ionic concentrations of 227 samples collected from the main stream (MS), northern tributaries (NT), and southern tributaries (ST) of the WRB, we explored spatial differential characteristics of hydrochemistry and their controlling factors, solute sources, and water quality of surface water. The results revealed mildly alkaline pH and much higher TDS values than the global average with mean values of 7.9 and 1037.7 mg L−1, respectively. Except NO3−, the concentrations of major ions in the MS and NT were higher than those of the ST, with similar spatial distribution patterns of Ca2+, Na+, Mg2+, SO42−, and Cl−. Na+ and SO42− were the most dominant cation and anion in the MS and NT controlled by both rock weathering and evaporation-crystallization processes. Ca2+ and HCO3− were the most dominant cation and anion in the ST mainly controlled by rock weathering process. Evaporite dissolution contributed the most to dissolved solutes in the MS and NT, while carbonate weathering dominated dissolved solutes in the ST. These findings were confirmed by the results of correlation matrix, principal component analysis (PCA), stoichiometric plots, and different water types identified as Na-SO4·Cl in the MS and NT, and Ca-HCO3 in the ST. Atmospheric and anthropogenic inputs had a minor effect on the surface water chemistry. However, human activities could not be ignored in the ST accounting for 10.9% of the total dissolved solutes, mainly because of the fertilizer application. And the surface water of the ST was more suitable for irrigation and drinking purposes than that of the MS and NT. Knowledge of our findings could contribute new insights to the solute geochemistry and sustainable management of water resources in the lithologically distinct segments of the WRB and other similar areas.","The authors are thankful to the Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), for providing us the determination of ionic concentrations.","This study was supported by the National Natural Science Foundation of China (Grant No. 41771028, 42130516 and 41730751), the National Natural Science Foundation of Shaanxi (2016JM4006), and the Opening Foundation of State Key Laboratory of Continental Dynamics, Northwest University (19LCD04).",Environmental Science and Pollution Research,,,"China; Environmental Monitoring; Groundwater; Humans; Rivers; Water Pollutants, Chemical; Water Quality",2022-03-30,2022,2022-03-30,2022-08,29,38,57790-57807,Closed,Article,"Dong, Xiying; Zhao, Liangju; Wang, Ninglian; Xie, Cong","Dong, Xiying (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, 710127, Xi’an, Shaanxi, China); Zhao, Liangju (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, 710127, Xi’an, Shaanxi, China; State Key Laboratory of Continental Dynamics, Northwest University, Xi’an 710069, China); Wang, Ninglian (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, 710127, Xi’an, Shaanxi, China); Xie, Cong (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, 710127, Xi’an, Shaanxi, China)","Zhao, Liangju (Northwest University; Northwest University)","Dong, Xiying (Northwest University); Zhao, Liangju (Northwest University; Northwest University); Wang, Ninglian (Northwest University); Xie, Cong (Northwest University)",5,5,0.98,2.67,,https://app.dimensions.ai/details/publication/pub.1146727452,37 Earth Sciences; 3707 Hydrology,
4120,pub.1164233359,10.3389/fpls.2023.1254395,37810375,PMC10552151,Spatial variations and mechanisms for the stability of water use efficiency in China,"A clearer understanding of the stability of water use efficiency (WUE) and its driving factors contributes to improving water use efficiency and strengthening water resource management. However, the stability of WUE is unclear. Based on the EEMD method, this study analyses the spatial variations and mechanisms for the stability of WUE in China, especially in the National Forest Protection Project (NFPP) areas. It is found that the stable WUE was dominated by non-significant trends and increasing trends in China, accounting for 33.59% and 34.19%, respectively. The non-significant trend of stable WUE was mainly located in the Three-North shelterbelt program area, and the increasing trend of stable WUE was in Huaihe and Taihu, Taihang Mountains, and Pearl River shelterbelt program areas. Precipitation and soil moisture promoted the stable WUE in these project areas. The unstable WUE was dominated by positive reversals or negative reversals of WUE trends. The positive reversals of unstable WUE were mainly located in the Yellow River shelterbelt program areas, which was promoted by temperature and radiation, while the negative reversals of unstable WUE were mainly distributed in the Yangtze River and Liaohe shelterbelt program areas, which were mainly induced by saturation water vapor pressure difference (VPD). Our results highlight that some ecological restoration programs need to be improved to cope with the negative climate impact on the stability of WUE.",,"This study was supported by the National Key R&D Program of China (2021YFB3901104). The Special Fund of the Jiangsu for Carbon Peak and Carbon Neutralization Science and Technology Innovation (BK20220021), and the Special Fund of the Chinese Central Government for Basic Scientific Research Operations in the commonweal Research Institute (GYZX210405).",Frontiers in Plant Science,,,,2023-09-21,2023,2023-09-21,,14,,1254395,All OA; Gold,Article,"Xu, Xiaojuan; Liu, Jing; Jiao, Fusheng; Zhang, Kun; Yang, Yue; Qiu, Jie; Zhu, Yingying; Lin, Naifeng; Zou, Changxin","Xu, Xiaojuan (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China); Liu, Jing (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China); Jiao, Fusheng (School of Geography, Nanjing Normal University, Nanjing, China); Zhang, Kun (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China); Yang, Yue (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China); Qiu, Jie (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China); Zhu, Yingying (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China); Lin, Naifeng (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China); Zou, Changxin (Nanjing Institute of Environmental Sciences, MEE, Nanjing, China)","Lin, Naifeng (Nanjing Institute of Environmental Sciences); Zou, Changxin (Nanjing Institute of Environmental Sciences)","Xu, Xiaojuan (Nanjing Institute of Environmental Sciences); Liu, Jing (Nanjing Institute of Environmental Sciences); Jiao, Fusheng (Nanjing Normal University); Zhang, Kun (Nanjing Institute of Environmental Sciences); Yang, Yue (Nanjing Institute of Environmental Sciences); Qiu, Jie (Nanjing Institute of Environmental Sciences); Zhu, Yingying (Nanjing Institute of Environmental Sciences); Lin, Naifeng (Nanjing Institute of Environmental Sciences); Zou, Changxin (Nanjing Institute of Environmental Sciences)",0,0,,,https://www.frontiersin.org/articles/10.3389/fpls.2023.1254395/pdf?isPublishedV2=False,https://app.dimensions.ai/details/publication/pub.1164233359,31 Biological Sciences; 3103 Ecology,
4117,pub.1163988409,10.13287/j.1001-9332.202307.013,37694456,,"Anomalous stable hydrogen-oxygen isotope characteristics and water vapor sources of autumn precipitation in the Weihe River basin, Northwest China.","The extreme changes in autumn rain have significant impacts on the ecological environment of Weihe River basin. Based on 117 autumn rain samples and corresponding meteorological data from 2015 to 2021 at Yangling located in the middle of Weihe River basin, we investigated the stable hydrogen and oxygen isotope composition and water vapor sources of precipitation. The results showed that, (1) extreme changes in autumn rainfall in the study area occurred frequently in recent years, which could be divided into extreme-high autumn precipitation year (HAP, 2021), general autumn precipitation year (GAP, 2015-2017, 2019-2020) and extreme-low autumn precipitation year (LAP, 2018) based on the autumn rain index (ARI); (2) the stable isotopes of different types of precipitation differed significantly, with a pattern of LAP>GAP>HAP for both δ2H and δ18O values. the variations of d-excess values and the slopes and intercepts of the meteoric water lines of autumn rain showed opposite trends. The main factor controlling autumn rain anomaly was not the local meteorological parameters, but the El Nino-Southern Oscillation and the Indian Ocean dipole events, which could explain 99% and 93% of the autumn rain isotopic variations, respectively. These coupling phenomena affected water vapor transport intensity of the marine air mass to the northwest inland, which determined autumn rainfall amount and the stable hydrogen-oxygen isotope composition. Our results would be helpful for improving the understanding of autumn rain anomalies in West China, and provide basic data and theoretical support for regional hydrological model building, would thereby better serve water resources management and disaster prevention and reduction.",,,Chinese journal of applied ecology,,,Oxygen Isotopes; Oxygen; Steam; Hydrogen; Rivers; China,2023-07,2023,,2023-07,34,7,1737-1744,Closed,Article,"Wei, Hao-Yan; Lu, Yan-Wei; Li, Min; Li, Pei-Yue; Cheng, Wen-Qing; Si, Bing-Cheng","Wei, Hao-Yan (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an 710054, China.; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Yangling 712100, Shaanxi, China.); Lu, Yan-Wei (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an 710054, China.); Li, Min (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Yangling 712100, Shaanxi, China.); Li, Pei-Yue (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an 710054, China.); Cheng, Wen-Qing (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of Ministry of Education, School of Water and Environment, Chang'an University, Xi'an 710054, China.); Si, Bing-Cheng (Department of Soil Science, University of Saskatoon, SK S7N5A8, Canada.)",,"Wei, Hao-Yan (Chang'an University; North West Agriculture and Forestry University); Lu, Yan-Wei (Chang'an University); Li, Min (North West Agriculture and Forestry University); Li, Pei-Yue (Chang'an University); Cheng, Wen-Qing (Chang'an University); Si, Bing-Cheng (Department of Soil Science, University of Saskatoon, SK S7N5A8, Canada.)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1163988409,37 Earth Sciences; 3701 Atmospheric Sciences; 3702 Climate Change Science,13 Climate Action
4116,pub.1166292634,10.1007/s11356-023-31073-8,37996586,,"Effects of reservoir system historical evolution on water system landscape patterns: the case of Changshou, China","Reservoirs are a crucial form of water ecological infrastructure that offers a wide range of ecosystem services. The impact of reservoir construction on land use and landscape patterns is a matter of considerable importance. However, the specific effects of local-scale reservoir development on water system landscape patterns have not been comprehensively investigated. The Changshou district of Chongqing, located in southwest China and having an artificial lake system primarily composed of reservoirs, is an excellent example of examining the effects of human activities on the landscape patterns of water systems. This research reconstructed the historical evolution of reservoirs and rivers in Changshou District by historical maps and remote sensing data over seven decades from 1950 to 2020. On this basis, the landscape pattern metrics and graph-theoretical metrics of water systems in four crucial years, 1950, 1960, 1990, and 2020, were analyzed. The results indicate that from 1950 to 2020, the reservoir area in Changshou District increased by 64.195 km2, while the river area decreased by 7.297 km2; the two periods with the highest reservoir construction intensity were the 1950s and the 1970s to 1980s, when the reservoir area increased by 58.456 km2 and 3.089 km2, respectively; the construction of reservoirs diminished the connectivity of water systems and increased their fragmentation, dispersion, and edge complexity, but had little effect on their concentration and shape complexity. The findings can be applied to the optimization of water system patterns at the local level, the management of reservoir groups, the decision-making of water ecological infrastructure, and ecological effect studies of artificial lakes.",,,Environmental Science and Pollution Research,,,China; Conservation of Natural Resources; Ecosystem; Lakes; Rivers; Water,2023-11-24,2023,2023-11-24,2023-12,30,59,124123-124138,Closed,Article,"He, Liang; Liu, Yu","He, Liang (China Architecture Design and Research Group, No.19 Che Gong Zhuang Street, Beijing, China); Liu, Yu (Department of Geosciences and Natural Resource Management, University of Copenhagen, 1958 Frederiksberg C, Copenhagen, Denmark)","He, Liang (China Architecture Design & Research Group (China))","He, Liang (China Architecture Design & Research Group (China)); Liu, Yu (University of Copenhagen)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1166292634,37 Earth Sciences; 3704 Geoinformatics; 41 Environmental Sciences; 4102 Ecological Applications,15 Life on Land
4114,pub.1138770874,10.1126/science.abf3668,34112726,,Glaciohydrology of the Himalaya-Karakoram,"Understanding the response of Himalayan-Karakoram (HK) rivers to climate change is crucial for ~1 billion people who partly depend on these water resources. Policy-makers tasked with sustainable water resources management require an assessment of the rivers' current status and potential future changes. We show that glacier and snow melt are important components of HK rivers, with greater hydrological importance for the Indus basin than for the Ganges and Brahmaputra basins. Total river runoff, glacier melt, and seasonality of flow are projected to increase until the 2050s, with some exceptions and large uncertainties. Critical knowledge gaps severely affect modeled contributions of different runoff components, future runoff volumes, and seasonality. Therefore, comprehensive field observation-based and remote sensing-based methods and models are needed.","We thank two anonymous reviewers for their constructive feedback. Funding: Supported by INSPIRE Faculty award IFA-14-EAS-22 and Core Research Grant CRG-2020-004877 from the Department of Science and Technology, India, and a research grant from Space Application Centre (ISRO) (M.F.A.); NASA’s HiMAT, Cryosphere, and IDS programs (grants 80NSSC19K0653, 80NSSC20K1442, and 80NSSC18K0432, respectively) (J.S.K. and U.K.H.); the NSERC Discovery Grant program (J.M.S.); ICIMOD’s water and air theme (S.N.); French National Research Agency projects ANR-09-CEP-005-05/PAPRIKA and ANR-13-SENV-0005-03/PRESHINE (P.C.); and Space Application Centre (ISRO) (S.S.). Author contributions: M.F.A. wrote the initial draft of the paper; J.S.K., J.M.S., and S.N. edited the initial version and contributed to the ideas; M.F.A. developed Figs. 1, 3, and 4; F.M. and M.F.A. assembled Fig. 2; all authors contributed to the ideas represented in the review and contributed edits to subsequent revisions. Competing interests: The authors declare no competing interests. Data availability: All data presented here are based on previously published studies that are cited in the review.",,Science,,,,2021-06-10,2021,2021-06-10,2021-08-20,373,6557,,Closed,Article,"Azam, Mohd Farooq; Kargel, Jeffrey S; Shea, Joseph M; Nepal, Santosh; Haritashya, Umesh K; Srivastava, Smriti; Maussion, Fabien; Qazi, Nuzhat; Chevallier, Pierre; Dimri, A P; Kulkarni, Anil V; Cogley, J Graham; Bahuguna, Isamohan","Azam, Mohd Farooq (Discipline of Civil Engineering, Indian Institute of Technology Indore, Simrol 453552, India. farooqaman@yahoo.co.in.); Kargel, Jeffrey S (Planetary Science Institute, Tucson, AZ, USA.); Shea, Joseph M (Geography Program, University of Northern British Columbia, Prince George, BC V2N 4Z9, Canada.); Nepal, Santosh (International Centre for Integrated Mountain Development, Kathmandu, Nepal.); Haritashya, Umesh K (Department of Geology and Environmental Geosciences, University of Dayton, Dayton, OH 45469, USA.); Srivastava, Smriti (Discipline of Civil Engineering, Indian Institute of Technology Indore, Simrol 453552, India.); Maussion, Fabien (Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria.); Qazi, Nuzhat (National Institute of Hydrology, Roorkee, India.); Chevallier, Pierre (Hydrosciences Laboratory (CNRS, IRD, University of Montpellier), CC 57, 34090 Montpellier, France.); Dimri, A P (School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India.); Kulkarni, Anil V (Indian Institute of Science, Divecha Center for Climate Change, Bangalore, India.); Cogley, J Graham (); Bahuguna, Isamohan (Space Application Centre, Ahmadabad, India.)",,"Azam, Mohd Farooq (Indian Institute of Technology Indore); Kargel, Jeffrey S (Planetary Science Institute); Shea, Joseph M (University of Northern British Columbia); Nepal, Santosh (International Centre for Integrated Mountain Development); Haritashya, Umesh K (University of Dayton); Srivastava, Smriti (Indian Institute of Technology Indore); Maussion, Fabien (Universität Innsbruck); Qazi, Nuzhat (National Institute of Hydrology); Chevallier, Pierre (University of Montpellier); Dimri, A P (Jawaharlal Nehru University); Kulkarni, Anil V (Indian Institute of Science Bangalore); Cogley, J Graham (); Bahuguna, Isamohan (Indian Space Research Organisation)",108,97,1.53,31.99,,https://app.dimensions.ai/details/publication/pub.1138770874,37 Earth Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,13 Climate Action
4113,pub.1151961045,10.1364/oe.472765,36366633,,Optical classification of an urbanized estuary using hyperspectral remote sensing reflectance.,"Optical water classification based on remote sensing reflectance (Rrs(λ)) data can provide insight into water components driving optical variability and inform the development and application of bio-optical algorithms in complex aquatic systems. In this study, we use an in situ dataset consisting of hyperspectral Rrs(λ) and other biogeochemical and optical parameters collected over nearly five years across a heavily urbanized estuary, the Long Island Sound (LIS), east of New York City, USA, to optically classify LIS waters based on Rrs(λ) spectral shape. We investigate the similarities and differences of discrete groupings (k-means clustering) and continuous spectral indexing using the Apparent Visible Wavelength (AVW) in relation to system biogeochemistry and water properties. Our Rrs(λ) dataset in LIS was best described by three spectral clusters, the first two accounting for the majority (89%) of Rrs(λ) observations and primarily driven by phytoplankton dynamics, with the third confined to measurements in river and river plume waters. We found AVW effective at tracking subtle changes in Rrs(λ) spectral shape and fine-scale water quality features along river-to-ocean gradients. The recently developed Quality Water Index Polynomial (QWIP) was applied to evaluate three different atmospheric correction approaches for satellite-derived Rrs(λ) from the Sentinel-3 Ocean and Land Colour Instrument (OLCI) sensor in LIS, finding Polymer to be the preferred approach. Our results suggest that integrative, continuous indices such as AVW can be effective indicators to assess nearshore biogeochemical variability and evaluate the quality of both in situ and satellite bio-optical datasets, as needed for improved ecosystem and water resource management in LIS and similar regions.",,,Optics Express,,,Estuaries; Ecosystem; Environmental Monitoring; Hyperspectral Imaging; Rivers,2022-10-27,2022,2022-10-27,2022-11-07,30,23,41590-41612,All OA; Gold,Article,"Turner, Kyle J.; Tzortziou, Maria; Grunert, Brice K.; Goes, Joaquim; Sherman, Jonathan","Turner, Kyle J. (); Tzortziou, Maria (); Grunert, Brice K. (); Goes, Joaquim (); Sherman, Jonathan ()",,"Turner, Kyle J. (); Tzortziou, Maria (); Grunert, Brice K. (); Goes, Joaquim (); Sherman, Jonathan ()",7,7,0.51,4.95,https://doi.org/10.1364/oe.472765,https://app.dimensions.ai/details/publication/pub.1151961045,"40 Engineering; 4006 Communications Engineering; 4009 Electronics, Sensors and Digital Hardware; 51 Physical Sciences; 5102 Atomic, Molecular and Optical Physics",14 Life Below Water
4111,pub.1128656930,10.1016/j.scitotenv.2020.140395,32603946,,Future river basin health assessment through reliability-resilience-vulnerability: Thresholds of multiple dryness conditions,"Increasing dryness conditions under global warming are posing severe threats to water resources management in China. Projecting river basin responses to dryness conditions is beneficial to effectively managing water resources. However, existing studies have seldom considered the impact of multiple dryness conditions on future river basin health under global warming. Therefore, we combine the 3- and 12-month standard precipitation evapotranspiration index (SPEI) and reliability-resilience-vulnerability framework (RRV) to map future river basin health based on the responses of basins across China to different dryness conditions from 2021 to 2050. The calculation is based on downscaled outputs of 10 models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) for three future emission scenarios (i.e., RCP2.6, RCP4.5 and RCP8.5). The results show that water deficits are projected to occur in most areas of China and significantly increase in the basins located in the northern part of China in the next 30 years due to global warming effects. The conditions in parts of the basins located in the northern part of China (especially in the Northwest River basins and Yellow River basin) are projected to be unhealthy and deteriorate significantly in the future, while the basins located in the southern part of China are projected to be moderate. The health status is anticipated to be worse under the RCP8.5 scenario than the RCP2.6 and RCP4.5 scenarios. Integrated results from the three thresholds indicated that normal dryness is applicable to most areas of northeastern, northern and southern China, while abnormal dryness is applicable to the remaining areas. Our findings could help reduce the impact of future dryness conditions on water resources and provide insights into risk planning and management for river basins in China under global warming.",This study is supported by the China Postdoctoral Science Foundation (Grant No. 2019M661422). The authors would like to express their appreciation to Dr. Zeinab Hazbavi of the Tarbiat Modares University of Iran for providing beneficial information for threshold selection.,,The Science of The Total Environment,,,,2020-06-20,2020,2020-06-20,2020-11,741,,140395,Closed,Article,"Zeng, Peng; Sun, Fengyun; Liu, Yaoyi; Che, Yue","Zeng, Peng (School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China; Institute of Eco-Chongming (IEC), Shanghai 200062, China.); Sun, Fengyun (School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China; Institute of Eco-Chongming (IEC), Shanghai 200062, China. Electronic address: fysun@des.ecnu.edu.cn.); Liu, Yaoyi (School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China; Institute of Eco-Chongming (IEC), Shanghai 200062, China.); Che, Yue (School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China; Institute of Eco-Chongming (IEC), Shanghai 200062, China.)","Sun, Fengyun (East China Normal University)","Zeng, Peng (East China Normal University); Sun, Fengyun (East China Normal University); Liu, Yaoyi (East China Normal University); Che, Yue (East China Normal University)",26,17,0.25,4.9,,https://app.dimensions.ai/details/publication/pub.1128656930,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action
4107,pub.1017912378,10.1016/j.scitotenv.2016.07.022,27405519,,The Water Footprint as an indicator of environmental sustainability in water use at the river basin level,"One of the main challenges in water management is to determine how the current water use can condition its availability to future generations and hence its sustainability. This study proposes the use of the Water Footprint (WF) indicator to assess the environmental sustainability in water resources management at the river basin level. The current study presents the methodology developed and applies it to a case study. The WF is a relatively new indicator that measures the total volume of freshwater that is used as a production factor. Its application is ever growing in the evaluation of water use in production processes. The calculation of the WF involves water resources (blue), precipitation stored in the soil (green) and pollution (grey). It provides a comprehensive assessment of the environmental sustainability of water use in a river basin. The methodology is based upon the simulation of the anthropised water cycle, which is conducted by combining a hydrological model and a decision support system. The methodology allows the assessment of the environmental sustainability of water management at different levels, and/or ex-ante analysis of how the decisions made in water planning process affect sustainability. The sustainability study was carried out in the Segura River Basin (SRB) in South-eastern Spain. The SRB is among the most complex basins in Europe, given its special peculiarities: competition for the use, overexploitation of aquifers, pollution, alternative sources, among others. The results indicate that blue water use is not sustainable due to the generalised overexploitation of aquifers. They also reveal that surface water pollution, which is not sustainable, is mainly caused by phosphate concentrations. The assessment of future scenarios reveals that these problems will worsen if no additional measures are implemented, and therefore the water management in the SRB is environmentally unsustainable in both the short- and medium-term.",AcknowledgementsThis paper is a result of the grant number 19342/PI/14 funded by “Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia” in the framework of PCTIRM 2011–2014. We also thank the anonymous reviewers whose comments improved the manuscript.,,The Science of The Total Environment,,,,2016-07-09,2016,2016-07-09,2016-11,571,,561-574,Closed,Article,"Pellicer-Martínez, Francisco; Martínez-Paz, José Miguel","Pellicer-Martínez, Francisco (Water and Environment Institute, University of Murcia, Edificio D. Campus de Espinardo, 30100 Murcia, Spain); Martínez-Paz, José Miguel (Water and Environment Institute, University of Murcia, Edificio D. Campus de Espinardo, 30100 Murcia, Spain)","Pellicer-Martínez, Francisco (University of Murcia)","Pellicer-Martínez, Francisco (University of Murcia); Martínez-Paz, José Miguel (University of Murcia)",83,31,1.02,14.88,,https://app.dimensions.ai/details/publication/pub.1017912378,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4104,pub.1121834390,10.1016/j.mex.2019.10.010,32300540,PMC7153296,"Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model","Global alterations of the hydrologic cycle by humans have led to alarming rates of water shortages and irreversible ecosystem change. Our ability to manage water resources lies in accurately modeling water availability at scales meaningful to management. Although hydrologic models have been used to understand the implications of future climate and land cover change on regional water availability, many modeling approaches fail to integrate human infrastructures (HI) with bio-geophysical drivers to facilitate sustainable regional water resource management. This paper presents an integrated framework, inclusive of modeling and data needs, to quantify the effects of both bio-geophysical and HI influence on regional surface water hydrology. The framework enables the integration of high spatial and temporal anthropogenic alterations of water availability for identifying hot-spots and hot-moments of hydrological stresses within individual river-segments using a hydrologic simulation model, Soil and Water Analysis Tool (SWAT). •A high-resolution river network for the study region with a greater spatial granularity compared to contemporary SWAT applications attempted to account for HI.•The anthropogenic influence on water balance for each river segment was estimated using data on human infrastructures, such as water intakes, power production facilities, discharges, dams, and land transformation.","The Laboratory Directed Research and Development at Oak Ridge National Laboratory, the US Department of Energy Biological and Environmental Research Multisector Dynamics Program provided the funding for this research. This work was conducted by employees of UT Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. We sincerely thank April Morton for her assistance with modeling high-resolution energy and water demand estimates.",,MethodsX,,,,2019-10-16,2019,2019-10-16,2020,7,,100699,All OA; Gold,Article,"Nair, Sujithkumar Surendran; McManamay, Ryan A.; Derolph, Christopher R.; Allen-Dumas, Melissa","Nair, Sujithkumar Surendran (Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States; Urban Dynamics Institute Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States); McManamay, Ryan A. (Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States; Urban Dynamics Institute Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States; Department of Environmental Science, Baylor University, Waco, TX, United States); Derolph, Christopher R. (Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States; Urban Dynamics Institute Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States); Allen-Dumas, Melissa (Urban Dynamics Institute Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States; Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37922, United States)","Nair, Sujithkumar Surendran (Oak Ridge National Laboratory; Oak Ridge National Laboratory)","Nair, Sujithkumar Surendran (Oak Ridge National Laboratory; Oak Ridge National Laboratory); McManamay, Ryan A. (Oak Ridge National Laboratory; Oak Ridge National Laboratory; Baylor University); Derolph, Christopher R. (Oak Ridge National Laboratory; Oak Ridge National Laboratory); Allen-Dumas, Melissa (Oak Ridge National Laboratory; Oak Ridge National Laboratory)",5,3,0.11,0.86,https://doi.org/10.1016/j.mex.2019.10.010,https://app.dimensions.ai/details/publication/pub.1121834390,37 Earth Sciences; 3707 Hydrology,15 Life on Land
4102,pub.1090390365,10.2175/106143016x14733681695528,28661330,,"Spatial and Temporal Variations in Pollution Indicator Bacteria in the Lower Vaal River, South Africa","The aim of this study was to evaluate the spatial and temporal variation of microbiological parameters of the Lower Vaal River, with emphasis on the Staphylococci population. River water concentrations of Staphylococci, heterotrophic, total coliforms, fecal coliforms and Streptococci groups of sanitary indicator bacteria were monitored. Results indicated significant contamination from agricultural land use inputs and municipal waste applications. Significant temporal and spatial variation was observed in response to the varying river discharge. Higher microbial concentrations were detected during high river discharge whereas during low river discharge both low and high microbial concentrations were detected. The varying responses associated with river discharge helped to identify the importance of different sources of contamination in the catchment and the mechanisms transferring them. The overall impact of contamination on the water quality of the Vaal River could have potentially serious public health risks but also provide valuable data for integrated water resource management.",,,Water Environment Research,,,Environmental Monitoring; Rivers; South Africa; Time Factors; Water Microbiology; Water Pollution; Water Quality,2016-11,2016,2016-11,2016-11,88,11,2142-2149,Closed,Article,"Chidamba, Lizyben; Cilliers, Elrina; Bezuidenhout, Cornelius Carlos","Chidamba, Lizyben (Unit for Environmental Science and Management, North-West University: Potchefstroom Campus, Potchefstroom 2520, South Africa.); Cilliers, Elrina (); Bezuidenhout, Cornelius Carlos ()",,"Chidamba, Lizyben (North-West University); Cilliers, Elrina (); Bezuidenhout, Cornelius Carlos ()",8,4,0.23,,,https://app.dimensions.ai/details/publication/pub.1090390365,31 Biological Sciences; 34 Chemical Sciences; 40 Engineering,15 Life on Land
4099,pub.1084435684,10.3390/ijerph14030306,28295001,PMC5369142,Microbial Remobilisation on Riverbed Sediment Disturbance in Experimental Flumes and a Human-Impacted River: Implication for Water Resource Management and Public Health in Developing Sub-Saharan African Countries,"Resuspension of sediment-borne microorganisms (including pathogens) into the water column could increase the health risk for those using river water for different purposes. In the present work, we (1) investigated the effect of sediment disturbance on microbial resuspension from riverbed sediments in laboratory flow-chambers and in the Apies River, Gauteng, South Africa; and (2) estimated flow conditions for sediment-borne microorganism entrainment/resuspension in the river. For mechanical disturbance, the top 2 cm of the sediment in flow-chambers was manually stirred. Simulating sudden discharge into the river, water (3 L) was poured within 30 s into the chambers at a 45° angle to the chamber width. In the field, sediment was disturbed by raking the riverbed and by cows crossing in the river. Water samples before and after sediment disturbance were analysed for Escherichia coli. Sediment disturbance caused an increase in water E. coli counts by up to 7.9-35.8 times original values. Using Shields criterion, river-flow of 0.15-0.69 m³/s could cause bed particle entrainment; while ~1.57-7.23 m³/s would cause resuspension. Thus, sediment disturbance in the Apies River would resuspend E. coli (and pathogens), with possible negative health implications for communities using such water. Therefore, monitoring surface water bodies should include microbial sediment quality.","The authors would like to thank the Water Research Commission (WRC), South Africa (WRC Projects K5/2169 and K5/2147), the National Research Foundation (NRF) of South Africa and the Tshwane University of Technology (TUT) for funding. However, opinions expressed and conclusions arrived at are those of the authors and are not necessarily to be attributed to the NRF, the WRC or TUT. The funding supplied does not cover open access publication.",,International Journal of Environmental Research and Public Health,,Miklas Scholz,Africa South of the Sahara; Developing Countries; Environmental Monitoring; Escherichia coli; Geologic Sediments; Humans; Public Health; Rivers; South Africa; Water Resources,2017-03-01,2017,2017-03-15,2017-03-01,14,3,306,All OA; Gold,Article,"Abia, Akebe Luther King; James, Chris; Ubomba-Jaswa, Eunice; Momba, Maggy Ndombo Benteke","Abia, Akebe Luther King (Departments of Biotechnology, Vaal university of Technology, Private Bag X021, Andries Potgieter Blvd, Vanderbijlpark 1911, South Africa;, lutherkinga@yahoo.fr); James, Chris (School of Civil & Environmental Engineering, University of the Witwatersrand, Johannesburg 2050, South Africa;, Chris.James@wits.ac.za); Ubomba-Jaswa, Eunice (Natural Resources and the Environment, CSIR, P.O. Box 395, Pretoria 0001, South Africa;, eubombajaswa@csir.co.za); Momba, Maggy Ndombo Benteke (Department of Environmental, Water and Earth Science, Tshwane University of Technology, Arcadia Campus, 175 Nelson Mandela Drive, Pretoria 0001, South Africa)","Momba, Maggy Ndombo Benteke (Tshwane University of Technology)","Abia, Akebe Luther King (Vaal University of Technology); James, Chris (University of the Witwatersrand); Ubomba-Jaswa, Eunice (Council for Scientific and Industrial Research); Momba, Maggy Ndombo Benteke (Tshwane University of Technology)",24,8,1.25,3.28,https://www.mdpi.com/1660-4601/14/3/306/pdf?version=1489632151,https://app.dimensions.ai/details/publication/pub.1084435684,37 Earth Sciences; 3707 Hydrology,
4092,pub.1144900127,10.1016/j.jenvman.2022.114466,35078060,,Socio-psychological factors influencing intent to adopt conservation practices in the Minnesota River Basin,"In the upper Midwestern United States, one of the central goals of agri-environmental policy is to reduce environmental and water quality degradation resulting from agriculture without sacrificing production. The primary tool available to policymakers is offering farmers incentives to voluntarily adopt more conservation practices, often known as Best Management Practices (BMPs). Using the Theory of Planned Behavior (TPB) and Diffusion of Innovation (DoI) frameworks, we surveyed 2000 agricultural landowners in the Minnesota River Basin to explore the socio-psychological drivers of the adoption decisions for specific BMPs such as wetlands, cover crops, and nutrient management. We found that attitude (both favorable and unfavorable), awareness of environmental problems, and appreciation of ecosystem services significantly affected landowners' adoption intentions for the three BMPs. We applied landowner segmentation analysis and compared both the socio-psychological and socio-demographic features among different landowner segments (i.e. environmentally-conscious landowners, engaging-absentee landowners, and adoption-averse landowners). Our study can inform the development of targeted conservation policies for various landowner types to motivate BMPs adoption.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,This work was supported by the National Institute of Food and Agriculture under Grant 2012–67 003–19 861.,Journal of Environmental Management,,,Agriculture; Conservation of Natural Resources; Ecosystem; Intention; Minnesota; Rivers,2022-01-22,2022,2022-01-22,2022-04,307,,114466,All OA; Hybrid,Article,"Lang, Zhengxin; Rabotyagov, Sergey","Lang, Zhengxin (School of Environmental and Forest Sciences, University of Washington, Box 352 100, Seattle, WA, USA. Electronic address: langzx@uw.edu.); Rabotyagov, Sergey (School of Environmental and Forest Sciences, University of Washington, Box 352 100, Seattle, WA, USA. Electronic address: rabotyag@uw.edu.)","Lang, Zhengxin (University of Washington); Rabotyagov, Sergey (University of Washington)","Lang, Zhengxin (University of Washington); Rabotyagov, Sergey (University of Washington)",10,10,,4.71,http://manuscript.elsevier.com/S0301479722000391/pdf/S0301479722000391.pdf,https://app.dimensions.ai/details/publication/pub.1144900127,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,2 Zero Hunger
4090,pub.1128527638,10.1016/j.scitotenv.2020.140322,32806382,,Evaluation of sustainability of river Krishna under present and future climate scenarios,"The rise in greenhouse gases, carbon dioxide concentrations in the atmosphere, along with the warmer climate and Land Use/Land Cover (LULC) changes may have a significant impact on water resources of the local hydrological regime. Hence, it is essential to assess the river basin response to corresponding changes to providing a reliable, resilient, sustainable management system in future. So, the present study focuses on providing a robust framework to evaluate sustainability of river Krishna under future climate scenarios. A novel framework was developed with the help of Bayesian Networks (BNs) known as the River Sustainability Bayesian Network (RSBN) model. It contains twenty-one parameters, which covers socio-economic and environmental dimensions of sustainability. In these twenty-one parameters, ten parameters are root (independent) nodes, and the other eleven parameters were child nodes of these root nodes. The proposed RSBN model offers a unique combination of parameters, which includes various aspects of river basin such as water quality, quantity, climatic conditions, and LULC changes along with ecological management in the basin. The parameters used are flexible enough to modify based on user requirements. Under the Representative Concentration Pathway (RCP) 8.5 scenario, the model shows basin progress towards medium sustainability from mid-century onwards, whereas there is no significant change in river sustainability under the RCP 4.5 scenario. The sustainability of the basin is expected to be highly sensitive to extreme events followed by changes to water stress, environmental flow. The present model framework may help policymakers and water managers for sustainable planning and management of water resources of the basin.","The authors like to acknowledge the support from Frontier Areas of Science and Technology - Centre of Excellence (FAST-CoE) in Sustainable Development at I.I.T. Hyderabad, funded by the Ministry of Human Resource Development, India. Authors would like to thanks, Indian Meteorological Department (IMD) and Central Water Commission (CWC), Hyderabad and Central Pollution Control Board (CPCB) for their support in sharing the data and also thanks to Earth System Grid Federation (ESGF) for their (climate model) data support.",,The Science of The Total Environment,,,,2020-06-17,2020,2020-06-17,2020-10,738,,140322,Closed,Article,"Chanapathi, Tirupathi; Thatikonda, Shashidhar","Chanapathi, Tirupathi (Department of Civil Engineering, IIT- Hyderabad, Telangana 50285, India.); Thatikonda, Shashidhar (Department of Civil Engineering, IIT- Hyderabad, Telangana 50285, India. Electronic address: shashidhar@iith.ac.in.)","Thatikonda, Shashidhar (Indian Institute of Technology Hyderabad)","Chanapathi, Tirupathi (Indian Institute of Technology Hyderabad); Thatikonda, Shashidhar (Indian Institute of Technology Hyderabad)",9,8,0.41,1.96,,https://app.dimensions.ai/details/publication/pub.1128527638,37 Earth Sciences; 3707 Hydrology,13 Climate Action; 15 Life on Land
4088,pub.1147628109,10.1371/journal.pone.0267439,35511815,PMC9070880,Integrating ecosystem benefits for sustainable water allocation in hydroeconomic modeling,"The increasing concern about the degradation of water-dependent ecosystems calls for considering ecosystems benefits in water management decision-making. Sustainable water management requires adequate economic and biophysical information on water systems supporting both human activities and natural ecosystems. This information is essential for assessing the impact on social welfare of water allocation options. This paper evaluates various alternative water management policies by including the spatial and sectoral interrelationships between the economic and environmental uses of water. A hydroeconomic model is developed to analyze water management policies for adaptation to reduced water availability in the Ebro Basin of Spain. The originality in our contribution is the integration of environmental benefits across the basin, by using endemic biophysical information that relates stream flows and ecosystem status in the Ebro Basin. The results show the enhancement of social welfare that can be achieved by protecting environmental flows, and the tradeoffs between economic and environmental benefits under alternative adaptation strategies. The introduction of water markets is a policy that maximizes the private benefits of economic activities, but disregards environmental benefits. The results show that the current institutional policy where stakeholders cooperate inside the water authority, provides lower private benefits but higher environmental benefits compared to those obtained under water markets, especially under severe droughts. However, the water authority is not allocating enough environmental flows to optimize social welfare. This study informs strategies for protection of environmental flows in the Ebro Basin, which is a compelling decision under the imminent climate change impacts on water availability in coming decades.","Special assistance has been provided by María Ángeles Lorenzo and Daniel Isidoro (CITA-DGA), and by Rogelio Galván and Miguel Ángel García Vera (CHE-MITECO). Part of the work by Daniel Crespo was developed at the School of Public Policy at UC Riverside, where he received advice from Dr. Darrel Jenerette, Dr. Louis Santiago, Dr. Kurt E. Anderson and Dr. Sergio Rey. Daniel Crespo has conducted this study with the support of a PhD grant from the Spanish Ministry for Science and Innovation.","J.A received the funding from projects INIA RTA2014-00050-00-00 and INIA RTA2017-00082-00-00 of the Ministry for Science and Innovation, partly financed by European ERDF funds (https://www.ciencia.gob.es/site-web/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Zaher Mundher Yaseen,Climate Change; Conservation of Natural Resources; Ecosystem; Humans; Rivers; Water; Water Supply,2022-05-05,2022,2022-05-05,,17,5,e0267439,All OA; Gold,Article,"Crespo, Daniel; Albiac, Jose; Dinar, Ariel; Esteban, Encarna; Kahil, Taher","Crespo, Daniel (Agrifood Research and Technology Centre (CITA) and University of Zaragoza, Zaragoza, Spain; Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain); Albiac, Jose (Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain; Economics and Business School, University of Zaragoza, Zaragoza, Spain; Water Security Research Group, Biodiversity and Natural Resources Program, International Institute for Applied System Analysis (IIASA), Laxenburg, Austria); Dinar, Ariel (School of Public Policy, University of California, Riverside, California, United States of America); Esteban, Encarna (Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain; School of Humanities and Social Sciences, University of Zaragoza, Teruel, Spain); Kahil, Taher (Water Security Research Group, Biodiversity and Natural Resources Program, International Institute for Applied System Analysis (IIASA), Laxenburg, Austria)","Albiac, Jose (University of Zaragoza; University of Zaragoza; International Institute for Applied Systems Analysis)","Crespo, Daniel (University of Zaragoza; University of Zaragoza); Albiac, Jose (University of Zaragoza; University of Zaragoza; International Institute for Applied Systems Analysis); Dinar, Ariel (University of California, Riverside); Esteban, Encarna (University of Zaragoza; University of Zaragoza); Kahil, Taher (International Institute for Applied Systems Analysis)",8,8,,5.42,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267439&type=printable,https://app.dimensions.ai/details/publication/pub.1147628109,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,
4086,pub.1160032220,10.1016/j.heliyon.2023.e17616,37408881,PMC10318526,"Groundwater potential assessment in the Blue Nile River catchment, Ethiopia, using geospatial and multi-criteria decision-making techniques","Groundwater supplies have been exploited because of global water shortage. Therefore, effective management of water resources is crucial. Identifying potential groundwater regions in arid and mountainous terrains is challenging for many developing nations because of a lack of financial and human resources. An integrated strategy using remote sensing, geographic information systems, and multi-criteria decision analysis of the hierarchical analytical process was used to identify potential zones for groundwater in the Gulufa Watershed, Blue Nile River Basin, Ethiopia, which covers 1700 km2. Nine groundwater-influencing thematic layers were produced from conventional and satellite data, including lineament density, lithology, slope, geomorphology, soil, land use/land cover, drainage density, rainfall, and elevation. Satty scale values for the thematic layers and their classes were determined based on experts' opinions and literature. Thematic maps were integrated based on their weights and rates to produce a potential zone map using ArcGIS weighted overlay spatial function tool. According to the results, the prospect zone map consists of 383 km2 of very high, 865 km2 of high, 350 km2 of moderate, 58 km2 of low, and 0.3 km2 of poor zones. Validation of the potential zone map using existing boreholes yielded a close agreement, demonstrating the method's accuracy. According to the map removal sensitivity analysis results, the potential zone was more sensitive to lithology than other thematic layers. The map created in the research region can be an essential reference for identifying potential locations for additional groundwater resource exploration, planning, and management.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,Heliyon,,,,2023-06-24,2023,2023-06-24,2023-06,9,6,e17616,All OA; Gold,Article,"Tamesgen, Yohanis; Atlabachew, Abunu; Jothimani, Muralitharan","Tamesgen, Yohanis (Department of Geology, College of Natural and Computational Sciences, Arba Minch University, Arba Minch, Ethiopia); Atlabachew, Abunu (Faculty of Water Resources and Irrigation Engineering, Water Technology Institute, Arba Minch University, Arba Minch, Ethiopia); Jothimani, Muralitharan (Department of Geology, College of Natural and Computational Sciences, Arba Minch University, Arba Minch, Ethiopia)","Jothimani, Muralitharan (Arba Minch University)","Tamesgen, Yohanis (Arba Minch University); Atlabachew, Abunu (Arba Minch University); Jothimani, Muralitharan (Arba Minch University)",4,4,,,http://www.cell.com/article/S2405844023048247/pdf,https://app.dimensions.ai/details/publication/pub.1160032220,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology; 40 Engineering; 4013 Geomatic Engineering,15 Life on Land
4081,pub.1166534520,10.1002/ieam.4865,38037232,,"Assessing the pollution and ecotoxicological status of the Iguaçu River, southern Brazil: A review","The degradation of water resources available for human consumption is increasing with the continuous release of chemicals into aquatic environments and their inefficient removal in wastewater treatment. Several watersheds in Brazil, such as the Iguaçu River, are affected by multiple sources of pollution and lack information about their pollution status. The Iguaçu River basin (IRB) has great socioeconomic and environmental relevance to both the supply of water resources and its considerable hydroelectric potential, as well as for the high rate of endemism of its ichthyofauna. Also, the IRB is home to large conservation units, such as the Iguaçu National Park, recognized by UNESCO as a natural World Heritage Site. Thus, this article discusses the chemical pollution in the IRB approaching: (i) the main sources of pollution; (ii) the occurrence of inorganic and organic micropollutants; (iii) the available ecotoxicological data; and (iv) the socioeconomic impacts in three regions of the upper, middle, and lower IRB. Different studies have reported relevant levels of emerging contaminants, persistent organic pollutants, toxic metals, and polycyclic aromatic hydrocarbons detected in the water and sediment samples, especially in the upper IRB region, associated with domestic and industrial effluents. Additionally, significant concentrations of pesticides and toxic metals were also detected in the lower IRB, revealing that agricultural practices are also relevant sources of chemicals for this watershed. More recently, studies indicated an association between fish pathologies and the detection of micropollutants in the water and sediments in the IRB. The identification of the main sources of pollutants, associated with the distribution of hazardous chemicals in the IRB, and their potential effects on the biota, as described in this review, represent an important strategy to support water management by public authorities for reducing risks to the local endemic biodiversity and exposed human populations. Integr Environ Assess Manag 2024;00:1-26. © 2023 SETAC.","ACKNOWLEDGMENT The authors acknowledge the financial support provided by the Research and Technological Development Program of the Brazilian Electric sector regulated by the National Agency of Electricity—ANEEL (Finance Code R&amp;D PD‐06491‐0265/2012) with Generation and Transmission SA—Copel Get‐SOS/DNGT and the governmental institution CAPES. Flávia Yamamoto thanks FAPESP and CAPES for the Postdoctoral Research grant (Grant numbers 2016/15229‐1; 88887.761010/2022‐00). The study on which this article is based is part of a larger effort to assess the environmental impacts of the discharge of pesticides and other pollutants in the Segredo Reservoir in the Iguaçu River basin, Brazil. The opinions expressed in this article are those of the authors and do not necessarily reflect those of Copel, CAPES, or any other organization or individual.",,Integrated Environmental Assessment and Management,,,,2023-11-30,2023,2024-01-04,2023-11-30,,,,Closed,Article,"de Morais, Tobias Pereira; Barreto, Luiza Santos; de Souza, Tugstênio Lima; Pozzan, Roberta; Vargas, Dámaso Ángel Rubio; Yamamoto, Flávia Yoshie; Prodocimo, Maritana Mela; Neto, Francisco Filipak; Randi, Marco Antônio Ferreira; de Oliveira Ribeiro, Ciro Alberto","de Morais, Tobias Pereira (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); Barreto, Luiza Santos (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); de Souza, Tugstênio Lima (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); Pozzan, Roberta (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); Vargas, Dámaso Ángel Rubio (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); Yamamoto, Flávia Yoshie (Department of Biochemistry and Molecular Biology, Federal University of Paraná, Curitiba, Brazil; Institute of Biosciences, São Paulo State University (UNESP), São Vicente, São Paulo, Brazil); Prodocimo, Maritana Mela (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); Neto, Francisco Filipak (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); Randi, Marco Antônio Ferreira (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil); de Oliveira Ribeiro, Ciro Alberto (Cell Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil)","Yamamoto, Flávia Yoshie (Federal University of Paraná; São Paulo State University)","de Morais, Tobias Pereira (Federal University of Paraná); Barreto, Luiza Santos (Federal University of Paraná); de Souza, Tugstênio Lima (Federal University of Paraná); Pozzan, Roberta (Federal University of Paraná); Vargas, Dámaso Ángel Rubio (Federal University of Paraná); Yamamoto, Flávia Yoshie (Federal University of Paraná; São Paulo State University); Prodocimo, Maritana Mela (Federal University of Paraná); Neto, Francisco Filipak (Federal University of Paraná); Randi, Marco Antônio Ferreira (Federal University of Paraná); de Oliveira Ribeiro, Ciro Alberto (Federal University of Paraná)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1166534520,41 Environmental Sciences; 4102 Ecological Applications; 4105 Pollution and Contamination,7 Affordable and Clean Energy
4079,pub.1084981542,10.1007/s10661-017-5935-1,28429250,,"Exploring geospatial techniques for spatiotemporal change detection in land cover dynamics along Soan River, Pakistan","Classification of land cover dynamics via satellite imagery has played indispensible services in developing effective management strategies for evaluation and management of water resources. The present study employed geospatial techniques, i.e., integrated GIS and remote sensing for effectual land change study. Hybrid classification approach was applied using ERDAS Imagine 11 to detect changes in land cover dynamics using satellite imagery of Landsat 4, 5 TM, Landsat 7 ETM, and Landsat 8 OLI for the years of 1992, 2002, and 2015, respectively. The study area was classified into four categories, i.e., vegetation, water body, barren, and urban area. Resultant maps, overlay maps, and post classification comparison maps were produced using ArcGIS 10.2 indicated remarkable shrinkage of water body up to 58.81%, reduction in vegetation area 53.24%, and increase in urban and barren area to 49.04 and 137.32%, respectively. The significant changes in land cover dynamics of Soan River are posing threats to its survival. Therefore, proper management, policies, and development of land use inventory are needs of the hour for saving Soan River.",,,Environmental Monitoring and Assessment,,,Conservation of Natural Resources; Environmental Monitoring; Geographic Information Systems; Pakistan; Rivers; Satellite Imagery; Spatio-Temporal Analysis,2017-04-20,2017,2017-04-20,2017-05,189,5,222,Closed,Article,"Bashir, Hafsa; Ahmad, Sheikh Saeed","Bashir, Hafsa (Department of Environmental Sciences, Fatima Jinnah Women University, Mall Road, 46000, Rawalpindi, Pakistan); Ahmad, Sheikh Saeed (Department of Environmental Sciences, Fatima Jinnah Women University, Mall Road, 46000, Rawalpindi, Pakistan)","Ahmad, Sheikh Saeed (Fatima Jinnah Women University)","Bashir, Hafsa (Fatima Jinnah Women University); Ahmad, Sheikh Saeed (Fatima Jinnah Women University)",11,6,0.24,2.71,,https://app.dimensions.ai/details/publication/pub.1084981542,37 Earth Sciences; 3704 Geoinformatics; 40 Engineering; 4013 Geomatic Engineering,15 Life on Land
4074,pub.1163681707,10.1007/s10653-023-01734-1,37646919,,"Hydrogeochemical and isotopic evolution of groundwater in shallow and deep aquifers of the Kabul Plain, Afghanistan","Groundwater from shallow and deep aquifers are widely used for drinking, agricultural and industrial use in Kabul, the capital of Afghanistan. However, unplanned urbanization and rapid population growth has led to the installation of numerous unlicensed wells to meet the public demand. This has caused to extraction of huge amounts of groundwater from the subsurface and further deterioration of groundwater quality. Therefore, understanding the hydrogeochemical characteristics of groundwater in shallow aquifers and deep aquifers is imperative for sustainable management of the groundwater resource in Kabul Plain. Thus, in this study, we used a multi-parameter approach, involving hydrochemical and environmental isotopes to understand the geochemical evolution of entire groundwater system of the Kabul Plain including river and dam water. The results of this study show that shallow and deep aquifers are dominantly of Mg–(Ca)–HCO3 and Na–Cl water type, respectively. We observed that (1) water–rock interaction is the major contributing factor to the chemical compositions of groundwater in the Kabul Plain; (2) groundwater in deep aquifer is mainly influenced by silicate weathering, and dissolution of evaporitic and carbonate minerals and reverse cation exchange; (3) dissolution of carbonates and silicate weathering plays a pivotal role in the groundwater chemistry of shallow aquifer; (4) the stable isotopes of groundwater display that the shallow aquifer is principally recharged by river water and local precipitation; (5) the tritium analysis exhibited that groundwater of shallow aquifer was primarily recharged recently, whereas groundwater of deep aquifer is the mixture of pre 1953 with post 1953 groundwater. This study revealed that there are hydraulic interactions between the two aquifers and the deep aquifer is recharged through shallow aquifer. The findings of this study would be useful for Afghanistan’s water authorities to develop an effective strategy for sustainable water resources management in the Kabul Basin.",The authors would like to thank the Ministry of Energy and Water of Afghanistan for access to geochemical and isotopic data of the Kabul Plain. The authors are also grateful to three anonymous reviewers for their insightful comments and constructive suggestions.,The authors declare that no fund or grant from funding agencies during the preparation of the manuscript.,Environmental Geochemistry and Health,,,"Afghanistan; Water Pollutants, Chemical; Groundwater; Isotopes; Silicates; Water; Environmental Monitoring",2023-08-30,2023,2023-08-30,2023-11,45,11,8503-8522,Closed,Article,"Zaryab, Abdulhalim; Farahmand, Asadullah; Nassery, Hamid Reza; Alijani, Farshad; Ali, Shakir; Jamal, Mohammad Zia","Zaryab, Abdulhalim (Engineering Geology and Hydrogeology, Faculty of Geology and Mines, Kabul Polytechnic University, District 5, Kabul, Afghanistan; Highland Groundwater Research Group, Kabul, Afghanistan); Farahmand, Asadullah (Department of Hydrogeology, Ministry of Energy and Water, Kabul, Afghanistan); Nassery, Hamid Reza (Department of Minerals and Groundwater Resources, Faculty of Earth Sciences, Shahid Beheshti University, Evin Ave, Tehran, Iran); Alijani, Farshad (Department of Minerals and Groundwater Resources, Faculty of Earth Sciences, Shahid Beheshti University, Evin Ave, Tehran, Iran); Ali, Shakir (Department of Geology, University of Delhi, 110007, Delhi, India; Department of Earth Sciences, IIT Bombay, 400076, Mumbai, India); Jamal, Mohammad Zia (Engineering Geology and Hydrogeology, Faculty of Geology and Mines, Kabul Polytechnic University, District 5, Kabul, Afghanistan)","Zaryab, Abdulhalim (Engineering Geology and Hydrogeology, Faculty of Geology and Mines, Kabul Polytechnic University, District 5, Kabul, Afghanistan; Highland Groundwater Research Group, Kabul, Afghanistan); Ali, Shakir (University of Delhi; Indian Institute of Technology Bombay)","Zaryab, Abdulhalim (Engineering Geology and Hydrogeology, Faculty of Geology and Mines, Kabul Polytechnic University, District 5, Kabul, Afghanistan; Highland Groundwater Research Group, Kabul, Afghanistan); Farahmand, Asadullah (Department of Hydrogeology, Ministry of Energy and Water, Kabul, Afghanistan); Nassery, Hamid Reza (Shahid Beheshti University); Alijani, Farshad (Shahid Beheshti University); Ali, Shakir (University of Delhi; Indian Institute of Technology Bombay); Jamal, Mohammad Zia (Engineering Geology and Hydrogeology, Faculty of Geology and Mines, Kabul Polytechnic University, District 5, Kabul, Afghanistan)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1163681707,37 Earth Sciences; 3705 Geology; 3707 Hydrology,
4073,pub.1151300382,10.1016/j.envres.2022.114380,36162468,,"Spatiotemporal dynamics and anthropologically dominated drivers of chlorophyll-a, TN and TP concentrations in the Pearl River Estuary based on retrieval algorithm and random forest regression","Estimation of large-scale and high-precision water quality parameters is critical in explaining the spatiotemporal dynamics and the driving factors of water quality variability, especially in areas with environmental complexity (e.g., crisscrossing waterways, high flood risk in rainy season and seawater invasion). Thus, in this study, a retrieval algorithm was developed to predict chlorophyll-a (Chl-a), total nitrogen (TN) and total phosphorus (TP) concentrations in the Pearl River Estuary (PRE) based on a large amount of in situ measurements and Landsat 8 remote sensing images. Random Forest (RF) machine learning was conducted to identify the relationship between environmental indicators (pH, turbidity, conductivity, total dissolved solids and water temperature), Chl-a, TN and TP. The results showed that the NIR/R Binomial algorithm for Chl-a estimation presented appreciable reliability with R2 of 0.7429, root mean square error (RMSE) of 1.2089 and mean absolute percent error (MAPE) of 15.33%. The water quality variation in the PRE showed a characteristic of overall improvement and regional deterioration with average concentrations of 7.28 μg/L, 1.15 mg/L and 0.12 mg/L for Chl-a, TN, and TP respectively. Turbidity and pH were identified as the most important indicators to explain Chl-a (52.86%, 39.91%), TN (52.38%, 40.57%) and TP (55.23%, 40.03%) variation. Agricultural pollution was the main pollution source due to the intensive application of fertilizer and increased field size. Besides, land use patterns (e.g., increasing farmland but decreasing forest) greatly influenced water quality from 2010 to 2020. Moreover, light limitation caused by high turbidity reduced the algae productivity and further lowered the Chl-a concentration. The driving factors for regional water quality variations were anthropologically dominated and supplemented by climate change. This study improved the monitoring accuracy of regional water environment and provided quantitative early warning of water pollution events for environmental practitioners, so as to achieve long-term monitoring, precise pollution management and efficient water resources management.","The research was jointly supported by Guangdong-Hong Kong Joint Laboratory for Water Security (Grant No. 2020B1212030005), National Natural Science Foundation of China (No. 52100208), and Guangdong Basic and Applied Basic Research Fund (2020A1515110098 and 2021A1515110339).",,Environmental Research,,,Algorithms; China; Chlorophyll; Chlorophyll A; Environmental Monitoring; Estuaries; Eutrophication; Fertilizers; Lakes; Nitrogen; Phosphorus; Reproducibility of Results; Rivers,2022-09-24,2022,2022-09-24,2022-12,215,Pt 3,114380,Closed,Article,"Yuan, Xingyu; Wang, Shengrui; Fan, Fuqiang; Dong, Yue; Li, Yu; Lin, Wei; Zhou, Chunyang","Yuan, Xingyu (Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University at Zhuhai, Zhuhai, 519087, China.); Wang, Shengrui (Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University at Zhuhai, Zhuhai, 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai, 519087, China; College of Water Sciences, Beijing Normal University, Beijing, 100875, China.); Fan, Fuqiang (Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University at Zhuhai, Zhuhai, 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai, 519087, China. Electronic address: ffan02@bnu.edu.cn.); Dong, Yue (Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University at Zhuhai, Zhuhai, 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai, 519087, China.); Li, Yu (Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University at Zhuhai, Zhuhai, 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai, 519087, China.); Lin, Wei (Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University at Zhuhai, Zhuhai, 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai, 519087, China.); Zhou, Chunyang (Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University at Zhuhai, Zhuhai, 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai, 519087, China.)","Fan, Fuqiang (Beijing Normal University)","Yuan, Xingyu (Beijing Normal University); Wang, Shengrui (Beijing Normal University); Fan, Fuqiang (Beijing Normal University); Dong, Yue (Beijing Normal University); Li, Yu (Beijing Normal University); Lin, Wei (Beijing Normal University); Zhou, Chunyang (Beijing Normal University)",11,11,0.75,,,https://app.dimensions.ai/details/publication/pub.1151300382,31 Biological Sciences; 34 Chemical Sciences; 41 Environmental Sciences,15 Life on Land
4073,pub.1125616802,10.1016/j.scitotenv.2020.137922,32208269,,Importance of Ssurface water background values for objectively assessing water quality in a unique basin,"Ignoring differences in surface water background values of different basins is a prominent shortcoming in water resource assessment and management systems in China. This study described the impact of this shortcoming on the results of water quality assessments by analysing water quality and the intensity of anthropogenic activities in 10 water resource basins in China. In particular, the Songhuajiang River Basin had a relatively undegraded natural environment with minimal anthropogenic activity. However, water quality assessment results showed the lowest water quality, and this basin is the most seriously affected by background values. The Huma River source water reserve was selected to conduct research of background value identification, concentration characteristics, migration and transformation laws, and output mechanism characteristics to enable the acknowledgment of the severe background value problem. Most data collected in basins with minimal anthropogenic pollution failed to meet Chinese water quality standard requirements, and high background values mainly resulted from litter leachate and soil erosion by rainfall or snowmelt runoff. A revised water quality assessment method was proposed in view of the particularity and heterogeneity of background values in the Songhuajiang River Basin. This study therefore clarified the negative impact of background values on water quality assessments, so that these values can be properly considered in Chinese water quality assessment and management systems.","This study is supported by China Institute of Water Resources and Hydropower Research, grant ID: WE0145B052017.",,The Science of The Total Environment,,,,2020-03-13,2020,2020-03-13,2020-06,722,,137922,Closed,Article,"Duan, Maoqing; Du, Xia; Peng, Wenqi; Jiang, Cuiling; Zhang, Shijie; Ding, Yang; Yan, Luqing","Duan, Maoqing (Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.); Du, Xia (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. Electronic address: duxia@iwhr.com.); Peng, Wenqi (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. Electronic address: pengiwhr@126.com.); Jiang, Cuiling (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.); Zhang, Shijie (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. Electronic address: zsj@iwhr.com.); Ding, Yang (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Yan, Luqing (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.)","Peng, Wenqi (China Institute of Water Resources and Hydropower Research)","Duan, Maoqing (China Institute of Water Resources and Hydropower Research; Hohai University); Du, Xia (China Institute of Water Resources and Hydropower Research); Peng, Wenqi (China Institute of Water Resources and Hydropower Research); Jiang, Cuiling (Hohai University); Zhang, Shijie (China Institute of Water Resources and Hydropower Research); Ding, Yang (China Institute of Water Resources and Hydropower Research); Yan, Luqing (China Institute of Water Resources and Hydropower Research)",7,4,0.42,1.41,,https://app.dimensions.ai/details/publication/pub.1125616802,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,
4073,pub.1111407211,10.1007/s11356-019-04178-2,30644048,,Exploring the spatial heterogeneity of individual preferences for integrated river basin management: an example of Heihe river basin,"This study mainly focuses on welfare impacts from improving considerably degraded river stretches of Heihe river basin and to determine the impact of spatial heterogeneity on willingness-to-pay (WTP) for integrated river basin management (IRBM). The significant WTP values for ecological attributes improvement revealed that the respondents of Heihe river basin significantly support the integrated ecological restoration program. However, socioeconomic characteristics and residential location have a significant impact on WTP values for different ecological attributes. The results demonstrate that water quality is the most preferred variable among all the river attributes in the study area. For example, in Zhangye, Gaotai, Ejinaqi, Minle, and Sunan the respondents were willing to pay 90.6, 160.44, 377.15, 65.40, and 139.21 Yuan per year, respectively, for a one-grade improvement in current water quality. Our findings also show that all the major counties of the basin concern more about water quality representing the relative importance of river water and express the maximum WTP for its improvement, while all major counties also share a low WTP for improvements in conditions of the leisure and entertainment. The differences in socioeconomic characteristics and ecological status of the respondents partially explain the disparity in utility from IRBM. In conclusion, the results based on only specific sub-basin of river basin may over or underestimate the welfare estimate.",The authors extend their sincere thanks to the editorial team of this journal and the anonymous reviewers for their valuable comments and suggestions that have significantly improved the manuscript.,The survey was sponsored by the major project supported by the National Natural Social Science Foundation of China (No. 15ZDA052).,Environmental Science and Pollution Research,,,Conservation of Natural Resources; Ecology; Environmental Policy; Humans; Public Opinion; Rivers; Water Quality,2019-01-14,2019,2019-01-14,2019-03,26,7,6911-6921,Closed,Article,"Khan, Imran; Khan, Sufyan Ullah; Zhao, Minjuan; Khan, Arshad Ahmad","Khan, Imran (College of Economics and Management, Northwest A&F University, 3 Taicheng Road, 712100, Yangling, China); Khan, Sufyan Ullah (College of Economics and Management, Northwest A&F University, 3 Taicheng Road, 712100, Yangling, China); Zhao, Minjuan (College of Economics and Management, Northwest A&F University, 3 Taicheng Road, 712100, Yangling, China); Khan, Arshad Ahmad (College of Economics and Management, Northwest A&F University, 3 Taicheng Road, 712100, Yangling, China)","Khan, Imran (North West Agriculture and Forestry University); Zhao, Minjuan (North West Agriculture and Forestry University)","Khan, Imran (North West Agriculture and Forestry University); Khan, Sufyan Ullah (North West Agriculture and Forestry University); Zhao, Minjuan (North West Agriculture and Forestry University); Khan, Arshad Ahmad (North West Agriculture and Forestry University)",10,2,0.57,2.67,,https://app.dimensions.ai/details/publication/pub.1111407211,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,
4073,pub.1109895163,10.1007/s00267-018-1116-4,30430222,,Extended Water-Level Drawdowns in Dammed Rivers Enhance Fish Habitat: Environmental Pool Management in the Upper Mississippi River,"Environmental Pool Management (EPM) can improve ecosystem function in rivers by restoring aspects of the natural flow regime lost to dam construction. EPM recreates summer baseflow conditions and promotes the growth of terrestrial vegetation which is inundated in the fall, thereby improving habitat heterogeneity for many aquatic taxa. A three-year experiment was conducted wherein terrestrial floodplain areas were dewatered through EPM water-level reductions and the resulting terrestrial vegetation was (1) allowed to remain or (2) removed in paired plots in Mississippi River pool 25. Fish assemblage and abundance were quantified in paired plots after inundation. Abundances of many fish species were greater in vegetated plots, especially for species that utilize vegetation during portions of their life history. Fish assemblages varied more between plot types when the magnitude of EPM water-level drawdowns was greater, which produced greater vegetation growth. Young-of-year individuals, especially from small, early maturing species and/or species reliant on vegetation for refuge, feeding, or life history, utilized vegetated plots more than devegetated plots. Vegetation growth produced under EPM was heavily used by river fishes, including young-of-year individuals, which may ultimately positively influence recruitment. Increased habitat heterogeneity may mitigate some of the negative impacts of dam construction and water-level regulation on river fishes. Annual variability in vegetation responses that occurs under EPM enhances natural environmental variability which could ultimately contribute to increased fish diversity. Low-cost programs like EPM can be implemented as a part of adaptive management plans to help maintain biodiversity and ecosystem health in anthropogenically altered rivers.",,"This study was funded by the U.S. Army Corps of Engineers, St. Louis District (No grant number).",Environmental Management,,,Animals; Conservation of Natural Resources; Ecosystem; Fishes; Mississippi; Rivers; Water,2018-11-14,2018,2018-11-14,2019-01,63,1,124-135,Closed,Article,"Coulter, A. A.; Adams, S. R.; Flinn, M. B.; Whiles, M. R.; Burr, B. M.; Sheehan, R. J.; Garvey, J. E.","Coulter, A. A. (Center for Fisheries, Aquaculture, and Aquatic Sciences, Southern Illinois University, 1125 Lincoln Dr., 62901, Carbondale, IL, USA); Adams, S. R. (Department of Biology, University of Central Arkansas, 201 Donaghey Ave., 72035, Conway, AR, USA); Flinn, M. B. (Department of Biological Sciences, Murray State University, 2112 Biology Building, 42071, Murray, KY, USA); Whiles, M. R. (Department of Zoology and Center for Ecology, Southern Illinois University, 62901-6501, Carbondale, IL, USA); Burr, B. M. (Center for Fisheries, Aquaculture, and Aquatic Sciences, Southern Illinois University, 1125 Lincoln Dr., 62901, Carbondale, IL, USA); Sheehan, R. J. (Center for Fisheries, Aquaculture, and Aquatic Sciences, Southern Illinois University, 1125 Lincoln Dr., 62901, Carbondale, IL, USA); Garvey, J. E. (Center for Fisheries, Aquaculture, and Aquatic Sciences, Southern Illinois University, 1125 Lincoln Dr., 62901, Carbondale, IL, USA)","Coulter, A. A. (Southern Illinois University System)","Coulter, A. A. (Southern Illinois University System); Adams, S. R. (University of Central Arkansas); Flinn, M. B. (Murray State University); Whiles, M. R. (Southern Illinois University System); Burr, B. M. (Southern Illinois University System); Sheehan, R. J. (Southern Illinois University System); Garvey, J. E. (Southern Illinois University System)",4,1,0.24,0.65,,https://app.dimensions.ai/details/publication/pub.1109895163,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,
4071,pub.1132633105,10.1007/s10661-020-08724-1,33188607,,"Newly explored machine learning model for river flow time series forecasting at Mary River, Australia","Hourly river flow pattern monitoring and simulation is the indispensable precautionary task for river engineering sustainability, water resource management, flood risk mitigation, and impact reduction. Reliable river flow forecasting is highly emphasized to support major decision-makers. This research paper adopts a new implementation approach for the application of a river flow prediction model for hourly prediction of the flow of Mary River in Australia; a novel data-intelligent model called emotional neural network (ENN) was used for this purpose. A historical dataset measured over a 4-year period (2011–2014) at hourly timescale was used in building the ENN-based predictive model. The results of the ENN model were validated against the existing approaches such as the minimax probability machine regression (MPMR), relevance vector machine (RVM), and multivariate adaptive regression splines (MARS) models. The developed models are evaluated against each other for validation purposes. Various numerical and graphical performance evaluators are conducted to assess the predictability of the proposed ENN and the competitive benchmark models. The ENN model, used as an objective simulation tool, revealed an outstanding performance when applied for hourly river flow prediction in comparison with the other benchmark models. However, the order of the model, performance wise, is ENN > MARS > RVM > MPMR. In general, the present results of the proposed ENN model reveal a promising modeling strategy for the hourly simulation of river flow, and such a model can be explored further for its ability to contribute to the state-of-the-art of river engineering and water resources monitoring and future prediction at near real-time forecast horizons.",,,Environmental Monitoring and Assessment,,,"Australia; Environmental Monitoring; Forecasting; Machine Learning; Neural Networks, Computer; Rivers",2020-11-14,2020,2020-11-14,2020-12,192,12,761,Closed,Article,"Cui, Fang; Salih, Sinan Q.; Choubin, Bahram; Bhagat, Suraj Kumar; Samui, Pijush; Yaseen, Zaher Mundher","Cui, Fang (Key Lab of Disasters Monitoring and Mechanism Simulating of Shannxi Province, Baoji University of Art & Sciences, 721013, Baoji, Shannxi, People’s Republic of China; Geography and Environment Department, Baoji University of Art & Sciences, 721013, Baoji, Shannxi, People’s Republic of China); Salih, Sinan Q. (Institute of Research and Development, Duy Tan University, 550000, Da Nang, Vietnam; Computer Science Department, Dijlah University College, Baghdad, Iraq); Choubin, Bahram (Soil Conservation and Watershed Management Research Department, West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO, Urmia, Iran); Bhagat, Suraj Kumar (Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam); Samui, Pijush (Department of Civil Engineering, National Institute of Technology Patna, Patna, Bihar, India); Yaseen, Zaher Mundher (Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)","Yaseen, Zaher Mundher (Ton Duc Thang University)","Cui, Fang (Baoji University of Arts and Sciences; Baoji University of Arts and Sciences); Salih, Sinan Q. (Duy Tan University; Dijlah University College); Choubin, Bahram (Soil Conservation and Watershed Management Research); Bhagat, Suraj Kumar (Ton Duc Thang University); Samui, Pijush (National Institute of Technology Patna); Yaseen, Zaher Mundher (Ton Duc Thang University)",25,20,0.65,5.43,,https://app.dimensions.ai/details/publication/pub.1132633105,37 Earth Sciences; 3707 Hydrology,
4070,pub.1170193201,10.1007/s11356-024-33028-z,38538996,,Hydro-meteorological factors and inflowing nutrients drive water quality in an impounded lake of China’s South-to-North Water Diversion Project,"Freshwater lakes play a vital role in global hydrological and biogeochemical cycles, serving various functions and maintaining ecological balance. However, freshwater resources are more vulnerable to deterioration due to multiple stressors. Gaoyou Lake is one of the impounded lakes of the Eastern route of South-to-North Water Diversion Project in China, and as an important source of drinking water, the lake has been routinely monitored. Long-term monitoring of water quality in Gaoyou Lake showed that concentrations of nutrients and chlorophyll a as well as trophic state in the water column increased while water transparency decreased, indicating that the water quality has declined during the last 12 years. Specifically, there was a notable and statistically significant increase in chlorophyll a concentrations, averaging an annual rate of 9.9%. Despite a slight decline in trophic level index until 2014, subsequent years saw an upward trend, ranging from 50.7 to 56.4 and indicating a light eutrophic state. Spatially, the western area displayed higher nutrient and chlorophyll a concentrations. Changes in hydro-meteorological variables and nutrients from inflowing rivers were the main factors correlated with water quality in Gaoyou Lake. Thus, pollution source apportionment and management within Huaihe River basin should be considered to reduce the external loadings of nutrients in order to improve and sustain long-term water quality.",The authors thank Professor Richard K. Johnson for linguistic assistance.,"This study was financially supported by the Water Conservancy Science and Technology Program of Jiangsu Province (2022068, 2021037), the National Natural Science Foundation of China (32371638), the Key Laboratory of Lake and Watershed Science for Water Security (NKL2023-ZD02), and the Youth Innovation Promotion Association of Chinese Academy of Sciences (2020316).",Environmental Science and Pollution Research,,,,2024-03-27,2024,2024-03-27,2024-03-27,,,1-12,Closed,Article,"Zhang, You; Gao, Mingyuan; Liu, Rongkun; Cai, Ping; Gao, Junfeng; Li, Kuanyi; Cai, Yongjiu","Zhang, You (Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 210008, Nanjing, China; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden); Gao, Mingyuan (Jiangsu Province Hydrology and Water Resources Investigation Bureau, 210029, Nanjing, China); Liu, Rongkun (China Design Group Co., Ltd, 210014, Nanjing, China); Cai, Ping (Jiangdu Water Conservancy Project Management Office of Jiangsu Province, 225200, Yangzhou, China); Gao, Junfeng (Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 210008, Nanjing, China); Li, Kuanyi (Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 210008, Nanjing, China); Cai, Yongjiu (Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 210008, Nanjing, China; Poyang Lake Wetland Research Station, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 332899, Jiujiang, China)","Cai, Yongjiu (Nanjing Institute of Geography and Limnology; Nanjing Institute of Geography and Limnology)","Zhang, You (Nanjing Institute of Geography and Limnology; Swedish University of Agricultural Sciences); Gao, Mingyuan (Jiangsu Province Hydrology and Water Resources Investigation Bureau, 210029, Nanjing, China); Liu, Rongkun (China Design Group (China)); Cai, Ping (Jiangdu Water Conservancy Project Management Office of Jiangsu Province, 225200, Yangzhou, China); Gao, Junfeng (Nanjing Institute of Geography and Limnology); Li, Kuanyi (Nanjing Institute of Geography and Limnology); Cai, Yongjiu (Nanjing Institute of Geography and Limnology; Nanjing Institute of Geography and Limnology)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1170193201,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,6 Clean Water and Sanitation
4068,pub.1090293601,10.1007/s00267-017-0905-5,28664235,,Public–Private Partnerships Working Beyond Scale Challenges toward Water Quality Improvements from Private Lands,"In recognition that Iowa agriculture must maintain long-term production of food, fiber, clean water, healthy soil, and robust rural economies, Iowa recently devised a nutrient reduction strategy to set objectives for water quality improvements. To demonstrate how watershed programs and farmers can reduce nutrient and sediment pollution in Iowa waters, the Iowa Water Quality Initiative selected the Boone River Watershed Nutrient Management Initiative as one of eight demonstration projects. For over a decade, diverse public, private, and non-profit partner organizations have worked in the Boone River Watershed to engage farmers in water quality management efforts. To evaluate social dynamics in the Boone River Watershed and provide partners with actionable recommendations, we conducted and analyzed semi-structured interviews with 33 program leaders, farmers, and local agronomists. We triangulated primary interview data with formal analysis of Boone River Watershed documents such as grant applications, progress reports, and outreach materials. Our evaluation suggests that while multi-stakeholder collaboration has enabled partners to overcome many of the traditional barriers to watershed programming, scale mismatches caused by external socio-economic and ecological forces still present substantial obstacles to programmatic resilience. Public funding restrictions and timeframes, for example, often cause interruptions to adaptive management of water quality monitoring and farmer engagement. We present our findings within a resilience framework to demonstrate how multi-stakeholder collaboration can help sustain adaptive watershed programs to improve socio-ecological function in agricultural watersheds such as the Boone River Watershed.",,This study was funded by a grant from The McKnight Foundation to Iowa Soybean Association and Agriculture’s Clean Water Alliance. Iowa State University supplied in-kind support.,Environmental Management,,,Agriculture; Conservation of Natural Resources; Environmental Pollution; Iowa; Public-Private Sector Partnerships; Quality Improvement; Rivers; Soil; Water Quality,2017-06-29,2017,2017-06-29,2017-10,60,4,574-587,Closed,Article,"Enloe, Stephanie K.; Schulte, Lisa A.; Tyndall, John C.","Enloe, Stephanie K. (Iowa State University, 38 Science II, 50011, Ames, IA, USA); Schulte, Lisa A. (Iowa State University, 142 Science II, 50011, Ames, IA, USA); Tyndall, John C. (Iowa State University, 238 Science II, 50011, Ames, IA, USA)","Enloe, Stephanie K. (Iowa State University)","Enloe, Stephanie K. (Iowa State University); Schulte, Lisa A. (Iowa State University); Tyndall, John C. (Iowa State University)",14,7,0.08,1.87,,https://app.dimensions.ai/details/publication/pub.1090293601,41 Environmental Sciences; 4104 Environmental Management,
4067,pub.1020533822,10.1002/lno.10092,27656002,PMC5014288,Colored dissolved organic matter dynamics and anthropogenic influences in a major transboundary river and its coastal wetland,"Most transboundary rivers and their wetlands are subject to considerable anthropogenic pressures associated with multiple and often conflicting uses. In the Eastern Mediterranean such systems are also particularly vulnerable to climate change, posing additional challenges for integrated water resources management. Comprehensive measurements of the optical signature of colored dissolved organic matter (CDOM) were combined with measurements of river discharges and water physicochemical and biogeochemical properties, to assess carbon dynamics, water quality, and anthropogenic influences in a major transboundary system of the Eastern Mediterranean, the Evros (or, Марица or, Meriç) river and its Ramsar protected coastal wetland. Measurements were performed over three years, in seasons characterized by different hydrologic conditions and along transects extending more than 70 km from the freshwater end-member to two kilometers offshore in the Aegean Sea. Changes in precipitation, anthropogenic dissolved organic matter (DOM) inputs from the polluted Ergene tributary, and the irregular operation of a dam were key factors driving water quality, salinity regimes, and biogeochemical properties in the Evros delta and coastal waters. Marsh outwelling affected coastal carbon quality, but the influence of wetlands was often masked by anthropogenic DOM contributions. A distinctive five-peak CDOM fluorescence signature was characteristic of upstream anthropogenic inputs and clearly tracked the influence of freshwater discharges on water quality. Monitoring of this CDOM fluorescence footprint could have direct applications to programs focusing on water quality and environmental assessment in this and other transboundary rivers where management of water resources remains largely ineffective.","We thank E. Moussoulis and A. Konstantinopoulou for assistance in the field and laboratory. This work was supported by a European Union Marie Curie Excellence Grant (project PreWEC, Grant #: MEXT‐CT‐2006‐038331), a Marie Curie International Reintegration Grant (project EcoDOM, Grant #: FP7‐MC‐IRG‐208841), a National Science Foundation Grant from the Division of Environmental Biology (DEB) ‐ Ecosystem Science Cluster (Grant #: DEB‐0742185), and the George Barley Endowment. This is Southeast Environmental Research Center contribution 716.",,Limnology and Oceanography,,,,2015-04-20,2015,2015-04-20,2015-07,60,4,1222-1240,All OA; Hybrid,Article,"Tzortziou, Maria; Zeri, Christina; Dimitriou, Elias; Ding, Yan; Jaffé, Rudolf; Anagnostou, Emmanouil; Pitta, Elli; Mentzafou, Angeliki","Tzortziou, Maria (Department of Earth and Atmospheric Sciences The City College of New York City University of New York New York New York.); Zeri, Christina (Institute of Oceanography Hellenic Center for Marine Research Anavyssos Greece.); Dimitriou, Elias (Institute of Marine Biological Resources and Inland Waters Hellenic Center for Marine Research Anavyssos Greece.); Ding, Yan (Southeast Environmental Research Center and Department of Chemistry and Biochemistry Florida International University Miami Florida.); Jaffé, Rudolf (Southeast Environmental Research Center and Department of Chemistry and Biochemistry Florida International University Miami Florida.); Anagnostou, Emmanouil (Department of Civil and Environmental Engineering University of Connecticut Storrs Connecticut.); Pitta, Elli (Southeast Environmental Research Center and Department of Chemistry and Biochemistry Florida International University Miami Florida.); Mentzafou, Angeliki (Institute of Marine Biological Resources and Inland Waters Hellenic Center for Marine Research Anavyssos Greece.)","Tzortziou, Maria (City College of New York)","Tzortziou, Maria (City College of New York); Zeri, Christina (Institute of Oceanography Hellenic Center for Marine Research Anavyssos Greece.); Dimitriou, Elias (Institute of Marine Biological Resources and Inland Waters Hellenic Center for Marine Research Anavyssos Greece.); Ding, Yan (Florida International University); Jaffé, Rudolf (Florida International University); Anagnostou, Emmanouil (University of Connecticut); Pitta, Elli (Florida International University); Mentzafou, Angeliki (Institute of Marine Biological Resources and Inland Waters Hellenic Center for Marine Research Anavyssos Greece.)",42,10,0.81,4.07,https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/lno.10092,https://app.dimensions.ai/details/publication/pub.1020533822,37 Earth Sciences; 3701 Atmospheric Sciences; 41 Environmental Sciences,14 Life Below Water
4064,pub.1153011284,10.1007/s11356-022-24248-2,36418825,,"Geospatial modeling to assess the past and future land use-land cover changes in the Brahmaputra Valley, NE India, for sustainable land resource management","Abstract
Satellite remote sensing and geographic information system (GIS) have revolutionalized the mapping, quantifying, and assessing the land surface processes, particularly analyzing the past and future land use-land cover (LULC) change patterns. Worldwide river basins have observed enormous changes in the land system dynamics as a result of anthropogenic factors such as population, urbanization, development, and agriculture. As is the scenario of various other river basins, the Brahmaputra basin, which falls in China, Bhutan, India, and Bangladesh, is also witnessing the same environmental issues. The present study has been conducted on the Brahmaputra Valley in Assam, India (a sub-basin of the larger Brahmaputra basin) and assessed its LULC changes using a maximum likelihood classification algorithm. The study also simulated the changing LULC pattern for the years 2030, 2040, and 2050 using the GIS-based cellular automata Markov model (CA-Markov) to understand the implications of the ongoing trends in the LULC change for future land system dynamics. The current rate of change of the LULC in the region was assessed using the 48 years of earth observation satellite data from 1973 to 2021. It was observed that from 1973 to 2021, the area under vegetation cover and water body decreased by 19.48 and 47.13%, respectively. In contrast, cultivated land, barren land, and built-up area increased by 7.60, 20.28, and 384.99%, respectively. It was found that the area covered by vegetation and water body has largely been transitioned to cultivated land and built-up classes. The research predicted that, by the end of 2050, the area covered by vegetation, cultivated land, and water would remain at 39.75, 32.31, and 4.91%, respectively, while the area covered by built-up areas will increase by up to 18.09%. Using the kappa index (ki) as an accuracy indicator of the simulated future LULCs, the predicted LULC of 2021 was validated against the observed LULC of 2021, and the very high ki observed validated the generated simulation LULC products. The research concludes that significant LULC changes are taking place in the study area with a decrease in vegetation cover and water body and an increase of area under built-up. Such trends will continue in the future and shall have disastrous environmental consequences unless necessary land resource management strategies are not implemented. The main factors responsible for the changing dynamics of LULC in the study area are urbanization, population growth, climate change, river bank erosion and sedimentation, and intensive agriculture. This study is aimed at providing the policy and decision-makers of the region with the necessary what-if scenarios for better decision-making. It shall also be useful in other countries of the Brahmaputra basin for transboundary integrated river basin management of the whole region.","The first author is thankful to the University Grants Commission, Government of India, for providing the fellowship under the scheme of Dr. D.S. Kothari Post-Doctoral Fellowship (UGC-DSKPDF) (enrollment number: F.4-2/2006(BSR)/ES/20-21/0008). The corresponding author (G.M.) is thankful to the Department of Science and Technology, Government of India (DST-GoI), for providing the fellowship under the Scheme for Young Scientists and Technology (SYST-SEED) (grant no. SP/YO/2019/1362(G) and (C)).",,Environmental Science and Pollution Research,,,Environmental Monitoring; Geographic Information Systems; Remote Sensing Technology; Agriculture; India; Water; Conservation of Natural Resources,2022-11-23,2022,2022-11-23,2023-10,30,49,106997-107020,Closed,Article,"Debnath, Jatan; Sahariah, Dhrubajyoti; Lahon, Durlov; Nath, Nityaranjan; Chand, Kesar; Meraj, Gowhar; Farooq, Majid; Kumar, Pankaj; Kanga, Shruti; Singh, Suraj Kumar","Debnath, Jatan (Department of Geography, Gauhati University, Jalukbari, Assam, India); Sahariah, Dhrubajyoti (Department of Geography, Gauhati University, Jalukbari, Assam, India); Lahon, Durlov (Department of Geography, Gauhati University, Jalukbari, Assam, India); Nath, Nityaranjan (Department of Geography, Gauhati University, Jalukbari, Assam, India); Chand, Kesar (GB Pant National Institute of Himalayan Environment (NIHE), Himachal Regional Centre (Himachal Pradesh), Kullu, India); Meraj, Gowhar (Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir, India; Centre for Climate Change and Water Research (C3WR), Suresh Gyan Vihar University, 302017, Jaipur, India); Farooq, Majid (Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir, India; Centre for Climate Change and Water Research (C3WR), Suresh Gyan Vihar University, 302017, Jaipur, India); Kumar, Pankaj (Institute for Global Environmental Strategies, 240-0115, Hayama, Japan); Kanga, Shruti (Department of Geography, School of Environment and Earth Sciences, Central University of Punjab, 151401, Bathinda, Punjab, India); Singh, Suraj Kumar (Centre for Sustainable Development, Suresh Gyan Vihar University, 302017, Jaipur, India)","Meraj, Gowhar (Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir, India; Gyan Vihar University)","Debnath, Jatan (Gauhati University); Sahariah, Dhrubajyoti (Gauhati University); Lahon, Durlov (Gauhati University); Nath, Nityaranjan (Gauhati University); Chand, Kesar (GB Pant National Institute of Himalayan Environment (NIHE), Himachal Regional Centre (Himachal Pradesh), Kullu, India); Meraj, Gowhar (Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir, India; Gyan Vihar University); Farooq, Majid (Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir, India; Gyan Vihar University); Kumar, Pankaj (Institute for Global Environmental Strategies); Kanga, Shruti (Central University of Punjab); Singh, Suraj Kumar (Gyan Vihar University)",30,30,,19.58,,https://app.dimensions.ai/details/publication/pub.1153011284,37 Earth Sciences; 3704 Geoinformatics; 40 Engineering; 4013 Geomatic Engineering,15 Life on Land
4062,pub.1145289421,10.3389/fdata.2021.752406,35187478,PMC8856602,Runoff Forecasting Using Machine-Learning Methods: Case Study in the Middle Reaches of Xijiang River,"Runoff forecasting is useful for flood early warning and water resource management. In this study, backpropagation (BP) neural network, generalized regression neural network (GRNN), extreme learning machine (ELM), and wavelet neural network (WNN) models were employed, and a high-accuracy runoff forecasting model was developed at Wuzhou station in the middle reaches of Xijiang River. The GRNN model was selected as the optimal runoff forecasting model and was also used to predict the streamflow and water level by considering the flood propagation time. Results show that (1) the GRNN presents the best performance in the 7-day lead time of streamflow; (2) the WNN model shows the highest accuracy in the 7-day lead time of water level; (3) the GRNN model performs well in runoff forecasting by considering flood propagation time, increasing the Qualification Rate (QR) of mean streamflow and water level forecast to 98.36 and 82.74%, respectively, and illustrates scientifically of the peak underestimation in streamflow and water level. This research proposes a high-accuracy runoff forecasting model using machine learning, which would improve the early warning capabilities of floods and droughts, the results also lay an important foundation for the mid-long-term runoff forecasting.",,,Frontiers in Big Data,,,,2022-02-04,2022,2022-02-04,,4,,752406,All OA; Gold,Article,"Xiao, Lu; Zhong, Ming; Zha, Dawei","Xiao, Lu (Department of Land Resources and Environment, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China); Zhong, Ming (Department of Land Resources and Environment, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China); Zha, Dawei (Pearl River Water Resources Research Institute, Guangzhou, China)","Zhong, Ming (Sun Yat-sen University; Southern Marine Science and Engineering Guangdong Laboratory)","Xiao, Lu (Sun Yat-sen University); Zhong, Ming (Sun Yat-sen University; Southern Marine Science and Engineering Guangdong Laboratory); Zha, Dawei (Pearl River Water Resources Research Institute, Guangzhou, China)",9,9,,7.58,https://www.frontiersin.org/articles/10.3389/fdata.2021.752406/pdf,https://app.dimensions.ai/details/publication/pub.1145289421,46 Information and Computing Sciences; 4605 Data Management and Data Science; 4609 Information Systems,
4059,pub.1152758466,10.1016/j.scitotenv.2022.159979,36400294,,The intrinsic cybernetics of large complex systems and how droughts turn into floods,"The cyber-physical nature of engineering systems requires the smooth integration of decision making across soft and hard infrastructure. This need is common to any systems where decision making considers multiple complex systems such as the climate, the natural and built environment, and the dynamics of large organisations. As an example, in the Anthropocene, acute droughts and floods cannot only be imputed to more extreme variations of the climate patterns, but also to the alteration of the habitable environment and of the resources that support it, hence to their governance and management. In this discussion paper we present arguments about the extent to which the natural environment is modified to support urbanisation. We expose the cyber-physical nature of large infrastructure systems taking as an example the events of the 2011 Brisbane flood and the operations of the damming system of the river Brisbane. Using literature resources and data, we show how flood defence devices had to provide for a population of almost 2 million people, while being engineered when the population was less than one million, with increase in water withdrawal mainly due to residential utilities. We show how the cyber-physical aspects of the problem materialised in moth-long delays in the governance and management structure and made the flood event transcend the boundary of a purely climatic or engineering incident. Looking beyond the Brisbane example, our conclusions point at overcoming the discontinuity between operation, management and political layers when operating on cyber-physical systems such as freshwater networks.",G. Punzo was partially funded by the EPSRC Engineering Complexity Resilience Network Plus [EP/N010019/1] in the early stages of the work. Funding were received in support of this work by the Royal Academy of Engineering and by the LLoyds Register Foundation within the EngineeringX programme. The authors would like to acknowledge the Bureau of Meteorology for providing water usage data.,,The Science of The Total Environment,,,Floods; Droughts; Rivers; Fresh Water,2022-11-15,2022,2022-11-15,2023-02,859,Pt 2,159979,Closed,Article,"Punzo, Giuliano; Arbabi, Hadi","Punzo, Giuliano (Department of Automatic Control and Systems Engineering, The University of Sheffield, United Kingdom of Great Britain and Northern Ireland. Electronic address: g.punzo@sheffield.ac.uk.); Arbabi, Hadi (Department of Civil and Structural Engineering, The University of Sheffield, United Kingdom of Great Britain and Northern Ireland. Electronic address: h.arbabi@sheffield.ac.uk.)","Punzo, Giuliano (University of Sheffield; Department of Automatic Control and Systems Engineering, The University of Sheffield, United Kingdom of Great Britain and Northern Ireland. Electronic address: g.punzo@sheffield.ac.uk.)","Punzo, Giuliano (University of Sheffield; Department of Automatic Control and Systems Engineering, The University of Sheffield, United Kingdom of Great Britain and Northern Ireland. Electronic address: g.punzo@sheffield.ac.uk.); Arbabi, Hadi (University of Sheffield; Department of Civil and Structural Engineering, The University of Sheffield, United Kingdom of Great Britain and Northern Ireland. Electronic address: h.arbabi@sheffield.ac.uk.)",1,1,,0.48,,https://app.dimensions.ai/details/publication/pub.1152758466,37 Earth Sciences; 3709 Physical Geography and Environmental Geoscience,13 Climate Action
4058,pub.1112024617,10.1016/j.envpol.2019.02.011,30784832,,Spatial and temporal risk quotient based river assessment for water resources management,"Malaysia depends heavily on rivers as a source for water supply, irrigation, and sustaining the livelihood of local communities. The evolution of land use in urban areas due to rapid development and the continuous problem of illegal discharge have had a serious adverse impact on the health of the country's waterways. Klang River requires extensive rehabilitation and remediation before its water could be utilised for a variety of purposes. A reliable and rigorous remediation work plan is needed to identify the sources and locations of streams that are constantly polluted. This study attempts to investigate the feasibility of utilising a temporal and spatial risk quotient (RQ) based analysis to make an accurate assessment of the current condition of the tributaries in the Klang River catchment area. The study relies on existing data sets on Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solids (TSS), and Ammonia (NH3) to evaluate the water quality at thirty strategic locations. Analysis of ammonia pollution is not only based on the limit established for river health but was expanded to include the feasibility of using the water for water intake, recreational activities, and sustaining fish population. The temporal health of Klang River was evaluated using the Risk Matrix Approach (RMA) based on the frequency of RQ > 1 and associated colour-coded hazard impacts. By using the developed RMA, the hazard level for each parameter at each location was assessed and individually mapped using Geographic Information System (GIS). The developed risk hazard mapping has high potential as one of the essential tools in making decisions for a cost-effective river restoration and rehabilitation.","The first author gratefully acknowledges the financial assistance provided by Universiti Kebangsaan Malaysia through Modal Insan MI-2018-011 and the last author wishes to thank the Ministry of Higher Education for the Fundamental Research Grant Scheme, FRGS/1/2017/TK01/UKM/03/1. The authors express gratitude to Lembaga Urus Air Selangor for granting the permission to use the data.",,Environmental Pollution,,,"Animals; Biological Oxygen Demand Analysis; Conservation of Water Resources; Environmental Monitoring; Fishes; Malaysia; Risk Assessment; Rivers; Spatial Analysis; Water Pollutants, Chemical; Water Quality; Water Resources",2019-02-08,2019,2019-02-08,2019-05,248,,133-144,Closed,Article,"Wan Mohtar, Wan Hanna Melini; Abdul Maulud, Khairul Nizam; Muhammad, Nur Shazwani; Sharil, Suraya; Yaseen, Zaher Mundher","Wan Mohtar, Wan Hanna Melini (Sustainable and Smart Township Research Center, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia. Electronic address: hanna@ukm.edu.my.); Abdul Maulud, Khairul Nizam (Sustainable and Smart Township Research Center, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia. Electronic address: knam@ukm.edu.my.); Muhammad, Nur Shazwani (Sustainable and Smart Township Research Center, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia. Electronic address: shazwani.muhammad@ukm.edu.my.); Sharil, Suraya (Sustainable and Smart Township Research Center, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia. Electronic address: sharil_suraya@ukm.edu.my.); Yaseen, Zaher Mundher (Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. Electronic address: yaseen@tdtu.edu.vn.)","Wan Mohtar, Wan Hanna Melini (National University of Malaysia)","Wan Mohtar, Wan Hanna Melini (National University of Malaysia); Abdul Maulud, Khairul Nizam (National University of Malaysia); Muhammad, Nur Shazwani (National University of Malaysia); Sharil, Suraya (National University of Malaysia); Yaseen, Zaher Mundher (Ton Duc Thang University)",60,32,2.73,10.16,,https://app.dimensions.ai/details/publication/pub.1112024617,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
4057,pub.1164574208,10.1016/j.jenvman.2023.119041,37783086,,A multi-step approach to evaluate the sustainable use of groundwater resources for human consumption and agriculture,"The rapid decline in both quality and availability of freshwater resources on our planet necessitates their thorough assessment to ensure sustainable usage. The growing demand for water in industrial, agricultural, and domestic sectors poses significant challenges to managing both surface and groundwater resources. This study tests and proposes a hybrid evaluation approach to determine Groundwater Quality Indices (GQIs) for irrigation (IRRI), seawater intrusion (SWI), and potability (POT), finalized to the spatial distribution of groundwater suitability involving water quality indicator along with hydrogeological and socio-economic factors. Mean Decrease Accuracy (MDA) and Information Gain Ratio (IGR) were used to state the importance of chosen factors such as level of groundwater above the sea, thickness of the aquifer, land cover, distance from coastline, silt soil content, recharge, distance from river and lagoons, depth to water table from ground, distance from agricultural wells, hydraulic conductivity, and lithology for each quality index, separately. The results of both methods showed that recharge is the most important parameter for GQIIRRI and GQIPOT, while the distance from the coastline and the rivers, are the most important for GQISWI. The spatial modelling of GQIIRRI and GQIPOT in the study area has been achieved applying three machine learning (ML) algorithms: the Boosted Regression Tree (BRT), the Random Forest (RF), and the Support Vector Machine (SVM). Validation results showed that RF has the highest prediction for GQIIRRI, while the SVM model has the highest prediction for the GQIPOT index. It is worth to mention that the future utilization and testing of new algorithms could produce even better results. Finally, GQIIRRI and GQIPOT were combined and compared using two combine and overlay methods to prepare a hybrid map of multi-GQIs. The results showed that 69% of the study area is suitable for irrigation and potable use, due to both geogenic and anthropogenic activities which contribute to make some water resources unsuitable for either use. Specifically, the northern, western, and eastern portions of the study area are in the ""very high and high quality"" classes while the southern portion shows ""very low and low quality"" classes. In conclusion, the developed map and approach can serve as a practical guide for enhancing groundwater management, identifying suitable areas for various uses and pinpointing regions requiring improved management practices.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements The present study is supported and financed by the project “NAtural and anThropogenic groUndwateR bAckground Level (NATURAL)” founded by University of Campania “Luigi Vanvitelli” within the Bando di Selezione per il Finanziamento di Progetti di Ricerca Fondamentale ed Applicata Dedicato ai Giovani Ricercatori.,,Journal of Environmental Management,,,"Humans; Environmental Monitoring; Groundwater; Water Quality; Water Resources; Agriculture; Water Pollutants, Chemical",2023-09-30,2023,2023-09-30,2023-12,347,,119041,All OA; Hybrid,Article,"Bordbar, Mojgan; Busico, Gianluigi; Sirna, Maurizio; Tedesco, Dario; Mastrocicco, Micol","Bordbar, Mojgan (University of Campania ""Luigi Vanvitelli"", Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Caserta, Italy; Department of GIS/RS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.); Busico, Gianluigi (University of Campania ""Luigi Vanvitelli"", Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Caserta, Italy; Department of Geology, Laboratory of Engineering Geology & Hydrogeology, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece. Electronic address: gianluigi.busico@unicampania.it.); Sirna, Maurizio (University of Campania ""Luigi Vanvitelli"", Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Caserta, Italy.); Tedesco, Dario (University of Campania ""Luigi Vanvitelli"", Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Caserta, Italy; Osservatorio Vesuviano, National Institute of Geophysics and Volcanology, Via Diocleziano 328, Napoli, 80124, Italy.); Mastrocicco, Micol (University of Campania ""Luigi Vanvitelli"", Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Caserta, Italy.)","Busico, Gianluigi (University of Campania ""Luigi Vanvitelli""; Aristotle University of Thessaloniki)","Bordbar, Mojgan (University of Campania ""Luigi Vanvitelli""; Islamic Azad University, Science and Research Branch); Busico, Gianluigi (University of Campania ""Luigi Vanvitelli""; Aristotle University of Thessaloniki); Sirna, Maurizio (University of Campania ""Luigi Vanvitelli""); Tedesco, Dario (University of Campania ""Luigi Vanvitelli""; National Institute of Geophysics and Volcanology); Mastrocicco, Micol (University of Campania ""Luigi Vanvitelli"")",6,6,,,https://doi.org/10.1016/j.jenvman.2023.119041,https://app.dimensions.ai/details/publication/pub.1164574208,37 Earth Sciences; 3704 Geoinformatics; 3705 Geology; 3707 Hydrology; 41 Environmental Sciences,
4055,pub.1139880461,10.1007/s10661-021-09313-6,34297217,,Using an unmanned aerial system to monitor and assess irrigation water channels susceptible to sediment deposition,"The irrigation channel of the Qishan River is among the most crucial agricultural water resource facilities in Qishan District, Kaohsiung City, Taiwan. The channel was blocked by debris due to flood events caused by Typhoon Morakot in 2009. This study analyzed images captured by an unmanned aerial system to identify channel areas susceptible to sediment deposition and propose measures for reducing the effects of natural hazards on irrigation water resources. The analysis results revealed that the channel was located downstream of the Qishan River; however, debris flows, riverbank landslides, and natural dam breaches deposited sediment in the downstream section, preventing the flow of water. Furthermore, the sediment and driftwood blocked the channel. The channel was also blocked due to a hyperconcentrated flow. Sediment deposition areas and volumes were estimated. On the basis of these results, we suggest that the damaged riverbed groundsills and river tributary banks be restored to inhibit erosion. In addition, subsurface water collection and transfer structures should be constructed to maintain the flow of water during the dry season. The study findings are expected to increase the efficiency of agricultural irrigation water management and prevent natural hazards from affecting water resources.",This research is supported by the Department of Irrigation and Engineering-Farm Irrigation Association of Kaohsiung of Tsao Foundation in Taiwan.,,Environmental Monitoring and Assessment,,,Agricultural Irrigation; Cities; Environmental Monitoring; Geologic Sediments; Taiwan; Water,2021-07-23,2021,2021-07-23,2021-08,193,8,506,Closed,Article,"Leu, Wen-Hao; Chen, Ho-Wen; Chen, Chien-Yuan","Leu, Wen-Hao (Farm Irrigation Association of Kaohsiung, 813, Kaohsiung City, Taiwan, Republic of China); Chen, Ho-Wen (Tunghai University, 407224, Taichung City, Taiwan, Republic of China); Chen, Chien-Yuan (National Chiayi University, 60004, Chiayi City, Taiwan, Republic of China)","Chen, Chien-Yuan (National Chiayi University)","Leu, Wen-Hao (Farm Irrigation Association of Kaohsiung, 813, Kaohsiung City, Taiwan, Republic of China); Chen, Ho-Wen (Tunghai University); Chen, Chien-Yuan (National Chiayi University)",0,0,,0.0,,https://app.dimensions.ai/details/publication/pub.1139880461,37 Earth Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,
4055,pub.1145432414,10.1007/s11356-022-19032-1,35142996,,A catchment scale assessment of water balance components: a case study of Chittar catchment in South India,"The detailed analyses of the water balance components (WBCs) of the catchment help assess the available water resources, especially in the arid climate regions for their sustainable management and development. This paper mainly used the Soil and Water Assessment Tool (SWAT) model to analyze the variation in the WBCs considering the change in the Land Use and Land Cover (LULC) and meteorological variables. For this purpose, the model used the inputs of LULC and meteorological variables between 2001 and 2020 at 5 years and daily time intervals, respectively, from the Chittar river catchment. The developed models were calibrated using SWAT-CUP split-up procedure (pre-calibration and post-calibration). The model was found to be good in calibration and validation, yielding the coefficient of determination (R2) of 0.94 and 0.81, respectively. Furthermore, WBCs of the catchment were estimated for the near future (2021–2030) at the monthly and annual scales. For this endeavor, LULC was forecasted for the years 2021 and 2026 using Cellular Automata (CA)-Artificial Neural Network (ANN), and for the same period, meteorological variables were also forecasted using the smoothing moving average method from the historical data.","The authors would sincerely acknowledge the Vellore Institute of Technology, Chennai, for providing a workspace and other facilities to contact this research work. Also, the authors acknowledge India-Water Resource Information System (India-WRIS) and Water Resources Department, State Ground and Surface Water Resources Data Centre, Tamilnadu, India, for providing the data required in the study. The authors would like to acknowledge USGS Earth Explorer for providing the Landsat series imagery. The authors also thank anonymous reviewers for their constructive comments as well as suggestions, which are very helpful for improving the quality of the manuscript.",,Environmental Science and Pollution Research,,,Climate; Climate Change; Rivers; Soil; Water,2022-02-10,2022,2022-02-10,2022-10,29,48,72384-72396,All OA; Green,Article,"Pandi, Dinagarapandi; Kothandaraman, Saravanan; Kasiviswanathan, K. S.; Kuppusamy, Mohan","Pandi, Dinagarapandi (School of Civil Engineering, Vellore Institute of Technology, 600127, Chennai, India); Kothandaraman, Saravanan (School of Civil Engineering, Vellore Institute of Technology, 600127, Chennai, India); Kasiviswanathan, K. S. (Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, 247 667, Roorkee, India); Kuppusamy, Mohan (School of Civil Engineering, Vellore Institute of Technology, 600127, Chennai, India)","Kothandaraman, Saravanan (Vellore Institute of Technology University)","Pandi, Dinagarapandi (Vellore Institute of Technology University); Kothandaraman, Saravanan (Vellore Institute of Technology University); Kasiviswanathan, K. S. (Indian Institute of Technology Roorkee); Kuppusamy, Mohan (Vellore Institute of Technology University)",4,4,0.45,1.91,https://www.researchsquare.com/article/rs-954410/latest.pdf,https://app.dimensions.ai/details/publication/pub.1145432414,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,15 Life on Land
4054,pub.1167216682,10.1007/s11356-023-31411-w,38127235,,Reconnoitre on ichthyofauna of Mahanadi River of India: shifting diversity down the river continuum and linking ecological traits with patterns in biodiversity,"Anthropogenic alterations have paramount impacts on the alpha and beta diversity of aquatic resources, and fishes are predominantly susceptible to such impacts. Mahanadi River, one of the major peninsular rivers of India, has abundant fish resources, which play a significant role in supporting the fishers’ livelihoods. The exploratory study in the river conducted for three consecutive years recorded 148 species under 53 families. Cyprinids dominated the fish diversity with 41 species, followed by Bagrids (9) and Sciaenids (7). One hundred-one species under 29 families were reported from the freshwater stretch. With a total of 111 species reported under 48 families, the estuarine and tidal freshwater stretch was more speciose, due to marine migrant species which advent the estuarine and tidal freshwaters stretch for breeding and feeding purposes. Tikarpara, a conserved site within a sanctuary, was the most species-diverse as well as a species-even site. The study also recorded the extension of the distributional range of 3 fish species and also 4 exotic species from the river. The seasonal variations in diversity indicated that the deviations were not prominent in freshwater sites, whereas in tidal brackish water sites, species richness was relatively higher in post-monsoon, and species evenness was higher during monsoon. Taxonomic distinctness test showed that the average taxonomic distinctness was high for tidal estuarine locations as they harbour taxonomically distant fishes. The hierarchical clustering of sites showed the inordinate effect of river gradient and fragmentation on the fish community structure. Analyzing the key drivers of the assemblage structure of the entire river, salinity was the major deterministic factor, and within the freshwater stretch, the major influences were depth, transparency, and specific conductivity. The study concluded that, despite all of its ecological stresses, Mahanadi still supports rich fish diversity, yet there is a notable shift in the fish community structure. There is a need for integrating molecular and morphological tools for the taxonomic revision of many genera and species for proper in situ and ex situ conservation measures and to formulate future biodiversity management plans addressing to reduce the impacts of the ecological threats.","The authors are grateful to ICAR, New Delhi and the Director, ICAR-CIFRI for the support to conduct the research. The authors thank the institute personnel who assisted during the research. The cooperation rendered by the fishers and local authority during sample collection is gratefully acknowledged. Thanks are due to Dr. Vaisakh G. for helping to prepare the map of the river. The work was carried out under an institutionally funded project “Monitoring and benchmarking ecosystem health of major river systems in India” of ICAR-Central Inland Fisheries Research Institute, Barrackpore, India.","This study was funded by the Indian Council of Agricultural Research, New Delhi.",Environmental Science and Pollution Research,,,Humans; Animals; Rivers; Biodiversity; Fresh Water; Fishes; India; Ecosystem,2023-12-21,2023,2023-12-21,2024-01,31,4,5684-5698,Closed,Article,"A. M., Sajina; Nair, Sangeetha Mohanachandran; Sudheesan, Deepa; Samanta, Srikanta; Paul, Samir Kumar; Bhowmick, Sanjay; Kumar, Vikas; Das, Basanta Kumar","A. M., Sajina (ICAR-Central Inland Fisheries Research Institute, Barrackpore, 700 120, Kolkata, West Bengal, India); Nair, Sangeetha Mohanachandran (ICAR-Central Inland Fisheries Research Institute, Barrackpore, 700 120, Kolkata, West Bengal, India); Sudheesan, Deepa (Kochi Research Station of ICAR-Central Inland Fisheries Research Institute, Kochi, Kerala, India); Samanta, Srikanta (ICAR-Central Inland Fisheries Research Institute, Barrackpore, 700 120, Kolkata, West Bengal, India); Paul, Samir Kumar (ICAR-Central Inland Fisheries Research Institute, Barrackpore, 700 120, Kolkata, West Bengal, India); Bhowmick, Sanjay (ICAR-Central Inland Fisheries Research Institute, Barrackpore, 700 120, Kolkata, West Bengal, India); Kumar, Vikas (ICAR-Central Inland Fisheries Research Institute, Barrackpore, 700 120, Kolkata, West Bengal, India); Das, Basanta Kumar (ICAR-Central Inland Fisheries Research Institute, Barrackpore, 700 120, Kolkata, West Bengal, India)","A. M., Sajina (Central Inland Fisheries Research Institute)","A. M., Sajina (Central Inland Fisheries Research Institute); Nair, Sangeetha Mohanachandran (Central Inland Fisheries Research Institute); Sudheesan, Deepa (Central Inland Fisheries Research Institute); Samanta, Srikanta (Central Inland Fisheries Research Institute); Paul, Samir Kumar (Central Inland Fisheries Research Institute); Bhowmick, Sanjay (Central Inland Fisheries Research Institute); Kumar, Vikas (Central Inland Fisheries Research Institute); Das, Basanta Kumar (Central Inland Fisheries Research Institute)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1167216682,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,14 Life Below Water
4054,pub.1144363166,10.1002/rra.3920,35431664,PMC9012111,"A fish‐based multi‐metric assessment index in the Karun River basin, Iran","Large river systems are one of the most important water resources for human societies. However, the ecological integrity of large rivers has been altered greatly by human activities. To monitor and manage these ecosystems, multimetric indices (MMI) are considered as efficient tools. This study aimed to develop and validate a fish-based multimetric index for the Karun River basin, Iran (Karun fish-based multi-metric index [KFMMI]). Eighteen rivers and 54 sites in the basin were sampled in July-August 2019, and physico-chemical and habitat characteristics were used to identify reference sites based on principal components analysis (PCA). Of the 54 sites, 14, 26, and 14 sites were classified as least, moderate, and most disturbed sites, respectively. Fifty-four candidate metrics were evaluated for range, responsiveness, and redundancy with other metrics. This resulted in the identification of eight metrics (relative abundance of native and endemic taxa, relative richness of migratory taxa, relative richness of Leuciscidae taxa, relative richness of herbivorous taxa, relative abundance of cyprinid taxa, relative richness of vegetative inhabitant taxa, relative abundance of slow water flow, and relative richness of edge inhabitant taxa) that informed on species richness and composition, migratory status, functional feeding groups, and habitat preferences. The KFMMI showed excellent performance in separating least, moderate, and most disturbed sites in our study area. Regarding water quality, the KFMMI was classified 16, 5, and 29 sites as good, moderate, and bad, respectively. The discrimination efficiency of KFMMI was 81.6%, which makes it an effective management tool for directing restoration actions at most disturbed sites and intensifying protection of least disturbed sites.",,,River Research and Applications,,,,2022-01-03,2022,2022-01-03,2022-03,38,3,573-594,All OA; Green,Article,"Zare‐Shahraki, Mojgan; Ebrahimi‐Dorche, Eisa; Keivany, Yazdan; Blocksom, Karen; Bruder, Andreas; Flotemersch, Joseph","Zare‐Shahraki, Mojgan (Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran); Ebrahimi‐Dorche, Eisa (Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran); Keivany, Yazdan (Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran); Blocksom, Karen (U.S. Environmental Protection Agency, Office of Research and Development, Corvallis, Oregon, USA); Bruder, Andreas (Institute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland, Mendrisio, Ticino, Switzerland); Flotemersch, Joseph (U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, Ohio, USA)","Ebrahimi‐Dorche, Eisa (Isfahan University of Technology)","Zare‐Shahraki, Mojgan (Isfahan University of Technology); Ebrahimi‐Dorche, Eisa (Isfahan University of Technology); Keivany, Yazdan (Isfahan University of Technology); Blocksom, Karen (Environmental Protection Agency); Bruder, Andreas (University of Applied Sciences and Arts of Southern Switzerland); Flotemersch, Joseph (Environmental Protection Agency)",3,3,0.34,1.86,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012111,https://app.dimensions.ai/details/publication/pub.1144363166,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,14 Life Below Water
4052,pub.1016083559,10.1016/j.scitotenv.2016.06.210,27499498,,"Evaluating the evolution of the Heihe River basin using the ecological network analysis: Efficiency, resilience, and implications for water resource management policy","One of the most critical challenges in the anthropocentric age is the sustainable management of the planet's increasingly strained water resources. In this avenue, there is a need to advance holistic approaches and objective tools which allow policy makers to better evaluate system-level properties and trade-offs of water resources. This research contributes to the expanding literature in this area by examining the changes to system-level network configurations of the middle reaches of the Heihe River basin from 2000 to 2009. Specifically, through the ecological network analysis (ENA) approach, this research examines changes to the system-level properties of efficiency, redundancy, and evaluates the trade-offs to the resiliency of ecosystem water services of the middle reaches of the Heihe River basin. Our results indicate that while the efficiency of the middle reaches has increased from 2000 to 2009 by 6% and 78% more water is released to the lower reaches, the redundancy of the system has also decreased by 6%. The lower level of redundancy, particularly due to the changes in the groundwater body levels, has critical long-term consequences for the resilience of the water ecosystem services of the middle reaches. In consideration of these holistic trade-offs, two hypothetical alternative scenarios, based on water recycling and saving strategies, are developed to improve the long-term health and resilience of the water system.",,,The Science of The Total Environment,,,,2016-08-04,2016,2016-08-04,2016-12,572,,688-696,Closed,Article,"Kharrazi, Ali; Akiyama, Tomohiro; Yu, Yadong; Li, Jia","Kharrazi, Ali (Advanced Systems Analysis Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; Graduate School of Public Policy, The University of Tokyo, Japan); Akiyama, Tomohiro (Graduate Program in Sustainability Science–Global Leadership Initiative, Graduate School of Frontier Sciences, The University of Tokyo, Japan); Yu, Yadong (School of Business, East China University of Science and Technology, Shanghai 200237, China); Li, Jia (Department of International Studies Regional Development, University of Niigata Prefecture, Japan)","Kharrazi, Ali (International Institute for Applied Systems Analysis; The University of Tokyo)","Kharrazi, Ali (International Institute for Applied Systems Analysis; The University of Tokyo); Akiyama, Tomohiro (The University of Tokyo); Yu, Yadong (East China University of Science and Technology); Li, Jia (University of Niigata Prefecture)",61,23,0.68,7.97,,https://app.dimensions.ai/details/publication/pub.1016083559,37 Earth Sciences; 3707 Hydrology; 38 Economics,
4051,pub.1140000816,10.1007/s00267-021-01507-5,34322735,,More Than Just a Trend: Integrating Population Viability Models to Improve Conservation Management of Colonial Waterbirds,"Waterbird populations in eastern Australia have been declining over the past 35 years primarily due to water resource development and resultant changes to natural river flows and flooding. To mitigate these impacts there is an increased allocation of water for the environment, including waterbird populations. We used population viability models to identify the frequency of breeding events required to reverse the trend and achieve long-term species’ management objectives. We found that the population size of straw-necked ibis was primarily dictated by the frequency of large breeding events and to a lesser extent by adult annual survival and the frequency of small breeding events. We identified combinations of small and large breeding events over the next 10 years required for increased population growth. We also assessed the likelihood of current water management policies increasing populations and thereby reversing the decline in eastern Australia’s waterbird populations.",,,Environmental Management,,,Animals; Birds; Conservation of Natural Resources; Floods; Population Dynamics; Rivers,2021-07-28,2021,2021-07-28,2021-10,68,4,468-476,Closed,Article,"Brandis, K. J.; Bino, G.; Kingsford, R. T.","Brandis, K. J. (Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, 2052, Sydney, Australia); Bino, G. (Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, 2052, Sydney, Australia); Kingsford, R. T. (Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, 2052, Sydney, Australia)","Brandis, K. J. (UNSW Sydney)","Brandis, K. J. (UNSW Sydney); Bino, G. (UNSW Sydney); Kingsford, R. T. (UNSW Sydney)",3,2,0.21,0.7,,https://app.dimensions.ai/details/publication/pub.1140000816,41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4104 Environmental Management,
4049,pub.1122484829,10.1007/s11356-019-06693-8,31713136,,Application of Systems Thinking to the assessment of an institutional development project of river restoration at a campus university in Southern Brazil,"Rapid urban growth and high population density have become a problem for urban water resources, especially in developing countries. In general, the pollution of rivers and degradation of ecosystems are the result of both management failures and lack of sewage treatment. River restoration appears as a solution to improve this scenario, but it is common for there to be an absence of a systemic vision in these projects. Thus, this work analysed one of these projects as an initial approach to create coherent (qualitative) shared perspectives on the same problem. This project was developed in a Brazilian university territory in response to a Public Civil Action. Rivers within the university surroundings are degraded due to sewage disposal and wastewater pollution from external and internal sources within the university, but the programme actions contemplate only interventions within the perimeter of the university while excluding the other parts of its watershed. We analyse this problem under a Systems Thinking approach by using causal loop diagrams, being clear that ecosystems cannot be reduced to territorial limits only. The systemic map shows many actions that contribute to the water quality degradation, with emphasis on illegal dumping of wastewater (sewage) and land use change in the upstream areas prior to the university. Point measures are palliative and do not guarantee the quality of river water. Regulation of impervious surfaces and correct disposal of wastewater can improve the current panorama, but greater integration between stakeholders and other key actors is required.",,The first author gratefully acknowledges the financial support provided by the National Council for Scientific and Technological Development of Brazil (CNPq).,Environmental Science and Pollution Research,,,Brazil; Ecosystem; Environmental Monitoring; Rivers; Systems Analysis; Universities,2019-11-11,2019,2019-11-11,2020-05,27,13,14299-14317,Closed,Article,"Tasca, Fabiane Andressa; Goerl, Roberto Fabris; Michel, Gean Paulo; Leite, Nei Kavaguichi; Sérgio, Djesser Zechner; Belizário, Saman; Caprario, Jakcemara; Finotti, Alexandra Rodrigues","Tasca, Fabiane Andressa (Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil); Goerl, Roberto Fabris (Department of Geosciences, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil); Michel, Gean Paulo (Department of Hydraulic Works, Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil); Leite, Nei Kavaguichi (Department of Ecology and Zoology, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil); Sérgio, Djesser Zechner (Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil); Belizário, Saman (Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil); Caprario, Jakcemara (Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil); Finotti, Alexandra Rodrigues (Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil)","Tasca, Fabiane Andressa (Universidade Federal de Santa Catarina)","Tasca, Fabiane Andressa (Universidade Federal de Santa Catarina); Goerl, Roberto Fabris (Universidade Federal de Santa Catarina); Michel, Gean Paulo (Federal University of Rio Grande do Sul); Leite, Nei Kavaguichi (Universidade Federal de Santa Catarina); Sérgio, Djesser Zechner (Universidade Federal de Santa Catarina); Belizário, Saman (Universidade Federal de Santa Catarina); Caprario, Jakcemara (Universidade Federal de Santa Catarina); Finotti, Alexandra Rodrigues (Universidade Federal de Santa Catarina)",5,4,,0.83,,https://app.dimensions.ai/details/publication/pub.1122484829,41 Environmental Sciences; 4104 Environmental Management,15 Life on Land; 6 Clean Water and Sanitation
4047,pub.1086129189,10.1016/j.scitotenv.2017.05.259,28623789,,Linking Pan-European data to the local scale for decision making for global change and water scarcity within water resources planning and management,"This study focuses on a novel type of methodology which connects Pan-European data to the local scale in the field of water resources management. This methodology is proposed to improve and facilitate the decision making within the planning and management of water resources, taking into account climate change and its expected impacts. Our main point of interest is focused on the assessment of the predictability of extreme events and their possible effects, specifically droughts and water scarcity. Consequently, the Júcar River Basin was selected as the case study, due to the ongoing water scarcity problems and the last drought episodes suffered in the Mediterranean region. In order to study these possible impacts, we developed a modeling chain divided into four steps, they are: i) data collection, ii) analysis of available data, iii) models calibration and iv) climate impact analysis. Over previous steps, we used climate data from 15 different regional climate models (RCMs) belonging to the three different Representative Concentration Pathways (RCPs) coming from a hydrological model across all of Europe called E-HYPE. The data were bias corrected and used to obtain statistical results of the availability of water resources for the future (horizon 2039) and in form of indicators. This was performed through a hydrological (EVALHID), stochastic (MASHWIN) and risk management (SIMRISK) models, all of which were specifically calibrated for this basin. The results show that the availability of water resources is much more enthusiastic than in the current situation, indicating the possibility that climate change, which was predicted to occur in the future has already happened in the Júcar River Basin. It seems that the so called ""Effect 80"", an important decrease in water resources for the last three decades, is not well contemplated in the initial data.","AcknowledgementsThe authors thank the anonymous reviewers for their valuable comments, suggestions and positive feedback. All remaining errors, however, are solely the responsibility of the authors. We would also like to express our gratitude to the Júcar River Basin Authority – Confederación Hidrográfica del Júcar (Spanish Ministry of Agriculture, Fishery, Food and Environment) for providing data to develop this study. The authors wish to thank the Spanish Ministry of Economy and Competitiveness for its financial support through the NUTEGES project (CGL2012-34978) and ERAS project (CTM2016-77804-P). We also value the support provided by the European Community&#x27;s Seventh Framework Program in financing the projects ENHANCE (FP7-ENV-2012, 308438), AGUAMOD (Interreg V-B Sudoe 2016), SWICCA (ECMRWF-Copernicus-FA 2015/C3S_441-LOT1/SMHI) and IMPREX (H2020-WATER-2014–2015, 641811).",,The Science of The Total Environment,,,,2017-06-23,2017,2017-06-23,2017-12,603,,126-139,All OA; Green,Article,"Suárez-Almiñana, Sara; Pedro-Monzonís, María; Paredes-Arquiola, Javier; Andreu, Joaquín; Solera, Abel","Suárez-Almiñana, Sara (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain); Pedro-Monzonís, María (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain); Paredes-Arquiola, Javier (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain); Andreu, Joaquín (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain); Solera, Abel (Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain)","Suárez-Almiñana, Sara (Universitat Politècnica de València)","Suárez-Almiñana, Sara (Universitat Politècnica de València); Pedro-Monzonís, María (Universitat Politècnica de València); Paredes-Arquiola, Javier (Universitat Politècnica de València); Andreu, Joaquín (Universitat Politècnica de València); Solera, Abel (Universitat Politècnica de València)",30,9,0.38,3.74,https://riunet.upv.es/bitstream/10251/101710/3/Version%20de%20autor.pdf,https://app.dimensions.ai/details/publication/pub.1086129189,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 6 Clean Water and Sanitation
4046,pub.1026659491,10.1590/1519-6984.01113suppl,26815942,,"Environmental education for sustainable management of the basins of the rivers Pirapó, Paranapanema III and Parapanema IV","The growing concern about the quantity and quality of water has led managers and researchers from various countries to concentrate efforts in the study, planning and management of watersheds, considered appropriate units for the rational and sustainable management of water resources. This experience report presents results of the Program for Communication, Environmental Education and Social Mobilization, which is part of the project ""Monitoring Network of the basins of the rivers Pirapó, Paranapanema III and Paranapanema IV - analysis and monitoring of the hydrological behavior"", developed by a multidisciplinary team of researchers and graduate students of the State University of Maringá (Paraná, Brazil). The goals of the program were: a) To develop continuing education for teachers of basic education, active in state schools located in the basins studied; b) To raise awareness and to promote training of various local social actors; c) To produce educational and promotional materials for teachers and general community, respectively. The methodology was the action research, on the basis of collaborative work between university researchers and participants of the program. The results evidence that teachers and representatives of different social groups had a limited view of issues related to water resources of their region. Courses, workshops and itinerant exhibitions, beyond teaching aids and promotional material prepared by the group of researchers and graduate students contributed to broaden the view of social actors about watersheds to which they are part, from the perspective of an active, critical and responsible participation focused on sustainable use and management of water resources.",,,Brazilian Journal of Biology,,,Brazil; Conservation of Natural Resources; Education; Faculty; Information Dissemination; Rivers,2015-12,2015,,2015-12,75,4 suppl 2,137-147,All OA; Gold,Article,"Obara, A. T.; Kovalski, M. L.; Regina, V. B.; Riva, P. B.; Hidalgo, M. R.; Galvão, C. B.; Takahashi, B. T.","Obara, A. T. (Departamento de Biologia, Universidade Estadual de Maringá, Maringá, PR, Brazil, Departamento de Biologia, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil; Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá, Maringá, PR, Brazil, Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil); Kovalski, M. L. (Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá, Maringá, PR, Brazil, Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil); Regina, V. B. (Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá, Maringá, PR, Brazil, Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil); Riva, P. B. (Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá, Maringá, PR, Brazil, Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil); Hidalgo, M. R. (Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá, Maringá, PR, Brazil, Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil); Galvão, C. B. (Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá, Maringá, PR, Brazil, Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil); Takahashi, B. T. (Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá, Maringá, PR, Brazil, Programa de Pós-graduação em Educação para a Ciência e a Matemática, Universidade Estadual de Maringá – UEM, Av. Colombo, 5790, CEP 87020-900, Maringá, PR, Brazil)","Obara, A. T. (State University of Maringá; State University of Maringá)","Obara, A. T. (State University of Maringá; State University of Maringá); Kovalski, M. L. (State University of Maringá); Regina, V. B. (State University of Maringá); Riva, P. B. (State University of Maringá); Hidalgo, M. R. (State University of Maringá); Galvão, C. B. (State University of Maringá); Takahashi, B. T. (State University of Maringá)",3,0,,1.13,https://www.scielo.br/j/bjb/a/DVcpg88RVK35CMHj4rgDbnd/?lang=en&format=pdf,https://app.dimensions.ai/details/publication/pub.1026659491,39 Education; 3903 Education Systems,4 Quality Education
4045,pub.1135379939,10.1007/s10661-021-08918-1,33587192,,"Multivariate statistics for spatial and seasonal quality assessment of water in the Doce River basin, Southeastern Brazil","This study employed multivariate statistical techniques in one of the main river basins in Brazil, the Doce River basin, to select and evaluate the most representative parameters of the current water quality aspects, and to group the stations according to the similarity of the selected parameters, for both dry and rainy seasons. Data from 63 qualitative monitoring stations, belonging to the Minas Gerais Water Management Institute network were used, considering 38 parameters for the hydrological year 2017/2018. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to reduce the total number of variables and to group stations with similar characteristics, respectively. Using PCA, four principal components were selected as indicators of water quality, explaining the cumulative variance of 68% in the rainy season and 65% in the dry season. The HCA grouped the stations into four groups in the rainy season and three groups in the dry season, showing the influence of seasonality on the grouping of stations. Moreover, the HCA made it possible to differentiate water quality stations located in the headwaters of the basin, in the main river channel, and near urban centers. The results obtained through multivariate statistics proved to be important in understanding the current water quality situation in the basin and can be used to improve the management of water resources because the collection and analysis of all parameters in all monitoring stations require greater availability of financial resources.",,,Environmental Monitoring and Assessment,,,"Brazil; Environmental Monitoring; Rivers; Seasons; Water; Water Pollutants, Chemical; Water Quality",2021-02-15,2021,2021-02-15,2021-03,193,3,125,Closed,Article,"Passos, Jéssica Bandeira de Melo Carvalho; Teixeira, David Bruno de Sousa; Campos, Jasmine Alves; Lima, Rafael Petruceli Coelho; Fernandes-Filho, Elpídio Inácio; da Silva, Demetrius David","Passos, Jéssica Bandeira de Melo Carvalho (Department of Agricultural Engineering, Universidade Federal de Viçosa - UFV, Viçosa, MG, Brazil); Teixeira, David Bruno de Sousa (Department of Agricultural Engineering, Universidade Federal de Viçosa - UFV, Viçosa, MG, Brazil); Campos, Jasmine Alves (Department of Agricultural Engineering, Universidade Federal de Viçosa - UFV, Viçosa, MG, Brazil); Lima, Rafael Petruceli Coelho (Department of Agricultural Engineering, Universidade Federal de Viçosa - UFV, Viçosa, MG, Brazil); Fernandes-Filho, Elpídio Inácio (Department of Soil, Universidade Federal de Viçosa - UFV, Viçosa, MG, Brazil); da Silva, Demetrius David (Department of Agricultural Engineering, Universidade Federal de Viçosa - UFV, Viçosa, MG, Brazil)","Passos, Jéssica Bandeira de Melo Carvalho (Universidade Federal de Viçosa)","Passos, Jéssica Bandeira de Melo Carvalho (Universidade Federal de Viçosa); Teixeira, David Bruno de Sousa (Universidade Federal de Viçosa); Campos, Jasmine Alves (Universidade Federal de Viçosa); Lima, Rafael Petruceli Coelho (Universidade Federal de Viçosa); Fernandes-Filho, Elpídio Inácio (Universidade Federal de Viçosa); da Silva, Demetrius David (Universidade Federal de Viçosa)",13,9,0.9,4.08,,https://app.dimensions.ai/details/publication/pub.1135379939,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4043,pub.1158249273,10.1007/s10661-023-11331-5,37212953,,Application of deep learning approaches to predict monthly stream flows,"Abstract
Accurate and reliable flow estimations are of great importance for hydroelectric power generation, flood and drought risk management, and the effective use of water resources. This research carries out a comprehensive study on the application of gated recurrent unit (GRU) neural network, recurrent neural network (RNN), and long short-term memory (LSTM) to predict with river flows at three different streamflow observation stations in Erzincan, Bayburt, and Gümüshane. Monthly streamflow time series covering the years 1978 to 2015 were used to set up artificial intelligence models. During the modeling phase, 70% of the data was divided into training (October 1978–April 2004), 15% validation (May 2004–September 2009), and 15% test set (October 2010–September 2015). Model performances were made according to the correlation coefficient, root mean square error, the ratio of RMSE to the standard deviation, Nash–Sutcliffe efficiency coefficient, index of agreement, and volumetric efficiency values. The calculation results show that GRU leads efficient estimation results for estimating streamflow and can also be used in allied water resources.",The data used in the study were obtained from the general directorate of electric power resources survey and development administration.,,Environmental Monitoring and Assessment,,,"Artificial Intelligence; Rivers; Deep Learning; Environmental Monitoring; Neural Networks, Computer",2023-05-22,2023,2023-05-22,2023-06,195,6,705,Closed,Article,"Dalkilic, H. Yildirim; Kumar, Deepak; Samui, Pijush; Dixon, Barnali; Yesilyurt, S. Nur; Katipoğlu, O. Mert","Dalkilic, H. Yildirim (Department of Civil Engineering, Erzincan Binali Yıldırım University, Erzincan, Turkey); Kumar, Deepak (Department of Agriculture, Government of Bihar, Bihar, India); Samui, Pijush (Department of Civil Engineering, National Institute of Technology Patna, Patna, India); Dixon, Barnali (Professor of GIS and Remote Sensing, University of South Florida, 140 Seventh Ave South, 33701, St. Petersburg, FL, USA); Yesilyurt, S. Nur (Department of Civil Engineering, Erzincan Binali Yıldırım University, Erzincan, Turkey); Katipoğlu, O. Mert (Department of Civil Engineering, Erzincan Binali Yıldırım University, Erzincan, Turkey)","Dalkilic, H. Yildirim (Erzincan University)","Dalkilic, H. Yildirim (Erzincan University); Kumar, Deepak (Department of Agriculture, Government of Bihar, Bihar, India); Samui, Pijush (National Institute of Technology Patna); Dixon, Barnali (University of South Florida); Yesilyurt, S. Nur (Erzincan University); Katipoğlu, O. Mert (Erzincan University)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1158249273,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,7 Affordable and Clean Energy
4043,pub.1127384729,10.1007/s11356-020-08963-2,32372355,,Impact of climate change and human activities on economic values produced by ecosystem service functions of rivers in water shortage area of Northwest China,"Climate change and human activities are affecting the ecological health of rivers and the economic value of its ecosystem services. Taking water quantity as the intermediate variable, we proposed a quantitative calculation method for the impact of climate change and human activities on the economic value produced by the ecosystem service functions of rivers. The framework mainly consists of three steps: firstly, we quantitatively determined the changes in the amount of water coming from rivers due to climate change and human activities; secondly, combining the theory of resource and environmental economics to calculate the economic value generated by ecological service functions of rivers; finally, we quantitatively identified and analyzed the impact of climate change and human activities on the economic value produced by the ecosystem service functions of rivers. Taking Baoji section of Weihe River (BSWR) as an example, we quantitatively analyzed and calculated the impact of climate change and human activities on the economic value produced by ecosystem service functions of rivers. The main conclusions of this paper are as follows: in recent 52 years, the economic value produced by the ecosystem service functions of rivers decreased by 3.57 billion yuan due to the climate change and human activities; the total economic value has been reduced by an average of 68 million yuan per year. This useful work can not only reveal the impact of climate change and human activities on the economic value of ecosystem services of rivers but also can provide an important basis for the reasonable management model of water resource of ecosystem of rivers watershed.",This research was funded by the National Natural Science Foundation of China (Key Program) (Grant No.51939009). And we are grateful to the editors and the anonymous reviewers for their insightful comments and suggestions.,,Environmental Science and Pollution Research,,,China; Climate Change; Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Human Activities; Rivers; Water,2020-05-05,2020,2020-05-05,2020-07,27,21,26570-26578,Closed,Article,"Cheng, Bo; Li, Huaien","Cheng, Bo (State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an University of Technology, 710048, Xi’an, China); Li, Huaien (State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an University of Technology, 710048, Xi’an, China)","Li, Huaien (Xi'an University of Technology)","Cheng, Bo (Xi'an University of Technology); Li, Huaien (Xi'an University of Technology)",21,16,0.48,8.51,,https://app.dimensions.ai/details/publication/pub.1127384729,37 Earth Sciences; 3704 Geoinformatics; 38 Economics,13 Climate Action
4040,pub.1160499698,10.1016/j.jenvman.2023.118565,37429090,,Characterising baseflow signature variability in the Yellow River Basin,"Baseflow is pivotal in maintaining catchment ecological health and improving sustainable economic development. The Yellow River Basin (YRB) is northern China's most important water supplier. However, it faces water shortage due to synergistic effects between natural conditions and anthropogenic activities. Investigating baseflow characteristics quantitively is, therefore, beneficial to promoting the sustainable development of the YRB. In this study, daily ensemble means baseflow data derived from four revised baseflow separation algorithms (i.e., the United Kingdom Institute of Hydrology (UKIH), Lyne-Hollick, Chapman-Maxwell, and Eckhardt methods) - was obtained from 2001 to 2020. Thirteen baseflow dynamics signatures were extracted to investigate baseflow spatiotemporal variations and their determinants across the YRB. The main findings were: (1) There were significant spatial distribution patterns of baseflow signatures, and most signatures had higher values in upstream and downstream reaches than in the middle reaches. There were also mixing patterns with higher values in middle and downstream reaches simultaneously. (2) The magnitude of temporal variation in baseflow signatures was most strongly correlated with catchment terrain (r = -0.4), vegetation growth (r > 0.3), and cropland coverage (r > 0.4). (3) There was a strong synergistic effect of multiple factors (e.g., soil textures, precipitation and vegetation conditions) on baseflow signature values. This study provided a heuristic evaluation of baseflow characteristics in the YRB, contributing to water resources management in the YRB and similar catchments.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This study is jointly supported by the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (2019QZKK0903-02 and 2019QZKK0207-02), National Natural Science Foundation of China (42101038 and 51909275), Natural Science Foundation of Shandong Province (ZR2019BD059), the Young Talent Think Tank of Science and Technology of the China Association of Science and Technology (20220615ZZ07110156), the IWHR Research Development Support Program (WR110145B0052021), and the Qinghai Central Government Guided Local Science and Technology Development Fund Project (2022ZY020). We thank the anonymous reviewers and editors for their thoughtful and constructive comments and suggestions. The authors would like to express their gratitude to EditSprings (https://www.editsprings.cn) for the expert linguistic services provided.",,Journal of Environmental Management,,,Algorithms; Anthropogenic Effects; Hydrology; Rivers; Water; China,2023-07-08,2023,2023-07-08,2023-11,345,,118565,Closed,Article,"Lyu, Shixuan; Guo, Chunling; Zhai, Yuyu; Huang, Mengdong; Zhang, Guotao; Zhang, Yongqiang; Cheng, Lei; Liu, Qiang; Zhou, Yuyan; Woods, Ross; Zhang, Junlong","Lyu, Shixuan (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China; Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK.); Guo, Chunling (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China.); Zhai, Yuyu (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China; University of the Chinese Academy of Sciences, Beijing, 100049, China.); Huang, Mengdong (Key Laboratory for Resource Use and Environmental Remediation, CAS, Beijing, 100101, China; University of the Chinese Academy of Sciences, Beijing, 100049, China; College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China.); Zhang, Guotao (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing, 100101, China.); Zhang, Yongqiang (Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.); Cheng, Lei (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China; Hubei Provincial Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan, 430072, China.); Liu, Qiang (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China; Key Laboratory for Water and Sediment Sciences, Ministry of Education, School of Environment, Beijing Normal University, Beijing, 100875, China.); Zhou, Yuyan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China.); Woods, Ross (Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK.); Zhang, Junlong (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China. Electronic address: Junlong.Zhang@sdnu.edu.cn.)","Zhang, Junlong (Shandong Normal University)","Lyu, Shixuan (Shandong Normal University; University of Bristol); Guo, Chunling (Shandong Normal University); Zhai, Yuyu (Shandong Normal University; Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences); Huang, Mengdong (Chinese Academy of Sciences; University of Chinese Academy of Sciences; Beijing Normal University); Zhang, Guotao (Institute of Geographic Sciences and Natural Resources Research); Zhang, Yongqiang (Institute of Geographic Sciences and Natural Resources Research); Cheng, Lei (Wuhan University); Liu, Qiang (Beijing Normal University; Ministry of Education of the People's Republic of China); Zhou, Yuyan (China Institute of Water Resources and Hydropower Research); Woods, Ross (University of Bristol); Zhang, Junlong (Shandong Normal University)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1160499698,37 Earth Sciences; 3707 Hydrology,
4040,pub.1136992512,10.1007/s00267-021-01447-0,33829278,,Battling Water Limits to Growth: Lessons from Water Trends in the Central Plateau of Iran,"The Zayandeh-Rud River Basin in the central plateau of Iran continues to grapple with water shortages due to a water-intensive development path made possible by a primarily supply-oriented water management approach to battle the water limits to growth. Despite inter-basin water transfers and increasing groundwater supply, recurring water shortages and associated tensions among stakeholders underscore key weaknesses in the current water management paradigm. There was an alarming trend of groundwater depletion in the basin’s four main aquifers in the 1993–2016 period as indicated by the results of the Mann-Kendall3 (MK3) test and Innovative Trend Analysis (ITA) of groundwater volume. The basin’s water resources declined by more than 6 BCM in 2016 compared to 2005 based on the equivalent water height (EWH) derived from monthly data (2002–2016) from the GRACE. The extensive groundwater depletion is an unequivocal evidence of reduced water availability in the face of growing basin-wide demand, necessitating water saving in all water use sectors. Implementing an integrated water resources management plan that accounts for evolving water supply priorities, growing demand and scarcity, and institutional changes is an urgent step to alleviate the growing tensions and preempt future water insecurity problems that are bound to occur if demand management approaches are delayed.","We appreciate constructive comments from two anonymous referees, which helped improve our paper. The second author acknowledges the Iranian and Persian Gulf Studies (IPGS) professorship from Oklahoma State University’s School of Global Studies and Partnerships. The last author acknowledges the Henry Hart Rice Senior Fellowship from the Council on Middle East Studies of the MacMillan Center for International and Area Studies at Yale University.",,Environmental Management,,,Groundwater; Iran; Rivers; Water; Water Supply,2021-04-07,2021,2021-04-07,2021-07,68,1,53-64,All OA; Green,Article,"Sharifi, Alireza; Mirchi, Ali; Pirmoradian, Roghayeh; Mirabbasi, Rasoul; Tourian, Mohammad Javad; Haghighi, Ali Torabi; Madani, Kaveh","Sharifi, Alireza (Department of Water Engineering, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran); Mirchi, Ali (Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, USA); Pirmoradian, Roghayeh (Department of Water Engineering, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran); Mirabbasi, Rasoul (Department of Water Engineering, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran); Tourian, Mohammad Javad (Institute of Geodesy, University of Stuttgart, Stuttgart, Germany); Haghighi, Ali Torabi (Water, Energy and Environmental Engineering Research Unit, University of Oulu, Oulu, Finland); Madani, Kaveh (Council on Middle East Studies, The Whitney and Betty MacMillan Center for International and Area Studies, Yale University, New Haven, USA; Centre for Environmental Policy, Imperial College, London, UK)","Sharifi, Alireza (Shahrekord University)","Sharifi, Alireza (Shahrekord University); Mirchi, Ali (Oklahoma State University); Pirmoradian, Roghayeh (Shahrekord University); Mirabbasi, Rasoul (Shahrekord University); Tourian, Mohammad Javad (University of Stuttgart); Haghighi, Ali Torabi (University of Oulu); Madani, Kaveh (Yale University; Imperial College London)",27,21,0.75,11.69,http://jultika.oulu.fi/files/nbnfi-fe2022012510078.pdf,https://app.dimensions.ai/details/publication/pub.1136992512,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
4040,pub.1155471970,10.3390/microorganisms11020496,36838461,PMC9967387,Determinants and Assembly Mechanism of Bacterial Community Structure in Ningxia Section of the Yellow River,"The Yellow River is a valuable resource in the Ningxia Hui Autonomous Region and plays a vital role in local human activities and biodiversity. Bacteria are a crucial component of river ecosystems, but the driving factors and assembly mechanisms of bacterial community structure in this region remain unclear. Herein, we documented the bacterial community composition, determinants, co-occurrence pattern, and assembly mechanism for surface water and sediment. In comparison to sediment, the bacterioplankton community showed significant seasonal variation, as well as less diversity and abundance. The network topology parameters indicated that the sediment bacterial network was more stable than water, but the bacterioplankton network had higher connectivity. In this lotic ecosystem, CODMn, Chl a, and pH affected the structure of the bacterioplankton community, while TP was the primary factor influencing the structure of the sediment bacterial community. The combined results of the neutral community model and the phylogenetic null model indicate that Bacterial communities in both habitats were mainly affected by stochastic processes, with ecological processes dominated by ecological drift for bacterioplankton and dispersal limitation for sediment bacteria. These results provide essential insights into future research on microbial ecology, environmental monitoring, and classified management in the Ningxia section of the Yellow River.","We thank all the authors for their contributions. We acknowledge Wen Zhang from the Ningxia Supervision Institute for Veterinary Drugs and Animal Feedstuffs for her outstanding assistance with the formal analysis and investigation. We would like to convey our deep thankfulness and unfathomable regard to editors, reviewers, and authors of all references.","This work was financially supported by the Ningxia University first-class discipline (water conservancy engineering) construction subsidy project under award number NXYLXK2021A03, Key Research and Development Plan (key project) of Ningxia Hui Autonomous Region (2019BFG02014), Ningxia Natural Science Foundation (2020AAC03280).",Microorganisms,,"Mohammad Katouli, Darija Vukić Lušić, Damir Kapetanović",,2023-02-16,2023,2023-02-16,,11,2,496,All OA; Gold,Article,"Zhao, Rui-Zhi; Zhang, Wei-Jiang; Zhao, Zeng-Feng; Qiu, Xiao-Cong","Zhao, Rui-Zhi (School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China.); Zhang, Wei-Jiang (School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China.); Zhao, Zeng-Feng (School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China.); Qiu, Xiao-Cong (School of Life Science, Ningxia University, Yinchuan 750021, China.)","Zhang, Wei-Jiang (Ningxia University); Qiu, Xiao-Cong (Ningxia University)","Zhao, Rui-Zhi (Ningxia University); Zhang, Wei-Jiang (Ningxia University); Zhao, Zeng-Feng (Ningxia University); Qiu, Xiao-Cong (Ningxia University)",1,1,,,https://www.mdpi.com/2076-2607/11/2/496/pdf?version=1676540964,https://app.dimensions.ai/details/publication/pub.1155471970,31 Biological Sciences; 3103 Ecology; 3107 Microbiology,
4039,pub.1112849657,10.1016/j.jenvman.2019.03.047,30897481,,Water quality modelling under unsteady state analysis: Strategies for planning and management,"Recent water resources planning and management strategies state that the concepts of risk and variable inputs should be appraised in order to comply with multiple conditions. This becomes evident especially in environments with diverse uses of water, land use and climate change. In such a context, modelling of discharges and concentrations in rivers are valuable strategies to predict different scenarios. This research proposes an integrated analysis for modelling of flow and contaminant transport in rivers, based on hydrodynamics, time series, and water quality simulations. The first module estimates water volume and velocity, that have direct impact in pollutants transport; time series of concentrations are generated as synthetic pollutographs, using techniques based on flow conditions, time and statistical factors of a historical monitoring dataset - the objective is to match temporal scales of boundary conditions, since water quality data is usually available as irregular samples; the third module solves the advection-dispersion-reaction equation, exploring the different synthetic series as input. Results evidence that the input pollutograph, usually not explored in similar studies, may have a significant role in simulations for transport of substance in rivers under unsteady state; as consequence, corroborate with better estimates for planning strategies where temporal dynamic is relevant. The contributions lay the basis for further assessment of riverine systems linked to watershed dynamics, with multiple scenarios of data availability and input conditions.","The authors would like to thank the Brazilian Agencies CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Coordination for the Improvement of Higher Level Personnel) and CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico – National Council for Scientific and Technological Development) for its financial support during the research development, and the Department of Civil and Environmental Engineering in Colorado State University.",,Journal of Environmental Management,,,"Climate Change; Models, Theoretical; Rivers; Water Quality; Water Resources",2019-03-18,2019,2019-03-18,2019-06,239,,150-158,Closed,Article,"Ferreira, Danieli Mara; Fernandes, Cristovão Vicente Scapulatempo; Kaviski, Eloy; Fontane, Darrell","Ferreira, Danieli Mara (Graduate Program on Water Resources and Environmental Engineering, Federal University of Paraná, Curitiba, Brazil); Fernandes, Cristovão Vicente Scapulatempo (Graduate Program on Water Resources and Environmental Engineering, Federal University of Paraná, Curitiba, Brazil); Kaviski, Eloy (Graduate Program on Water Resources and Environmental Engineering, Federal University of Paraná, Curitiba, Brazil); Fontane, Darrell (Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, United States)","Ferreira, Danieli Mara (Federal University of Paraná)","Ferreira, Danieli Mara (Federal University of Paraná); Fernandes, Cristovão Vicente Scapulatempo (Federal University of Paraná); Kaviski, Eloy (Federal University of Paraná); Fontane, Darrell (Colorado State University)",15,6,0.64,2.59,,https://app.dimensions.ai/details/publication/pub.1112849657,37 Earth Sciences; 3707 Hydrology,15 Life on Land
4037,pub.1163192631,10.1007/s10661-023-11639-2,37561244,,"Sources and toxicological effects of metal and metalloids on human health through fish consumption in mineral-rich city, Ranchi, India","Ranchi is the administrative capital of Jharkhand and is located in the southern part of the Chhotanagpur Plateau. It is rich in forest and mineral resources and hence is suitable for the establishment of many large- and small-scale industries. The estimated population of Ranchi for the year 2023 is 3.54 million. These demographic characteristics make the capital more vulnerable to environmental degradation. Also, previous water quality research focused on river, water, and oceans separately; however, little or no work has been carried out on the comparison of metal or metalloid analysis in rivers, waterfalls, and lakes. Hence, the present study aims to assess the pollution status of mineral-rich and industrial hub city, Ranchi, through analysis of metals or metalloids in abiotic (water and sediment) and biotic (fish and human) components. The water, sediment, and fish (Labeo rohita and Catla catla) samples were collected from Subarnarekha river, Jumar river, Dassam fall, Getalsud dam, Hundru fall, Jonha fall, Kanke dam, and Sita fall. Samples were collected following standard methods and analyzed in inductively coupled plasma mass spectrometry (ICP-MS). Among three aquatic systems (rivers, dams, and falls), dams were highly polluted with metals or metalloids, which may be due to effluent discharge from different industries. Additionally, the high population in the city also contributed to metals or metalloids pollution. The reason may be the direct sewage disposal and agricultural and surface runoff in the water systems. It was observed that most of the aquatic systems in Ranchi were severely polluted with metals or metalloids. The fish also accumulated these metals or metalloids in their body and can be life-threatening to the human population consuming them. The THQ (above 1) and HI (2.95) values for As showed that children are more vulnerable to health risk through consumption of contaminated fish. Hence, proper planning and management are needed to overcome the metals or metalloids pollution in Ranchi.","The authors are highly indebted to the Amity University, Jharkhand (Employee I.D.: 309377) for offering assistance in conducting laboratory/field work to the author. The authors are also thankful to Mr. Babu Lal and Mr. Gobind Prasad Modi for providing help in the research work.",,Environmental Monitoring and Assessment,,,"Animals; Child; Humans; Metalloids; Water Pollutants, Chemical; Environmental Monitoring; Metals; Water Quality; Cyprinidae; Minerals; Rivers; Metals, Heavy; Risk Assessment",2023-08-10,2023,2023-08-10,2023-09,195,9,1032,Closed,Article,"Kumari, Preeti; Hansdah, Puja","Kumari, Preeti (Amity Institute of Applied Sciences, Amity University, 834002, Jharkhand, India; Department of Environmental Science and Engg., Indian Institute of Technology (ISM), 826004, Dhanbad, India); Hansdah, Puja (Department of Mining Engineering, Academy of Maritime Education and Training, 603112, Chennai, India; Department of Fuel, Minerals and Metallurgical Engineering, Indian Institute of Technology (ISM), 826004, Dhanbad, India)","Kumari, Preeti (Amity University; Indian Institute of Technology Dhanbad)","Kumari, Preeti (Amity University; Indian Institute of Technology Dhanbad); Hansdah, Puja (AMET University; Indian Institute of Technology Dhanbad)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1163192631,41 Environmental Sciences; 4105 Pollution and Contamination,
4037,pub.1085711009,10.1016/j.scitotenv.2017.05.013,28570976,,"Assessing climate change impacts on fresh water resources of the Athabasca River Basin, Canada","Proper management of blue and green water resources is important for the sustainability of ecosystems and for the socio-economic development of river basins such as the Athabasca River Basin (ARB) in Canada. For this reason, quantifying climate change impacts on these water resources at a finer temporal and spatial scale is often necessary. In this study, we used a Soil and Water Assessment Tool (SWAT) to assess climate change impacts on fresh water resources, focusing explicitly on the impacts to both blue and green water. We used future climate data generated by the Canadian Center for Climate Modelling and Analysis Regional Climate Model (CanRCM4) with a spatial resolution of 0.22°×0.22° (~25km) for two emission scenarios (RCP 4.5 and 8.5). Results projected the climate of the ARB to be wetter by 21-34% and warmer by 2-5.4°C on an annual time scale. Consequently, the annual average blue and green water flow was projected to increase by 16-54% and 11-34%, respectively, depending on the region, future period, and emission scenario. Furthermore, the annual average green water storage at the boreal region was expected to increase by 30%, while the storage was projected to remain fairly stable or decrease in other regions, especially during the summer season. On average, the fresh water resources in the ARB are likely to increase in the future. However, evidence of temporal and spatial heterogeneity could pose many future challenges to water resource planners and managers.",The authors would like to thank the Alberta Economic Development and Trade for the Campus Alberta Innovates Program Research Chair (No. RCP-12-001-BCAIP). We would also like to thank Mr. Jim Sellers for the proofreading.,,The Science of The Total Environment,,,,2017-05-30,2017,2017-05-30,2017-12,601,,425-440,Closed,Article,"Shrestha, Narayan Kumar; Du, Xinzhong; Wang, Junye","Shrestha, Narayan Kumar (Athabasca River Basin Research Institute (ARBRI), Athabasca University, 1 University Drive, Athabasca, Alberta T9S 3A3, Canada); Du, Xinzhong (Athabasca River Basin Research Institute (ARBRI), Athabasca University, 1 University Drive, Athabasca, Alberta T9S 3A3, Canada); Wang, Junye (Athabasca River Basin Research Institute (ARBRI), Athabasca University, 1 University Drive, Athabasca, Alberta T9S 3A3, Canada)","Wang, Junye (Athabasca University)","Shrestha, Narayan Kumar (Athabasca University); Du, Xinzhong (Athabasca University); Wang, Junye (Athabasca University)",121,42,1.99,15.06,,https://app.dimensions.ai/details/publication/pub.1085711009,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action
4037,pub.1153872587,10.1016/j.scitotenv.2022.161060,36565879,,A multi-agent decision-making framework for evaluating water and environmental resources management scenarios under climate change,"This paper introduces a hierarchical multi-agent decision-making framework for Water and Environmental Resources Management Scenarios (WERMSs) under uncertain conditions of climate change and complex agent characteristics. The proposed framework utilizes three Game Theory concepts: the Stackelberg, Bayesian (Incomplete), and Imperfect games, in order to incorporate the hierarchical structure of the agents and the temporal distribution and accuracy of information between them. The methodology is applied to the Zarrinehroud River Basin (ZRB), the largest hypersaline lake in the Middle East. The area of the lake has decreased dramatically (about 50 %) during past decades causing various environmental, social, and economic problems. WERMSs were evaluated using qualitative and quantitative hydrological, social, economic, and ecological criteria under different climate change scenarios. The proposed methodology provides equilibriums in the decision-making process while considering different climate change scenarios. Applying the selected WERM results in an accumulated value of 2995 million m3 of water flow to the lake until 2049. Moreover, the lake's elevation reaches a new level of 1272.6 m above sea level at the end of the following 30 years, compared to the elevation of 1271.3 at the beginning of the evaluation period.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,The Science of The Total Environment,,,,2022-12-21,2022,2022-12-21,2023-03,864,,161060,Closed,Article,"Motlaghzadeh, Kasra; Eyni, Ali; Behboudian, Massoud; Pourmoghim, Parastoo; Ashrafi, Saeed; Kerachian, Reza; W Hipel, Keith","Motlaghzadeh, Kasra (Department of System Design Engineering, University of Waterloo, Waterloo, Canada.); Eyni, Ali (Department of Earth & Planetary Sciences, Johns Hopkins University, Baltimore, USA.); Behboudian, Massoud (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.); Pourmoghim, Parastoo (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.); Ashrafi, Saeed (Department of Engineering Systems and Environment, University of Virginia, Charlottesville, Virginia, USA.); Kerachian, Reza (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: kerachian@ut.ac.ir.); W Hipel, Keith (Department of System Design Engineering, University of Waterloo, Waterloo, Canada; Centre for International Governance Innovation and Balsillie School of International Affairs, Waterloo, ON, Canada.)","Kerachian, Reza (University of Tehran)","Motlaghzadeh, Kasra (University of Waterloo); Eyni, Ali (Johns Hopkins University); Behboudian, Massoud (University of Tehran); Pourmoghim, Parastoo (University of Tehran); Ashrafi, Saeed (University of Virginia); Kerachian, Reza (University of Tehran); W Hipel, Keith (University of Waterloo; Centre for International Governance Innovation)",8,8,,4.27,,https://app.dimensions.ai/details/publication/pub.1153872587,37 Earth Sciences; 3707 Hydrology; 38 Economics; 41 Environmental Sciences,13 Climate Action
4035,pub.1166071542,10.1016/j.crsust.2023.100237,38089904,PMC10710954,"The role of landscape management practices to address natural resource degradation and human vulnerability in Awash River basin, Ethiopia","Landscape management practices (LMP) support addressing the vulnerability of small-scale producers (SSPs) through providing a means of sustaining and strengthening community livelihoods and building their resilience and the environment. However, addressing the vulnerability of SSPs through the implementation of LMP requires meaningful community engagement and assessing the benefits and costs from the perspective of local communities. This study was conducted in two watersheds, Maybar-Felana and Gelana, in the Awash River basin, Ethiopia. The study assessed the links between natural resource degradation and the vulnerability of SSPs, local communities' opinion on the benefits and costs of LMP and the implications of implementing LMP for addressing vulnerability. It gathered and analyzed data through key informant interviews (KII), focus group discussions (FGDs) and GIS and remote sensing techniques. Diverse LMP such as afforestation/reforestation, exclosures, terrace and bunds and crop- and soil-based soil amendments were adopted in the studied watersheds. These practices contributed to the improvement of natural resources such as forests and the services they provide. Over the last 21 years (2000-2021), forest cover increased by 11.5 and 42.5% in Maybar-Felana and Gelana watersheds, respectively, while shrublands increased by 41.1% in Maybar-Felana. In line with this, the SSPs identified multiple benefits of LMP including the restoration of degraded vegetation, reducing runoff and soil loss, improving access to water for multiple uses and increasing agricultural productivity. The adopted LMP contributed to reducing livelihood vulnerability through reducing incidents of weather extremes such as flood and drought, improving food and water security, enhancing resource availability, and building livelihood assets. The SSPs also identified multiple economic and social costs of LMP, suggesting that addressing the economic and social costs through balancing short-term economic losses with long-term environmental benefits of interventions is crucial to sustaining the LMP and the benefits they provide.",Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,Environmental Sustainability,,,,2023-01-01,2023,2023-01-01,2023,6,,100237,All OA; Gold,Article,"Mekuria, Wolde; Tadesse, Mulugeta; Admassu, Wondye; Asmame, Birhan; Tessema, Assefa; Abebe, Shawl; Shibiru, Eticha; Yirga, Mekonnen; Jorgi, Yemiamrew; Abdu, Fatuma; Belay, Befikadu; Seid, Jemal; Gobezie, Tsegaye; Ayene, Hailu; Bekele, Gashaw; Abdella, Mohamed; Seid, Abdulkarim; Haileslassie, Amare","Mekuria, Wolde (International Water Management Institute (IWMI), East Africa and Nile Basin Office, Addis Ababa, Ethiopia); Tadesse, Mulugeta (International Water Management Institute (IWMI), East Africa and Nile Basin Office, Addis Ababa, Ethiopia); Admassu, Wondye (Wollo University, Dessie, Ethiopia); Asmame, Birhan (Wollo University, Dessie, Ethiopia); Tessema, Assefa (Wollo University, Dessie, Ethiopia); Abebe, Shawl (Wollo University, Dessie, Ethiopia); Shibiru, Eticha (Wollo University, Dessie, Ethiopia); Yirga, Mekonnen (Wollo University, Dessie, Ethiopia); Jorgi, Yemiamrew (Wollo University, Dessie, Ethiopia); Abdu, Fatuma (Wollo University, Dessie, Ethiopia); Belay, Befikadu (Wollo University, Dessie, Ethiopia); Seid, Jemal (Wollo University, Dessie, Ethiopia); Gobezie, Tsegaye (Wollo University, Dessie, Ethiopia); Ayene, Hailu (Wollo University, Dessie, Ethiopia); Bekele, Gashaw (Wollo University, Dessie, Ethiopia); Abdella, Mohamed (International Water Management Institute (IWMI), East Africa and Nile Basin Office, Addis Ababa, Ethiopia); Seid, Abdulkarim (International Water Management Institute (IWMI), East Africa and Nile Basin Office, Addis Ababa, Ethiopia); Haileslassie, Amare (International Water Management Institute (IWMI), East Africa and Nile Basin Office, Addis Ababa, Ethiopia)","Mekuria, Wolde (International Water Management Institute)","Mekuria, Wolde (International Water Management Institute); Tadesse, Mulugeta (International Water Management Institute); Admassu, Wondye (Wollo University); Asmame, Birhan (Wollo University); Tessema, Assefa (Wollo University); Abebe, Shawl (Wollo University); Shibiru, Eticha (Wollo University); Yirga, Mekonnen (Wollo University); Jorgi, Yemiamrew (Wollo University); Abdu, Fatuma (Wollo University); Belay, Befikadu (Wollo University); Seid, Jemal (Wollo University); Gobezie, Tsegaye (Wollo University); Ayene, Hailu (Wollo University); Bekele, Gashaw (Wollo University); Abdella, Mohamed (International Water Management Institute); Seid, Abdulkarim (International Water Management Institute); Haileslassie, Amare (International Water Management Institute)",1,1,,,https://doi.org/10.1016/j.crsust.2023.100237,https://app.dimensions.ai/details/publication/pub.1166071542,41 Environmental Sciences; 4102 Ecological Applications,15 Life on Land
4035,pub.1153493619,10.1007/s10661-022-10786-2,36482108,,"Predicting phosphorus and nitrate loads by using SWAT model in Vamanapuram River Basin, Kerala, India","Evaluations of probable environmental impacts of point and diffuse source pollution at regional sizes are essential to achieve sustainable development of natural resources such as land and water. This research focused on how nitrate and phosphorus load varied over time and space in the Vamanapuram River Basin (VRB). Phosphorus and nitrate loads have been evaluated in the VRB using the semi-distributed Soil and Water Assessment Tool (SWAT) hydrological model. SWAT Calibration and Uncertainty Programs (SWAT-CUP) have simulated the developed model using the Sequential Uncertainty Fitting, version 2(SUFI-2). The developed model was simulated for 2001 to 2008, and it was split into two-phase calibration and validation phases. Model performance was evaluated by the percentage of bias (PBAIS) and Nash–Sutcliffe efficiency coefficient (NSE). The simulated performance of nitrate was indicated as NSE = 0.22–0.59 and PBIAS = 51.86–65.88. The simulated performance of phosphorus showed NSE = 0.06–0.33 and PBIAS = 15.14–33.97. Total Phosphorus load was most sensitive to the organic Phosphorus enrichment ratio (ERORGP) and CH_N2 for streamflow simulation. This study concluded that the South-western region was a high potential for nutrient loads. This study will explain the nutrient load and guidelines for land management practice in the study area.",,,Environmental Monitoring and Assessment,,,Nitrates; Phosphorus; Soil; Water; Environmental Monitoring,2022-12-09,2022,2022-12-09,2023-01,195,1,186,Closed,Article,"Saravanan, Subbarayan; Singh, Leelambar; Sathiyamurthi, Subbarayan; Sivakumar, Vivek; Velusamy, Sampathkumar; Shanmugamoorthy, Manoj","Saravanan, Subbarayan (Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, India); Singh, Leelambar (Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, India); Sathiyamurthi, Subbarayan (Department of Soil Science and Agricultural Chemistry, Faculty of Agriculture, Annamalai University, Annamalainagar, Tamil Nadu, India); Sivakumar, Vivek (Department of Civil Engineering, Hindusthan College of Engineering and Technology, Coimbatore, India); Velusamy, Sampathkumar (Department of Civil Engineering, Kongu Engineering College, Erode, India); Shanmugamoorthy, Manoj (Department of Civil Engineering, Kongu Engineering College, Erode, India)","Sathiyamurthi, Subbarayan (Annamalai University)","Saravanan, Subbarayan (National Institute of Technology Tiruchirappalli); Singh, Leelambar (National Institute of Technology Tiruchirappalli); Sathiyamurthi, Subbarayan (Annamalai University); Sivakumar, Vivek (Anna University, Chennai); Velusamy, Sampathkumar (Anna University, Chennai); Shanmugamoorthy, Manoj (Anna University, Chennai)",10,10,,6.87,,https://app.dimensions.ai/details/publication/pub.1153493619,"30 Agricultural, Veterinary and Food Sciences; 3002 Agriculture, Land and Farm Management; 37 Earth Sciences",15 Life on Land
4033,pub.1110509259,10.1016/j.scitotenv.2018.12.102,30677872,,"Stable isotope evidence for identifying the recharge mechanisms of precipitation, surface water, and groundwater in the Ebinur Lake basin","Arid areas cover more than one third of global land, and as such, water resources are vital for this fragile ecosystem. In order to reveal the recharge mechanisms among different water bodies in arid areas, precipitation, surface water, and groundwater were sampled in the Ebinur Lake basin, Xinjiang, China, and the isotopic values for hydrogen and oxygen were measured. The stable isotope values of precipitation showed significant seasonal variation, with minimum values in the winter, medium values in the spring and autumn, and maximum values in the summer. The slope and intercept of local meteoric water line were both lower than that of global meteoric water line, indicating subcloud evaporation effect. The vapor source of precipitation was dominated by the westerlies, but the regional re-evaporation vapor accounted for some proportions as well. In the Bortala River and Jinghe River, the stable isotopic values varied spatially, tending to be enriched with the river flow. The stable isotopic values for lake water were significantly higher than those of river water, which reflected a stronger evaporation and concentration effect of the lake water. The stable isotopic values of groundwater featured similar spatial variation compared to the river, and phreatic water evaporated to some extent. In the Bortala River, owing to its specific hydrogeological structure, the exchange rates between the groundwater and the river water were higher upstream than in the middle and lower reaches. In the Jinghe River, the deep groundwater aquifer received recharge from the shallow groundwater layers and from the river. At the edge of the Ebinur Lake, the interaction of groundwater and surface water was low and springs became the important recharge source for the lake. The results of this study provide insights into the determination of river hydrological processes and the management of water resources.","The authors are very grateful for the helpful comments and valuable suggestions by the editor and reviewers, which helped improve this manuscript. This research was supported by the Tianshan Scholar Project (No. 3010010161) and the National Natural Science Foundation of China (No. 41561104 and No. U180320005).",,The Science of The Total Environment,,,,2018-12-10,2018,2018-12-10,2019-03,657,,1041-1050,Closed,Article,"Hao, Shuai; Li, Fadong; Li, Yanhong; Gu, Congke; Zhang, Qiuying; Qiao, Yunfeng; Jiao, Li; Zhu, Nong","Hao, Shuai (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China.); Li, Fadong (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China. Electronic address: lifadong@igsnrr.ac.cn.); Li, Yanhong (Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China.); Gu, Congke (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.); Zhang, Qiuying (Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China; Chinese Research Academy of Environmental Sciences, Beijing 100012, China.); Qiao, Yunfeng (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China.); Jiao, Li (Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China.); Zhu, Nong (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.)","Li, Fadong (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences; Xinjiang Normal University; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China. Electronic address: lifadong@igsnrr.ac.cn.)","Hao, Shuai (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences; Xinjiang Normal University; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China.); Li, Fadong (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences; Xinjiang Normal University; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China. Electronic address: lifadong@igsnrr.ac.cn.); Li, Yanhong (Xinjiang Normal University; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China.); Gu, Congke (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences); Zhang, Qiuying (Xinjiang Normal University; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China; Chinese Research Academy of Environmental Sciences, Beijing 100012, China.; Chinese Research Academy of Environmental Sciences); Qiao, Yunfeng (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences); Jiao, Li (Xinjiang Normal University; Xinjiang Normal University, Urumqi 830054, China; Xinjiang Arid Area Lake Environment and Resources Laboratory, Key Laboratory of Xinjiang Uygur Autonomous Region, Urumqi 830054, China.); Zhu, Nong (Institute of Geographic Sciences and Natural Resources Research)",70,40,1.15,12.08,,https://app.dimensions.ai/details/publication/pub.1110509259,37 Earth Sciences; 3705 Geology; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,
4029,pub.1155995888,10.3390/ijerph20054636,36901649,PMC10002097,Combining Deep Learning and Hydrological Analysis for Identifying Check Dam Systems from Remote Sensing Images and DEMs in the Yellow River Basin,"Identifying and extracting check dams is of great significance for soil and water conservation, agricultural management, and ecological assessment. In the Yellow River Basin, the check dam, as a system, generally comprises dam locations and dam-controlled areas. Previous research, however, has focused on dam-controlled areas and has not yet identified all elements of check dam systems. This paper presents a method for automatically identifying check dam systems from digital elevation model (DEM) and remote sensing images. We integrated deep learning and object-based image analysis (OBIA) methods to extract the dam-controlled area's boundaries, and then extracted the location of the check dam using the hydrological analysis method. A case study in the Jiuyuangou watershed shows that the precision and recall of the proposed dam-controlled area extraction approach are 98.56% and 82.40%, respectively, and the F1 score value is 89.76%. The completeness of the extracted dam locations is 94.51%, and the correctness is 80.77%. The results show that the proposed method performs well in identifying check dam systems and can provide important basic data for the analysis of spatial layout optimization and soil and water loss assessment.",Many thanks are given to Sijin Li and Wangda Lu for their assistance with the experiments and valuable discussion.,"We are grateful for the financial support provided by the National Natural Science Foundation of China (No. 42130405 and 42171402), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 22KJB170016) and the Foundation of Anhui Province Key Laboratory of Physical Geographic Environment (No. 2022PGE013).",International Journal of Environmental Research and Public Health,,,Rivers; Remote Sensing Technology; Deep Learning; Soil; Conservation of Water Resources,2023-03-06,2023,2023-03-06,,20,5,4636,All OA; Gold,Article,"Li, Mengqi; Dai, Wen; Fan, Mengtian; Qian, Wei; Yang, Xin; Tao, Yu; Zhao, Chengyi","Li, Mengqi (School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China); Dai, Wen (School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China); Fan, Mengtian (School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China); Qian, Wei (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 211800, China); Yang, Xin (School of Geography, Nanjing Normal University, Nanjing 210023, China); Tao, Yu (School of Geographical Information and Tourism, Chuzhou University, Chuzhou 239000, China); Zhao, Chengyi (School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China)","Dai, Wen (Nanjing University of Information Science and Technology)","Li, Mengqi (Nanjing University of Information Science and Technology); Dai, Wen (Nanjing University of Information Science and Technology); Fan, Mengtian (Nanjing University of Information Science and Technology); Qian, Wei (Nanjing University of Information Science and Technology); Yang, Xin (Nanjing Normal University); Tao, Yu (Chuzhou University); Zhao, Chengyi (Nanjing University of Information Science and Technology)",3,3,,,https://www.mdpi.com/1660-4601/20/5/4636/pdf?version=1678093946,https://app.dimensions.ai/details/publication/pub.1155995888,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology,
4028,pub.1023200059,10.1016/j.jenvman.2014.01.018,24530794,,The use of replacement cost method to assess and manage the impacts of water resource development on Australian indigenous customary economies,"The value of functional and biologically diverse landscapes to indigenous societies is increasingly recognised in public debates about development pathways but rarely rigorously assessed in development decisions. Using the replacement cost method, we quantify the direct consumptive value of aquatic species and sites for indigenous subsistence in three Australian tropical river catchments where negligible data exists on indigenous water values and the extensive use of wild resources for food, art, craft and medicines. The results establish a baseline for assessing and monitoring the socio-economic impact of hydrological and ecological changes from water resource development. More than 90% of the gross replacement value in each catchment was accounted for by a small subset of high value species which could be used as integrated indicators of ecological and socio-economic change. The total value of species harvested was distributed across a large number of sites, justifying the need for a regional management approach to ensure the maintenance of diverse habitats for hunting and fishing. While 'value' is a cultural, context-dependent construct, studies like this one can lend legitimacy to a targeted approach to environmental and social impact assessment of water resource development proposals by calling for prioritisation of mitigation and management actions.","AcknowledgementsThe paper is based on research conducted under the Tropical Rivers and Coastal Knowledge Research Hub (TRaCK). TRaCK receives major funding for its research through the Australian Government&#x27;s Commonwealth Environment Research Facilities initiative; the Australian Government&#x27;s Raising National Water Standards Program; Land and Water Australia; the Fisheries Research and Development Corporation and the Queensland Government&#x27;s Smart State Innovation Fund.The authors would also like to acknowledge the contributions of traditional owners in the Daly River, Fitzroy River and Mitchell River regions and their representative organisations, the Northern Land Council, the Kimberley Land Council and the Kowanyama Aboriginal Land and Natural Resource Management Office. Constructive input to various aspects of the research was provided by Jon Altman, Michael Douglas, Brad Pusey, Mark Kennard, Natalie Stoeckl, Emma Woodward, Alan Andersen, Marcus Barber, Tony Griffiths, Sandy Toussaint, Viv Sinnamon, and Geoff Buchanan. We would particularly like to thank Michael Douglas and Vanessa Adams for their helpful comments on an earlier draft of the manuscript and the reviewers. Any errors and omissions are the responsibility of the authors.",,Journal of Environmental Management,,,Australia; Ecology; Ecosystem; Environment; Environmental Monitoring; Marine Biology; Rivers; Water; Water Resources,2014-02-14,2014,2014-02-14,2014-03,135,,100-109,Closed,Article,"Jackson, Sue; Finn, Marcus; Scheepers, Kelly","Jackson, Sue (Australian Rivers Institute, Griffith University, Nathan, Queensland 4111, Australia); Finn, Marcus (Environmental Consultant, Farrer, ACT 2607, Australia); Scheepers, Kelly (CSIRO Ecosystem Sciences, PMB 44, Winnellie, NT 0822, Australia)","Jackson, Sue (Griffith University)","Jackson, Sue (Griffith University); Finn, Marcus (Environmental Consultant, Farrer, ACT 2607, Australia); Scheepers, Kelly (Ecosystem Sciences)",59,18,0.23,7.24,,https://app.dimensions.ai/details/publication/pub.1023200059,41 Environmental Sciences; 4104 Environmental Management,
4025,pub.1029406332,10.1016/j.scitotenv.2016.07.102,27450256,,Hydroclimatic and water quality trends across three Mediterranean river basins,"Water resources are under pressure from multiple anthropogenic stressors such as changing climate, agriculture and water abstraction. This holds, in particular, for the Mediterranean region, where substantial changes in climate are expected throughout the 21st century. Nonetheless, little attention has been paid to linkages between long-term trends in climate, streamflow and water quality in Mediterranean river basins. In the present study, we perform a comparative analysis of recent trends in hydroclimatic parameters and nitrate pollution in three climatologically different Mediterranean watersheds (i.e., the Adige, Ebro and Sava River Basins). Mann-Kendall trend analyses of annual mean temperature, precipitation and streamflow (period 1971 to 2010) and monthly nitrate concentrations, mass fluxes and flow-adjusted concentrations (period 1996 to 2012) were performed in these river basins. Temperature is shown to have increased the most in the Ebro followed by the Sava, whereas minor increases are observed in the Adige. Precipitation presents, overall, a negative trend in the Ebro and a positive trend in both the Adige and Sava. These climatic trends thus suggest the highest risk of increasing water scarcity for the Ebro and the lowest risk for the Adige. This is confirmed by trend analyses of streamflow time series, which indicate a severe decline in streamflow for the Ebro and a substantial decline in the Sava, as opposed to the Adige showing no prevailing trend. Concerning surface water quality, nitrate pollution appears to have decreased in all study basins. Overall, these findings emphasize progressive reduction of water resources availability in river basins characterized by continental climate (i.e., Ebro and Sava). This study thus underlines the need for adapted river management in the Mediterranean region, particularly considering strong feedbacks between hydroclimatic trends, freshwater ecosystem services and water resources availability for agriculture, water supply and hydropower generation.","This research has been financially supported by the European Union under the Seventh Framework Programme (Grant agreement no. 603629-ENV-2013-6.2.1-Globaqua). We thank the reviewers for their thorough comments. We also thank the Spanish Meteorological Agency (AEMET) and University of Cantabria (UC) for the data provided for this work (Spain02 dataset, http://www.meteo.unican.es/datasets/spain02). We acknowledge the E-OBS dataset from the EU-FP6 project ENSEMBLES (http://ensembles-eu.metoffice.com) and the data providers in the ECAD project (http://www.ecad.eu). We would also like to acknowledge the Confederación Hidrográfica del Ebro (CHE) (http://www.chebro.es/), the International Commission for the Protection of the Danube River (ICPDR; https://www.icpdr.org), the Environmental Agency of the Republic of Slovenia (www.arso.gov.si), the Croatian water agency Hrvatske vode (www.voda.hr), and the Republic Hydrometeorological Service of Serbia (www.hidmet.gov.rs) for providing data for this study. We also thank the Environmental Protection Agencies and Hydrological and Meteorological Offices of the Autonomous Provinces of Trento and Bolzano for data provision in the Adige. The digital elevation model used in this study was produced using Copernicus data and information funded by the European Union (EU-DEM layers).",,The Science of The Total Environment,,,"Climate; Environmental Monitoring; Europe; Hydrology; Nitrates; Rivers; Water Pollutants, Chemical; Water Quality",2016-07-19,2016,2016-07-19,2016-11,571,,1392-1406,All OA; Hybrid,Article,"Lutz, Stefanie R.; Mallucci, Stefano; Diamantini, Elena; Majone, Bruno; Bellin, Alberto; Merz, Ralf","Lutz, Stefanie R. (UFZ Helmholtz Centre for Environmental Research, Department Catchment Hydrology, Theodor-Lieser-Str. 4, 06120 Halle (Saale), Germany); Mallucci, Stefano (University of Trento, Department of Civil, Environmental and Mechanical Engineering, Via Mesiano 77, 38123 Trento, Italy); Diamantini, Elena (University of Trento, Department of Civil, Environmental and Mechanical Engineering, Via Mesiano 77, 38123 Trento, Italy); Majone, Bruno (University of Trento, Department of Civil, Environmental and Mechanical Engineering, Via Mesiano 77, 38123 Trento, Italy); Bellin, Alberto (University of Trento, Department of Civil, Environmental and Mechanical Engineering, Via Mesiano 77, 38123 Trento, Italy); Merz, Ralf (UFZ Helmholtz Centre for Environmental Research, Department Catchment Hydrology, Theodor-Lieser-Str. 4, 06120 Halle (Saale), Germany)","Lutz, Stefanie R. (Helmholtz Centre for Environmental Research)","Lutz, Stefanie R. (Helmholtz Centre for Environmental Research); Mallucci, Stefano (University of Trento); Diamantini, Elena (University of Trento); Majone, Bruno (University of Trento); Bellin, Alberto (University of Trento); Merz, Ralf (Helmholtz Centre for Environmental Research)",72,20,1.14,8.69,https://doi.org/10.1016/j.scitotenv.2016.07.102,https://app.dimensions.ai/details/publication/pub.1029406332,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,6 Clean Water and Sanitation; 7 Affordable and Clean Energy
4023,pub.1160271656,10.1016/j.heliyon.2023.e17689,37456046,PMC10344711,"Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia","Accurate water level prediction for both lake and river is essential for flood warning and freshwater resource management. In this study, three machine learning algorithms: multi-layer perceptron neural network (MLP-NN), long short-term memory neural network (LSTM) and extreme gradient boosting XGBoost were applied to develop water level forecasting models in Muda River, Malaysia. The models were developed using limited amount of daily water level and meteorological data from 2016 to 2018. Different input scenarios were tested to investigate the performance of the models. The results of the evaluation showed that the MLP model outperformed both the LSTM and the XGBoost models in predicting water levels, with an overall accuracy score of 0.871 compared to 0.865 for LSTM and 0.831 for XGBoost. No noticeable improvement has been achieved after incorporating meteorological data into the models. Even though the lowest reported performance was reported by the XGBoost, it is the faster of the three algorithms due to its advanced parallel processing capabilities and distributed computing architecture. In terms of different time horizons, the LSTM model was found to be more accurate than the MLP and XGBoost model when predicting 7 days ahead, demonstrating its superiority in capturing long-term dependencies. Therefore, it can be concluded that each ML model has its own merits and weaknesses, and the performance of different ML models differs on each case because these models depends largely on the quantity and quality of data available for the model training.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This research was supported by the Ministry of Education (MOE) through Fundamental Research Grant Scheme (FRGS/1/2020/TK0/UNITEN/02/16). The authors would like to acknowledge their access to data from the Department of Irrigation and Drainage Malaysia (JPS) and the Malaysia Meteorological Department (MetMalaysia).,Not applicable.,Heliyon,,,,2023-06-29,2023,2023-06-29,2023-07,9,7,e17689,All OA; Gold,Article,"Zakaria, Muhamad Nur Adli; Ahmed, Ali Najah; Malek, Marlinda Abdul; Birima, Ahmed H.; Khan, Munir Hayet; Sherif, Mohsen; Elshafie, Ahmed","Zakaria, Muhamad Nur Adli (Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), 43000, Kajang, Selangor, Malaysia); Ahmed, Ali Najah (Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), 43000, Kajang, Selangor, Malaysia; Institute of Energy Infrastructure (IEI) , Universiti Tenaga Nasional (UNITEN), 43000, Selangor, Malaysia); Malek, Marlinda Abdul (Cataclysmic Management and Sustainable Development Research Group (CAMSDE), Department of Civil Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Malaysia); Birima, Ahmed H. (Department of Civil Engineering, College of Engineering, Qassim University, Unaizah, Saudi Arabia); Khan, Munir Hayet (Faculty of Engineering & Quantity Surveying, INTI International University (INTI-IU), Persiaran Perdana BBN, Putra Nilai, Nilai, 71800, Negeri Sembilan, Malaysia); Sherif, Mohsen (Civil and Environmental Eng. Dept., College of Engineering, United Arab Emirates University, Al Ain, 15551, United Arab Emirates; National Water and Energy Center, United Arab Emirates University, P.O. Box. 15551, Al Ain, United Arab Emirates); Elshafie, Ahmed (Department of Civil Engineering, Faculty of Engineering, University of Malaya (UM), 50603, Kuala Lumpur, Malaysia)","Ahmed, Ali Najah (Universiti Tenaga Nasional; Universiti Tenaga Nasional)","Zakaria, Muhamad Nur Adli (Universiti Tenaga Nasional); Ahmed, Ali Najah (Universiti Tenaga Nasional; Universiti Tenaga Nasional); Malek, Marlinda Abdul (International Islamic University Malaysia); Birima, Ahmed H. (Qassim University); Khan, Munir Hayet (INTI International University); Sherif, Mohsen (United Arab Emirates University; United Arab Emirates University); Elshafie, Ahmed (University of Malaya)",4,4,,,http://www.cell.com/article/S2405844023048971/pdf,https://app.dimensions.ai/details/publication/pub.1160271656,37 Earth Sciences; 46 Information and Computing Sciences; 4611 Machine Learning,
4020,pub.1146907755,10.7717/peerj.13223,35402102,PMC8992644,Geochemical characteristics of strontium isotopes in a coastal watershed: implications for anthropogenic influenced chemical weathering and export flux,"Coastal watershed are essential in transporting dissolved loads from terrestrial biogeochemical process of surface environment to the adjacent oceans. The solute chemistry of coastal river water contains significant information about environmental processes under the impact of both natural lithology and anthropogenic pressure. In this study, strontium (Sr) isotopes and water chemistry data of the Jiulongjiang (JLJ) river water were analyzed in detail to trace the contribution of bedrock weathering, and quantify Sr flux to the East China Sea (ECS). The dissolved Sr contents ranged 0.07-0.90 μmol L-1 and greatly fluctuated where tributaries encountered, and 87Sr/86Sr values relatively fluctuated between 0.7140 and 0.7514. Silicate weathering was identified to be the predominant contribution of riverine dissolved loads. Strontium flux to the ocean in dry season was estimated to be 689.2 tons per year, implying an essential influence on oceanic strontium evolution. In accordance with forward model, the silicate weathering rate and CO2 consumption rate were 55.7 tons km-2 per year and 16.9 × 105 mol km-2 per year, respectively, slightly higher than world average. Considering anthropogenic impacts alongside the river, the integrated effect of lower runoff and longer retention time of river water in dry season may aggravate weathering processes. Although CO2 sink by silicate weathering in JLJ seems less than the sink in world's central reservoirs, it should still be taken into consideration for coastal carbon budget. These findings highlight the use of geochemical characteristics of strontium and its isotopes in identifying weathering process and output flux to the ocean, which provides basic data for sustainable coastal water resource management.","The authors thank Mr. Man Liu, Xiaoqiang Li and Ms. Kunhua Yang from the China University of Geosciences (Beijing) for the assistance with field sampling.","This work was supported by the National Natural Science Foundation of China (No. 41661144029 and 41325010). This work was also founded by the 2021 Graduate Innovation Fund Project of China University of Geosciences, Beijing (No. YB2021YC018). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PeerJ,,,Strontium Isotopes; Carbon Dioxide; Environmental Monitoring; Strontium; Isotopes; Water; Silicates,2022-04-05,2022,2022-04-05,,10,,e13223,All OA; Gold,Article,"Zhang, Shitong; Han, Guilin; Zeng, Jie","Zhang, Shitong (Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, China); Han, Guilin (Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, China); Zeng, Jie (Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, China)","Han, Guilin (China University of Geosciences)","Zhang, Shitong (China University of Geosciences); Han, Guilin (China University of Geosciences); Zeng, Jie (China University of Geosciences)",1,1,,0.47,https://doi.org/10.7717/peerj.13223,https://app.dimensions.ai/details/publication/pub.1146907755,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,14 Life Below Water
4019,pub.1006632628,10.1002/ieam.1660,25953621,,Integrated frameworks for assessing and managing health risks in the context of managed aquifer recharge with river water,"Integrated assessment and management of water resources for the supply of potable water is increasingly important in light of projected water scarcity in many parts of the world. This article develops frameworks for regional-level waterborne human health risk assessment of chemical and microbiological contamination to aid water management, incorporating economic aspects of health risks. Managed aquifer recharge with surface water from a river in Southern Finland is used as an illustrative case. With a starting point in watershed governance, stakeholder concerns, and value-at-risk concepts, we merge common methods for integrative health risk analysis of contaminants to describe risks and impacts dynamically and broadly. This involves structuring analyses along the risk chain: sources-releases-environmental transport and fate-exposures-health effects-socio-economic impacts-management responses. Risks attributed to contaminants are embedded in other risks, such as contaminants from other sources, and related to benefits from improved water quality. A set of models along this risk chain in the case is presented. Fundamental issues in the assessment are identified, including 1) framing of risks, scenarios, and choices; 2) interaction of models and empirical information; 3) time dimension; 4) distributions of risks and benefits; and 5) uncertainties about risks and controls. We find that all these combine objective and subjective aspects, and involve value judgments and policy choices. We conclude with proposals for overcoming conceptual and functional divides and lock-ins to improve modeling, assessment, and management of complex water supply schemes, especially by reflective solution-oriented interdisciplinary and multi-actor deliberation.","Acknowledgment Funding for this work has been received from Academy of Finland on the CONPAT project (Pathways, risks and management of aquatic contaminants) of the AKVA program. The work is also based indirectly on other projects, including the NoMiracle project of the 6th Framework Programme for R&amp;D of the European Union, and the Finnish Fulbright Center on a grant to the lead author to Tufts University. Valuable comments on a draft have been provided by Dr. I. Miettinen and Dr. J. Tuomisto in THL, and A. Artimo, S. Saraperä, and O. Puurunen in Turku Region Water Company who have kindly provided map materials. The authors are solely responsible for the views presented.",,Integrated Environmental Assessment and Management,,,"Conservation of Natural Resources; Environmental Monitoring; Environmental Pollution; Finland; Groundwater; Humans; Models, Theoretical; Risk Assessment; Rivers; Water Purification; Water Supply",2015-08-19,2015,2015-08-19,2016-01,12,1,160-173,All OA; Green,Article,"Assmuth, Timo; Simola, Antti; Pitkänen, Tarja; Lyytimäki, Jari; Huttula, Timo","Assmuth, Timo (Finnish Environment Institute (SYKE), Environmental Policy Centre, Helsinki, Finland.; University of Helsinki, Helsinki, Finland.); Simola, Antti (Government Institute for Economic Research (VATT), Helsinki, Finland.); Pitkänen, Tarja (Finnish National Institute for Health and Welfare (THL), Water and Health Unit, Kuopio, Finland.); Lyytimäki, Jari (Finnish Environment Institute (SYKE), Environmental Policy Centre, Helsinki, Finland.); Huttula, Timo (Finnish Environment Institute (SYKE), Freshwater Centre, Jyväskylä, Finland.)","Assmuth, Timo (Finnish Environment Institute; University of Helsinki)","Assmuth, Timo (Finnish Environment Institute; University of Helsinki); Simola, Antti (VATT Institute for Economic Research); Pitkänen, Tarja (Finnish National Institute for Health and Welfare (THL), Water and Health Unit, Kuopio, Finland.); Lyytimäki, Jari (Finnish Environment Institute); Huttula, Timo (Finnish Environment Institute)",13,2,0.6,1.55,https://helda.helsinki.fi/bitstream/10138/342126/1/Assmuth%20et%20al.%202016%20Integrated%20frameworks%20for%20assessing%20and%20managing%20health%20risks%20in%20the%20context%20of%20managed%20aquifer%20recharge%20with%20river%20water%20%28AAM%29.pdf,https://app.dimensions.ai/details/publication/pub.1006632628,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
4018,pub.1147246596,10.1007/s10712-022-09700-9,35462853,PMC9019293,Water Resources in Africa under Global Change: Monitoring Surface Waters from Space,"The African continent hosts some of the largest freshwater systems worldwide, characterized by a large distribution and variability of surface waters that play a key role in the water, energy and carbon cycles and are of major importance to the global climate and water resources. Freshwater availability in Africa has now become of major concern under the combined effect of climate change, environmental alterations and anthropogenic pressure. However, the hydrology of the African river basins remains one of the least studied worldwide and a better monitoring and understanding of the hydrological processes across the continent become fundamental. Earth Observation, that offers a cost-effective means for monitoring the terrestrial water cycle, plays a major role in supporting surface hydrology investigations. Remote sensing advances are therefore a game changer to develop comprehensive observing systems to monitor Africa’s land water and manage its water resources. Here, we review the achievements of more than three decades of advances using remote sensing to study surface waters in Africa, highlighting the current benefits and difficulties. We show how the availability of a large number of sensors and observations, coupled with models, offers new possibilities to monitor a continent with scarce gauged stations. In the context of upcoming satellite missions dedicated to surface hydrology, such as the Surface Water and Ocean Topography (SWOT), we discuss future opportunities and how the use of remote sensing could benefit scientific and societal applications, such as water resource management, flood risk prevention and environment monitoring under current global change.Article HighlightsThe hydrology of African surface water is of global importance, yet it remains poorly monitored and understoodComprehensive review of remote sensing and modeling advances to monitor Africa’s surface water and water resourcesFuture opportunities with upcoming satellite missions and to translate scientific advances into societal applications","This work is partially funded by the Centre National d’Etude Spatiale (CNES) through the TOSCA project “DYnamique hydrologique du BAssin du CoNGO (DYBANGO)” (2020–2023). BK is supported by a PhD grant from the CNES, Agence Française du Développement (AFD) and Institut de Recherche pour le Développement (IRD). FP, AP, SC, BK and RT are supported by the IRD Groupement De Recherche International SCaHyLab. The work on African Lakes by JFC, PGG and BC is supported by the European Space Agency (ESA) through project Lakes of the Climate Change Initiative program. Funding for MT, AC and RT was provided by the Royal Society-DFID Africa Capacity Building Initiative (grants AQ150005, FLR\R1\192057, FCG\R1\201027). This work was supported by the French Centre National d’Etudes Spatiales (CNES) through the TELESSAO project and the SPLASH (APR TOSCA). ER, MG and MdF would like to thanks Laurent Kergoat (GET) for helpful discussion on remote sensing of small waterbodies in West Africa, Hediwge Nikiema (University Joseph Ki-zerbo, Burkina Faso) for help with the in situ SPM measurements in the Bagré Lake (Burkina Faso) and Santiago Pena Luqe (CNES) for help with the ALCD algorithm. We thank the International Space Science Institute (ISSI, Switzerland) for organizing the workshop “Global Change in Africa: Role of Space Observations” and for coordinating the publication of this special issue. We thank the two anonymous reviewers for they constructive comments and the assessment of our work",,Surveys in Geophysics,,,,2022-04-20,2022,2022-04-20,2023-02,44,1,43-93,All OA; Hybrid,Article,"Papa, Fabrice; Crétaux, Jean-François; Grippa, Manuela; Robert, Elodie; Trigg, Mark; Tshimanga, Raphael M.; Kitambo, Benjamin; Paris, Adrien; Carr, Andrew; Fleischmann, Ayan Santos; de Fleury, Mathilde; Gbetkom, Paul Gerard; Calmettes, Beatriz; Calmant, Stephane","Papa, Fabrice (LEGOS, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France; Institute of Geosciences, Universidade de Brasília (UnB), 70910-900, Brasília, Brazil); Crétaux, Jean-François (LEGOS, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France); Grippa, Manuela (GET, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France); Robert, Elodie (LETG, CNRS, Université de Nantes, 44312, Nantes, France); Trigg, Mark (School of Civil Engineering, University of Leeds, LS2 9DY, Leeds, United Kingdom); Tshimanga, Raphael M. (Congo Basin Water Resources Research Center (CRREBaC) and Department of Natural Resources Management, University of Kinshasa (UNIKIN), Kinshasa, Democratic Republic of the Congo); Kitambo, Benjamin (LEGOS, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France; Congo Basin Water Resources Research Center (CRREBaC) and Department of Natural Resources Management, University of Kinshasa (UNIKIN), Kinshasa, Democratic Republic of the Congo; Department of Geology, University of Lubumbashi (UNILU), Route Kasapa, Lubumbashi, Democratic Republic of the Congo); Paris, Adrien (LEGOS, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France; Hydro Matters, 31460, Le Faget, France); Carr, Andrew (School of Civil Engineering, University of Leeds, LS2 9DY, Leeds, United Kingdom); Fleischmann, Ayan Santos (Hydraulic Research Institute (IPH), Federal University of Rio Grande do Sul (UFRGS), 91501-970, Porto Alegre, Brazil; Instituto de Desenvolvimento Sustentável Mamirauá, 69553-225, Tefé, AM, Brazil); de Fleury, Mathilde (GET, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France); Gbetkom, Paul Gerard (LEGOS, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France); Calmettes, Beatriz (Collecte Localisation Satellites (CLS), 31520, Ramonville Saint-Agne, France); Calmant, Stephane (LEGOS, Université de Toulouse, IRD, CNES, CNRS, UPS, 31400, Toulouse, France; Institute de Recherche pour le Développement (IRD), Cayenne IRD Center, 97323, French Guiana, France)","Papa, Fabrice (Laboratoire d’Études en Géophysique et Océanographie Spatiales; University of Brasília)","Papa, Fabrice (Laboratoire d’Études en Géophysique et Océanographie Spatiales; University of Brasília); Crétaux, Jean-François (Laboratoire d’Études en Géophysique et Océanographie Spatiales); Grippa, Manuela (Géosciences Environnement Toulouse); Robert, Elodie (Littoral - Environnement - Télédétection - Géomatique); Trigg, Mark (University of Leeds); Tshimanga, Raphael M. (University of Kinshasa); Kitambo, Benjamin (Laboratoire d’Études en Géophysique et Océanographie Spatiales; University of Kinshasa; University of Lubumbashi); Paris, Adrien (Laboratoire d’Études en Géophysique et Océanographie Spatiales; Hydro Matters, 31460, Le Faget, France); Carr, Andrew (University of Leeds); Fleischmann, Ayan Santos (Federal University of Rio Grande do Sul; Instituto de Desenvolvimento Sustentável Mamirauá); de Fleury, Mathilde (Géosciences Environnement Toulouse); Gbetkom, Paul Gerard (Laboratoire d’Études en Géophysique et Océanographie Spatiales); Calmettes, Beatriz (Collecte Localisation Satellites (France)); Calmant, Stephane (Laboratoire d’Études en Géophysique et Océanographie Spatiales; Institute de Recherche pour le Développement (IRD), Cayenne IRD Center, 97323, French Guiana, France)",54,54,2.55,28.84,https://link.springer.com/content/pdf/10.1007/s10712-022-09700-9.pdf,https://app.dimensions.ai/details/publication/pub.1147246596,37 Earth Sciences; 3707 Hydrology,
4017,pub.1164723960,10.1016/j.scitotenv.2023.167588,37804966,,A holistic approach to the spatio-temporal variability investigation of the main river water quality – The importance of tributaries,"The surface water pollution can cause serious ecological disasters. An example is large-scale fish deaths due to excessive salinity, which is global problem. In order to prevent such situations, it is necessary to carry out regular monitoring of both main rivers and their tributaries. The current monitoring system is neither adapted to the variability associated with the diversified use of catchments nor to changing climatic conditions. The Bzura River is one of the most anthropogenically transformed Polish rivers. So far, no comprehensive assessment of the chemical status of its catchment has been carried out. The presented research is a continuation of the study of the spatio-temporal variability of the Bzura chemistry. It covered 19 tributaries within the boundaries of the Łódź Voivodeship. Samples were collected once a month for one hydrological year. In total, 228 samples were obtained, in which 21 parameters were measured. Spatio-temporal variability of water quality on the basis of coefficients of variation (CVs) and water quality indices (WQIs) was evaluated. Principal component analysis (PCA) and cluster analysis (CA) were also performed. In addition, the datasets were visualized using geochemical maps. Combined monitoring with geospatial analysis brings benefits in terms of efficient control and management of water resources. The tributaries were divided according to the degree of their pollution. It was found that the electrical conductivity and concentrations of dissolved oxygen, nitrates, calcium and magnesium differentiated the tributaries in terms of pollution the most. The strong salinity from agricultural and geogenic sources was found. The WQIs were higher for the tributaries than for the Bzura. It suggests that the Bzura may be polluted by the tributaries under ""favorable"" climatic and hydrological conditions. Therefore, smaller watercourses should be included in monitoring and become more important in terms of an effective solution to global problem of surface water pollution.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments The authors are grateful to Lodz University of Technology for granting access to the computing infrastructure built into project Nos. POIG.02.03.00-00-028/08 “PLATON-Science Services Platform” and POIG.02.03.00-00-110/13 “Deploying high-availability, critical services in Metropolitan Area Networks (MAN-HA)”. The authors wish to thank Jakub Kubicki (Institute of General and Ecological Chemistry, Lodz University of Technology) for his support in metal analyses and Piotr Anielak (Institute of General and Ecological Chemistry, Lodz University of Technology) for his excellent support in DOC analyses.","This work was supported by the Young Scientists' Fund at the Faculty of Chemistry, Lodz University of Technology, Lodz, Poland (grants number W-3D/FMN/8G/2020 and W-3D/FMN/3G/2021) and by the Own scholarship Fund of Lodz University of Technology, Lodz, Poland (grant number RNN/WFS/19/2021).",The Science of The Total Environment,,,,2023-10-05,2023,2023-10-05,2024-01,906,,167588,All OA; Bronze,Article,"Wieczorek, Kinga; Turek, Anna; Szczesio, Małgorzata; Wolf, Wojciech M","Wieczorek, Kinga (Lodz University of Technology, Institute of General and Ecological Chemistry, 116 Żeromskiego Str., 90-924 Lodz, Poland. Electronic address: kinga.wieczorek@p.lodz.pl.); Turek, Anna (Lodz University of Technology, Institute of General and Ecological Chemistry, 116 Żeromskiego Str., 90-924 Lodz, Poland. Electronic address: anna.turek@p.lodz.pl.); Szczesio, Małgorzata (Lodz University of Technology, Institute of General and Ecological Chemistry, 116 Żeromskiego Str., 90-924 Lodz, Poland. Electronic address: malgorzata.szczesio@p.lodz.pl.); Wolf, Wojciech M (Lodz University of Technology, Institute of General and Ecological Chemistry, 116 Żeromskiego Str., 90-924 Lodz, Poland. Electronic address: wojciech.wolf@p.lodz.pl.)","Wieczorek, Kinga (Lodz University of Technology)","Wieczorek, Kinga (Lodz University of Technology); Turek, Anna (Lodz University of Technology); Szczesio, Małgorzata (Lodz University of Technology); Wolf, Wojciech M (Lodz University of Technology)",2,2,,,https://doi.org/10.1016/j.scitotenv.2023.167588,https://app.dimensions.ai/details/publication/pub.1164723960,37 Earth Sciences; 3707 Hydrology,
4017,pub.1150403817,10.1016/j.jenvman.2022.115935,36027731,,"Assessment of the impact of urban water system scheduling on urban flooding by using coupled hydrological and hydrodynamic model in Fuzhou City, China","With climate change and urbanization development, urban areas are facing more serious floods. As a result, hydrological and hydrodynamic models have recently shown a broad application prospect in urban flood simulating and forecasting. For the area with rich inland rivers, urban water resources can be effectively regulated and redistributed through river networks and hydraulic structures scheduling. However, the lack of research on the effect of scheduling becomes a major limitation in model applications. Based on a coupled hydrodynamics model, the current study simulates the flooding response to the combined rainstorm and scheduling scenarios and analyzes the river overflow at the community scale. The result indicated that three local regions in the Jin'an study area are inundated easily. The locations near Qinting Lake were more sensitive to the water regulation rules than others. In the model of control on Qinting Lake, section A is more sensitive to the schedule control than section B, while for section A, the water level increased by 1.44% under the return period (RP) (10 a), and the rate changed to 2.64% under the RP (100 a). The differences in inundation from various scenarios are relatively small. In the mode of joint discharge rules under RP (50 a), the water level changed by 4.77% in section A and 1.24% in section B. The simulation at the community scale considers the overflow process, and the results indicated that the total inundation area decreased by 12.8 ha under joint schedules. The significant effects to alleviate urban inundation mainly come from the decreased flood overflow from the channel, but not from the flooding nodes. This study provides promising references for urban flood management.",This study was supported by the National Natural Science Foundation of China (Grant No. 2017YFC1502701).,,Journal of Environmental Management,,,"China; Floods; Hydrodynamics; Models, Theoretical; Rivers; Water",2022-08-23,2022,2022-08-23,2022-11,321,,115935,Closed,Article,"Ye, Chenlei; Xu, Zongxue; Lei, Xiaohui; Zhang, Rui; Chu, Qi; Li, Peng; Ban, Chunguang","Ye, Chenlei (College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.); Xu, Zongxue (College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China. Electronic address: zxxu@bnu.edu.cn.); Lei, Xiaohui (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.); Zhang, Rui (College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.); Chu, Qi (Beijing University of Technology, Beijing, 100124, China.); Li, Peng (College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.); Ban, Chunguang (College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.)","Xu, Zongxue (Beijing Normal University; College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China. Electronic address: zxxu@bnu.edu.cn.)","Ye, Chenlei (Beijing Normal University; College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.); Xu, Zongxue (Beijing Normal University; College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China. Electronic address: zxxu@bnu.edu.cn.); Lei, Xiaohui (China Institute of Water Resources and Hydropower Research); Zhang, Rui (Beijing Normal University; College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.); Chu, Qi (Beijing University of Technology); Li, Peng (Beijing Normal University; College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.); Ban, Chunguang (Beijing Normal University; College of Water Sciences, Beijing Normal Univ., Beijing, 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, 100875, China.)",4,4,,1.92,,https://app.dimensions.ai/details/publication/pub.1150403817,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,13 Climate Action
4016,pub.1069148226,10.2166/wst.2016.333,27763334,,A decision classifier to classify rivers for river management based on their structure in China: an example from the Yongding river,"River classification is a very useful tool for river management yet still a difficult task. This paper proposed a new decision classifier (DCF) to classify rivers for Chinese river management based on existing classification systems. Aimed at river function management, the DCF with the five-layers frame was developed on reach level in a spatially nested pattern that from top to bottom are natural province, basin, valley, reach, habitat and microhabitat. Five indexes (artificial degree, closeness, sinuosity, bed material texture, geomorphic units (GUs)) were selected and organized into the DCF according to the importance of the influence on river structure from macro to micro, large to small and top to bottom, because they represent main aspects of river structures and are easy to obtain. In addition, the closeness index is another good connector between valley level and reach level, and the GUs index links reach level to habitat level. The overall procedure to use DCF includes primary indoor classification and field validation. Remote sensing, geographical information system and global positioning system technologies were adopted in the process to dramatically reduce workload, especially fieldwork. Finally, the approach was applied to the Yongding river as a good example, and 17 river styles were identified.","This study is supported by the project of Natural Science Foundation of China (41461021) and Opening Fund of Key Laboratory of Environment Change and Resource Use in Beibu Gulf, Ministry of Education (Guangxi Teachers Education University) (2014BGERLXT15).",,Water Science & Technology,,,"China; Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Geographic Information Systems; Rivers; Water Pollutants, Chemical; Water Pollution",2016-07-29,2016,2016-07-29,2016-10-20,74,7,1539-1552,All OA; Hybrid,Article,"Zhao, Yinjun; Ding, Aizhong","Zhao, Yinjun (Guangxi Teachers Education University, Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning 530001, China; College of Water Sciences, Beijing Normal University, 19 XinwaiStreet, Haidian District, Beijing 100875, China); Ding, Aizhong (College of Water Sciences, Beijing Normal University, 19 XinwaiStreet, Haidian District, Beijing 100875, China)","Zhao, Yinjun (Nanning Normal University; Beijing Normal University)","Zhao, Yinjun (Nanning Normal University; Beijing Normal University); Ding, Aizhong (Beijing Normal University)",7,1,0.1,2.28,https://iwaponline.com/wst/article-pdf/74/7/1539/458416/wst074071539.pdf,https://app.dimensions.ai/details/publication/pub.1069148226,37 Earth Sciences; 3704 Geoinformatics,
4012,pub.1169494446,10.1016/j.envres.2024.118656,38460664,,"Chemical characteristics and health risk evaluation of natural waters in the Du River Source National Nature Reserve: A case study in Zhushan County, Hubei Province, China","To study the distribution of trace elements in natural water of the Du River Source National Nature Reserve and to assess the water quality and health risks, Zhushan County in Hubei Province was selected as the study area. Element content in 361 natural water samples collected from Zhushan County were measured by ICP-MS, ICP-OES, and HG-AFS. The main anions and cations present in water samples from Zhushan County are Ca2+ and HCO3-. The water chemistry is predominantly influenced by the weathering of carbonate rocks. The water samples with high content of selenium (Se) (0∼82.9 μg/L, mean 4.6 μg/L) in natural water in Zhushan County are mainly distributed in the northern part of Zhushan. The strontium (Sr) content of 49.6% of the water samples (0.001-2.177 mg/L, mean 0.234 mg/L) reached the criteria of natural mineral water for drinking in China (Sr ≥ 0.2 mg/L), which is distributed throughout the county. The high content of metasilicic acid (H2SiO3) (0.026-35.910 mg/L, mean 12.598 mg/L) and zinc (Zn) (0∼407.218 μg/L, mean 12.406 μg/L) are concentrated in northern Zhushan County. 99.7% water samples were freshwater and 98.9% meet the criteria of ""good"" water quality. All of the natural water samples have low health risk and low heavy metal pollution. 6.1% water samples meet the criteria of Se-type mineral water, while 45.4% meet the criteria of Sr-type mineral water, and 4.4% water samples meet the criteria of ""low sodium, high Se, and high Sr"" mineral water. Zhushan County has the potential for Se-type mineral water and Sr-type mineral water development. The findings of this study hold immense significance for the public health implications of drinking water in Du River Source, thereby offering valuable insights for effective water resources management.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This work was financially supported by Chinese National Natural Sciences Foundation [Grant number: 42272208, 42277196]; the National Basic Research Program of China [Grant number: 2021YFC2902002] and the Fundamental Research Funds for the Central Universities [Grant number: 2023ZKPYDC03]. The authors are also grateful to Bo Li, Piaopiao Zhang, Jie Long, Sujiao Yang, and Jiaxin Tan for their efforts in sample collection and analysis.",,Environmental Research,,,,2024-03-07,2024,2024-03-07,2024-06,251,,118656,Closed,Article,"Luo, Yingjie; Li, Tongyu; Zhang, Shixi; Hao, Litao; Luo, Kunli","Luo, Yingjie (School of Geosciences and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China; Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.); Li, Tongyu (Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.); Zhang, Shixi (School of Geosciences and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China. Electronic address: superzsx@126.com.); Hao, Litao (College of New Energy and Environment, Jilin University, Changchun, 130021, China.); Luo, Kunli (Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.)","Zhang, Shixi (China University of Mining and Technology)","Luo, Yingjie (China University of Mining and Technology; Institute of Geographic Sciences and Natural Resources Research); Li, Tongyu (Institute of Geographic Sciences and Natural Resources Research); Zhang, Shixi (China University of Mining and Technology); Hao, Litao (Jilin University); Luo, Kunli (Institute of Geographic Sciences and Natural Resources Research)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1169494446,41 Environmental Sciences; 4105 Pollution and Contamination,
4012,pub.1069011352,10.2134/jeq2015.01.0048,26436266,PMC4884445,QMRAcatch: Microbial Quality Simulation of Water Resources including Infection Risk Assessment,"Given the complex hydrologic dynamics of water catchments and conflicts between nature protection and public water supply, models may help to understand catchment dynamics and evaluate contamination scenarios and may support best environmental practices and water safety management. A catchment model can be an educative tool for investigating water quality and for communication between parties with different interests in the catchment. This article introduces an interactive computational tool, QMRAcatch, that was developed to simulate concentrations in water resources of , a human-associated microbial source tracking (MST) marker, enterovirus, norovirus, , and as target microorganisms and viruses (TMVs). The model domain encompasses a main river with wastewater discharges and a floodplain with a floodplain river. Diffuse agricultural sources of TMVs that discharge into the main river are not included in this stage of development. The floodplain river is fed by the main river and may flood the plain. Discharged TMVs in the river are subject to dilution and temperature-dependent degradation. River travel times are calculated using the Manning-Gauckler-Strickler formula. Fecal deposits from wildlife, birds, and visitors in the floodplain are resuspended in flood water, runoff to the floodplain river, or infiltrate groundwater. Fecal indicator and MST marker data facilitate calibration. Infection risks from exposure to the pathogenic TMVs by swimming or drinking water consumption are calculated, and the required pathogen removal by treatment to meet a health-based quality target can be determined. Applicability of QMRAcatch is demonstrated by calibrating the tool for a study site at the River Danube near Vienna, Austria, using field TMV data, including a sensitivity analysis and evaluation of the model outcomes.","AcknowledgmentsThis work was supported by the Austrian Science Fund (FWF) as part of the Vienna Doctoral Programme on Water Resource Systems (W1219‐N22), the FWF project P22309‐B20, and the research project Groundwater Resource Systems Vienna in cooperation with the Vienna Waterworks as part of the (New) Danube–Lower Lobau Network Project (Gewässervernetzung [Neue] Donau–Untere Lobau [Nationalpark Donau‐Auen]) funded by the Government of Austria (Federal Ministry of Agriculture, Forestry, Environment and Water Management), the Government of Vienna, and the European Agricultural Fund for Rural Development (project LE 07‐13). The authors thank the viadonau– Österreichische Wasserstrassen‐Gesellschaft mbH for providing the discharge and temperature data of the Danube River and Ankie Sterk for providing data on characteristics of fecal droppings and TMV concentrations in animal feces.",,Journal of Environmental Quality,,,,2015-09-01,2015,2015-09-01,2015-09,44,5,1491-1502,All OA; Green,Article,"Schijven, Jack; Derx, Julia; de Roda Husman, Ana Maria; Blaschke, Alfred Paul; Farnleitner, Andreas H.","Schijven, Jack (National Institute for Public Health and the Environment (RIVM), Department of Statistics, Informatics and Modelling, PO Box 1, 3720, BA, Bilthoven, the Netherlands; Utrecht Univ., Faculty of Geosciences, Dep. of Earth Sciences, Utrecht, the Netherlands); Derx, Julia (Vienna Univ. of Technology, Institute of Hydraulic Engineering and Water Resources Management, E222/2, Karlsplatz, 13 A‐1040, Vienna, Austria; InterUniversity Cooperation Centre for Water and Health (ICC Water and Health), Vienna, Austria; Centre for Water Resource Systems, Vienna University of Technology, E222/2, Karlsplatz, 13 A‐1040, Vienna, Austria); de Roda Husman, Ana Maria (National Institute for Public Health and the Environment (RIVM), Department of Statistics, Informatics and Modelling, PO Box 1, 3720, BA, Bilthoven, the Netherlands; Utrecht Univ., Faculty of Veterinary Medicine, Institute for Risk Assessment Sciences, Utrecht, the Netherlands); Blaschke, Alfred Paul (Vienna Univ. of Technology, Institute of Hydraulic Engineering and Water Resources Management, E222/2, Karlsplatz, 13 A‐1040, Vienna, Austria; InterUniversity Cooperation Centre for Water and Health (ICC Water and Health), Vienna, Austria; Centre for Water Resource Systems, Vienna University of Technology, E222/2, Karlsplatz, 13 A‐1040, Vienna, Austria); Farnleitner, Andreas H. (InterUniversity Cooperation Centre for Water and Health (ICC Water and Health), Vienna, Austria; Vienna Univ. of Technology, Institute of Chemical Engineering, Research Group Environmental Microbiology and Molecular Ecology, Gumpendorferstraße 1a, 1060, Vienna, Austria)","Schijven, Jack (National Institute for Public Health and the Environment; Utrecht University)","Schijven, Jack (National Institute for Public Health and the Environment; Utrecht University); Derx, Julia (TU Wien; Interuniversity Cooperation Centre Water & Health; TU Wien); de Roda Husman, Ana Maria (National Institute for Public Health and the Environment; Utrecht University); Blaschke, Alfred Paul (TU Wien; Interuniversity Cooperation Centre Water & Health; TU Wien); Farnleitner, Andreas H. (Interuniversity Cooperation Centre Water & Health; TU Wien)",44,14,1.28,4.98,https://europepmc.org/articles/pmc4884445?pdf=render,https://app.dimensions.ai/details/publication/pub.1069011352,37 Earth Sciences; 3707 Hydrology,6 Clean Water and Sanitation
4009,pub.1151613102,10.1016/j.scitotenv.2022.159236,36208755,,A copula-based security risk evaluation and probability calculation for water-energy-food nexus,"Water-energy-food (WEF) are essential for human survival and development and they interact complexly. The research on Water-energy-food-coupling security risk (WEF-CSR) is crucial to promoting multi resource collaborative management. In this study, a comprehensive index system was constructed using three dimensions: reliability (Ra), coordination (C), and resilience (Rs). We selected the middle and upper reaches of the Yellow River Basin in China to study WEF-CSR conflicts, coupled with the Copula method of risk probability calculation. The results showed that: 1) from 2005 to 2021, the WEF-CSR index in the study area showed a progressively increasing trend, with a mean value of 0.49 in a critical safety state and lower values in the upper reaches of Ningxia and Gansu provinces. 2) The Ra-indexes in the criterion layer is not clearly affected by resource endowment conditions between annual periods; C-indexes are growing rapidly, with their annual growth rate four times as fast as the Ra-indexes, and Rs-indexes growing at about 2.7 times faster. 3) ""Energy consumption per capita, carbon emissions, and water-related indicators"" are the six main limiting factors, with a combined impediment degree of over 35 %, water resources are major constraint. 4) The Ra-C, C-Rs, and Ra-C-Rs indexes are well fitted by Clayton copula, and the C-Rs indexes are well fitted by Frank copula. The three-dimensional joint distribution risk probability, Ra-C-Rs (Ra ≤ 0.4, C ≤ 0.4, Rs ≤ 0.4) is 0.29. When the Ra or C indexes increases, the probability of unsafe Rs rises to 40 %-50 %, meaning future development must emphasize synergy, especially in Rs. In future, the five provinces in the middle and upper reaches of the Yellow River should focus on reducing energy pressure, improving water shortage conditions, and enhancing the overall resilience to avoid single-factor adverse conditions affecting WEF's coordinated and sustainable development.","This work was supported by the National Key Research and Development Program of China (2021YFC3200204) and the Funds of National Natural Science Foundation of China (52025093, 51809282, 52109042).",,The Science of The Total Environment,,,Humans; Water Supply; Food Supply; Water; Reproducibility of Results; Probability,2022-10-06,2022,2022-10-06,2023-01,856,Pt 2,159236,Closed,Article,"Li, Wei; Jiang, Shan; Zhao, Yong; Li, Haihong; Zhu, Yongnan; He, Guohua; Xu, Yiran; Shang, Yizi","Li, Wei (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Jiang, Shan (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China. Electronic address: jiangs@iwhr.com.); Zhao, Yong (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Li, Haihong (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Zhu, Yongnan (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); He, Guohua (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Xu, Yiran (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.); Shang, Yizi (State Key Laboratory of Simulation and Regulation of Water Cycles in River Basins, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.)","Jiang, Shan (China Institute of Water Resources and Hydropower Research)","Li, Wei (China Institute of Water Resources and Hydropower Research); Jiang, Shan (China Institute of Water Resources and Hydropower Research); Zhao, Yong (China Institute of Water Resources and Hydropower Research); Li, Haihong (China Institute of Water Resources and Hydropower Research); Zhu, Yongnan (China Institute of Water Resources and Hydropower Research); He, Guohua (China Institute of Water Resources and Hydropower Research); Xu, Yiran (China Institute of Water Resources and Hydropower Research); Shang, Yizi (China Institute of Water Resources and Hydropower Research)",10,10,,8.52,,https://app.dimensions.ai/details/publication/pub.1151613102,37 Earth Sciences; 3704 Geoinformatics,7 Affordable and Clean Energy
4005,pub.1150700051,10.1016/j.scitotenv.2022.158449,36058338,,Closing the irrigation water productivity gap to alleviate water shortage in an endorheic basin,"Closing the irrigation water productivity (IWP) gap is an effective approach to alleviating water deficits and ensuring food security. However, few studies have attempted to quantify the IWP gap and the potential benefits of closing it. This study adopted the Heihe River Basin, the second-largest inland basin in China, as a typical study area. The aims of this study were to: (1) assess the positive achievements and potential risks triggered by the Heihe Ecological Water Diversion Project (EWDP) according to multi-source and multi-scale measured data; (2) analyze potential approaches to improve the IWP and quantify the potential benefits that can be achieved by closing its IWP gap. The results of this study indicated that the EWDP effectively reallocated surface water resources, replenished groundwater in the lower reaches, and facilitated the recovery of oases and economic development in the downstream regions. However, this project has indirectly led to an imbalance in the groundwater resource between the middle and lower reaches, resulting in decline in groundwater levels and degradation of local vegetation in the midstream regions. In addition, the expansion of cultivated land in the midstream and downstream oases has resulted in the deterioration of farmland environment. The water transfer resulted in a deceleration in the growth of IWP from 2.44 % to 1.15 %, and the existing IWP gap was 1.43 kg/m3 between 1984 and 2017. This study predicted a future increase in the IWP to 2.01 kg/m3 with a reduction in the gap to 0.45 kg/m3 while maintaining food production. The potential for conserving water in the Heihe agricultural region can reach 552 million m3 by reducing the planting area by 10 %, improving irrigation water use efficiency by 20 %, maintaining existing agricultural film inputs, and reducing fertilizer application by 10 %. Following the research recommendations can greatly alleviate the agricultural water shortage and over-extraction of groundwater in the middle reaches and ensure meeting ecological water demand in the lower reaches. This study can act as a reference for sustainable management of an endorheic basin.","This study was supported by the Chinese National Natural Science Foundation Program (91425302, 51790534) and China Postdoctoral Science Foundation (2021M703519). MZ appreciates the China Scholarship Council (CSC: 201806350191) for supporting his study at the Center for Ecosystem Science and Society, Northern Arizona University, USA. We thank Dr. Kai Feng from the College of Water Resources and Agricultural Engineering, Northwest AF University for his help with the cross wavelet transform analysis.",,The Science of The Total Environment,,,Water; Fertilizers; Water Resources; Rivers; Groundwater; China,2022-09-02,2022,2022-09-02,2022-12,853,,158449,Closed,Article,"Zou, Minzhong; Kang, Shaozhong","Zou, Minzhong (Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei 733009, China.); Kang, Shaozhong (Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei 733009, China. Electronic address: kangsz@cau.edu.cn.)","Kang, Shaozhong (China Agricultural University; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei 733009, China. Electronic address: kangsz@cau.edu.cn.)","Zou, Minzhong (China Agricultural University; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei 733009, China.); Kang, Shaozhong (China Agricultural University; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei 733009, China. Electronic address: kangsz@cau.edu.cn.)",4,4,,2.14,,https://app.dimensions.ai/details/publication/pub.1150700051,37 Earth Sciences; 3707 Hydrology,2 Zero Hunger; 6 Clean Water and Sanitation
4001,pub.1072873929,10.5455/msm.2016.28.307-313,27698608,PMC5034983,ARE MACRO AND MICRO ENVIRONMENT AFFECTING MANAGEMENT OF FRESH WATER RESOURCES? A CASE FROM IRAN WITH PESTLE ANALYSIS,"INTRODUCTION: Oil spill in fresh water can affect ecological processes and accordingly it can influence human health. Iran, due to having 58.8 % of the world oil reserves, is highly vulnerable to water contamination by oil products.
AIM: The aim of this study was to determine environmental factors affecting the management of the oil spill into one of the river in Iran using the PESTLE analysis.
MATERIAL AND METHODS: This was a qualitative case study conducted in 2015 on an oil spill incident in Iran and its roots from a disaster management approach. Semi-structured interviews were conducted for data collection. Seventy managers and staffs with those responsible or involved in oil spill incident management were recruited to the study. Qualitative content analysis approach was employed for the data analysis. Document analysis was used to collect additional information.
RESULTS: Findings of the present study indicated that different factors affected the management of the event of oil spill onto one of the central river and consequently the management of drink water resources. Using this analysis, managers can plan for such events and develop scenarios for them to have better performance for the future events.",This study was a part of a PhD thesis supported financially by Iran University of Medical Sciences (Grant no.IUMS/SHMIS-1393/29).,,Materia Socio Medica,,,,2016-08-01,2016,2016-08-01,2016,28,4,307-313,All OA; Green,Article,"Atighechian, Golrokh; Maleki, Mohammadreza; Aryankhesal, Aidin; Jahangiri, Katayoun","Atighechian, Golrokh (Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran); Maleki, Mohammadreza (Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran); Aryankhesal, Aidin (Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran; Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran); Jahangiri, Katayoun (Health in Disasters and Emergencies Department, School of Health, Safety and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran)","Aryankhesal, Aidin (Iran University of Medical Sciences; Iran University of Medical Sciences)","Atighechian, Golrokh (Iran University of Medical Sciences); Maleki, Mohammadreza (Iran University of Medical Sciences); Aryankhesal, Aidin (Iran University of Medical Sciences; Iran University of Medical Sciences); Jahangiri, Katayoun (Shahid Beheshti University of Medical Sciences)",3,1,0.09,0.39,https://europepmc.org/articles/pmc5034983?pdf=render,https://app.dimensions.ai/details/publication/pub.1072873929,41 Environmental Sciences; 4104 Environmental Management,
3999,pub.1164722347,10.1007/s11356-023-29998-1,37798518,,Sampling frequency optimization of the water quality monitoring network in São Paulo State (Brazil) towards adaptive monitoring in a developing country,"Water quality monitoring networks (WQMNs) that capture both the temporal and spatial dimensions are essential to provide reliable data for assessing water quality trends in surface waters, as well as for supporting initiatives to control anthropogenic activities. Meeting these monitoring goals as efficiently as possible is crucial, especially in developing countries where the financial resources are limited and the water quality degradation is accelerating. Here, we asked if sampling frequency could be reduced while maintaining the same degree of information as with bimonthly sampling in the São Paulo State (Brazil) WQMN. For this purpose, we considered data from 2004 to 2018 for 56 monitoring sites distributed into four out of 22 of the state’s water resources management units (UGRHIs, “Unidades de Gerenciamento de Recursos Hídricos”). We ran statistical tests for identifying data redundancy among two-month periods in the dry and wet seasons, followed by objective criteria to develop a sampling frequency recommendation. Our results showed that the reduction would be feasible in three UGRHIs, with the number of annual samplings ranging from two to four (instead of the original six). In both seasons, dissolved oxygen and Escherichia coli required more frequent sampling than the other analyzed parameters to adequately capture variability. The recommendation was compatible with flexible monitoring strategies observed in well-structured WQMNs worldwide, since the suggested sampling frequencies were not the same for all UGRHIs. Our approach can contribute to establishing a methodology to reevaluate WQMNs, potentially resulting in less costly and more adaptive strategies in São Paulo State and other developing areas with similar challenges.","RGBA thanked the Geological Survey of Brazil (CPRM, Companhia de Pesquisa de Recursos Minerais) for the in-kind support for this research.","DGFC received a research productivity grant from the National Council for Scientific and Technological Development (CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico) in Brazil (Process #310844/2020–7).",Environmental Science and Pollution Research,,,Water Quality; Environmental Monitoring; Brazil; Developing Countries; Rivers,2023-10-06,2023,2023-10-06,2023-11,30,51,111113-111136,Closed,Article,"de Almeida, Ricardo Gabriel Bandeira; Lamparelli, Marta Condé; Dodds, Walter Kennedy; Cunha, Davi Gasparini Fernandes","de Almeida, Ricardo Gabriel Bandeira (Serviço Geológico do Brasil, Avenida Engenheiro Camilo Dinucci, 989, Jardim Dumont, CEP 14808-593, Araraquara, SP, Brazil); Lamparelli, Marta Condé (Companhia Ambiental do Estado de São Paulo (CETESB), Avenida Professor Frederico Hermann Júnior, 345 Alto de Pinheiros, CEP 05459-900, São Paulo, SP, Brazil); Dodds, Walter Kennedy (Division of Biology, Kansas State University, 116 Ackert Hall, 66506, Manhattan, KS, USA); Cunha, Davi Gasparini Fernandes (Departamento de Hidráulica e Saneamento, Escola de Engenharia de São Carlos, Universidade de São Paulo, Avenida Trabalhador São-Carlense, 400 Centro, CEP 13566-590, Sao Carlos, SP, Brazil)","de Almeida, Ricardo Gabriel Bandeira (Serviço Geológico do Brasil, Avenida Engenheiro Camilo Dinucci, 989, Jardim Dumont, CEP 14808-593, Araraquara, SP, Brazil)","de Almeida, Ricardo Gabriel Bandeira (Serviço Geológico do Brasil, Avenida Engenheiro Camilo Dinucci, 989, Jardim Dumont, CEP 14808-593, Araraquara, SP, Brazil); Lamparelli, Marta Condé (Companhia Ambiental do Estado de São Paulo (CETESB), Avenida Professor Frederico Hermann Júnior, 345 Alto de Pinheiros, CEP 05459-900, São Paulo, SP, Brazil); Dodds, Walter Kennedy (Kansas State University); Cunha, Davi Gasparini Fernandes (Universidade de São Paulo)",3,3,,,,https://app.dimensions.ai/details/publication/pub.1164722347,41 Environmental Sciences; 4104 Environmental Management,
3997,pub.1117673865,10.1016/j.scitotenv.2019.06.513,31284199,,Water diplomacy and nexus governance in a transboundary context: In the search for complementarities,"Growing evidence within nexus research has highlighted the importance for sustainable governance of considering the interdependencies between water, energy, food and the environment, whereas water diplomacy has provided the necessary tools to address water conflicts of a transboundary nature. This paper therefore identifies and evaluates unrealised complementarities between nexus governance and water diplomacy, and discusses the benefits of integrating both for improved transboundary basin management. Two case studies - a wastewater treatment plant within the Jordan's nexus vision and a research project into management of the transboundary Zambezi River Basin - illustrate the identified complementarities and their contribution towards collaborative transboundary natural resources management. On one hand, the consideration of synergies and trade-offs between water, energy and food systems and beyond the river basin scale within nexus governance engages a larger diversity of stakeholders and can help realise more balanced agreements between sectors and hence complement water diplomacy goals. The enriched negotiations arising from a nexus approach can facilitate benefits-sharing in water diplomacy due to the broader exchange of experiences across several natural resources systems. Likewise, international nexus development projects involving a diverse range of sectors and stakeholders can ultimately facilitate peace building through inter-state cooperation and reduce the focus on disputed natural resources. On the other hand, water diplomacy provides tools to address complexity and capture political contexts that overcome the traditional technical and 'most-rational-solution' methods. With the application of joint fact finding, value creation and collaborative adaptive management, the added value includes the generation of a shared understanding that embeds politics in decision-making and promotes mutual gains. Further collaboration and on-the-ground experiences between researchers, policy makers and the private sector are needed, to acknowledge and act upon the complementarities of nexus governance and water diplomacy, with the final outcome of promoting cooperation in the management of transboundary resources.","The paper was inspired during the authors&#x27; participation in the Water Diplomacy Training for Young Professionals (Alexandria - Egypt, 29th October–2nd November 2017) organised and funded by the Swedish Institute Alexandria. We would like to thank Gül Özerol, the initiator of this training, and Ian Holman for the time and insights they provided to improve the research quality and writing of this paper. The authors are also grateful for the comments and recommendations of two anonymous reviewers, which helped to improve the quality of the manuscript. Gloria Salmoral acknowledges the support of the Natural Environment Research Council (NERC) funded project NEXT-AG (NE/R015759/1). No new data were collected in the course of this research.",,The Science of The Total Environment,,,,2019-07-02,2019,2019-07-02,2019-11,690,,85-96,All OA; Hybrid,Article,"Salmoral, Gloria; Schaap, Nynke C E; Walschebauer, Julia; Alhajaj, Areen","Salmoral, Gloria (Cranfield Water Science Institute, Cranfield University, Cranfield MK43 0AL, UK. Electronic address: gloria.salmoral@cranfield.ac.uk.); Schaap, Nynke C E (Arcadis - Design and Consultancy for Natural and Built Assets, Beaulieustraat 22, 6814 DV Arnhem, the Netherlands. Electronic address: nynke.schaap@arcadis.com.); Walschebauer, Julia (Independent researcher, Belgium. Electronic address: julia.walsche@gmail.com.); Alhajaj, Areen (German Jordanian University, Amman Madaba St., P.O. Box 35247, Amman 11180, Jordan. Electronic address: a.abuqullaalhajaj@gju.edu.jo.)","Salmoral, Gloria (Cranfield University)","Salmoral, Gloria (Cranfield University); Schaap, Nynke C E (Arcadis - Design and Consultancy for Natural and Built Assets, Beaulieustraat 22, 6814 DV Arnhem, the Netherlands. Electronic address: nynke.schaap@arcadis.com.); Walschebauer, Julia (Independent researcher, Belgium. Electronic address: julia.walsche@gmail.com.); Alhajaj, Areen (German Jordanian University)",38,15,0.24,23.75,https://doi.org/10.1016/j.scitotenv.2019.06.513,https://app.dimensions.ai/details/publication/pub.1117673865,48 Law and Legal Studies; 4802 Environmental and Resources Law,
3996,pub.1157657647,10.1007/s11356-023-26887-5,37121945,,"Identifying the impact of land use land cover change on streamflow and nitrate load following modeling approach: a case study in the upstream Dong Nai River basin, Vietnam","Tri An Reservoir is a vital source of water for agriculture, industry, hydropower, and public usage in Southern Vietnam. Due to human activities, water eutrophication has become a serious problem in recent decades. This study investigated for the first time the impact of land use and land cover (LULC) change on streamflow and nitrate load from the upstream Dong Nai River basin, which is the largest watershed of the reservoir. The study utilized several LULC scenarios, including LULC 2000, 2010, and 2020. The SWAT model was applied to model the watershed during the period 1997–2009. Results showed that the hydrological model performed satisfactorily based on the Nash–Sutcliffe efficiency (NSE) coefficient, the root mean square error observations standard deviation ratio (RSR), and the percent bias (PBIAS). The average simulated values of monthly streamflow and nitrate load were 453.7, 450.0, 446.7 m3/s and 17,699.43, 17,869.13, 17,590.81 tonnes for the LULC 2000, 2010, and 2020 scenarios, respectively. There were no significant differences in streamflow and nitrate load at the basin level under the different LULC scenarios. However, when looking at the subbasin level, there were differences in nitrate load among the scenarios. This suggests that the impacts of LULC on nitrate load may be more pronounced at smaller scales. Overall, our finding underscores the importance of modeling techniques in predicting the impacts of LULC change on streamflow and water quality, which can ultimately aid in the sustainable management of water resources.",The authors would like to thank the Ma Da Commune People’s Committee for their help during field sampling. We thank anonymous referees for their valuable comments on our manuscript.,,Environmental Science and Pollution Research,,,Humans; Nitrates; Rivers; Vietnam; Water Quality; Agriculture,2023-05-01,2023,2023-05-01,2023-06,30,26,68563-68576,Closed,Article,"Le, Tu Hoang; Nguyen, Thi Ngoc Quyen; Tran, Thi Xuan Phan; Nguyen, Hao Quang; Truong, Nguyen Cung Que; Le, Thi Luom; Pham, Van Huynh; Pham, Thanh Luu; Tran, Thi Hoang Yen; Tran, Thanh Thai","Le, Tu Hoang (Research Center for Climate Change, Nong Lam University-Ho Chi Minh City, 700000, Ho Chi Minh City, Vietnam); Nguyen, Thi Ngoc Quyen (Faculty of Agriculture and Forestry, Tay Nguyen University, 63000, Buon Ma Thuot City, Dak Lak Province, Vietnam); Tran, Thi Xuan Phan (Faculty of Agriculture and Forestry, Tay Nguyen University, 63000, Buon Ma Thuot City, Dak Lak Province, Vietnam); Nguyen, Hao Quang (Port and Airport Research Institute, 239-0826, Yokosuka, Japan); Truong, Nguyen Cung Que (Institute for Environment and Resources, Vietnam National University—Ho Chi Minh City (VNU-HCM), 700000, Ho Chi Minh, Vietnam); Le, Thi Luom (Dong Nai Technical Resources and Environment Center, Dong Khoi Street, Tan Hiep Ward, 810000, Bien Hoa City, Dong Nai Province, Vietnam); Pham, Van Huynh (Dong Nai Technical Resources and Environment Center, Dong Khoi Street, Tan Hiep Ward, 810000, Bien Hoa City, Dong Nai Province, Vietnam); Pham, Thanh Luu (Graduate University of Science and Technology, Vietnam Academy of Science and Technology (VAST), 18 Hoang Quoc Viet Street, Cau Giay District, 100000, Hanoi, Vietnam; Institute of Tropical Biology, Vietnam Academy of Science and Technology (VAST), 85 Tran Quoc Toan Street, District 3, 700000, Ho Chi Minh City, Vietnam); Tran, Thi Hoang Yen (Institute of Tropical Biology, Vietnam Academy of Science and Technology (VAST), 85 Tran Quoc Toan Street, District 3, 700000, Ho Chi Minh City, Vietnam); Tran, Thanh Thai (Institute of Tropical Biology, Vietnam Academy of Science and Technology (VAST), 85 Tran Quoc Toan Street, District 3, 700000, Ho Chi Minh City, Vietnam)","Pham, Thanh Luu (Vietnam Academy of Science and Technology; Vietnam Academy of Science and Technology)","Le, Tu Hoang (Nong Lam University Ho Chi Minh City); Nguyen, Thi Ngoc Quyen (Thai Nguyen University); Tran, Thi Xuan Phan (Thai Nguyen University); Nguyen, Hao Quang (Port and Airport Research Institute); Truong, Nguyen Cung Que (Vietnam National University, Ho Chi Minh City); Le, Thi Luom (Dong Nai Technical Resources and Environment Center, Dong Khoi Street, Tan Hiep Ward, 810000, Bien Hoa City, Dong Nai Province, Vietnam); Pham, Van Huynh (Dong Nai Technical Resources and Environment Center, Dong Khoi Street, Tan Hiep Ward, 810000, Bien Hoa City, Dong Nai Province, Vietnam); Pham, Thanh Luu (Vietnam Academy of Science and Technology; Vietnam Academy of Science and Technology); Tran, Thi Hoang Yen (Vietnam Academy of Science and Technology); Tran, Thanh Thai (Vietnam Academy of Science and Technology)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1157657647,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,15 Life on Land; 7 Affordable and Clean Energy
3994,pub.1139011949,10.1016/j.marpolbul.2021.112629,34157538,,"A transdisciplinary approach supports community-led water quality monitoring in river basins adjacent to the Great Barrier Reef, Australia","Water quality monitoring programs (WQMPs) are crucial for assessment of water quality in river basins where agricultural intensification and development raise concerns in freshwater and marine environments. WQMPs if supported by scientists and local communities, and if based on the knowledge needs of all stakeholders, can provide vital information supporting resource management actions. Our paper focuses on the transdisciplinary development and implementation of a community-led pilot WQMP for the Tully River basin, adjacent to the Great Barrier Reef (GBR). The community-led pilot WQMP was established to fill some knowledge gaps identified during development of the Tully Water Quality Improvement Plan (WQIP) and to provide opportunities for active stakeholder participation in the monitoring. Results indicated some water quality parameters (i.e. nitrates and total phosphorus) had higher than expected values and exceeded state water quality guidelines. Hence, the results provided an evidence base for freshwater quality objective development to conserve, protect and improve water quality conditions in this basin and GBR. Leadership of Indigenous people in the pilot WQMP recognizes their deep desire to improve water resources outcomes and to care for country and people.","The authors would like to thank Philip Rist (CEO Girringun Aboriginal Corporation) and Matt Gillis (former Girringun Ranger Coordinator). In addition, the authors would like to thank Penny Ivey, Evelyn Ivey, Cindy Togo, Shea Ivey and Clinton Murray, Girringun Sea Country Rangers. The Rangers assisted in all phases of pilot water quality monitoring program. We would also like to thank Peter Lucy at Canegrowers in Tully, Queensland, Australia, and the Tully basin community. Tina Lawson at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) helped us with the graphics. This publication was supported by a grant from the Marine and Tropical Sciences Research Facility (MTSRF), a component of the Commonwealth Environment Research Facilities Program (CERF), an initiative of the Australian Government. The authors would also like to thank the three anonymous reviewers for their valuable feedback which improved the paper.",,Marine Pollution Bulletin,,,Australia; Environmental Monitoring; Humans; Phosphorus; Rivers; Water Quality,2021-06-19,2021,2021-06-19,2021-09,170,,112629,Closed,Article,"Tsatsaros, Julie H; Bohnet, Iris C; Brodie, Jon E; Valentine, Peter","Tsatsaros, Julie H (Forestry Department, New Mexico Highlands University, P.O. Box 9000, Las Vegas, NM 87701, USA; School of Earth and Environmental Sciences, College of Science and Engineering, James Cook University, Cairns, QLD 4870, Australia. Electronic address: jtsatsaros@nmhu.edu.); Bohnet, Iris C (Faculty of Environmental Sciences, Czech University of Life Sciences Prague, 165 00 Prague, Czech Republic. Electronic address: bohnet@fzp.czu.cz.); Brodie, Jon E (ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia. Electronic address: jon.brodie@jcu.edu.au.); Valentine, Peter (Centre for Tropical Environmental and Sustainability Science, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia. Electronic address: peter.valentine@jcu.edu.au.)","Tsatsaros, Julie H (New Mexico Highlands University; James Cook University)","Tsatsaros, Julie H (New Mexico Highlands University; James Cook University); Bohnet, Iris C (Czech University of Life Sciences Prague); Brodie, Jon E (ARC Centre of Excellence for Coral Reef Studies); Valentine, Peter (James Cook University)",9,9,0.83,2.46,,https://app.dimensions.ai/details/publication/pub.1139011949,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
3993,pub.1036684936,10.1007/s10661-014-4182-y,25433545,,"Assessment of water quality parameters using multivariate analysis for Klang River basin, Malaysia","This case study uses several univariate and multivariate statistical techniques to evaluate and interpret a water quality data set obtained from the Klang River basin located within the state of Selangor and the Federal Territory of Kuala Lumpur, Malaysia. The river drains an area of 1,288 km2, from the steep mountain rainforests of the main Central Range along Peninsular Malaysia to the river mouth in Port Klang, into the Straits of Malacca. Water quality was monitored at 20 stations, nine of which are situated along the main river and 11 along six tributaries. Data was collected from 1997 to 2007 for seven parameters used to evaluate the status of the water quality, namely dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, suspended solids, ammoniacal nitrogen, pH, and temperature. The data were first investigated using descriptive statistical tools, followed by two practical multivariate analyses that reduced the data dimensions for better interpretation. The analyses employed were factor analysis and principal component analysis, which explain 60 and 81.6 % of the total variation in the data, respectively. We found that the resulting latent variables from the factor analysis are interpretable and beneficial for describing the water quality in the Klang River. This study presents the usefulness of several statistical methods in evaluating and interpreting water quality data for the purpose of monitoring the effectiveness of water resource management. The results should provide more straightforward data interpretation as well as valuable insight for managers to conceive optimum action plans for controlling pollution in river water.","We would like to express our thanks to the Department of Irrigation and Drainage and the Department of Environment, Malaysia for their cooperation when we conducted this study. This research is financially supported by the Research Grant (No: RG244-12AFR, RP009C-13AFR, FL001-13SUS) from the University of Malaya. We are most grateful and would like to thank the reviewers for their valuable suggestions, which led to a substantial improvement of the article.",,Environmental Monitoring and Assessment,,,"Biological Oxygen Demand Analysis; Factor Analysis, Statistical; Malaysia; Multivariate Analysis; Principal Component Analysis; Rivers; Water Pollutants, Chemical; Water Pollution, Chemical; Water Quality; Water Resources",2014-11-30,2014,2014-11-30,2015-01,187,1,4182,Closed,Article,"Mohamed, Ibrahim; Othman, Faridah; Ibrahim, Adriana I. N.; Alaa-Eldin, M. E.; Yunus, Rossita M.","Mohamed, Ibrahim (Institute of Mathematical Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia); Othman, Faridah (Civil Engineering Department, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia); Ibrahim, Adriana I. N. (Institute of Mathematical Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia); Alaa-Eldin, M. E. (Civil Engineering Department, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia); Yunus, Rossita M. (Institute of Mathematical Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia)","Othman, Faridah (University of Malaya)","Mohamed, Ibrahim (University of Malaya); Othman, Faridah (University of Malaya); Ibrahim, Adriana I. N. (University of Malaya); Alaa-Eldin, M. E. (University of Malaya); Yunus, Rossita M. (University of Malaya)",62,20,1.6,7.08,,https://app.dimensions.ai/details/publication/pub.1036684936,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences,
3992,pub.1069146784,10.2166/wst.2014.059,24718352,,"Assessment of impacts from various hydro-ecological factors on oxygen budgets of a regulated river: a case study of the Petchburi River, western Thailand","Investigations of dissolved oxygen (DO) levels and related water quality in the Petchburi River, a regulated river system in western Thailand, were conducted at 3-month intervals from May 2010 to February 2012. The results indicated generally good water quality with DO levels >4 mg L(-1). Variations in water quality, particularly the DO and ammonium nitrogen levels along the river, occurred due to discharge regulation and the natural characteristics of the river. The processes which contribute to DO levels include natural saturation (ca 57-78% in the upper river section and ca 44-76% in the lower river section) and aquatic plant DO production (ca 20-36% in the upper river section and ca 24-50% in the lower river section) which is also significant, while re-aeration would be less effective. The DO contribution from pondweed (family Potamogetonaceae) was of interest because of its successional capacity. Future control of river quality will require suitable management of aquatic plant species for conservation purposes.",,,Water Science & Technology,,,Conservation of Natural Resources; Oxygen; Potamogetonaceae; Rivers; Thailand; Water Quality,2014-02-07,2014,2014-02-07,2014-04-01,69,7,1565-1572,Closed,Article,"Sangmek, Pichasit; Meksumpun, Charumas","Sangmek, Pichasit (Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand); Meksumpun, Charumas (Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok 10900, Thailand)","Meksumpun, Charumas (Kasetsart University)","Sangmek, Pichasit (Kasetsart University); Meksumpun, Charumas (Kasetsart University)",1,0,,0.11,,https://app.dimensions.ai/details/publication/pub.1069146784,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences,
3989,pub.1084349499,10.15585/mmwr.mm6610a6,28301450,PMC5657864,"World Water Day — March 22, 2017","World Water Day is sponsored by the United Nations and observed each year on March 22. This year, World Water Day focuses on wastewater, which includes sewage, storm water, and discarded water used in the community (1). Many developing countries have inadequate wastewater management strategies because they lack resources, infrastructure, available technology, or space. Untreated wastewater in these countries is often disposed of directly into rivers, lakes, or oceans, polluting the environment and increasing the risk for disease transmission (2).",,,MMWR Morbidity and Mortality Weekly Report,,,Anniversaries and Special Events; Conservation of Natural Resources; Humans; United Nations; Water Supply,2017-03-17,2017,2017-03-17,,66,10,284-284,All OA; Bronze,Article,,,,,0,0,,0.0,https://www.cdc.gov/mmwr/volumes/66/wr/pdfs/mm6610a6.pdf,https://app.dimensions.ai/details/publication/pub.1084349499,40 Engineering; 4011 Environmental Engineering,6 Clean Water and Sanitation
3986,pub.1112675844,10.3390/ijerph16050868,30857314,PMC6427382,Sustainable Water Resource Management of Regulated Rivers under Uncertain Inflow Conditions Using a Noisy Genetic Algorithm,"Ecofriendly reservoir operation is an important tool for sustainable water resource management in regulated rivers. Optimization of reservoir operation is potentially affected by the stochastic characteristics of inflows. However, inflow stochastics are not widely incorporated in ecofriendly reservoir operation optimization. The reasons might be that computational cost and unsatisfactory performance are two key issues for reservoir operation under uncertainty inflows, since traditional simulation methods are usually needed to evaluate over many realizations and the results vary between different realizations. To solve this problem, a noisy genetic algorithm (NGA) is adopted in this study. The NGA uses an improved type of fitness function called sampling fitness function to reduce the noise of fitness assessment. Meanwhile, the Monte Carlo method, which is a commonly used approach to handle the stochastic problem, is also adopted here to compare the effectiveness of the NGA. Degree of hydrologic alteration and water supply reliability, are used to indicate satisfaction of environmental flow requirements and human needs. Using the Tanghe Reservoir in China as an example, the results of this study showed that the NGA can be a useful tool for ecofriendly reservoir operation under stochastic inflow conditions. Compared with the Monte Carlo method, the NGA reduces ~90% of the computational time and obtains higher water supply reliability in the optimization.",,"This research was funded by [National Key R&D Program of China] grant number [no. 2017YFC0404506], [National Natural Science Foundation of China] grant number [No. 51709045], [National Science Foundation for Innovative Research Group] grant number [No. 51421065] and [Scientific Research Foundation for High-level Talents and Innovation Team in Dongguan University of Technology] grant number [No. KCYKYQD2016001].",International Journal of Environmental Research and Public Health,,,Algorithms; China; Hydrology; Monte Carlo Method; Reproducibility of Results; Rivers; Uncertainty; Water Resources; Water Supply,2019-03-01,2019,2019-03-09,2019-03-01,16,5,868,All OA; Gold,Article,"Yu, Chunxue; Yin, Xinan; Yang, Zhifeng; Dang, Zhi","Yu, Chunxue (Research Center for Eco-environmental Engineering, Dongguan University of Technology, No 1 Daxue Street, Songshan Lake, Dongguan 523808, China;, yuchunxue121@163.com; School of Environment and Energy, South China University of Technology, University Town, Guangzhou 510006, China;, chzdang@scut.edu.cn); Yin, Xinan (State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, No 19 Xinjiekouwai Street, Beijing 100875, China;, yinxinan@bnu.edu.cn); Yang, Zhifeng (Research Center for Eco-environmental Engineering, Dongguan University of Technology, No 1 Daxue Street, Songshan Lake, Dongguan 523808, China;, yuchunxue121@163.com; State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, No 19 Xinjiekouwai Street, Beijing 100875, China;, yinxinan@bnu.edu.cn); Dang, Zhi (School of Environment and Energy, South China University of Technology, University Town, Guangzhou 510006, China;, chzdang@scut.edu.cn)","Yang, Zhifeng (Dongguan University of Technology; Beijing Normal University)","Yu, Chunxue (Dongguan University of Technology; South China University of Technology); Yin, Xinan (Beijing Normal University); Yang, Zhifeng (Dongguan University of Technology; Beijing Normal University); Dang, Zhi (South China University of Technology)",5,0,0.2,0.86,https://www.mdpi.com/1660-4601/16/5/868/pdf?version=1552117638,https://app.dimensions.ai/details/publication/pub.1112675844,37 Earth Sciences; 3707 Hydrology; 46 Information and Computing Sciences,
3985,pub.1167724884,10.1007/s11356-023-31759-z,38183544,,Response of stream water quality to the vegetation patterns on arid slope: a case study of Huangshui River basin,"Vegetation patterns on slopes strongly affect the water cycle processes in a basin, especially the water yield and confluence in arid areas. Quantifying and evaluating the effects of hydrological change on the migration and transformation of pollutants are challenging. Based on 4-year stream water quality data of 13 monitoring sites in the Huangshui River basin, a typical arid watershed of the Chinese Loess Plateau, the redundancy analysis (RDA) and structural equation modeling (SEM) analysis tools were used to quantify its relationship with vegetation patterns. In the study, land use and the enhanced vegetation index (EVI) were used as a metric of vegetation patterns; accordingly, the 13 catchments were divided into three groups via the cluster analysis, including large (over 80%), medium (70 ~ 80%), and small (below 70%) proportion vegetation patterns (LVP, MVP, SVP). The results of the LVP group showed that vegetation patterns negatively affected the contamination of total phosphorus (TP), ammonia nitrogen (NH3-N), permanganate index (CODMn), and biochemical oxygen demand (BOD5) in the stream water, and the contribution rates were − 0.57. While the proportion of urban area positively correlated with stream water quality in the groups of MVP and SVP, the contribution rates were 0.46 and 0.36, respectively. Moreover, the precipitation in the groups of MVP and SVP negatively correlated with pollutants (− 0.24 and − 0.26). Those results revealed the response of stream water quality to vegetation patterns on the slope with the consideration of precipitation, land use, and socio-economic factors for the regional water and land resource allocation. This study has important management implications for vegetation patterns on slope of fragile ecosystems in arid areas.",,"This work was supported by the National Key Research and Development Project (Grant No. 2022YFC3201705), the National Science Fund Project (Grant No. 52130907), the Major Science and Technology Project of the Ministry of Water Resources of the People's Republic of China (SKS-2022033), and the Five Major Excellent Talent Programs of IWHR (Grant No. WR0199A012021).",Environmental Science and Pollution Research,,,Water Quality; Rivers; Environmental Monitoring; Ecosystem; Environmental Pollutants,2024-01-06,2024,2024-01-06,2024-02,31,6,9167-9182,Closed,Article,"Li, Jian; Liu, Shanshan; Chen, Juan; Zhao, Yan; Abebe, Sintayehu A.; Dong, Biqiong; Wang, Wenyu; Qin, Tianling","Li, Jian (School of Environment, Liaoning University, Shenyang, China; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China); Liu, Shanshan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China); Chen, Juan (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China); Zhao, Yan (Yellow River Engineering Consulting Co., Ltd, Zhengzhou, China); Abebe, Sintayehu A. (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China; Hydraulic and Water Resources Engineering Department, Debre Markos University Institute of Technology, Debre Markos, Ethiopia); Dong, Biqiong (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China); Wang, Wenyu (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China); Qin, Tianling (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China)","Qin, Tianling (China Institute of Water Resources and Hydropower Research)","Li, Jian (Liaoning University; China Institute of Water Resources and Hydropower Research); Liu, Shanshan (China Institute of Water Resources and Hydropower Research); Chen, Juan (China Institute of Water Resources and Hydropower Research); Zhao, Yan (Yellow River Engineering Consulting (China)); Abebe, Sintayehu A. (China Institute of Water Resources and Hydropower Research; Debre Markos University); Dong, Biqiong (China Institute of Water Resources and Hydropower Research); Wang, Wenyu (China Institute of Water Resources and Hydropower Research); Qin, Tianling (China Institute of Water Resources and Hydropower Research)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1167724884,37 Earth Sciences; 3707 Hydrology,15 Life on Land
3984,pub.1114028255,10.3390/ijerph16091610,31071953,PMC6539009,Spatiotemporal Variation of Sediment Export from Multiple Taiwan Watersheds,"Soil erosion and landslide triggered by heavy rainfall are serious problems that have threatened water resources in Taiwan watersheds. This study investigated the relationship among streamflow, sediment load, sediment concentration and typhoon characteristics (path and rainfall amount) during 2000-2017 for nine gauging stations in five basins (Tamshui River basin, Zhuoshui River basin, Zengwen River basin, Gaoping River basin, and Hualien River basin) representing the diverse geomorphologic conditions in Taiwan. The results showed that streamflow and sediment load were positively correlated, and the correlation was improved when the sediment load data were grouped by sediment concentration. Among these basins, the Zhuoshui River basin has the highest unit-discharge sediment load and unit-area sediment load. The soil in the upstream was more erodible than the downstream soil during the normal discharge conditions, indicating its unique geological characteristics and how typhoons magnified sediment export. The spatiotemporal variation in sediment loads from different watersheds was further categorized by typhoons of different paths. Although typhoon path types matter, the Zhuoshui and Hualien River basin were usually impacted by typhoons of any path type. The results indicated that sediment concentration, the watershed soil characteristics, and typhoons paths were the key factors for sediment loads. This study can be useful for developing strategies of soil and water conservation implementation for sustainable watershed management.","We especially thank the Ministry of Science and Technology, Taiwan for the funding.","This research was funded by the Ministry of Science and Technology, Taiwan (MOST 107-2625-M-239-001).",International Journal of Environmental Research and Public Health,,,Conservation of Water Resources; Environmental Monitoring; Geologic Sediments; Rivers; Soil; Taiwan; Water Movements; Water Supply,2019-05-01,2019,2019-05-08,2019-05-01,16,9,1610,All OA; Gold,Article,"Chiang, Li-Chi; Wang, Yung-Chieh; Liao, Ci-Jyun","Chiang, Li-Chi (Department of Civil and Disaster Prevention Engineering, National United University, Miaoli City 36063, Taiwan;, lchiang@nuu.edu.tw, (L.-C.C.);, qaz147e@yahoo.com.tw, (C.-J.L.)); Wang, Yung-Chieh (Department of Soil and Water Conservation, National Chung Hsing University, Taichung 402, Taiwan); Liao, Ci-Jyun (Department of Civil and Disaster Prevention Engineering, National United University, Miaoli City 36063, Taiwan;, lchiang@nuu.edu.tw, (L.-C.C.);, qaz147e@yahoo.com.tw, (C.-J.L.))","Wang, Yung-Chieh (National Chung Hsing University)","Chiang, Li-Chi (Department of Civil and Disaster Prevention Engineering, National United University, Miaoli City 36063, Taiwan;, lchiang@nuu.edu.tw, (L.-C.C.);, qaz147e@yahoo.com.tw, (C.-J.L.)); Wang, Yung-Chieh (National Chung Hsing University); Liao, Ci-Jyun (Department of Civil and Disaster Prevention Engineering, National United University, Miaoli City 36063, Taiwan;, lchiang@nuu.edu.tw, (L.-C.C.);, qaz147e@yahoo.com.tw, (C.-J.L.))",12,10,0.3,2.0,https://www.mdpi.com/1660-4601/16/9/1610/pdf?version=1557302168,https://app.dimensions.ai/details/publication/pub.1114028255,37 Earth Sciences; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,15 Life on Land
3984,pub.1084031170,10.1007/s11356-017-8725-y,28361398,,A two-stage fuzzy chance-constrained water management model,"In this study, an inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method is developed and applied to the water resources management in the Heshui River Basin, Jiangxi Province, China. The optimization model is established by incorporating interval programming, two-stage stochastic programming, and fuzzy gradient chance-constrained programming within an optimization framework. The hybrid model can address uncertainties represented as fuzzy sets, probability distributions, and interval numbers. It can effectively tackle the interactions between pre-regulated economic targets and the associated environmental penalties attributed to water allocation schemes and reflect the tradeoffs between economic revenues and system-failure risk. Furthermore, uncertainties associated with the decision makers’ preferences are considered in decision-making processes. The obtained results can provide decision support for the local sustainable economic development and water resources allocation strategies under multiple uncertainties.","This research was supported by the Natural Science and Engineering Research Council of Canada. The authors are thankful to the editor and anonymous reviewers for their insightful comments, which have significantly contributed to improving the manuscript.",,Environmental Science and Pollution Research,,,"China; Fuzzy Logic; Models, Theoretical; Stochastic Processes; Uncertainty; Water",2017-03-30,2017,2017-03-30,2017-05,24,13,12437-12454,Closed,Article,"Xu, Jiaxuan; Huang, Guohe; Li, Zoe; Chen, Jiapei","Xu, Jiaxuan (Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada); Huang, Guohe (Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada); Li, Zoe (Department of Civil Engineering, McMaster University, L8S 4L8, Hamilton, ON, Canada); Chen, Jiapei (Faculty of Engineering and Applied Science, University of Regina, S4S 0A2, Regina, SK, Canada)","Huang, Guohe (University of Regina)","Xu, Jiaxuan (University of Regina); Huang, Guohe (University of Regina); Li, Zoe (McMaster University); Chen, Jiapei (University of Regina)",27,10,0.59,7.43,,https://app.dimensions.ai/details/publication/pub.1084031170,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics; 49 Mathematical Sciences; 4901 Applied Mathematics,
3983,pub.1155259572,10.1007/s10661-023-11001-6,36754889,,Dynamics of the water environment in a water quantity-quality-soil model of China’s Yellow River basin: imbalance and driving factors,"Abstract
Dynamic assessment of the water environment reflects variations in water resources in a basin under the combined influence of nature and humans and is a prerequisite for rational water management. This study provides an integrated assessment of the water environment in a water quantity-quality-soil model. Using the long-term monthly data from hydrological monitoring stations, the water environment of the Yellow River basin is assessed from the year 2006 to 2019. The kernel density estimation and the Dagum Gini coefficient are used to analyze the spatial and temporal imbalances of the water environment. Geographic detectors are used to extract external driving factors of the unbalanced evolution. The study results reveal that (1) the water environment in the basin shows a fluctuating downward trend, which mainly depends on the organic pollution control indicators, with a contribution of 22.85%. Scores of the water environment in the midstream are lower than those in the upstream and downstream due to the heavy pollutant discharges. (2) The spatial imbalance shows a fluctuating downward trend. Inter-regional variation is the primary source of regional variation in the water environment, with an average contribution of 56.02%. (3) The temporal imbalance of the water environment is on the rise, with a degree of multipolarity. The significant left trailing feature of the kernel density curve suggests that there are areas within the basin where the water environment is extremely poor. (4) For the overall basin and upstream, economic development and technological innovation are the main external driving factors influencing the spatial and temporal imbalances of the water environment. For the midstream and downstream, population density and environmental regulations are the main drivers. The interaction of any two factors has a greater impact than the single one.",We would like to express our sincere thanks to the editors and anonymous reviewers for their constructive comments and suggestions. This work is supported by the “Postgraduate Research &amp; Practice Innovation Program of Jiangsu Province” (grant number KYCX21_0441) and the “Fundamental Research Funds for the Central Universities” (grant numbers B220203024 and B210207027).,This study is supported by the “Postgraduate Research & Practice Innovation Program of Jiangsu Province” (grant number KYCX21_0441) and the “Fundamental Research Funds for the Central Universities” (grant numbers B220203024 and B210207027).,Environmental Monitoring and Assessment,,,Humans; Soil; Environmental Monitoring; Water Quality; Water; China,2023-02-09,2023,2023-02-09,2023-03,195,3,371,Closed,Article,"Yang, Lihua; Xu, Changxin; Zhu, Hongbing; Fu, Tianbo","Yang, Lihua (Department of Management Science and Engineering, School of Business, Hohai University, Nanjing, China); Xu, Changxin (Department of Management Science and Engineering, School of Business, Hohai University, Nanjing, China); Zhu, Hongbing (Department of Finance, School of Business, Hohai University, Focheng West Road 8, Jiangning District, 211100, Nanjing, Jiangsu Province, China); Fu, Tianbo (Department of Management Science and Engineering, School of Business, Hohai University, Nanjing, China)","Zhu, Hongbing (Hohai University)","Yang, Lihua (Hohai University); Xu, Changxin (Hohai University); Zhu, Hongbing (Hohai University); Fu, Tianbo (Hohai University)",3,3,,,,https://app.dimensions.ai/details/publication/pub.1155259572,37 Earth Sciences; 3704 Geoinformatics; 3707 Hydrology,
3980,pub.1148082656,10.1016/j.jenvman.2022.115180,35617857,,Spatially structured freshwater fish population dynamics at the River Basin District scale: Implication for environmental management and fish conservation,"European Union environmental policy has created a unique regulatory framework to favour aquatic ecosystem management and biodiversity conservation across European countries. Identifying the spatial structure of freshwater fish population dynamics is crucial to define region-specific management and conservation planning. To implement evidence-driven management and conservation decisions at a regional scale we assessed spatial heterogeneity in common freshwater fish population dynamics in France with a focus on trends in River Basin Districts (RBDs). The abundance and biomass growth rates of 18 common European freshwater fish species were estimated with state-space models on 546 sites distributed across the 5 main RBDs sampled in France between 1990 and 2011. Anguilla anguilla, Rutilus rutilus, Salmo trutta fario and Esox spp. exhibited large scale decline in abundance and/or biomass in several RBDs. The other species showed spatial heterogeneity in population growth rates. The main declines were observed in the Adour-Garonne and Loire-Bretagne RBDs, where management and conservation measures are urgently needed to halt the erosion of freshwater fish populations. In each of the 5 investigated RBDs, our results highlight areas where most of the common species we studied exhibited negative population growth rates. Freshwater fish surveys provide the fundamental information necessary to inform the European environmental policies and local environmental management needed to restore freshwater biodiversity. The next steps are to identify the main drivers of freshwater biodiversity erosion in the areas where we demonstrated major declines and to define the most cost-effective restoration measures.",The authors are deeply thankful to the people who envisioned the standardized monitoring survey and data collection in France in the 80&#x27;s-90&#x27;s. We would like to thank everyone involved in conducting the field survey since 1990 to whom this work is dedicated. The authors are thankful to the anonymous reviewers and Dr. Laura Goddard for their constructive comments which improved the manuscript.,,Journal of Environmental Management,,,Animals; Biodiversity; Conservation of Natural Resources; Ecosystem; Fishes; Fresh Water; Population Dynamics; Rivers,2022-05-23,2022,2022-05-23,2022-09,317,,115180,Closed,Article,"Santos, Raphaël; Astruc, Guillelme; Poulet, Nicolas; Besnard, Aurélien","Santos, Raphaël (CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France. Electronic address: contact@raphael-santos-aquatic-biologist.com.); Astruc, Guillelme (CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.); Poulet, Nicolas (Pôle Ecohydraulique, Office Français de La Biodiversité; Institut des Mécaniques des Fluides, Toulouse, France.); Besnard, Aurélien (CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.)","Santos, Raphaël (Centre d'Écologie Fonctionnelle et Évolutive)","Santos, Raphaël (Centre d'Écologie Fonctionnelle et Évolutive); Astruc, Guillelme (Centre d'Écologie Fonctionnelle et Évolutive); Poulet, Nicolas (French Biodiversity Agency); Besnard, Aurélien (Centre d'Écologie Fonctionnelle et Évolutive)",2,2,0.69,1.08,,https://app.dimensions.ai/details/publication/pub.1148082656,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,15 Life on Land
3980,pub.1145365660,10.1007/s10661-022-09778-z,35133509,,Assessment of the spatial–temporal distribution of groundwater recharge in data-scarce large-scale African river basin,"The systematic assessment of spatial and temporal distribution of groundwater recharge (GWR) is crucial for the sustainable management of the water resources systems, especially in large-scale river basins. This helps in identifying critical zones in which GWR largely varies and thus leads to negative consequences. However, such analyses might not be possible when the models require detailed hydro-climate and hydrogeological data in data-scarce regions. Hence, this calls for alternate suitable modeling approaches that are applicable with the limited data and, however, includes the detailed assessment of the spatial–temporal distribution of different water balance components especially the GWR component. This paper aimed at investigating the spatial and temporal distribution of the GWR at monthly, seasonal and annual scales using the WetSpass-M physically distributed hydrological model, which is not requiring the detailed catchment information. In addition, the study conducted the sensitivity analysis of model parameters to assess the significant variation of GWR. The large-scale river basins such as the Omo river basin, Ethiopia, were chosen to demonstrate the potential of the WetSpass-M model under limited data conditions. From the modeling results, it was found that the maximum average monthly GWR of 13.4 mm occurs in July. The estimated average seasonal GWR is 32.5 mm/yr and 47.6 mm/yr in the summer and winter seasons, respectively. Further, it was found that GWR is highly sensitive to the parameter such as average rainfall intensity factor.","The authors thank two anonymous reviewers and associate editor for providing the constructive comments which helped significantly improving the quality of the paper. The first author would like to gratify Arba Minch Water Technology Institute (AWTI) and Ministry of Science &amp; Higher Education(MoSHE) for financial support. In addition, the support of OWWCE (Oromia Water Work and Construction Enterprise), SCDSE (South Construction and Design Supervision Enterprise), SWWCE (South Water Work and Construction Enterprise), MoWIE (Ministry of Water Irrigation and Energy, Ethiopia) and ECDSI (Ethiopia Construction and Design supervision Enterprise) are greatly acknowledged for providing the data to conduct this research study.","Ministry of Science and Higher Education, Ethiopia and Water Resources Research Center, Arba Minch University, Ethiopia financially supported this research. [Project code: GOV/AMU/TH31/AWTI/WRRC/01/13].",Environmental Monitoring and Assessment,,,Climate Change; Environmental Monitoring; Groundwater; Hydrology; Rivers,2022-02-08,2022,2022-02-08,2022-03,194,3,157,Closed,Article,"Gelebo, Ayano Hirbo; Kasiviswanathan, K. S.; Khare, Deepak","Gelebo, Ayano Hirbo (Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, 247 667, Roorkee, India; Faculty of Water Resources and Irrigation Engineering, Arba Minch Water Technology Institute, Arba Minch, SNNPR, Ethiopia); Kasiviswanathan, K. S. (Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, 247 667, Roorkee, India); Khare, Deepak (Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, 247 667, Roorkee, India)","Kasiviswanathan, K. S. (Indian Institute of Technology Roorkee)","Gelebo, Ayano Hirbo (Indian Institute of Technology Roorkee; Faculty of Water Resources and Irrigation Engineering, Arba Minch Water Technology Institute, Arba Minch, SNNPR, Ethiopia); Kasiviswanathan, K. S. (Indian Institute of Technology Roorkee); Khare, Deepak (Indian Institute of Technology Roorkee)",13,13,1.03,6.22,,https://app.dimensions.ai/details/publication/pub.1145365660,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
3977,pub.1151703087,10.3390/genes13101790,36292675,PMC9601685,"Genetic Diversity and Population Structure of Hemiculter leucisculus (Basilesky, 1855) in Xinjiang Tarim River","Hemiculter leucisculus is an invasive fish and widely distributed in the Xinjiang Tarim River. In this study, RAD-seq was used to explore the genetic diversity and population subgroup structure of H. leucisculus in the Tarim River and develop relevant Simple Sequence Repeat (SSR) markers. The study collected 40 samples distributed at four different sites of the Tarim River. A total of 7,291,260 single nucleotide polymorphisms (SNPs) were obtained. The genetic diversity results showed that the population genetic diversity level of H. leucisculus was low. The population pairwise FST values ranged from 0.231 to 0.258, indicating that there was moderate genetic differentiation among these populations. AMOVA showed that the genetic variation within populations accounted for 92.31% of the total variation. The principal component analysis (PCA) and neighbor joining (NJ) tree revealed that the four populations could be separated into two clusters (upper-middle and downstream populations) and the individuals from Taitema Lake (TTMH) showed differences and had a bigger geographic distance than the others. There is the probability that the H. leucisculus from Bosten Lake entered Taitema Lake to breed and then expanded into the Tarim River due to the water diversion projects in location. In addition, 147,705 SSRs loci were detected and 22,651 SSR primer pairs were developed. This study will contribute to providing valuable molecular data for the management of wild populations, marker-assisted selection and resource exploitation of H. leucisculus.",,This work was supported by The Finance Special Fund of the Ministry of Agriculture and Rural Affairs “Fisheries Resources and Environment Survey in the Key Water Areas of Northwest China” (No. 2130111).,Genes,,"Lei Zhou, Tao Xiang",Animals; Microsatellite Repeats; Rivers; Cypriniformes; Genetic Variation; Water,2022-10-04,2022,2022-10-04,,13,10,1790,All OA; Gold,Article,"Sun, Siyuan; Hu, Zhenyi; Lu, Zhengyi; Liu, Lu; Liu, Xuan; Zhou, Qiong; Huo, Bin; Li, Dapeng; Tang, Rong","Sun, Siyuan (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Hu, Zhenyi (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Lu, Zhengyi (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Liu, Lu (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Liu, Xuan (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Zhou, Qiong (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Huo, Bin (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Li, Dapeng (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.); Tang, Rong (Hubei Provincial Engineering Laboratory for Pond Aquaculture, College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China.)","Tang, Rong (Huazhong Agricultural University)","Sun, Siyuan (Huazhong Agricultural University); Hu, Zhenyi (Huazhong Agricultural University); Lu, Zhengyi (Huazhong Agricultural University); Liu, Lu (Huazhong Agricultural University); Liu, Xuan (Huazhong Agricultural University); Zhou, Qiong (Huazhong Agricultural University); Huo, Bin (Huazhong Agricultural University); Li, Dapeng (Huazhong Agricultural University); Tang, Rong (Huazhong Agricultural University)",2,2,0.38,1.34,https://www.mdpi.com/2073-4425/13/10/1790/pdf?version=1664873791,https://app.dimensions.ai/details/publication/pub.1151703087,31 Biological Sciences; 3103 Ecology; 3105 Genetics,
3976,pub.1085858297,10.1111/gcb.13743,28578561,,"Continental impacts of water development on waterbirds, contrasting two Australian river basins: Global implications for sustainable water use","The world's freshwater biotas are declining in diversity, range and abundance, more than in other realms, with human appropriation of water. Despite considerable data on the distribution of dams and their hydrological effects on river systems, there are few expansive and long analyses of impacts on freshwater biota. We investigated trends in waterbird communities over 32 years, (1983-2014), at three spatial scales in two similarly sized large river basins, with contrasting levels of water resource development, representing almost a third (29%) of Australia: the Murray-Darling Basin and the Lake Eyre Basin. The Murray-Darling Basin is Australia's most developed river basin (240 dams storing 29,893 GL) while the Lake Eyre Basin is one of the less developed basins (1 dam storing 14 GL). We compared the long-term responses of waterbird communities in the two river basins at river basin, catchment and major wetland scales. Waterbird abundances were strongly related to river flows and rainfall. For the developed Murray-Darling Basin, we identified significant long-term declines in total abundances, functional response groups (e.g., piscivores) and individual species of waterbird (n = 50), associated with reductions in cumulative annual flow. These trends indicated ecosystem level changes. Contrastingly, we found no evidence of waterbird declines in the undeveloped Lake Eyre Basin. We also modelled the effects of the Australian Government buying up water rights and returning these to the riverine environment, at a substantial cost (>3.1 AUD billion) which were projected to partly (18% improvement) restore waterbird abundances, but projected climate change effects could reduce these benefits considerably to only a 1% or 4% improvement, with respective annual recovery of environmental flows of 2,800 GL or 3,200 GL. Our unique large temporal and spatial scale analyses demonstrated severe long-term ecological impact of water resource development on prominent freshwater animals, with implications for global management of water resources.","ACKNOWLEDGEMENTS We thank pilots and observers who provided their skills and dedication over a long period of time. Modelled flows for all major gauges were provided by the Murray–Darling Basin Authority. Data for this project were supported by all the eastern state governments (New South Wales, Queensland, South Australia Victoria) and Australian Government. Analyses were also supported by the Murray–Darling Basin Authority and the Australian Government, under their National Environmental Research Program. Surveys were licensed under UNSW Animal Care and Ethics compliance (licence number 12/116B).",,Global Change Biology,,,Animals; Australia; Biodiversity; Birds; Conservation of Natural Resources; Population Dynamics; Rivers,2017-06-04,2017,2017-06-04,2017-11,23,11,4958-4969,Closed,Article,"Kingsford, Richard T.; Bino, Gilad; Porter, John L.","Kingsford, Richard T. (Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, NSW, Australia); Bino, Gilad (Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, NSW, Australia); Porter, John L. (Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, NSW, Australia; New South Wales Office of Environment and Heritage, Hurstville, NSW, Australia)","Kingsford, Richard T. (UNSW Sydney)","Kingsford, Richard T. (UNSW Sydney); Bino, Gilad (UNSW Sydney); Porter, John L. (UNSW Sydney; New South Wales Department of Planning and Environment)",62,21,0.45,6.39,,https://app.dimensions.ai/details/publication/pub.1085858297,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation,
3975,pub.1164765631,10.1016/j.jenvman.2023.119213,37812899,,Grazing management impacts on ecosystem services under contrasting climatic conditions in Texas and North Dakota,"Grazing management is an important factor affecting the delivery of ecosystem services at the watershed scale. Moreover, characterizing the impacts of climate variation on water resources is essential in managing rangelands. In this study, the effects of alternative grazing management scenarios on provisioning, regulating, and supporting services were assessed in two watersheds with contrasting climates; the Lower Prairie Dog Town Fork Red River (LPDTFR) Watershed in North Texas and the Apple Watershed in South Dakota. The impacts of heavy stocking continuous grazing, light stocking continuous grazing, Adaptive Multi-Paddock (AMP) grazing, and an ungrazed exclosure were compared using the Soil and Water Assessment Tool (SWAT) model. Our results indicate that the quantity of snow and timing of snow melt substantially influenced grazing management effects on ecosystem services in the Apple Watershed. In contrast, precipitation was the main factor influencing these effects in the LPDTFR Watershed because it highly affected the variation in water cycling, streamflow, sediment, and nutrient controls. Simulated results indicated that AMP grazing was the optimal grazing management approach for enhancing water conservation and ecosystem services in both watersheds regardless of climatic conditions. The Apple Watershed, which is a snow-dominated watershed, exhibited greater ecosystem service improvements under AMP grazing (50.6%, 58.7%, 74.4%, 61.5% and 72.6% reduction in surface runoff, streamflow, and sediment, total nitrogen (TN) and total phosphorus (TP) losses, respectively as compared to HC grazing) than the LPDTFR Watershed (46.0%, 22.8%, 34.1%, 18.9% and 38.4% reduction in surface runoff, streamflow, and sediment, TN and TP losses, respectively). Our results suggest that improved grazing management practices enhance ecosystem services and water catchment functions in rangeland-dominated areas, especially in colder climates.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This manuscript is based upon research supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award numbers NIFA-2017-67024-26279 and NIFA-2021-67019-33431. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the view of the U.S. Department of Agriculture.",,Journal of Environmental Management,,,Ecosystem; North Dakota; Texas; Soil; Water,2023-10-07,2023,2023-10-07,2023-12,347,,119213,Closed,Article,"Kim, JungJin; Ale, Srinivasulu; Kreuter, Urs P; Teague, W Richard","Kim, JungJin (Texas A&M AgriLife Research (Texas A&M University System), P.O. Box 1658, Vernon, TX, 76384, USA; Institute of Environmental Technology, Seoul National University of Science & Technology, Seoul, South Korea.); Ale, Srinivasulu (Texas A&M AgriLife Research (Texas A&M University System), P.O. Box 1658, Vernon, TX, 76384, USA. Electronic address: sriniale@ag.tamu.edu.); Kreuter, Urs P (Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA.); Teague, W Richard (Texas A&M AgriLife Research (Texas A&M University System), P.O. Box 1658, Vernon, TX, 76384, USA.)","Ale, Srinivasulu (Texas A&M AgriLife Research (Texas A&M University System), P.O. Box 1658, Vernon, TX, 76384, USA. Electronic address: sriniale@ag.tamu.edu.)","Kim, JungJin (Texas A&M AgriLife Research (Texas A&M University System), P.O. Box 1658, Vernon, TX, 76384, USA; Institute of Environmental Technology, Seoul National University of Science & Technology, Seoul, South Korea.; Seoul National University of Science and Technology); Ale, Srinivasulu (Texas A&M AgriLife Research (Texas A&M University System), P.O. Box 1658, Vernon, TX, 76384, USA. Electronic address: sriniale@ag.tamu.edu.); Kreuter, Urs P (Texas A&M University); Teague, W Richard (Texas A&M AgriLife Research (Texas A&M University System), P.O. Box 1658, Vernon, TX, 76384, USA.)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1164765631,37 Earth Sciences; 3707 Hydrology,
3975,pub.1100695988,10.1016/j.scitotenv.2018.01.223,29426150,,"Probabilistic evaluation of the water footprint of a river basin: Accounting method and case study in the Segura River Basin, Spain","In the current study a method for the probabilistic accounting of the water footprint (WF) at the river basin level has been proposed and developed. It is based upon the simulation of the anthropised water cycle and combines a hydrological model and a decision support system. The methodology was carried out in the Segura River Basin (SRB) in South-eastern Spain, and four historical scenarios were evaluated (1998-2010-2015-2027). The results indicate that the WF of the river basin reached 5581 Mm3/year on average in the base scenario, with a high variability. The green component (3231 Mm3/year), mainly generated by rainfed crops (62%), was responsible for the great variability of the WF. The blue WF (1201 Mm3/year) was broken down into surface water (56%), renewable groundwater (20%) and non-renewable groundwater (24%), and it showed the generalized overexploitation of aquifers. Regarding the grey component (1150 Mm3/year), the study reveals that wastewater, especially phosphates (90%), was the main culprit producing water pollution in surface water bodies. The temporal evolution of the four scenarios highlighted the successfulness of the water treatment plans developed in the river basin, with a sharp decrease in the grey WF, as well as the stability of the WF and its three components in the future. So, the accounting of the three components of the WF in a basin was integrated into the management of water resources, it being possible to predict their evolution, their spatial characterisation and even their assessment in probabilistic terms. Then, the WF was incorporated into the set of indicators that usually is used in water resources management and hydrological planning.","This paper is a result of the research projects 19342/PI/14, funded by “Fundación Séneca - Agencia de Ciencia y Tecnología de la Región de Murcia” in the framework of PCTIRM 2011–2014, and Project AGRISERVI (AGL2015-64411-R), financed by the Spanish Ministry of Economics and Competitiveness (MINECO) and the European Regional Development Fund (ERDF).",,The Science of The Total Environment,,,,2018-01-28,2018,2018-01-28,2018-06,627,,28-38,Closed,Article,"Pellicer-Martínez, Francisco; Martínez-Paz, José Miguel","Pellicer-Martínez, Francisco (Department of Civil Engineering, Catholic University of Murcia (UCAM), Campus de los Jerónimos, Murcia 30107, Spain); Martínez-Paz, José Miguel (Department of Applied Economics, University of Murcia, Campus de Espinardo, 30100 Murcia, Spain; Water and Environment Institute, University of Murcia, Edificio D. Campus de Espinardo, 30100 Murcia, Spain)","Pellicer-Martínez, Francisco (Universidad Católica San Antonio de Murcia)","Pellicer-Martínez, Francisco (Universidad Católica San Antonio de Murcia); Martínez-Paz, José Miguel (University of Murcia; University of Murcia)",31,10,0.63,5.04,,https://app.dimensions.ai/details/publication/pub.1100695988,37 Earth Sciences; 3707 Hydrology,13 Climate Action; 6 Clean Water and Sanitation
3965,pub.1084509309,10.1371/journal.pone.0174957,28369136,PMC5378399,Water matters: An assessment of opinion on water management and community engagement in the Republic of Ireland and the United Kingdom,"Internationally, water management is moving from the traditional top-down approach to more integrated initiatives focussing on community-led action. With inadequacies in previous engagement initiatives undertaken through the first cycle of River Basin Management Planning for the EU Water Framework Directive (WFD), the Republic of Ireland has only recently embraced this bottom-up approach. The attempted introduction of national charging for domestic water use in 2015 has resulted in significant public disquiet and protest movements against the national government. In April 2015 we undertook a survey of current opinion on water management and community engagement initiatives in the Republic of Ireland and the United Kingdom. A total of 520 survey responses identified that although freshwater bodies are important in peoples' lives, respondents were typically unaware of global initiatives such as Integrated Water Resources Management and Integrated Catchment Management. Overall, 81% of respondents did not feel included in decisions about their water environment despite an overwhelming 95% believing that local communities should have a say in how the water environment is managed. However, only 35.1% of respondents stated that they would be willing to attend local water management engagement initiatives. Rather than supporting individual gain, respondents identified social gains for the local community as avenues for increasing local involvement in water initiatives. In the Republic of Ireland, a water engagement initiative that implements the national framework local delivery model should be developed and implemented. This would 1) contribute to the second round of WFD River Basin Management Planning; 2) facilitate stronger connections between local communities and their water environment; and 3) foster bottom-up initiatives that empower communities regarding local water management issues.","This work was supported by Environmental Protection Agency of Ireland. Grant Number 2014-W-DS-20. www.epa.ie. The authors would like to acknowledge the contribution of the Towards Integrated Water Management Project Steering Committee, comprising Professor Ken Irvine, Dr. Martin McGarrigle, Dr. Serena Keene, Dr. Marie Archbold and Mr Paddy Morris. The authors also thank Dr. David Getty for his contribution to the design of this survey.",This work was supported by Environmental Protection Agency of Ireland. Grant Number 2014-W-DS-20. www.epa.ie.,PLOS ONE,,Steven Arthur Loiselle,Conservation of Natural Resources; Decision Making; Drinking Water; Ecosystem; Environment; Environmental Monitoring; Fresh Water; Ireland; Surveys and Questionnaires; United Kingdom,2017-04-03,2017,2017-04-03,,12,4,e0174957,All OA; Gold,Article,"Rolston, Alec; Jennings, Eleanor; Linnane, Suzanne","Rolston, Alec (Centre for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, County Louth, Ireland); Jennings, Eleanor (Centre for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, County Louth, Ireland); Linnane, Suzanne (Centre for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, County Louth, Ireland)","Rolston, Alec (Dundalk Institute of Technology)","Rolston, Alec (Dundalk Institute of Technology); Jennings, Eleanor (Dundalk Institute of Technology); Linnane, Suzanne (Dundalk Institute of Technology)",19,10,0.14,6.99,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0174957&type=printable,https://app.dimensions.ai/details/publication/pub.1084509309,38 Economics; 3801 Applied Economics; 44 Human Society,6 Clean Water and Sanitation
3964,pub.1104328415,10.1007/s11356-018-2316-4,29855886,,Study of ecological compensation in complex river networks based on a mathematical model,"Transboundary water pollution has resulted in increasing conflicts between upstream and downstream administrative districts. Ecological compensation is an efficient means of restricting pollutant discharge and achieving sustainable utilization of water resources. The tri-provincial region of Taihu Basin is a typical river networks area. Pollutant flux across provincial boundaries in the Taihu Basin is hard to determine due to complex hydrologic and hydrodynamic conditions. In this study, ecological compensation estimation for the tri-provincial area based on a mathematical model is investigated for better environmental management. River discharge and water quality are predicted with the one-dimensional mathematical model and validated with field measurements. Different ecological compensation criteria are identified considering the notable regional discrepancy in sewage treatment costs. Finally, the total compensation payment is estimated. Our study indicates that Shanghai should be the receiver of payment from both Jiangsu and Zhenjiang in 2013, with 305 million and 300 million CNY, respectively. Zhejiang also contributes more pollutants to Jiangsu, and the compensation to Jiangsu is estimated as 9.3 million CNY. The proposed ecological compensation method provides an efficient way for solving the transboundary conflicts in a complex river networks area and is instructive for future policy-making.",,This work was supported by the National Water Special Project of China (2012ZX07506-007).,Environmental Science and Pollution Research,,,"China; Conservation of Water Resources; Models, Economic; Models, Theoretical; Rivers; Sewage; Waste Disposal, Fluid; Water Pollution; Water Quality",2018-05-31,2018,2018-05-31,2018-08,25,23,22861-22871,Closed,Article,"Wang, Xiao; Shen, Chunqi; Wei, Jun; Niu, Yong","Wang, Xiao (HYDROCHINA Huadong Engineering Corporation Ltd, 311122, Hangzhou, China); Shen, Chunqi (Chesapeake Biological Lab, University of Maryland Center for Environmental Science, 20688, Solomons, MD, USA); Wei, Jun (HYDROCHINA Huadong Engineering Corporation Ltd, 311122, Hangzhou, China); Niu, Yong (Institute of Urban Environment, Chinese Academy of Sciences, 361021, Xiamen, China)","Shen, Chunqi (University of Maryland Center for Environmental Sciences)","Wang, Xiao (Powerchina Huadong Engineering Corporation (China)); Shen, Chunqi (University of Maryland Center for Environmental Sciences); Wei, Jun (Powerchina Huadong Engineering Corporation (China)); Niu, Yong (Institute of Urban Environment)",14,7,0.74,2.19,,https://app.dimensions.ai/details/publication/pub.1104328415,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,
3964,pub.1170132830,10.1155/2024/7195596,38566625,PMC10985277,"Ecological Insights, and Fin Fish Diversity in Carps Spawning Grounds: Case Studies from the Surma River and Tanguar Haor, Bangladesh","This study aims to provide a thorough ecological understanding of fin fish diversity within carp spawning grounds in the Surma River and Tanguar haor. Over two spawning seasons, this research investigates ecological factors impacting fin fish diversity and abundance in carp spawning grounds of the Surma River and Tanguar haor, emphasizing water quality, habitat features, spawn availability, and environmental influences. Fish spawn samples were collected with eight ""Savar nets"" at chosen sites and reared in a fiberglass tank at the mini hatchery for species identification. The representative spawn samples were examined under a microscope for preliminary species identification before rearing. The study found that both the Surma River and Tanguar haor offer ideal conditions for carp spawning due to factors such as water quality, natural food availability, habitat suitability, and favorable climatic conditions. The study identified 39 fish species under the 10 fish groups from both locations, with a higher percentage of carp species (31.42%) in the Surma River in 2021 compared to 2022 (22.50%). In Tanguar haor, the percentage of carp species was 7.55% and 6.50% in 2021 and 2022, respectively. The Surma River's ecological indices (2021-2022) indicated decreased diversity, likely due to environmental degradation, while Tanguar haor showed lower diversity possibly attributable to multiple environmental stressors. The dominant carp species, Labeo calbasu, Labeo bata, and Labeo gonius, were identified in both the Surma River and Tanguar haor. The spawning distribution varied among different locations, with some sites showing a presence of carp species, such as Hajipur (T1) in the Surma River and Alam Duar (T2) in Tanguar haor. The findings highlight the importance of hydrological and environmental parameters in shaping carp spawning habitat distribution and abundance, contributing to aquatic biodiversity conservation and resource management.","The authors are grateful to the respondents, their families, the development workers, fishers, spawn collectors, fry nursery owners, and other parties involved directly or indirectly in this field research. The research is funded by the Bangladesh Academy of Sciences (BAS-USDA Project, ID: 4th Phase BAS-USDA KG FI-20).",,Scientifica,,Chengcheng Xia,,2024-03-25,2024,2024-03-25,2024-03-25,2024,,7195596,All OA; Gold,Article,"Akther, Kazi Rabeya; Hossain, Mohammad Amzad; Mian, Sohel; Roy, Nirmal Chandra","Akther, Kazi Rabeya (Laboratory of Aquatic Biodiversity and Ecophysiology, Department of Fish Biology and Genetics, Faculty of Fisheries, Sylhet Agricultural University, Sylhet 3100, Bangladesh, sau.ac.bd); Hossain, Mohammad Amzad (Laboratory of Aquatic Biodiversity and Ecophysiology, Department of Fish Biology and Genetics, Faculty of Fisheries, Sylhet Agricultural University, Sylhet 3100, Bangladesh, sau.ac.bd); Mian, Sohel (Laboratory of Aquatic Biodiversity and Ecophysiology, Department of Fish Biology and Genetics, Faculty of Fisheries, Sylhet Agricultural University, Sylhet 3100, Bangladesh, sau.ac.bd); Roy, Nirmal Chandra (Laboratory of Aquatic Biodiversity and Ecophysiology, Department of Fish Biology and Genetics, Faculty of Fisheries, Sylhet Agricultural University, Sylhet 3100, Bangladesh, sau.ac.bd)","Roy, Nirmal Chandra (Sylhet Agricultural University)","Akther, Kazi Rabeya (Sylhet Agricultural University); Hossain, Mohammad Amzad (Sylhet Agricultural University); Mian, Sohel (Sylhet Agricultural University); Roy, Nirmal Chandra (Sylhet Agricultural University)",0,0,,,https://downloads.hindawi.com/journals/scientifica/2024/7195596.pdf,https://app.dimensions.ai/details/publication/pub.1170132830,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences; 31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management",15 Life on Land
3963,pub.1150928508,10.1016/j.heliyon.2022.e10584,36132185,PMC9483589,"Temporal distribution of fishery resources in Payra River: relationship with climatological changes, ecological assessment, and threat assessment","The Payra river is one of the large coastal rivers in Bangladesh which supports incredible fish species and has been affected by extensive human disturbance due to huge fishing pressure. The present study provides information about the temporal diversity of finfish and shellfish concerning climatological variables and ecological pollution along with threat assessment in the Payra river, Bangladesh. During the entire study, a total of 61 species including 56 finfish and 5 shellfish species were recorded under 22 families belonging to 11 orders. The order-wise fish species availability showed that the Perciformes (29.49%) was the dominant order based on species richness. Among them, 4 endangered, 6 vulnerable, 4 near threatened, 42 least concern, and 5 data deficient species were found. During the study period, the average Shannon-Weaver diversity index value was (3.33 ± 0.12) indicating a good spread of fish population in the Payra river. Average Margalef richness index value was found (7.60 ± 0.32), Pielou's evenness index (0.48 ± 0.05), and Simpson dominance index (0.93 ± 0.02) in the Payra river. The dominance and Richness index value indicates a clear water environment with slight pollution in the Payra river. Ten different kinds of fishing gears were identified under 3 major groups including 5 nets, 3 hooks and lines, and 2 traps. Canonical correspondence analysis ordination plot showed that rainfall was the most influencing driving force among the meteorological parameters. The cluster analysis based on the Bray-Curtis similarity matrix showed that the winter season formed a separate cluster. In the recapitulation, the Payra river is a highly productive system that provides a favorable environment for a large variety of finfish and shellfish species assemblages. The findings of the conducted study are expected to be helpful for the respective researchers, policymakers, managers, and conservationists for the sustainable management of this water body and the interconnected surrounding neighboring countries.",The authors thank local fishermen for assisting in the data collection of the experiments.,"Nitai Roy was supported by Ministry of Science and Technology (MoST) of Bangladesh under special allocation [SL-66, BS-279].",Heliyon,,,,2022-09-12,2022,2022-09-12,2022-09,8,9,e10584,All OA; Gold,Article,"Rahat, Asikur Rahaman; Roy, Nitai; Manon, Rased Khan; Ullah, Rahamat; Islam, M. Muhsinul; Rashid, Tareq; Hasan, Khandakar Rakibul; Chakma, Suprakash; Rahman, Arifur","Rahat, Asikur Rahaman (Department of Fisheries Biology and Genetics, Faculty of Fisheries, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh); Roy, Nitai (Department of Biochemistry and Food Analysis, Faculty of Nutrition and Food Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh); Manon, Rased Khan (Faculty of Fisheries, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh); Ullah, Rahamat (Department of Fisheries Biology and Genetics, Faculty of Fisheries, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh; Riverine Sub-Station, Bangladesh Fisheries Research Institute, Khepupara, Patuakhali, 650, Bangladesh); Islam, M. Muhsinul (Faculty of Fisheries, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh); Rashid, Tareq (Faculty of Fisheries, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh); Hasan, Khandakar Rakibul (Faculty of Fisheries, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh); Chakma, Suprakash (Department of Fisheries Technology, Patuakhali Science and Technology University, Patuakhali, 8602, Bangladesh); Rahman, Arifur (Department of Fisheries Biology and Genetics, Faculty of Fisheries, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh)","Rahman, Arifur (Patuakhali Science and Technology University)","Rahat, Asikur Rahaman (Patuakhali Science and Technology University); Roy, Nitai (Patuakhali Science and Technology University); Manon, Rased Khan (Patuakhali Science and Technology University); Ullah, Rahamat (Patuakhali Science and Technology University; Bangladesh Fisheries Research Institute); Islam, M. Muhsinul (Patuakhali Science and Technology University); Rashid, Tareq (Patuakhali Science and Technology University); Hasan, Khandakar Rakibul (Patuakhali Science and Technology University); Chakma, Suprakash (Patuakhali Science and Technology University); Rahman, Arifur (Patuakhali Science and Technology University)",5,5,0.69,3.09,https://doi.org/10.1016/j.heliyon.2022.e10584,https://app.dimensions.ai/details/publication/pub.1150928508,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,14 Life Below Water
3963,pub.1146255222,10.1007/s11356-022-19300-0,35287188,,Surface water sodium (Na+) concentration prediction using hybrid weighted exponential regression model with gradient-based optimization,"Abstract
Undeniably, there is a link between water resources and people’s lives and, consequently, economic development, which makes them vital in health and the environment. Proper water quality forecasting time series has a crucial role in giving on-time warnings for water pollution and supporting the decision-making of water resource management. The principal aim of this study is to develop a novel and cutting-edge ensemble data intelligence model named the weighted exponential regression and hybridized by gradient-based optimization (WER-GBO). Indeed, this is to reach more meticulous sodium (Na+) prediction monthly at Maroon River in the southwest of Iran. This developed model has advantages over other previous methodologies thanks to the following merits: (i) it can improve the performance and ability by mixing the outputs of four distinct data intelligence (DI) models, i.e., adaptive neuro-fuzzy inference system (ANFIS), least square support vector regression (LSSVM), Bayesian linear regression (BLR), and response surface regression (RSR); (ii) the proposed model can employ a Cauchy weighted function combined with an exponential-based regression model being optimized by GBO algorithm. To evaluate the performance of these models, diverse statistical indices and graphical assessment including error distributions, box plots, scatter-plots with confidence bounds and Taylor diagrams were conducted. According to obtained statistical metrics and verified validation procedures, the proposed WER-GBO resulted in promising accuracy compared to other models. Furthermore, the outcomes revealed the WER-GBO (R = 0.9712, RMSE = 0.639, and KGE = 0.948) reached more accurate and reliable results than other methods such as the ANFIS, LSSVM, BLR, and RSR for Na prediction in this study. Hence, the WER-GBO model can be considered a constructive technique to forecast the water quality parameters.",,,Environmental Science and Pollution Research,,,Bayes Theorem; Fuzzy Logic; Humans; Linear Models; Rivers; Sodium; Water Quality,2022-03-14,2022,2022-03-14,2022-07,29,35,53456-53481,Closed,Article,"Ahmadianfar, Iman; Shirvani-Hosseini, Seyedehelham; Samadi-Koucheksaraee, Arvin; Yaseen, Zaher Mundher","Ahmadianfar, Iman (Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran); Shirvani-Hosseini, Seyedehelham (Department of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran); Samadi-Koucheksaraee, Arvin (Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran); Yaseen, Zaher Mundher (Adjunct Research Fellow, USQ’s Advanced Data Analytics Research Group, School of Mathematics Physics and Computing, University of Southern Queensland, 4350, Queensland, QLD, Australia; New Era and Development in Civil Engineering Research Group, Scientific Research Center, Al-Ayen University, 64001, Thi-Qar, Iraq; Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Kompleks Al-Khawarizmi, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia)","Yaseen, Zaher Mundher (University of Southern Queensland; Al-Ayen University; Universiti Teknologi MARA)","Ahmadianfar, Iman (Behbahan Khatam Alanbia University of Technology); Shirvani-Hosseini, Seyedehelham (Islamic Azad University, Science and Research Branch); Samadi-Koucheksaraee, Arvin (Behbahan Khatam Alanbia University of Technology); Yaseen, Zaher Mundher (University of Southern Queensland; Al-Ayen University; Universiti Teknologi MARA)",17,17,1.59,7.31,,https://app.dimensions.ai/details/publication/pub.1146255222,37 Earth Sciences; 3701 Atmospheric Sciences; 46 Information and Computing Sciences,
3963,pub.1167346775,10.1016/j.marpolbul.2023.115951,38150976,,Predictions of heavy metal concentrations by physiochemical water quality parameters in coastal areas of Yangtze river estuary,"Due to the degradation-resistant and strong toxicity, heavy metals pose a serious threat to the safety of water environment and aquatic ecology. Rapid acquisition and prediction of heavy metal concentrations are of paramount importance for water resource management and environmental preservation. In this study, heavy metal concentrations (Cr, Ni, Cu, Pb, Zn, Cd) and physicochemical parameters of water quality including Temperature (Temp), pH, Oxygen redox potential (ORP), Dissolved oxygen (DO), Electrical conductivity (EC), Electrical resistivity (RES), Total dissolved solids (TDS), Salinity (SAL), Cyanobacteria (BGA-PE), and turbidity (NTU) were measured at seven stations in the Yangtze river estuary. Principal Component Analysis (PCA) and Spearman correlation analysis were employed to analyze the main factors and sources of heavy metals. Results of PCA revealed that the main sources of Cr, Ni, Zn, and Cd were steel industry wastewater, domestic and industrial sewage, whereas shipping and vessel emissions were typically considered sources of Pb and Cu. Spearman correlation analysis identified Temp, pH, ORP, EC, RES, TDS, and SAL as the key physicochemical parameters of water quality, exhibiting the strongest correlation with heavy metal concentrations in sediment and water samples. Based on these results, multiple linear regression as well as non-linear models (SVM and RF) were constructed for predicting heavy metal concentrations. The results showed that the results of the nonlinear model were more suitable for predicting the concentrations of most heavy metals than the linear model, with average R values of the SVM test set and RF test set being 0.83 and 0.90. The RF model showed better applicability for simulating the concentration of heavy metals along the Yangtze river estuary. It was demonstrated that non-linear research methods provided efficient and accurate predictions of heavy metal concentrations in a simple and rapid manner, thereby offering decision-making support for watershed managers.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgement This study was funded by the National Natural Science Foundation of China (42072281, 41602244), Shanghai Science and Technology Innovation Projects (22230712900, 22ZR1464200, 20230742500), the Fundamental Research Funds for the Central Universities (22120210576), Top Discipline Plan of Shanghai Universities-Class I (2022-3-YB-03), and Interdisciplinary Project in Ocean Research of Tongji University (2022-2-YB-01).",,Marine Pollution Bulletin,,,"Water Quality; Estuaries; Environmental Monitoring; Rivers; Cadmium; Lead; Water Pollutants, Chemical; Metals, Heavy; Oxygen; China; Geologic Sediments; Risk Assessment",2023-12-26,2023,2023-12-26,2024-02,199,,115951,Closed,Article,"Zou, Yuwen; Lou, Sha; Zhang, Zhirui; Liu, Shuguang; Zhou, Xiaosheng; Zhou, Feng; Radnaeva, Larisa Dorzhievna; Nikitina, Elena; Fedorova, Irina Viktorovna","Zou, Yuwen (Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China.); Lou, Sha (Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China. Electronic address: lousha@tongji.edu.cn.); Zhang, Zhirui (Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China.); Liu, Shuguang (Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai 200092, China.); Zhou, Xiaosheng (Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China.); Zhou, Feng (Department of Hydraulic Engineering, Tongji University, Shanghai 200092, China.); Radnaeva, Larisa Dorzhievna (Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian branch of the Russian Academy of Sciences, Republic of Buryatia, Russia.); Nikitina, Elena (Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian branch of the Russian Academy of Sciences, Republic of Buryatia, Russia.); Fedorova, Irina Viktorovna (Institute of Earth Sciences, Saint Petersburg State University, 199034, 7-9 Universitetskaya Embankment, St Petersburg, Russia.)","Lou, Sha (Tongji University)","Zou, Yuwen (Tongji University); Lou, Sha (Tongji University); Zhang, Zhirui (Tongji University); Liu, Shuguang (Tongji University); Zhou, Xiaosheng (Tongji University); Zhou, Feng (Tongji University); Radnaeva, Larisa Dorzhievna (Baikal Institute of Nature Management); Nikitina, Elena (Baikal Institute of Nature Management); Fedorova, Irina Viktorovna (St Petersburg University)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1167346775,41 Environmental Sciences; 4104 Environmental Management; 4105 Pollution and Contamination,
3962,pub.1133538987,10.1038/s41598-020-78563-0,33328517,PMC7744518,Water quality assessment based on multivariate statistics and water quality index of a strategic river in the Brazilian Atlantic Forest,"Fifty-four water samples were collected between July and December 2019 at nine monitoring stations and fifteen parameters were analysed to provide an updated diagnosis of the Piabanha River water quality. Further, forty years of monitoring were analysed, including government data and previous research projects. A georeferenced database was also built containing water management data. The Water Quality Index from the National Sanitation Foundation (WQINSF) was calculated using two datasets and showed an improvement in overall water quality, despite still presenting systematic violations to Brazilian standards. Principal components analysis (PCA) showed the most contributing parameters to water quality and enabled its association with the main pollution sources identified in the geodatabase. PCA showed that sewage discharge is still the main pollution source. The cluster analysis (CA) made possible to recommend the monitoring network optimization, thereby enabling the expansion of the monitoring to other rivers. Finally, the diagnosis provided by this research establishes the first step towards the Framing of water resources according to their intended uses, as established by the Brazilian National Water Resources Policy.","We thank the Piabanha Committee for financially support our research. We also thank Juliana Pereira Dias for helping with statistical analysis, Renata Demori Costa and Jamie Sweeney for the english review.",,Scientific Reports,,,,2020-12-16,2020,2020-12-16,,10,1,22038,All OA; Gold,Article,"de Andrade Costa, David; Soares de Azevedo, José Paulo; dos Santos, Marco Aurélio; dos Santos Facchetti Vinhaes Assumpção, Rafaela","de Andrade Costa, David (Federal University of Rio de Janeiro (UFRJ), Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research (COPPE), Centro Tecnológico, Cidade Universitária, Rio de Janeiro, RJ, Brazil; Federal Fluminense Institute, São João da Barra Advanced Campus, BR 356, KM 181, São João da Barra, RJ, Brazil); Soares de Azevedo, José Paulo (Federal University of Rio de Janeiro (UFRJ), Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research (COPPE), Centro Tecnológico, Cidade Universitária, Rio de Janeiro, RJ, Brazil); dos Santos, Marco Aurélio (Federal University of Rio de Janeiro (UFRJ), Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research (COPPE), Centro Tecnológico, Cidade Universitária, Rio de Janeiro, RJ, Brazil); dos Santos Facchetti Vinhaes Assumpção, Rafaela (Oswaldo Cruz Foundation (Fiocruz), National School of Public Health Sergio Arouca (ENSP), Rua Leopoldo Bulhões, 1.480, Manguinhos, Rio de Janeiro, RJ, Brazil)","de Andrade Costa, David (Federal University of Rio de Janeiro; Federal Fluminense Institute, São João da Barra Advanced Campus, BR 356, KM 181, São João da Barra, RJ, Brazil); Soares de Azevedo, José Paulo (Federal University of Rio de Janeiro)","de Andrade Costa, David (Federal University of Rio de Janeiro; Federal Fluminense Institute, São João da Barra Advanced Campus, BR 356, KM 181, São João da Barra, RJ, Brazil); Soares de Azevedo, José Paulo (Federal University of Rio de Janeiro); dos Santos, Marco Aurélio (Federal University of Rio de Janeiro); dos Santos Facchetti Vinhaes Assumpção, Rafaela (Oswaldo Cruz Foundation)",40,34,3.07,8.69,https://www.nature.com/articles/s41598-020-78563-0.pdf,https://app.dimensions.ai/details/publication/pub.1133538987,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,6 Clean Water and Sanitation
3959,pub.1167361750,10.1016/j.jgar.2023.12.016,38154747,,Multidrug-resistant pathogens contaminate river water used in irrigation in disenfranchised communities,"OBJECTIVES: The contamination of fresh surface waters poses a significant burden on human health and prosperity, especially in marginalized communities with limited resources and inadequate infrastructure. Here, we performed in-depth genomic analyses of multidrug-resistant bacteria (MDR-B) isolated from Al-Oueik river water that is used for irrigation of agricultural fields in a disenfranchised area that also hosts a makeshift Syrian refugee camp.
METHODS: A composite freshwater sample was filtered. Faecal coliforms were counted and extended spectrum cephalosporins and/or ertapenem resistant bacteria were screened. Isolates were identified using MALDI-TOF-MS and analysed using whole-genome sequencing (WGS) to identify the resistome, sequence types, plasmid types, and virulence genes.
RESULTS: Approximately 106 CFU/100 mL of faecal coliforms were detected in the water. Four drug-resistant Gram-negative bacteria were identified, namely Escherichia coli, Klebsiella pneumoniae, Enterobacter hormaechei, and Pseudomonas otitidis. Notably, the E. coli isolate harboured blaNDM-5 and a YRIN-inserted PBP3, representing an emerging public health challenge. The K. pneumoniae isolate carried blaSHV-187 as well as mutations in the gene encoding the OmpK37 porin. Enterobacter hormaechei and P. otitidis harboured blaACT-16 and blaPOM-1, respectively.
CONCLUSION: This report provides comprehensive genomic analyses of MDR-B in irrigation water in Lebanon. Our results further support that irrigation water contaminated with faecal material can be a reservoir of important MDR-B, which can spread to adjacent agricultural fields and other water bodies, posing both public health and food safety issues. Therefore, there is an urgent need to implement effective water quality monitoring and management programs to control the proliferation of antibiotic-resistant pathogens in irrigation water in Lebanon.","Funding: Marwan Osman and Dina Daaboul are supported by the Atkinson Postdoctoral Fellowship (Cornell University) and SAFAR Doctoral Scholarship (Lebanese University and French Embassy in Lebanon), respectively. The donors and funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: None declared. Acknowledgments: We would like to thank the Union of Relief and Development Associations (URDA) and Abdul Rahman Darwish for their invaluable support in the field work. We are particularly grateful to Tony Serhal, Ahmad Hamze, and Ahmad Kamalledine for their expertise and contribution in identifying the geographical characteristics of this river. Moreover, we would like to thank Dalal Kasir, Nesrine Hassoune, Nour Osman, Souad Fayad, Aya Yassine, and Rayane Salma for their technical support.","Funding: Marwan Osman and Dina Daaboul are supported by the Atkinson Postdoctoral Fellowship (Cornell University) and SAFAR Doctoral Scholarship (Lebanese University and French Embassy in Lebanon), respectively. The donors and funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",Journal of Global Antimicrobial Resistance,,,Humans; Escherichia coli; Rivers; Enterobacter; Plasmids; Klebsiella pneumoniae; Gram-Negative Bacteria,2023-12-27,2023,2023-12-27,2024-03,36,,175-180,All OA; Gold,Article,"Osman, Marwan; Daaboul, Dina; Tajani, Anahita Ghorbani; El Omari, Khaled; Bisha, Bledar; Hassan, Jouman; Cazer, Casey L; Fiorella, Kathryn J; Karah, Nabil; Abbara, Aula; Hamze, Monzer; Cummings, Kevin J; Naas, Thierry; Kassem, Issmat I","Osman, Marwan (Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut; Cornell Atkinson Center for Sustainability, Cornell University, Ithaca, New York; Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York. Electronic address: marwan.osman@yale.edu.); Daaboul, Dina (Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon; Team 'Resist' UMR1184, 'Immunology of Viral, Auto-Immune, Hematological and Bacterial diseases (IMVA-HB', INSERM, Université Paris-Saclay, CEA, LabEx LERMIT, Faculty of Medicine, Le Kremlin-Bicêtre, France.); Tajani, Anahita Ghorbani (Department of Animal Science, University of Wyoming, Laramie, Wyoming.); El Omari, Khaled (Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon; Quality Control Center Laboratories at the Chamber of Commerce, Industry & Agriculture of Tripoli & North Lebanon, Tripoli, Lebanon.); Bisha, Bledar (Department of Animal Science, University of Wyoming, Laramie, Wyoming.); Hassan, Jouman (Center for Food Safety and Department of Food Science and Technology, University of Georgia, Griffin, Georgia.); Cazer, Casey L (Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York; Department of Population Medicine & Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, New York.); Fiorella, Kathryn J (Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York.); Karah, Nabil (Department of Molecular Biology and Umeå Centre for Microbial Research, Umeå University, Umeå, Sweden.); Abbara, Aula (Department of Infection, Imperial College, St Marys Hospital, London, Syria Public Health Network, London, United Kingdom.); Hamze, Monzer (Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.); Cummings, Kevin J (Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York.); Naas, Thierry (Team 'Resist' UMR1184, 'Immunology of Viral, Auto-Immune, Hematological and Bacterial diseases (IMVA-HB', INSERM, Université Paris-Saclay, CEA, LabEx LERMIT, Faculty of Medicine, Le Kremlin-Bicêtre, France; Bacteriology-Hygiene Unit, Assistance Publique-Hôpitaux de Paris, AP-HP Paris-Saclay, Bicêtre Hospital Le Kremlin-Bicêtre, France; Associated French National Reference Center for Antibiotic Resistance: Carbapenemase-Producing Enterobacteriaceae, Le Kremlin-Bicêtre, France.); Kassem, Issmat I (Center for Food Safety and Department of Food Science and Technology, University of Georgia, Griffin, Georgia.)","Osman, Marwan (Yale University; Cornell University; New York State College of Veterinary Medicine)","Osman, Marwan (Yale University; Cornell University; New York State College of Veterinary Medicine); Daaboul, Dina (Lebanese University; Inserm); Tajani, Anahita Ghorbani (University of Wyoming); El Omari, Khaled (Lebanese University; Laboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon; Quality Control Center Laboratories at the Chamber of Commerce, Industry & Agriculture of Tripoli & North Lebanon, Tripoli, Lebanon.); Bisha, Bledar (University of Wyoming); Hassan, Jouman (University of Georgia); Cazer, Casey L (New York State College of Veterinary Medicine); Fiorella, Kathryn J (New York State College of Veterinary Medicine); Karah, Nabil (Umeå University); Abbara, Aula (St Mary's Hospital; Imperial College London); Hamze, Monzer (Lebanese University); Cummings, Kevin J (New York State College of Veterinary Medicine); Naas, Thierry (Inserm; Assistance Publique - Hôpitaux de Paris; CNR de la Résistance aux Antibiotiques); Kassem, Issmat I (University of Georgia)",0,0,,,https://doi.org/10.1016/j.jgar.2023.12.016,https://app.dimensions.ai/details/publication/pub.1167361750,32 Biomedical and Clinical Sciences; 3202 Clinical Sciences; 3207 Medical Microbiology,2 Zero Hunger; 6 Clean Water and Sanitation
3959,pub.1164977436,10.1007/s11356-023-30157-9,37848789,,"Groundwater hydrogeochemistry and non-carcinogenic health risk assessment in major river basins of Punjab, India","The Indian Punjab state is drained by the four rivers, along with a well-connected network of canals, and is now dealing with a slew of water quality issues and problems. In this study, basin-wise hydrogeochemical modelling of 323 groundwater samples and identification of NO3– and F– enrichment pathways in aquifer systems of Punjab were studied using different plots and multivariate statistics. To evaluate the groundwater quality and human health risks, an entropy-based water quality index and Monte Carlo simulation were used, respectively. Spatial distribution of NO3– indicated that its very high values were prominent in parts of southwestern Punjab falling under LSRB, along with few pockets in eastern and northeastern Punjab falling under MSRB and GRB. High NO3– values (> 45.0 mg/L) were found in 15.0% of Ravi River Basin (RRB) groundwater samples, 22.86% of Beas River Basin (BRB), 23.52% of Middle Sutlej River Basin (MSRB), 36.9% of Lower Sutlej River Basin (LSRB), and 21.31% of Ghaggar River Basin (GRB). The spatial distribution of NO3– revealed elevated concentrations (> 100 mg/L) in the southwestern part of Punjab, particularly in LSRB and localized pockets in the eastern and northeastern areas of Punjab within MSRB and GRB. High F– concentration (> 1.5 mg/L) was observed in 15.12% and 21.31% groundwater samples of LSRB and GRB, respectively. Spatially southern parts falling under LSRB and GRB reflected high F– content (> 1.5 mg/L) in groundwater. In LSRB, evaporative and anthropogenic processes influence the groundwater quality. The results of interionic relationships and statistical analysis revealed that NO3– has anthropogenic origin and that is being aggravated by leaching, the evaporation processes, animal excreta, septic tanks and irrigation return flows in LSRB and GRB, while F– is geogenic in nature. Hazard index (HI) values in 14.63%, 22.2%, 24.6%, 49.58%, and 34.42% samples for adults and 21.95%, 27.7%, 42.0%, 72.3%, and 52.46% samples for children were higher than unity in RRB, BRB, MSRB, LSRB, and GRB, respectively. The basin-wise demarcation of various groundwater quality parameter and assessment of human health risk would be of significance for the management of water resources.",The first author received Dr. D S Kothari Post-Doctoral Fellowship from UGC-BSR during the period of study.,,Environmental Science and Pollution Research,,,"Child; Adult; Humans; Rivers; Environmental Monitoring; Water Pollutants, Chemical; Nitrates; Groundwater; Water Quality; India; Risk Assessment",2023-10-17,2023,2023-10-17,2023-11,30,53,113335-113363,Closed,Article,"Kaur, Lakhvinder; Rishi, Madhuri S.; Chaudhary, Bhagwan Singh; Sharma, Sakshi; Pandey, Sanjay","Kaur, Lakhvinder (Department of Geophysics, Kurukshetra University, 136119, Kurukshetra, Haryana, India; Department of Environment Studies, Panjab University, Sector 14, 160014, Chandigarh, India; Department of Environmental Science, Sri Guru Tegh Bahadur Khalsa College, University of Delhi, 110007, Delhi, India); Rishi, Madhuri S. (Department of Environment Studies, Panjab University, Sector 14, 160014, Chandigarh, India); Chaudhary, Bhagwan Singh (Department of Geophysics, Kurukshetra University, 136119, Kurukshetra, Haryana, India); Sharma, Sakshi (Department of Environment Studies, Panjab University, Sector 14, 160014, Chandigarh, India; Center for International Projects Trust, 95-C, BRS Nagar, 41012, Ludhiana, India); Pandey, Sanjay (Central Ground Water Board, NHR, 176215, Dharamsala, Himachal Pradesh, India)","Kaur, Lakhvinder (Kurukshetra University; Panjab University; University of Delhi)","Kaur, Lakhvinder (Kurukshetra University; Panjab University; University of Delhi); Rishi, Madhuri S. (Panjab University); Chaudhary, Bhagwan Singh (Kurukshetra University); Sharma, Sakshi (Panjab University; Center for International Projects Trust, 95-C, BRS Nagar, 41012, Ludhiana, India); Pandey, Sanjay (Central Ground Water Board)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1164977436,37 Earth Sciences; 3707 Hydrology,
3958,pub.1168997342,10.1007/s11356-024-32383-1,38376775,,Factor analysis of hydrologic services in water-controlled grassland ecosystems by InVEST model and geodetector,"Water conservation is highly important for a successful desert grassland ecosystem, but there was no comprehensive view on how to assess influencing factors in managing and addressing water yield and water conservation in desert steppe. The Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, which is specifically used for the assessment of ecosystem services, was combined with geographic detectors to identify the priority areas for water conservation function and analyze the driving factors of water conservation in the Tabu River Basin, Inner Mongolia Autonomous Region, China, using different meteorological data sources. (i) The InVEST model has the advantage of modeling water yield and water conservation at spatial scales by fusion downscaling data. High water yield mainly occurs in the southern hilly mountainous areas, low water yield in the northern desert and grassland areas, and between the two in the central agro-pastoral areas; the multi-year average water conservation and water yield based on the InVEST model are 3.3 and 16 mm, respectively. (ii) Water yield and water conservation roughly show a transitional phenomenon of “high in the south and low in the north.” The water yield and water conservation per unit area of the Tabu River Basin are relatively large for construction land, unused land, and cropland, relatively small for grassland and forestland, and basically zero for water bodies. Forest land has the strongest water conservation capacity, followed by grassland and farmland, while the order of water yield capacity is the opposite. (iii) Precipitation shows the strongest explanatory power for water yield (q = 0.427), followed by land use types (q = 0.411). The precipitation ∩ actual evapotranspiration has the strongest explanatory power for water yield (q = 0.87). The explanatory power of water yield on water conservation is the strongest (q = 0.752), followed by precipitation (q = 0.4), and the water yield ∩ soil has the greatest explanatory power on water conservation (q = 0.91). These findings are crucial for promoting regional hydrologic services and can provide a water resources management strategy for decision-makers.",,"This study was supported by the Yinshanbeilu Grassland Eco-hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing 100038, China, Grant No. YS2022005, and the National Natural Science Foundation of China, China (52070158, 51679206).",Environmental Science and Pollution Research,,,"Ecosystem; Grassland; Water; Conservation of Natural Resources; Forests; Soil; China; Factor Analysis, Statistical",2024-02-20,2024,2024-02-20,2024-03,31,13,20409-20433,Closed,Article,"Wu, Lei; Luo, Yongkun; Pang, Shijie; Wang, Guoshuai; Ma, Xiaoyi","Wu, Lei (Yinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, 010020, Hohhot, Inner Mongolia, People’s Republic of China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China; State Key Laboratory of Soil Erosion and Dryland Farming On the Loess Plateau, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China; College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China); Luo, Yongkun (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China; College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China); Pang, Shijie (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China; College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China); Wang, Guoshuai (Yinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, 010020, Hohhot, Inner Mongolia, People’s Republic of China); Ma, Xiaoyi (Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China; College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Yangling, Shaanxi, People’s Republic of China)","Wu, Lei (China Institute of Water Resources and Hydropower Research; North West Agriculture and Forestry University; North West Agriculture and Forestry University; North West Agriculture and Forestry University)","Wu, Lei (China Institute of Water Resources and Hydropower Research; North West Agriculture and Forestry University; North West Agriculture and Forestry University; North West Agriculture and Forestry University); Luo, Yongkun (North West Agriculture and Forestry University; North West Agriculture and Forestry University); Pang, Shijie (North West Agriculture and Forestry University; North West Agriculture and Forestry University); Wang, Guoshuai (China Institute of Water Resources and Hydropower Research); Ma, Xiaoyi (North West Agriculture and Forestry University; North West Agriculture and Forestry University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168997342,37 Earth Sciences; 3704 Geoinformatics; 38 Economics,15 Life on Land
3957,pub.1047144990,10.1016/j.scitotenv.2016.10.138,27810747,,"Evaluating the impacts of climate and land-use change on the hydrology and nutrient yield in a transboundary river basin: A case study in the 3S River Basin (Sekong, Sesan, and Srepok)","Assessment of the climate and land-use change impacts on the hydrology and water quality of a river basin is important for the development and management of water resources in the future. The objective of this study was to examine the impact of climate and land-use change on the hydrological regime and nutrient yield from the 3S River Basin (Sekong, Srepok, and Sesan) into the 3S River system in Southeast Asia. The 3S Rivers are important tributaries of the Lower Mekong River, accounting for 16% of its annual flow. This transboundary basin supports the livelihoods of nearly 3.5 million people in the countries of Laos, Vietnam, and Cambodia. To reach a better understanding of the process and fate of pollution (nutrient yield) as well as the hydrological regime, the Soil and Water Assessment Tool (SWAT) was used to simulate water quality and discharge in the 3S River Basin. Future scenarios were developed for three future periods: 2030s (2015-2039), 2060s (2045-2069), and 2090s (2075-2099), using an ensemble of five GCMs (General Circulation Model) simulations: (HadGEM2-AO, CanESM2, IPSL-CM5A-LR, CNRM-CM5, and MPI-ESM-MR), driven by the climate projection for RCPs (Representative Concentration Pathways): RCP4.5 (medium emission) and RCP8.5 (high emission) scenarios, and two land-use change scenarios. The results indicated that the climate in the study area would generally become warmer and wetter under both emission scenarios. Discharge and nutrient yield is predicted to increase in the wet season and decrease in the dry. Overall, the annual discharge and nutrient yield is projected to increase throughout the twenty-first century, suggesting sensitivity in the 3S River Basin to climate and land-use change. The results of this study can assist water resources managers and planners in developing water management strategies for uncertain climate change scenarios in the 3S River Basin.","AcknowledgementsThe authors would like to thank the Greater Mekong Subregion (GMS) for providing the fund required for the research. The authors would also like to acknowledge Dr. Dao Nguyen Khoi from the Centre of Water Management and Climate Change (WACC), Vietnam National University for facilitation this research work.",,The Science of The Total Environment,,,,2016-10-27,2016,2016-10-27,2017-01,576,,586-598,Closed,Article,"Trang, Nguyen Thi Thuy; Shrestha, Sangam; Shrestha, Manish; Datta, Avishek; Kawasaki, Akiyuki","Trang, Nguyen Thi Thuy (Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, Thailand); Shrestha, Sangam (Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, Thailand); Shrestha, Manish (Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani 12120, Thailand); Datta, Avishek (Agricultural Systems and Engineering, School of Environment, Resources and Development, Asian Institute of Technology, Pathum Thani 12120, Thailand); Kawasaki, Akiyuki (Department of Civil Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan)","Shrestha, Sangam (Asian Institute of Technology)","Trang, Nguyen Thi Thuy (Asian Institute of Technology); Shrestha, Sangam (Asian Institute of Technology); Shrestha, Manish (Asian Institute of Technology); Datta, Avishek (Asian Institute of Technology); Kawasaki, Akiyuki (The University of Tokyo)",85,35,1.52,10.26,,https://app.dimensions.ai/details/publication/pub.1047144990,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 15 Life on Land
3955,pub.1149495284,10.1111/jfb.15162,35836332,,"In‐river behaviour and freshwater return rates of sea trout, Salmo trutta L., from two coastal river populations","The effective management of anadromous Salmo trutta resources is challenging because long-term data on life history, phenology and survival are sparse and most stocks across the range are highly diverse and data-limited. The current study employed acoustic telemetry to tag 448 sea trout across three life stages, to describe the phenology, spawning behaviour and return rates of smolts, finnock (0+ sea age) and adult (≥1+ sea age) sea trout in two Irish river systems during 2018-2021. Tagged smolts (n = 206) exhibited river to sea transition rates of 78%-92% and a number of surviving smolts returned to their natal river as 0+ sea age finnock, exhibiting overall smolt to finnock return rates of between 6% and 17%. Short-term vagrancy occurred among smolts, and 14 individuals were detected in adjacent non-natal rivers. Finnock tagged during the late summer (n = 205) exhibited a range of behaviours with a minority (<30%) ascending upstream to spawning areas. Tagged adult sea trout (n = 37) ascended upstream to the spawning grounds and between 50% and 80% successfully returned to sea as kelts after spawning. Subsequent return rates of kelts back to the river in the following year ranged from 9% to 40%. The current study indicated that body size was an influential predictor of behaviour and survival across all three life stages. Increased body size was positively associated with marine transition success in smolts, long-term marine survival in kelts and spawning behaviour in finnock. This work further demonstrates the complexity of sea trout life-history dynamics and provides a comparative perspective across different age classes. An understanding of life-history variation, behaviour and survival is fundamental for the successful management and conservation of sea trout stocks.","ACKNOWLEDGEMENTS This work was conducted under the COMPASS project which has been supported by the EU&#x27;s INTERREG VA Programme, managed by the Special EU Programmes Body. The views and opinions expressed in this document do not necessarily reflect those of the European Commission or the Special EU Programmes Body (SEUPB). Thanks to J. O&#x27;Callaghan (IFI), A. Kane and A. Moore (AFBI) and G. Marshall for practical assistance. Thanks to Inland Fisheries Ireland and DAERA field staff and to the Shimna Angling Club and the Dundalk and District Brown Trout and Salmon Anglers Association for support and assistance.",Funding information Interreg; Inland Fisheries Ireland; European Commission; EU,Journal of Fish Biology,,,Animals; Rivers; Animal Migration; Trout; Fresh Water; Telemetry,2022-08-03,2022,2022-08-03,2022-10,101,4,1008-1020,Closed,Article,"Kennedy, Richard James; Barry, James; Roche, William; Rosell, Robert; Allen, Michelle","Kennedy, Richard James (Agri‐Food and Biosciences Institute, Agri‐Food and Biosciences Institute, Fisheries and Aquatic Ecosystems Branch, Belfast, Northern Ireland, UK); Barry, James (Inland Fisheries Ireland, Citywest Business Campus, Dublin, Ireland); Roche, William (Inland Fisheries Ireland, Citywest Business Campus, Dublin, Ireland); Rosell, Robert (Agri‐Food and Biosciences Institute, Agri‐Food and Biosciences Institute, Fisheries and Aquatic Ecosystems Branch, Belfast, Northern Ireland, UK); Allen, Michelle (Agri‐Food and Biosciences Institute, Agri‐Food and Biosciences Institute, Fisheries and Aquatic Ecosystems Branch, Belfast, Northern Ireland, UK)","Kennedy, Richard James (Agri Food and Biosciences Institute)","Kennedy, Richard James (Agri Food and Biosciences Institute); Barry, James (Fishing in Ireland); Roche, William (Fishing in Ireland); Rosell, Robert (Agri Food and Biosciences Institute); Allen, Michelle (Agri Food and Biosciences Institute)",4,4,2.07,3.07,,https://app.dimensions.ai/details/publication/pub.1149495284,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences",14 Life Below Water
3953,pub.1166474291,10.1016/j.scitotenv.2023.169012,38040381,,The coupling coordination and spatiotemporal evolution of industrial water-energy-CO2 in the Yellow River Basin,"The Yellow River Basin (YRB) is an important energy, chemical, raw material, and basic industrial base in China. With economic growth, water and energy consumption in industrial industries increasing dramatically, huge pressure for CO2 emission reduction has generated. This paper constructed an industrial water-energy-CO2 (WEC) evaluation index system, analyzed the comprehensive evaluation level, coupling status and coupling coordination status, by using the comprehensive evaluation method, coupling degree model and coupling coordination degree model and used the spatial autocorrelation analysis to study the spatiotemporal evolution from 1999 to 2019 in the YRB. The results demonstrated that the integrated development level of the basin's industrial WEC system and subsystems had been improving. The basin was at a high coupling and the level of coupling had been increasing as a whole, and the industrial energy-CO2 coupling degree was bigger than the industrial water-energy and industrial water-CO2 coupling degrees in the YRB. The coupling coordination status had transitioned from forced coordination to good coordination. Spatially, the coupling coordination didn't appear a significant correlation and showed a random distribution. Accordingly, the suggestions were made to improve the level of industrial development in the basin, strengthen integrated resource management, and enhance intra-basin cooperation.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgement This work was financially supported by the Department of Science and Technology, Henan Province (232102320278).",,The Science of The Total Environment,,,,2023-11-29,2023,2023-11-29,2024-02,912,,169012,Closed,Article,"Sun, Ken; Han, Jingmin; Wu, Qianru; Xie, Weisheng; He, Wenbo; Yang, Zhenzhen; Wang, Yuanbiao; Liu, Jiacheng; Shi, Enhui","Sun, Ken (School of Environmental and Municipal Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China. Electronic address: sunken0371@126.com.); Han, Jingmin (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.); Wu, Qianru (School of Civil Engineering, Tianjin University, Tianjin 300072, China.); Xie, Weisheng (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.); He, Wenbo (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.); Yang, Zhenzhen (School of Environmental and Municipal Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.); Wang, Yuanbiao (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.); Liu, Jiacheng (School of Environmental and Municipal Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.); Shi, Enhui (School of Environmental and Municipal Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.)","Sun, Ken (North China University of Water Resources and Electric Power)","Sun, Ken (North China University of Water Resources and Electric Power); Han, Jingmin (North China University of Water Resources and Electric Power); Wu, Qianru (Tianjin University); Xie, Weisheng (North China University of Water Resources and Electric Power); He, Wenbo (North China University of Water Resources and Electric Power); Yang, Zhenzhen (North China University of Water Resources and Electric Power); Wang, Yuanbiao (North China University of Water Resources and Electric Power); Liu, Jiacheng (North China University of Water Resources and Electric Power); Shi, Enhui (North China University of Water Resources and Electric Power)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1166474291,37 Earth Sciences; 3704 Geoinformatics,7 Affordable and Clean Energy
3952,pub.1164827100,10.1371/journal.pone.0292705,37819935,PMC10566700,Spatiotemporal evolution of dissolved organic matter (DOM) and its response to environmental factors and human activities,"The South-to-North Water Diversion East Project (SNWDP-E) is an effective way to realize the optimal allocation of water resources in China. The North Dasha River (NDR) is the reverse recharge section that receives water from the Yufu River to the Wohushan Reservoir transfer project line in the SNWDP. However, the dissolved organic matter (DOM) evolution mechanism of seasonal water transfer projects on tributary waters has not been fully elucidated. In this paper, the NDR is the main object, and the changes in the composition and distribution of spectral characteristics during the winter water transfer period (WT) as well as during the summer non-water transfer period (NWT) are investigated by parallel factor analysis (PARAFAC). The results showed that the water connectivity caused by water transfer reduces the environmental heterogeneity of waters in the basin, as evidenced by the ammonia nitrogen (NH4+-N) and total phosphorus (TP) in the water body were significantly lower (p<0.05, p<0.01) during the water transfer period than the non-water transfer period. In addition, the fluorescence intensity of DOM was significantly lower in the WT than the NWT (p<0.05) and was mainly composed of humic substances generated from endogenous sources with high stability. While the NWT was disturbed by anthropogenic activities leading to significant differences in DOM composition in different functional areas. Based on the redundancy analysis (RDA) and multiple regression analysis, it was found that the evolution of the protein-like components is dominated by chemical oxygen demand (COD) and NH4+-N factors during the WT. While the NWT is mainly dominated by total nitrogen (TN) and TP factors for the evolution of the humic-like components. This study helps to elucidate the impact of water transfer projects on the trunk basin and contribute to the regulation and management of inter-basin water transfer projects.","We would like to acknowledge Yingxue Sun, and Chengxiu Lu from the College of Geography and Environment, Shandong Normal University for their support in instrumental analysis and testing.","This study was financially supported by the Shandong Province Colleges and Universities Youth Innovation Science and Technology Teams Support Program of China (Grant No. 2021KJ015), and the Shandong Province Natural Science Foundation PR China (Grant Nos. ZR2020YQ41, ZR2021YQ22, and ZR2020MC045). The funders had a role in study design, data collection and analysis, decision to publish, but no preparation of the publication fees.",PLOS ONE,,Susmita Lahiri (Ganguly),"Humans; Dissolved Organic Matter; Rivers; Water; Humic Substances; China; Nitrogen; Phosphorus; Human Activities; Spectrometry, Fluorescence",2023-10-11,2023,2023-10-11,,18,10,e0292705,All OA; Gold,Article,"Liu, Mengyu; Tian, Haihan; Chen, Tao; Sun, Jingyao; Sun, Ruipeng; Kong, Qiang; Zhao, Zheng; Zhang, Siju; Xu, Fei","Liu, Mengyu (College of Geography and Environment, Shandong Normal University, Jinan, Shandong, PR China); Tian, Haihan (College of Geography and Environment, Shandong Normal University, Jinan, Shandong, PR China); Chen, Tao (The Natural Resources and Planning Bureau of Weishan, Jining, PR China); Sun, Jingyao (The Natural Resources and Planning Bureau of Weishan, Jining, PR China); Sun, Ruipeng (Shandong Provincial GEO-MINERAL Engineering Co., Ltd., Jinan, PR China); Kong, Qiang (College of Geography and Environment, Shandong Normal University, Jinan, Shandong, PR China; Dongying Institute, Shandong Normal University, Dongying, Shandong, PR China); Zhao, Zheng (College of Geography and Environment, Shandong Normal University, Jinan, Shandong, PR China); Zhang, Siju (College of Geography and Environment, Shandong Normal University, Jinan, Shandong, PR China); Xu, Fei (College of Geography and Environment, Shandong Normal University, Jinan, Shandong, PR China)","Xu, Fei (Shandong Normal University)","Liu, Mengyu (Shandong Normal University); Tian, Haihan (Shandong Normal University); Chen, Tao (The Natural Resources and Planning Bureau of Weishan, Jining, PR China); Sun, Jingyao (The Natural Resources and Planning Bureau of Weishan, Jining, PR China); Sun, Ruipeng (Shandong Provincial GEO-MINERAL Engineering Co., Ltd., Jinan, PR China); Kong, Qiang (Shandong Normal University; Shandong Normal University); Zhao, Zheng (Shandong Normal University); Zhang, Siju (Shandong Normal University); Xu, Fei (Shandong Normal University)",0,0,,,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0292705&type=printable,https://app.dimensions.ai/details/publication/pub.1164827100,37 Earth Sciences; 3701 Atmospheric Sciences,6 Clean Water and Sanitation
3950,pub.1144789029,10.1016/j.scitotenv.2022.153205,35063531,,"Establishment of watershed ecological water requirements framework: A case study of the Lower Yellow River, China","It is of great practical significance to ensure ecological water requirements (EWRs) for the maintenance of river health and the sustainable development of human socioeconomics. How to scientifically determine the comprehensive EWRs and estimate the uncertainty of hydro-ecological tools performed in the process of conducting remains one of the most important yet most complicated issues. In this study, the ecological water requirements framework (EWRsF) of the Lower Yellow River (LYR), which considers instream ecological base flow, survival and reproduction of indicator fish species, equilibrium of erosion and siltation and ecological function of the estuary, was constructed by integrating hydrological, hydraulic and ecological habitat methods. The framework contains three crucial components - determination of instream EWRs and estuarine EWRs, uncertainty analysis of hydro-ecological tools. For instream ecological base flow, we proposed an improved Tennant method, which took into account both seasonality and sediment transport characteristics of the LYR, and could better reflect the actual hydrological regime. For the hydrological ecological response relationship of indicator fish species, we estimated the uncertainty of the model output of River2D to improve its credibility of the simulation results. The results demonstrated that: 1) Two-grade intra-annual monthly EWRs process of suitable and minimum for four instream sections and estuary area were obtained. The flood season (June-October) is the period with the largest proportion of intra-annual instream EWRs, whereas in estuary area, is the spawning period (April-July) of dominant species. 2) The uncertainty of HSI curves directly leads to the uncertainty of model output. Although the shape and position of the WUA curve can be uncertain, it does not affect the judgment of EWRs threshold. 3) The research results can provide scientific basis for water resource management decision-making in the LYR. Additionally, the ideas also have reference significance for similar basins.",This research was supported by the National Natural Science Foundation of China (41730750 and 52179011). We would like to extend special thanks to the editor and Reviewers for insightful suggestions and comments on this manuscript.,,The Science of The Total Environment,,,Animals; China; Ecosystem; Hydrology; Rivers; Water,2022-01-19,2022,2022-01-19,2022-05,820,,153205,Closed,Article,"Wu, Hongshi; Shi, Peng; Qu, Simin; Zhang, Hongxue; Ye, Ting","Wu, Hongshi (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.); Shi, Peng (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address: ship@hhu.edu.cn.); Qu, Simin (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.); Zhang, Hongxue (School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China.); Ye, Ting (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.)","Shi, Peng (Hohai University)","Wu, Hongshi (Hohai University); Shi, Peng (Hohai University); Qu, Simin (Hohai University); Zhang, Hongxue (Northeast Agricultural University); Ye, Ting (Hohai University)",12,12,0.48,6.01,,https://app.dimensions.ai/details/publication/pub.1144789029,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,
3949,pub.1145268772,10.1016/j.envpol.2022.118962,35131332,,"Source and enrichment mechanism of fluoride in groundwater of the Hotan Oasis within the Tarim Basin, Northwestern China","In arid inland irrigated areas, the role of human activities on fluoride enrichment in groundwater is not fully understood. There is an extremely arid climate, high-intensity irrigation, and severe soil salinization in the Hotan Oasis within the Tarim Basin, Northwestern China. In this study, hydrogeochemistry and environmental isotope methods were combined to explore the distribution characteristics and controlling processes of fluoride enrichment in groundwater. The F- concentration in groundwater had a range of 1.12-9.4 mg/L. F- concentrations of all the groundwater samples were higher than 1.0 mg/L (Chinese Standards for Drinking Water Quality), and about 89% were higher than 1.5 mg/L (WHO Guidelines for Drinking Water Quality). High fluoride groundwater was mainly distributed downstream of the river and in the middle of the interfluvial zone. Vertically, the fluoride concentration was higher when the sampling depth was less than 15 m. There was a significant positive correlation between F- concentration and salinity in groundwater. F- in groundwater was mainly derived from river water fluoride, which could be imported to groundwater with infiltration of rivers and irrigation canals as well as irrigation return flow. Anthropogenic inputs may be partly responsible for fluoride enrichment in groundwater. Fluoride accumulated in the vadose zone by strong evapotranspiration and then leached into groundwater with irrigation return flow was the main mechanism of F- enrichment in groundwater in the study area. This work is a clear example of how human activities together with natural processes can affect the chemical quality of groundwater, which is essential to safeguard the sustainable management of water and soil resources inland arid oasis areas.","The research work was financially supported by the National Key Research and Development Program of China (2017YFC0406105) and the Project of China Geological Survey (No. DD20179605). The authors also thank Yujuan Lei, Zhewen Zheng, Anliang Zhong, Changjian Zou, and Yuequan Wu from China University of Geosciences (Wuhan) as well as Mingfa Li and Xiaogang Li from Water Conversation and Irrigation Experiment Station, First Division Xinjiang Production and Construct Corps (Alar) for their assistance in the field work. We also thank the anonymous reviewers for their constructive comments and suggestions that have helped to improve the manuscript.",,Environmental Pollution,,,"China; Environmental Monitoring; Fluorides; Groundwater; Humans; Rivers; Water Pollutants, Chemical",2022-02-04,2022,2022-02-04,2022-05,300,,118962,Closed,Article,"Huang, Liwen; Sun, Ziyong; Zhou, Aiguo; Bi, Junbo; Liu, Yunde","Huang, Liwen (Institute of Geological Survey, China University of Geosciences, Wuhan, 430074, China.); Sun, Ziyong (School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.); Zhou, Aiguo (Institute of Geological Survey, China University of Geosciences, Wuhan, 430074, China; School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.); Bi, Junbo (Xi'an Center of Geological Survey, Chinese Geological Survey, Xi'an, 710054, China.); Liu, Yunde (School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China. Electronic address: liuyunde@cug.edu.cn.)","Liu, Yunde (China University of Geosciences)","Huang, Liwen (China University of Geosciences); Sun, Ziyong (China University of Geosciences); Zhou, Aiguo (China University of Geosciences); Bi, Junbo (Xi'an Center of Geological Survey, Chinese Geological Survey, Xi'an, 710054, China.); Liu, Yunde (China University of Geosciences)",38,38,4.67,23.89,,https://app.dimensions.ai/details/publication/pub.1145268772,37 Earth Sciences; 3705 Geology; 3707 Hydrology; 41 Environmental Sciences; 4106 Soil Sciences,6 Clean Water and Sanitation
3949,pub.1051264846,10.1016/j.scitotenv.2015.06.043,26210354,,Ecological relevance of current water quality assessment unit designations in impaired rivers,"Managers often nest sections of water bodies together into assessment units (AUs) to monitor and assess water quality criteria. Ideally, AUs represent an extent of waters with similar ecological, watershed, habitat and land-use conditions and no overlapping characteristics with other waters. In the United States, AUs are typically based on political or hydrologic boundaries rather than on ecologically relevant features, so it can be difficult to detect changes in impairment status. Our goals were to evaluate if current AU designation criteria of an impaired water body in southeastern Idaho, USA that, like many U.S. waters, has three-quarters of its mainstem length divided into two AUs. We focused our evaluation in southeastern Idaho's Portneuf River, an impaired river and three-quarters of the river is divided into two AUs. We described biological and environmental conditions at multiple reaches within each AU. We used these data to (1) test if variability at the reach-scale is greater within or among AUs and, (2) to evaluate alternate AU boundaries based on multivariate analyses of reach-scale data. We found that some biological conditions had greater variability within an AU than between AUs. Multivariate analyses identified alternative, 2- and 3-group, AUs that reduced this variability. Our results suggest that the current AU designations in the mainstem Portneuf River contain ecologically distinct sections of river and that the existing AU boundaries should be reconsidered in light of the ecological conditions measured at the reach scale. Variation in biological integrity within designated AUs may complicate water quality and biological assessments, influence management decisions or affect where monitoring or mitigation resources are directed.","Funding was provided by the Idaho Department of Environmental Quality (#C874). This manuscript benefited from the comments of Reviewers and Robert Gresswell. We would like to thank Mark Abbey-Lambertz and IDEQ field technicians for assistance with sample collection. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.",,The Science of The Total Environment,,,Conservation of Natural Resources; Ecology; Ecosystem; Environmental Monitoring; Rivers; United States; Water Quality,2015-07-24,2015,2015-07-24,2015-12,536,,198-205,Closed,Article,"Layhee, Megan; Sepulveda, Adam; Ray, Andrew; Mladenka, Greg; Van Every, Lynn","Layhee, Megan (U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Suite 2, Bozeman, MT 59715, USA); Sepulveda, Adam (U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Suite 2, Bozeman, MT 59715, USA); Ray, Andrew (U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Suite 2, Bozeman, MT 59715, USA); Mladenka, Greg (Idaho Department of Environmental Quality, Pocatello Regional Office, 444 Hospital Way #300, Pocatello, ID 83201, USA); Van Every, Lynn (Idaho Department of Environmental Quality, Pocatello Regional Office, 444 Hospital Way #300, Pocatello, ID 83201, USA)","Layhee, Megan (Montana State University System)","Layhee, Megan (Montana State University System); Sepulveda, Adam (Montana State University System); Ray, Andrew (Montana State University System); Mladenka, Greg (Idaho Department of Environmental Quality, Pocatello Regional Office, 444 Hospital Way #300, Pocatello, ID 83201, USA); Van Every, Lynn (Idaho Department of Environmental Quality, Pocatello Regional Office, 444 Hospital Way #300, Pocatello, ID 83201, USA)",4,1,0.12,0.49,,https://app.dimensions.ai/details/publication/pub.1051264846,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences; 41 Environmental Sciences,15 Life on Land
3946,pub.1008476056,10.1007/s10661-016-5098-5,26797815,,"Influences of hydrogeomorphology and chemical water quality on fish assemblages in the Nevėžis River, Lithuania: implications for river basin management plans in the Baltics","Further resolving physicochemical-fish associations would be of considerable benefit to advancing both scientific research and monitoring programs in the Baltic states. We collected 3 years of coordinated hydrogeomorphic, water-chemistry, and fish assemblage data at 11 study reaches along the Nevėžis River of central Lithuania and assessed their relative influence on fish assemblages. Of the 23 fish species surveyed in the Nevėžis River, omnivorous and tolerant species were most common. Both water chemistry and physical, hydrogeomorphic characteristics emerged as predictors of fish assemblage descriptors. The strength of evidence for biological oyxgen demand as a strong environmental driver was compelling for both the Lithuanian Fish Index (LFI) and percentage of simple lithophils. Channel substrate emerged in multiple models as a strong predictor variable (LFI, % intolerant species, % simple lithophils, % omnivores). Measures of channel size (drainage area, mean depth) contributed to models for multiple fish metrics including percentage of lithophils, percentage of omnivores, and percentage of intolerant species. This research represents novel work in the region, and our results are an important step in supporting the development of a comprehensive physicochemical research and monitoring program in Lithuania.","We thank Dr. Virginija Pliūraitė for her statistical advice as well as anonymous reviewers for helpful comments of previous drafts. Financial support was provided by the National Research Program (NRP) “Agro-, forest, and aquatic ecosystem sustainability” by the Research Council of Lithuania under Grant “KLIM-EKO” No. SIT-15034.",,Environmental Monitoring and Assessment,,,Animals; Baltic States; Conservation of Natural Resources; Environmental Monitoring; Fishes; Lithuania; Rivers; Water Quality,2016-01-21,2016,2016-01-21,2016-02,188,2,109,Closed,Article,"Čivas, Laurynas; Kesminas, Vytautas; Sullivan, S. Mažeika P.","Čivas, Laurynas (Nature Research Centre, Akademijos Str. 2, LT-08412, Vilnius, Lithuania); Kesminas, Vytautas (Nature Research Centre, Akademijos Str. 2, LT-08412, Vilnius, Lithuania); Sullivan, S. Mažeika P. (The Ohio State University, School of Environment and Natural Resources, 2021 Coffey Road, 210 Kottman Hall, 43210, Columbus, OH, USA)","Kesminas, Vytautas (Nature Research Centre)","Čivas, Laurynas (Nature Research Centre); Kesminas, Vytautas (Nature Research Centre); Sullivan, S. Mažeika P. (The Ohio State University)",2,2,0.06,0.27,,https://app.dimensions.ai/details/publication/pub.1008476056,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,
3944,pub.1151366718,10.1016/j.jenvman.2022.116260,36179467,,Sediment source fingerprinting as an aid to large-scale landscape conservation and restoration: A review for the Mississippi River Basin,"Reliable quantitative information on sediment sources to rivers is critical to mitigate contamination and target conservation and restoration actions. However, for large-scale river basins, determination of the relative importance of sediment sources is complicated by spatiotemporal variability in erosional processes and sediment sources, heterogeneity in sediment transport and deposition, and a paucity of sediment monitoring data. Sediment source fingerprinting is an increasingly adopted field-based technique that identifies the nature and relative source contribution of sediment transported in waterways. Notably, sediment source fingerprinting provides information that is independent of other field, modeling, or remotely sensed techniques. However, the diversity in sampling, analytical, and interpretive methods for sediment fingerprinting has been recognized as a problem in terms of developing standardized procedures for its application at the scale of large river basins. Accordingly, this review focuses on sediment source fingerprinting studies conducted within the Mississippi River Basin (MRB), summarizes unique information provided by sediment source fingerprinting that is distinct from traditional monitoring techniques, evaluates consistency and reliability of methodological approaches among MRB studies, and provides prospects for the use of sediment source fingerprinting as an aid to large-scale landscape conservation and restoration under current management frameworks. Most MRB studies reported credible fingerprinting results and found near-channel sources to be the dominant sediment sources in most cases, and yet a lack of standardization in procedural steps makes results difficult to compare. Findings from MRB studies demonstrated that sediment source fingerprinting is a highly valuable and reliable sediment source assessment approach to assist land and water resource management under current management frameworks, but efforts are needed to make this technique applicable in large-scale landscape conservation and restoration efforts. We summarize research needs and discuss sediment fingerprinting use for basin-scale management efforts with the aim of encouraging that this technique is robust and reliable as it moves forward.","This study benefited from the funding support from United States Department of Agriculture Natural Resources Conservation Service (#CPT0011193). The authors are also thankful to four anonymous reviewers and Rachel Sortor for their constructive review of the manuscript. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.",,Journal of Environmental Management,,,Rivers; Geologic Sediments; Environmental Monitoring; Reproducibility of Results; Mississippi,2022-09-27,2022,2022-09-27,2022-12,324,,116260,All OA; Hybrid,Article,"Xu, Zhen; Belmont, Patrick; Brahney, Janice; Gellis, Allen C","Xu, Zhen (Department of Watershed Sciences, Utah State University, Logan, UT, 84322, USA. Electronic address: zhenxuprc@hotmail.com.); Belmont, Patrick (Department of Watershed Sciences, Utah State University, Logan, UT, 84322, USA.); Brahney, Janice (Department of Watershed Sciences, Utah State University, Logan, UT, 84322, USA.); Gellis, Allen C (U.S. Geological Survey, Maryland-Delaware-D.C. Water Science Center, Baltimore, MD, 21228, USA.)","Xu, Zhen (Utah State University)","Xu, Zhen (Utah State University); Belmont, Patrick (Utah State University); Brahney, Janice (Utah State University); Gellis, Allen C (United States Geological Survey)",9,9,1.48,6.35,http://manuscript.elsevier.com/S0301479722018333/pdf/S0301479722018333.pdf,https://app.dimensions.ai/details/publication/pub.1151366718,37 Earth Sciences; 3705 Geology; 41 Environmental Sciences,15 Life on Land
3942,pub.1120636579,10.1016/j.dib.2019.104440,31516958,PMC6736769,Dataset for reservoir impoundment operation coupling parallel dynamic programming with importance sampling and successive approximation,"The dataset contains reservoir characteristic parameters, streamflow series of reservoirs in the upper Yangtze River, the standard operating rules (SORs) and the seasonal top of buffer pools (seasonal TBPs) for these reservoirs, which were provided by the Yangtze River Commission. Moreover, annual hydropower of these reservoirs is tested to evaluate operation performance. These research materials are related to the research article in Advances in Water Resources, entitled 'Optimal impoundment operation for cascade reservoirs coupling parallel dynamic programming with importance sampling and successive approximation' (He et al., 2019). The dataset could be used to derive optimal operating rules to explore the potential benefits of water resources via our proposed algorithm (importance sampling - parallel dynamic programming, IS-PDP) in different runoff scenarios. It can also be further applied for water resources management and other potential users.","This study is financially supported by the National Key Research and Development Project (Grant NO. 2016YFC0402206) of China, the National Natural Science Foundation of China (Grant NO. 51879192 and 51579183).",,Data in Brief,,,,2019-08-28,2019,2019-08-28,2019-10,26,,104440,All OA; Gold,Article,"He, Shaokun; Guo, Shenglian; Chen, Kebing; Deng, Lele; Liao, Zhen; Xiong, Feng; Yin, Jiabo","He, Shaokun (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, China.); Guo, Shenglian (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, China.); Chen, Kebing (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, China.); Deng, Lele (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, China.); Liao, Zhen (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, China.); Xiong, Feng (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, China.); Yin, Jiabo (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, 430072, China.)","Guo, Shenglian (Wuhan University)","He, Shaokun (Wuhan University); Guo, Shenglian (Wuhan University); Chen, Kebing (Wuhan University); Deng, Lele (Wuhan University); Liao, Zhen (Wuhan University); Xiong, Feng (Wuhan University); Yin, Jiabo (Wuhan University)",4,1,0.45,0.69,https://doi.org/10.1016/j.dib.2019.104440,https://app.dimensions.ai/details/publication/pub.1120636579,37 Earth Sciences; 3707 Hydrology,7 Affordable and Clean Energy
3941,pub.1151574513,10.1016/j.scitotenv.2022.159230,36208752,,"Spatiotemporal heterogeneity and attributions of streamflow and baseflow changes across the headstreams of the Tarim River Basin, Northwest China","Understanding spatiotemporal heterogeneity of streamflow and baseflow and revealing their changes contributed by climatic factors and human activities in the alpine region of inland river basin are critical for regional water management. However, the hydrology heterogeneity in the alpine region has remained unclear, which limits the scientific understanding of the interaction mechanism between the hydrological cycle and terrain, and further constrains the effective utilization of regional water resources in the water-shortage areas. In this study, the hydrological process and regimes for headstreams of Tarim River Basin (HTRB) during 1985-2011 were simulated by the Soil and Water Assessment Tool. We systematically characterized the spatial and temporal patterns of streamflow and baseflow through geostatistical and trend analyses, and subsequently investigated their heterogeneity responses to climate change and human activities at different sub-basins and elevation zones. Results show that the spatial distributions of streamflow and baseflow are highly related to terrain and river direction. Increased trends in precipitation enhanced with altitude, whereas decreased trends in potential evapotranspiration (PET) weakened with altitude, meanwhile, increased trends in streamflow and baseflow of HTRB are most pronounced in mid-altitude areas during 1985-2011. The climate elasticities of streamflow and baseflow are highly reliant on the altitudinal gradient. Increases in streamflow and baseflow in high-lying areas are more sensitive to precipitation variation, while they are more sensitive to PET change in low-lying areas. The magnitude and change rate with altitude bands of the precipitation has greater effects on streamflow and baseflow variations than those of PET. Furthermore, the percentage of sub-basins where climate changes dominate streamflow variation in each elevation band increases with height but decreases abruptly at elevations above 5000 m. The percentage of sub-basins where climate changes dominate baseflow variations gradually decreases in elevation bands above 3000 m. Our results indicate that climate change rather than human activities dominants the variation in streamflow and baseflow in most sub-basins and elevation bands.","This work is jointly supported by the National Natural Science Foundation of China (51979071, 51779073), the Distinguished Young Fund Project of Jiangsu Natural Science Foundation (BK20180021), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). Cordial thanks are extended to the editor and anonymous reviewers for their critical and constructive comments, which highly improve the quality of the manuscript.",,The Science of The Total Environment,,,Humans; Rivers; Hydrology; Climate Change; Soil; Water; China,2022-10-05,2022,2022-10-05,2023-01,856,Pt 2,159230,Closed,Article,"Li, Hongbin; Wang, Weiguang; Fu, Jianyu; Wei, Jia","Li, Hongbin (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.); Wang, Weiguang (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address: wangweiguang006@126.com.); Fu, Jianyu (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.); Wei, Jia (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.)","Wang, Weiguang (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University)","Li, Hongbin (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Wang, Weiguang (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Fu, Jianyu (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Wei, Jia (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University)",6,6,,3.43,,https://app.dimensions.ai/details/publication/pub.1151574513,37 Earth Sciences; 3701 Atmospheric Sciences; 3704 Geoinformatics; 3707 Hydrology,13 Climate Action
3937,pub.1120921897,10.1007/s10653-019-00406-3,31494783,PMC7188737,Assessing the interlinkage of green and blue water in an arid catchment in Northwest China,"Water resource assessment is crucial for human well-being and ecosystem health. Assessments considering both blue and green water are of great significance, as green water plays a critical but often ignored role in the terrestrial ecosystem, especially in arid and semi-arid regions. Many approaches have been developed for green and blue water valuation; however, few approaches consider the interrelationship between green and blue water. This study proposed a new framework for green and blue water assessment by considering the interactions between green and blue water and the connections between human and natural ecosystems in an arid endorheic river basin where hydrological cycling is dramatically altered by human activities. The results show that even though green water is the dominant water resource, blue water is also critical. Most of the blue water is redirected back into the soil through physical and human-induced processes to meet the water demand of the ecosystem. The blue and green water regimes are found to be totally different in different ecosystems due to the temporal and spatial variability in water supply and consumption. We also found that humans are using an increasing proportion of water, resulting in decreasing water availability. Extensive water use by humans reduces the water availability for the natural ecosystem. Approximately 38.6% of the vegetation-covered area, which is dominated by farmland and forest, may face a moderate or high risk of increased conflict and tension over freshwater. This study provides crucial information to better understand the interactions between green and blue water and the relations between humans and nature by explicitly assessing water resources. It also provides crucial information for water management strategies that aim to balance humankind and nature.","This study was supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA20100104), the National Natural Science Foundation of China (Grant No. 41625001) and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA20060402). All the data used in this work are available at the data centre of the “Integrated Research on the Eco-hydrological Process of the Heihe River Basin” (https://www.heihedata.org) and the World Data System Cold and Arid Regions Science Data Center at Lanzhou (https://card.westgis.ac.cn).",,Environmental Geochemistry and Health,,,China; Conservation of Water Resources; Desert Climate; Ecosystem; Fresh Water; Groundwater; Humans; Hydrology; Recycling; Rivers; Soil; Water Resources; Water Supply,2019-09-07,2019,2019-09-07,2020-03,42,3,933-953,All OA; Hybrid,Article,"Mao, Ganquan; Liu, Junguo; Han, Feng; Meng, Ying; Tian, Yong; Zheng, Yi; Zheng, Chunmiao","Mao, Ganquan (School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, 518055, Shenzhen, China; School of Water Resources and Hydropower Engineering, Wuhan University, 430072, Wuhan, China); Liu, Junguo (School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, 518055, Shenzhen, China); Han, Feng (School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, 518055, Shenzhen, China); Meng, Ying (School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, 518055, Shenzhen, China); Tian, Yong (School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, 518055, Shenzhen, China); Zheng, Yi (School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, 518055, Shenzhen, China); Zheng, Chunmiao (School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, 518055, Shenzhen, China)","Liu, Junguo (Southern University of Science and Technology)","Mao, Ganquan (Southern University of Science and Technology; Wuhan University); Liu, Junguo (Southern University of Science and Technology); Han, Feng (Southern University of Science and Technology); Meng, Ying (Southern University of Science and Technology); Tian, Yong (Southern University of Science and Technology); Zheng, Yi (Southern University of Science and Technology); Zheng, Chunmiao (Southern University of Science and Technology)",14,12,0.15,2.41,https://link.springer.com/content/pdf/10.1007/s10653-019-00406-3.pdf,https://app.dimensions.ai/details/publication/pub.1120921897,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,6 Clean Water and Sanitation
3933,pub.1145770359,10.3390/ijerph19042393,35206581,PMC8878531,"Attribution Assessment and Prediction of Runoff Change in the Han River Basin, China","The ecological environment and water resources of the Han River Basin (HRB) are incredibly susceptible to global warming. Naturally, the analysis of future runoff in HRB is believed to offer a theoretical basis for water resources management and ecological protection in HRB. The purpose of this study is to investigate and forecast the effects of climate change and land use change on runoff in the HRB. This study uses CMIP6 data to simulate three future climate change scenarios (SSP126, SSP245 and SSP585) for changes in precipitation and temperature, a CA-Markov model to simulate future land use change scenarios, and the Budyko framework to predict future runoff changes. The results show that: (1) Between 1974 and 2014, annual runoff (R) and annual precipitation (P) in the HRB decline not so significantly with a rate of 1.3673 mm/a and 1.2709 mm/a, while maximum temperature (Tmax) and minimum temperature (Tmin) and potential evapotranspiration (E0) show a non-significantly increasing trend with 0.0296 °C/a, 0.0204 °C/a and 1.3313 mm/a, respectively. Precipitation is considered as main contributor to the decline in Han River runoff, accounting for 54.1%. (2) In the HRB, overall precipitation and temperature are estimated to rise in the coming years, with all other hydrological variables. The comparison of precipitation rise under each scenario is as follows: SSP126 scenario > SSP585 scenario > SSP245 scenario. The comparison of the temperature increase under each scenario is as follows: SSP585 scenario > SSP245 scenario > SSP126 scenario. (3) In the HRB, farmland and grassland land will continue to decline in the future. The amount of forest acreage is projected to decline but not so significantly. (4) The future runoff of the HRB shows an increasing trend, and the future runoff varies in different scenarios and periods. Under the land use scenarios of maintaining LUCC1992-2014 and LUCC2040 and LUCC2060, the R change rates in 2015-2040 are 8.27-25.47% and -8.04-19.35%, respectively, and the R in 2040-2060 are 2.09-13.66% and 19.35-31.52%. At the same time, it is very likely to overestimate the future runoff of the HRB without considering the changes in the land use data of the underlying surface in the future.",,"This research was funded by the National Natural Science Foundation of China, grant number 52079008 U2040212 51909080.",International Journal of Environmental Research and Public Health,,,China; Climate Change; Hydrology; Rivers; Water Movements; Water Resources,2022-02-18,2022,2022-02-18,,19,4,2393,All OA; Gold,Article,"Wei, Mengru; Yuan, Zhe; Xu, Jijun; Shi, Mengqi; Wen, Xin","Wei, Mengru (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;, 201602010109@hhu.edu.cn, (M.W.);, njwenxin@163.com, (X.W.)); Yuan, Zhe (Changjiang River Scientific Research Institute, Changjiang Water Resources Commission of the Ministry of Water Resources of China, Wuhan 430010, China;, xujijune@mail.crsri.cn); Xu, Jijun (Changjiang River Scientific Research Institute, Changjiang Water Resources Commission of the Ministry of Water Resources of China, Wuhan 430010, China;, xujijune@mail.crsri.cn); Shi, Mengqi (College of Geomatic, Xi’an University of Science and Technology, Xi’an 710054, China;, 20210061026@stu.xust.edu.cn); Wen, Xin (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;, 201602010109@hhu.edu.cn, (M.W.);, njwenxin@163.com, (X.W.))","Yuan, Zhe (Changjiang Water Resources Commission)","Wei, Mengru (Hohai University; College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;, 201602010109@hhu.edu.cn, (M.W.);, njwenxin@163.com, (X.W.)); Yuan, Zhe (Changjiang Water Resources Commission); Xu, Jijun (Changjiang Water Resources Commission); Shi, Mengqi (Xi'an University of Science and Technology); Wen, Xin (Hohai University; College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;, 201602010109@hhu.edu.cn, (M.W.);, njwenxin@163.com, (X.W.))",5,5,,2.39,https://www.mdpi.com/1660-4601/19/4/2393/pdf?version=1645499349,https://app.dimensions.ai/details/publication/pub.1145770359,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 15 Life on Land
3933,pub.1169145052,10.1007/s10661-024-12471-y,38396233,,Availability of the current and future water resources in Equatorial Central Africa: case of the Nyong forest catchment in Cameroon,"To anticipate disasters (drought, floods, etc.) caused by environmental forcing and reduce their impacts on its fragile economy, sub-Saharan Africa needs a good knowledge of the availability of current water resources and reliable hydroclimatic forecasts. This study has an objective to quantify the availability of water resources in the Nyong basin and predict its future evolution (2024–2050). For this, the SWAT (Soil and Water Assessment Tool) model was used. The performance of this model is satisfactory in calibration (2001–2005) and validation (2006–2010), with R2, NSE, and KGE greater than 0.64. Biases of − 11.8% and − 13.9% in calibration and validation also attest to this good performance. In the investigated basin, infiltration (GW_RCH), evapotranspiration (ETP), surface runoff (SURQ), and water yield (WYLD) are greater in the East, probably due to more abundant rainfall in this part. The flows and sediment load (SED) are greater in the middle zone and in the Southwest of the basin, certainly because of the flat topography of this part, which corresponds to the valley floor. Two climate models (CCCma and REMO) predict a decline in water resources in this basin, and two others (HIRHAM5 and RCA4) are the opposite. However, based on a statistical study carried out over the historical period (2001–2005), the CCCma model seems the most reliable. It forecasts a drop in precipitation and runoff, which do not exceed − 19% and − 18%, respectively, whatever the emission scenario (RCP4.5 or RCP8.5). Climate variability (CV) is the only forcing whose impact is visible in the dynamics of current and future flows, due to the modest current (increase of + 102 km2 in builds and roads) and future (increase of + 114 km2 in builds and roads) changes observed in the evolution of land use and land cover (LULC). The results of this study could contribute to improving water resource management in the basin studied and the region.",,,Environmental Monitoring and Assessment,,,Water Resources; Cameroon; Environmental Monitoring; Hydrology; Rivers; Forests; Climate Change; Water,2024-02-24,2024,2024-02-24,2024-03,196,3,298,Closed,Article,"Ebodé, Valentin Brice; Onana, Jean Yannick Ngono; Dzana, Jean Guy; Amougou, Joseph Armathé; Batha, Romain Armand Soleil; Boyomo, Thomas Magloire Souga; Mbeih, Gaston Evarice Ndjela","Ebodé, Valentin Brice (International Joint Laboratory DYCOFAC, IRGM-UY1-IRD, P.O. Box 1857, Yaounde, Cameroon; Department of Geography, University of Yaounde 1, P.O. Box 755, Yaounde, Cameroon); Onana, Jean Yannick Ngono (International Joint Laboratory DYCOFAC, IRGM-UY1-IRD, P.O. Box 1857, Yaounde, Cameroon); Dzana, Jean Guy (Department of Geography, University of Yaounde 1, P.O. Box 755, Yaounde, Cameroon); Amougou, Joseph Armathé (Department of Geography, University of Yaounde 1, P.O. Box 755, Yaounde, Cameroon; National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon); Batha, Romain Armand Soleil (National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon); Boyomo, Thomas Magloire Souga (National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon); Mbeih, Gaston Evarice Ndjela (National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon)","Ebodé, Valentin Brice (International Joint Laboratory DYCOFAC, IRGM-UY1-IRD, P.O. Box 1857, Yaounde, Cameroon; University of Yaoundé I)","Ebodé, Valentin Brice (International Joint Laboratory DYCOFAC, IRGM-UY1-IRD, P.O. Box 1857, Yaounde, Cameroon; University of Yaoundé I); Onana, Jean Yannick Ngono (International Joint Laboratory DYCOFAC, IRGM-UY1-IRD, P.O. Box 1857, Yaounde, Cameroon); Dzana, Jean Guy (University of Yaoundé I); Amougou, Joseph Armathé (University of Yaoundé I; National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon); Batha, Romain Armand Soleil (National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon); Boyomo, Thomas Magloire Souga (National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon); Mbeih, Gaston Evarice Ndjela (National Observatory On Climate Change, P.O. Box 1793, Yaounde, Cameroon)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1169145052,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 15 Life on Land
3931,pub.1168752261,10.1007/s11356-024-32142-2,38337118,,Spatial network and influencing factors of green water use efficiency in the YREB: considering carbon emissions and pollution indicators,"Improving green water use efficiency is based on the synergy of reducing pollutants and carbon emissions, and effectively identifying its spatial development structure is a prerequisite for realizing the green transformation of water management. This paper adopted the slacks-based measure- “energy-environment-economy” (SBM-3E) model with carbon emission and pollution indicators as unanticipated outputs to measure the green water use efficiency of the 11 provinces (cities) in the Yangtze River Economic Belt from 2000 to 2018, then analyzed the efficiency network structure evolution by using the social network analysis method, and finally examined the drivers of efficiency networks. The results show that (1) the value of green water utilization efficiency decreases from 0.78 to 0.51, and its spatial distribution is downstream > middlestream > upstream, with the values of 0.41, 0.61, and 0.86, respectively. (2) The overall spatial network efficiency is gradually interconnected, with the density increasing from 0.32 to 0.6; it has undergone a structural evolution from “flat” to “inverted tower.” The core–edge structure of the main body status within the basin has been strengthened. (3) The efficiency network is significantly influenced by water resource endowment, industrial structure, and foreign investment level. The conclusions are expected to provide useful insights for designing the basin’s water protection policy and greening the region’s development.",,"This research was funded by the National Science Foundation of China grant numbers 72074068, U2240223, and 51579064 and by the Social Science Foundation of Jiangsu grant numbers 22SHA003 and 2022ZTYJ02.",Environmental Science and Pollution Research,,,Economic Development; Carbon; Water; Cities; Industry; Efficiency; China,2024-02-10,2024,2024-02-10,2024-03,31,11,17324-17338,All OA; Green,Article,"Zhang, Rui; Zhang, Lingling; Wang, Zongzhi","Zhang, Rui (School of Public Administration, Hohai University, 211100, Nanjing, China); Zhang, Lingling (School of Public Administration, Hohai University, 211100, Nanjing, China); Wang, Zongzhi (Nanjing Hydraulic Research Institute, 210029, Nanjing, China)","Zhang, Rui (Hohai University)","Zhang, Rui (Hohai University); Zhang, Lingling (Hohai University); Wang, Zongzhi (Nanjing Hydraulic Research Institute)",0,0,,,https://www.researchsquare.com/article/rs-3223844/latest.pdf,https://app.dimensions.ai/details/publication/pub.1168752261,37 Earth Sciences; 3704 Geoinformatics; 38 Economics,7 Affordable and Clean Energy
3930,pub.1157519536,10.1007/s11356-023-27174-z,37099097,,"Water quality assessment of deep learning-improved comprehensive pollution index: a case study of Dagu River, Jiaozhou Bay, China","Abstract
In the past few decades, with the country’s rapid development, water pollution has become a significant problem many countries face. Most of the existing water quality evaluation uses a single time-invariant model to simulate the evolution process, which cannot directly describe the complex behavior of long-term water quality evolution. In addition, the traditional comprehensive index method, fuzzy comprehensive evaluation, and gray pattern recognition have more subjective factors. It can lead to an inevitable subjectivity of the results and weak applicability. Given these shortcomings, this paper proposes a deep learning-improved comprehensive pollution index method to predict future water quality development. As a first processing step, the historical data is normalized. Three deep learning models, multilayer perceptron (MLP), recurrent neural network (RNN), and long short-term memory (LSTM), are used to train historical data. The optimal data prediction model is selected through simulation and comparative analysis of relevant measured data, and the improved entropy weight comprehensive pollution index method is applied to evaluate future water quality changes. Compared with the traditional time-invariant evaluation model, the feature of this model is that it can effectively reflect the development of water quality in the future. Moreover, the entropy weight method is introduced to balance the errors caused by subjective weight. The result shows that LSTM performs well in accurately identifying and predicting water quality. And the deep learning–improved comprehensive pollution index method can provide helpful information and enlightenment for water quality change, which can help improve the water quality prediction and scientific management of coastal water resources.",,,Environmental Science and Pollution Research,,,Water Quality; Deep Learning; Rivers; Bays; China,2023-04-26,2023,2023-04-26,2023-05,30,25,66853-66866,Closed,Article,"Yang, Haitao; Jia, Chao; Yang, Fan; Yang, Xiao; Wei, Ruchun","Yang, Haitao (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Jia, Chao (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China; Key Laboratory of Geological Safety of Coastal Urban Underground Space, MNR, 266100, Qingdao, China); Yang, Fan (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Yang, Xiao (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Wei, Ruchun (Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, 266237, Qingdao, Shandong, China; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China)","Jia, Chao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China; Key Laboratory of Geological Safety of Coastal Urban Underground Space, MNR, 266100, Qingdao, China)","Yang, Haitao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Jia, Chao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China; Key Laboratory of Geological Safety of Coastal Urban Underground Space, MNR, 266100, Qingdao, China); Yang, Fan (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Yang, Xiao (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China); Wei, Ruchun (Shandong University; Institute of Marine Geology and Engineering, 266237, Qingdao, Shandong, China)",4,4,,,,https://app.dimensions.ai/details/publication/pub.1157519536,46 Information and Computing Sciences; 4611 Machine Learning,6 Clean Water and Sanitation
3929,pub.1029182238,10.1016/j.watres.2016.11.047,28135596,,Will demography defeat river rehabilitation efforts? The case of the River Jordan,"In the age-old debate between technological optimists and pessimists, desalination has been hailed as a ""game changer"" that can fundamentally alter the dynamics of water management under conditions of scarcity. While water from desalination facilities can reduce uncertainties in municipal supply, they are unlikely to replace the missing flow required to rehabilitate rivers and streams. The Jordan River is an iconic, but highly degraded water body whose restoration has been the subject of extensive research as well as numerous proposals and strategies. A review of the present state of the River and prospects for successful rehabilitation efforts reveals that neither the increase in the riparian population nor the reduced water supply due to climate change in the Jordan basin has been considered sufficiently in restoration strategies. Demographic pressures produce acute water shortages which make the provision of future environmental flows highly unlikely. While much can and should be done to improve its environmental condition, the Jordan River offers a cautionary tale for water scarce regions about the challenge of stream restoration initiatives in the face of accelerated population growth, notwithstanding the potential benefits of desalination as a source of drinking water.",,,Water Research,,,Climate Change; Conservation of Natural Resources; Demography; Jordan; Rivers; Water Supply,2016-12-30,2016,2016-12-30,2017-03,111,,404-419,Closed,Article,"Tal, Alon","Tal, Alon (Chair, Department of Public Policy, Tel Aviv University, Israel)",,"Tal, Alon (Tel Aviv University)",8,0,0.17,1.11,,https://app.dimensions.ai/details/publication/pub.1029182238,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences,6 Clean Water and Sanitation
3926,pub.1165274540,10.2166/wst.2023.340,37966185,,Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective,"This study investigates changes in river flow patterns, in the Hunza Basin, Pakistan, attributed to climate change. Given the anticipated rise in extreme weather events, accurate streamflow predictions are increasingly vital. We assess three machine learning (ML) models - artificial neural network (ANN), recurrent neural network (RNN), and adaptive fuzzy neural inference system (ANFIS) - for streamflow prediction under the Coupled Model Intercomparison Project 6 (CMIP6) Shared Socioeconomic Pathways (SSPs), specifically SSP245 and SSP585. Four key performance indicators, mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2), guide the evaluation. These models employ monthly precipitation, maximum and minimum temperatures as inputs, and discharge as the output, spanning 1985-2014. The ANN model with a 3-10-1 architecture outperforms RNN and ANFIS, displaying lower MSE, RMSE, MAE, and higher R2 values for both training (MSE = 20417, RMSE = 142, MAE = 71, R2 = 0.94) and testing (MSE = 9348, RMSE = 96, MAE = 108, R2 = 0.92) datasets. Subsequently, the superior ANN model predicts streamflow up to 2100 using SSP245 and SSP585 scenarios. These results underscore the potential of ANN models for robust futuristic streamflow estimation, offering valuable insights for water resource management and planning.",,,Water Science & Technology,,,"Climate Change; Neural Networks, Computer; Machine Learning; Rivers; Water Resources",2023-10-25,2023,2023-10-25,2023-11-01,88,9,2309-2331,All OA; Gold,Article,"Khan, Mehran; Khan, Afed Ullah; Khan, Sunaid; Khan, Fayaz Ahmad","Khan, Mehran (National Institute of Urban Infrastructure Planning, University of Engineering and Technology, Peshawar 25000, Pakistan); Khan, Afed Ullah (National Institute of Urban Infrastructure Planning, University of Engineering and Technology, Peshawar 25000, Pakistan; Department of Civil Engineering, University of Engineering and Technology Peshawar (Bannu Campus), Bannu 28100, Pakistan); Khan, Sunaid (National Institute of Urban Infrastructure Planning, University of Engineering and Technology, Peshawar 25000, Pakistan); Khan, Fayaz Ahmad (National Institute of Urban Infrastructure Planning, University of Engineering and Technology, Peshawar 25000, Pakistan)","Khan, Afed Ullah (University of Engineering and Technology Peshawar; University of Engineering and Technology Peshawar)","Khan, Mehran (University of Engineering and Technology Peshawar); Khan, Afed Ullah (University of Engineering and Technology Peshawar; University of Engineering and Technology Peshawar); Khan, Sunaid (University of Engineering and Technology Peshawar); Khan, Fayaz Ahmad (University of Engineering and Technology Peshawar)",1,1,,,https://iwaponline.com/wst/article-pdf/88/9/2309/1323547/wst088092309.pdf,https://app.dimensions.ai/details/publication/pub.1165274540,37 Earth Sciences; 3701 Atmospheric Sciences; 46 Information and Computing Sciences,13 Climate Action
3921,pub.1085966629,10.1007/s11356-017-9275-z,28602000,,"Integrated waste load allocation for river water pollution control under uncertainty: a case study of Tuojiang River, China","This paper presents a bi-level optimization waste load allocation programming model under a fuzzy random environment to assist integrated river pollution control. Taking account of the leader-follower decision-making in the water function zones framework, the proposed approach examines the decision making feedback relationships and conflict coordination between the river basin authority and the regional Environmental Protection Agency (EPA) based on the Stackelberg-Nash equilibrium strategy. In the pollution control system, the river basin authority, as the leader, allocates equitable emissions rights to different subareas, and the then subarea EPA, as the followers, reallocates the limited resources to various functional zones to minimize pollution costs. This research also considers the uncertainty in the water pollution management, and the uncertain input information is expressed as fuzzy random variables. The proposed methodological approach is then applied to Tuojiang River in China and the bi-level linear programming model solutions are achieved using the Karush-Kuhn-Tucker condition. Based on the waste load allocation scheme results and various scenario analyses and discussion, some operational policies are proposed to assist decision makers (DMs) cope with waste load allocation problem for integrated river pollution control for the overall benefits.","The work is supported by the National Natural Science Foundation for Young Scholars of China (Grant No. 71301109), Soft Science Program of Sichuan Province (Grant No. 2017ZR0154), the Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China (Grant No. 20130181110063), and Key Program of National Natural Science Foundation of China (Grant No. 70831005).",,Environmental Science and Pollution Research,,,China; Conservation of Natural Resources; Rivers; Uncertainty; Water Pollution,2017-06-10,2017,2017-06-10,2017-07,24,21,17741-17759,Closed,Article,"Xu, Jiuping; Hou, Shuhua; Yao, Liming; Li, Chaozhi","Xu, Jiuping (State Key & Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610064, Chengdu, People’s Republic of China; Uncertainty Decision-Making Laboratory, Sichuan University, 610064, Chengdu, People’s Republic of China); Hou, Shuhua (Uncertainty Decision-Making Laboratory, Sichuan University, 610064, Chengdu, People’s Republic of China); Yao, Liming (State Key & Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610064, Chengdu, People’s Republic of China; Uncertainty Decision-Making Laboratory, Sichuan University, 610064, Chengdu, People’s Republic of China); Li, Chaozhi (Neijiang Survey and Design Institute of Water Conservancy and Hydropower, 641000, Neijiang, People’s Republic of China)","Xu, Jiuping (Sichuan University; Sichuan University)","Xu, Jiuping (Sichuan University; Sichuan University); Hou, Shuhua (Sichuan University); Yao, Liming (Sichuan University; Sichuan University); Li, Chaozhi (Neijiang Survey and Design Institute of Water Conservancy and Hydropower, 641000, Neijiang, People’s Republic of China)",32,7,1.24,4.28,,https://app.dimensions.ai/details/publication/pub.1085966629,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,
3920,pub.1113261520,10.1038/s41598-019-41287-x,30952875,PMC6450894,Dry season habitat use of fishes in an Australian tropical river,"The modification of river flow regimes poses a significant threat to the world’s freshwater ecosystems. Northern Australia’s freshwater resources, particularly dry season river flows, are being increasingly modified to support human development, potentially threatening aquatic ecosystems and biodiversity, including fish. More information is urgently needed on the ecology of fishes in this region, including their habitat requirements, to support water policy and management to ensure future sustainable development. This study used electrofishing and habitat survey methods to quantify the dry season habitat use of 20 common freshwater fish taxa in the Daly River in Australia’s wet-dry tropics. Of twenty measured habitat variables, water depth and velocity were the two most important factors discriminating fish habitat use for the majority of taxa. Four distinct fish habitat guilds were identified, largely classified according to depth, velocity and structural complexity. Ontogenetic shifts in habitat use were also observed in three species. This study highlights the need to maintain dry season river flows that support a diversity of riverine mesohabitats for freshwater fishes. In particular, shallow fast-flowing areas provided critical nursery and refuge habitats for some species, but are vulnerable to water level reductions due to water extraction. By highlighting the importance of a diversity of habitats for fishes, this study assists water managers in future decision making on the ecological risks of water extractions from tropical rivers, and especially the need to maintain dry season low flows to protect the habitats of native fish.","We are indebted to a large number of people for their assistance and hard work in the field over the period of study. This study was funded through various Australian Commonwealth Government organisations, including the Tropical River and Coastal Knowledge programme and National Environmental Science Program - Northern Australia Environmental Resources Hub. Funding and in-kind support was also received from the Northern Territory Government. We also gratefully acknowledge the Wagiman, Wardaman, and Jawoyn people, traditional indigenous owners of that part of the Daly River in which this study took place. We also want to highlight the ongoing collaboration with Wagiman Traditional Owners, particularly Mona Liddy and Elizabeth Sullivan, through a series of research agreements and steering committees. Wagiman Traditional Owners have been involved in project planning, field data collection and the sharing of cultural knowledge and protocols as part of their cultural responsibilities to managing country and to ensure safe travels for researchers on Wagiman land and waters.",,Scientific Reports,,,Animals; Australia; Biodiversity; Conservation of Natural Resources; Ecology; Ecosystem; Fishes; Fresh Water; Rivers; Seafood; Seasons; Water,2019-04-05,2019,2019-04-05,,9,1,5677,All OA; Gold,Article,"Keller, K.; Allsop, Q.; Brim Box, J.; Buckle, D.; Crook, D. A.; Douglas, M. M.; Jackson, S.; Kennard, M. J.; Luiz, O. J.; Pusey, B. J.; Townsend, S. A.; King, A. J.","Keller, K. (Research Institute for the Environment and Livelihoods, Engineering Health Science & Environment, Charles Darwin University, 0909, Darwin, NT, Australia); Allsop, Q. (Department of Primary Industry and Resources, Berrimah Road, 0828, Berrimah, NT, Australia); Brim Box, J. (Department of Environment and Natural Resources, 0870, Alice Springs, NT, Australia); Buckle, D. (Research Institute for the Environment and Livelihoods, Engineering Health Science & Environment, Charles Darwin University, 0909, Darwin, NT, Australia); Crook, D. A. (Research Institute for the Environment and Livelihoods, Engineering Health Science & Environment, Charles Darwin University, 0909, Darwin, NT, Australia); Douglas, M. M. (Research Institute for the Environment and Livelihoods, Engineering Health Science & Environment, Charles Darwin University, 0909, Darwin, NT, Australia; School of Earth and Environment, University of Western Australia, 6009, Perth, WA, Australia); Jackson, S. (Australian Rivers Institute, Griffith University, Kessels Road, 4111, Nathan, QLD, Australia); Kennard, M. J. (Australian Rivers Institute, Griffith University, Kessels Road, 4111, Nathan, QLD, Australia); Luiz, O. J. (Research Institute for the Environment and Livelihoods, Engineering Health Science & Environment, Charles Darwin University, 0909, Darwin, NT, Australia); Pusey, B. J. (Research Institute for the Environment and Livelihoods, Engineering Health Science & Environment, Charles Darwin University, 0909, Darwin, NT, Australia; Australian Rivers Institute, Griffith University, Kessels Road, 4111, Nathan, QLD, Australia); Townsend, S. A. (Water Resources Division, Department of Environment and Natural Resources, 0830, Palmerston, NT, Australia); King, A. J. (Research Institute for the Environment and Livelihoods, Engineering Health Science & Environment, Charles Darwin University, 0909, Darwin, NT, Australia)","Keller, K. (Charles Darwin University)","Keller, K. (Charles Darwin University); Allsop, Q. (Department of Primary Industry and Resources); Brim Box, J. (Department of Environment and Natural Resources, 0870, Alice Springs, NT, Australia); Buckle, D. (Charles Darwin University); Crook, D. A. (Charles Darwin University); Douglas, M. M. (Charles Darwin University; University of Western Australia); Jackson, S. (Griffith University); Kennard, M. J. (Griffith University); Luiz, O. J. (Charles Darwin University); Pusey, B. J. (Charles Darwin University; Griffith University); Townsend, S. A. (Water Resources Division, Department of Environment and Natural Resources, 0830, Palmerston, NT, Australia); King, A. J. (Charles Darwin University)",14,7,0.35,2.09,https://www.nature.com/articles/s41598-019-41287-x.pdf,https://app.dimensions.ai/details/publication/pub.1113261520,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4104 Environmental Management,15 Life on Land; 6 Clean Water and Sanitation
3919,pub.1168315946,10.1007/s10661-024-12358-y,38279061,,"Ecosystem health evaluation based on land use change—case study of the riparian zone of the Yangtze River in Jiangsu Province, China","Evaluating the ecosystem health of riparian zones is helpful for decision-makers to formulate appropriate management measures. However, there are few methods for such evaluation which account for both the human requirements and ecological aspects of riparian zones. To address this, we created a Pressure-State(Vigor-Organization-Resilience)-Response framework for evaluating the ecosystem health of the riparian zone of the Yangtze River in Jiangsu Province, a region experiencing intense land use changes. Evaluation indicators, including land use change and ecosystem services, were selected. The comprehensive index method was used to calculate the evaluation indicators of ecosystem health, namely pressure, state, and response, and the comprehensive evaluation indicator itself. Using the cold and hot spot analysis, we also analyzed the spatial heterogeneity of ecosystem health in the riparian zone, constructed an ecological management pattern, and proposed corresponding management and protection measures. The results show that (1) from 2010 to 2020, construction land in the study area increased by more than 20%, and all studied land types underwent some degree of conversion to construction land, with cultivated land and water bodies being the main focus of conversion. (2) In 2020, the average ecosystem health in the riparian zone was normal, with a spatial distribution characterized by “high dispersion and low clustering”; and (3) according to the results of the ecosystem health evaluation and cold and hot spot analysis, key areas for stronger ecological protection were identified and, based on this, a number of management recommendations were proposed.",,"We gratefully acknowledge financial support from the Water Conservancy Science and Technology Project of Jiangsu Province, China (2022013).",Environmental Monitoring and Assessment,,,Humans; Ecosystem; Rivers; Environmental Monitoring; China; Conservation of Natural Resources,2024-01-27,2024,2024-01-27,2024-02,196,2,206,Closed,Article,"Li, Yan; Deng, Mingjiang; Fang, Guohua; Lu, Yangyang; Sun, Changran; Zhu, Zihan","Li, Yan (College of Water Conservancy and Hydropower Engineering, Hohai University, 210098, Nanjing, China); Deng, Mingjiang (College of Water Conservancy and Hydropower Engineering, Hohai University, 210098, Nanjing, China; Xinjiang Association for Science and Technology, 830000, Urumqi, China); Fang, Guohua (College of Water Conservancy and Hydropower Engineering, Hohai University, 210098, Nanjing, China); Lu, Yangyang (College of Water Conservancy and Hydropower Engineering, Hohai University, 210098, Nanjing, China); Sun, Changran (College of Water Conservancy and Hydropower Engineering, Hohai University, 210098, Nanjing, China); Zhu, Zihan (College of Water Conservancy and Hydropower Engineering, Hohai University, 210098, Nanjing, China)","Fang, Guohua (Hohai University)","Li, Yan (Hohai University); Deng, Mingjiang (Hohai University; Xinjiang Association for Science and Technology, 830000, Urumqi, China); Fang, Guohua (Hohai University); Lu, Yangyang (Hohai University); Sun, Changran (Hohai University); Zhu, Zihan (Hohai University)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168315946,37 Earth Sciences; 3704 Geoinformatics; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
3919,pub.1151840789,10.3390/ijerph192013127,36293705,PMC9602706,"Evaluation of Empirical and Machine Learning Approaches for Estimating Monthly Reference Evapotranspiration with Limited Meteorological Data in the Jialing River Basin, China","The accurate estimation of reference evapotranspiration (ET0) is crucial for water resource management and crop water requirements. This study aims to develop an efficient and accurate model to estimate the monthly ET0 in the Jialing River Basin, China. For this purpose, a relevance vector machine, complex extreme learning machine (C-ELM), extremely randomized trees, and four empirical equations were developed. Monthly climatic data including mean air temperature, solar radiation, relative humidity, and wind speed from 1964 to 2014 were used as inputs for modeling. A total comparison was made between all constructed models using four statistical indicators, i.e., the coefficient of determination (R2), Nash efficiency coefficient (NSE), root mean square error (RMSE) and mean absolute error (MAE). The outcome of this study revealed that the Hargreaves equation (R2 = 0.982, NSE = 0.957, RMSE = 7.047 mm month-1, MAE = 5.946 mm month-1) had better performance than the other empirical equations. All machine learning models generally outperformed the studied empirical equations. The C-ELM model (R2 = 0.995, NSE = 0.995, RMSE = 2.517 mm month-1, MAE = 1.966 mm month-1) had the most accurate estimates among all generated models and can be recommended for monthly ET0 estimation in the Jialing River Basin, China.",We would like to express our appreciation to the Chinese Meteorological Administration Bureau for supplying the meteorological data for this work.,"This research was jointly supported by the National Natural Science Foundation of China projects (grant number: 41830648), the National Major Projects on High-Resolution Earth Observation System (No. 21-Y20B01-9001-19/22), and the Fundamental Research Funds for the Central Universities (No. SWU118062).",International Journal of Environmental Research and Public Health,,Paul B. Tchounwou,Rivers; Machine Learning; Wind; Meteorology; Water,2022-10-12,2022,2022-10-12,,19,20,13127,All OA; Gold,Article,"Luo, Jia; Dou, Xianming; Ma, Mingguo","Luo, Jia (Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China); Dou, Xianming (Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China); Ma, Mingguo (Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China)","Dou, Xianming (Southwest University; Southwest University)","Luo, Jia (Southwest University; Southwest University); Dou, Xianming (Southwest University; Southwest University); Ma, Mingguo (Southwest University; Southwest University)",3,3,,1.29,https://www.mdpi.com/1660-4601/19/20/13127/pdf?version=1665650121,https://app.dimensions.ai/details/publication/pub.1151840789,37 Earth Sciences; 3701 Atmospheric Sciences,
3918,pub.1009671876,10.1007/s00267-016-0684-4,26961419,,Application of Effective Discharge Analysis to Environmental Flow Decision-Making,"Abstract
Well-informed river management decisions rely on an explicit statement of objectives, repeatable analyses, and a transparent system for assessing trade-offs. These components may then be applied to compare alternative operational regimes for water resource infrastructure (e.g., diversions, locks, and dams). Intra- and inter-annual hydrologic variability further complicates these already complex environmental flow decisions. Effective discharge analysis (developed in studies of geomorphology) is a powerful tool for integrating temporal variability of flow magnitude and associated ecological consequences. Here, we adapt the effectiveness framework to include multiple elements of the natural flow regime (i.e., timing, duration, and rate-of-change) as well as two flow variables. We demonstrate this analytical approach using a case study of environmental flow management based on long-term (60 years) daily discharge records in the Middle Oconee River near Athens, GA, USA. Specifically, we apply an existing model for estimating young-of-year fish recruitment based on flow-dependent metrics to an effective discharge analysis that incorporates hydrologic variability and multiple focal taxa. We then compare three alternative methods of environmental flow provision. Percentage-based withdrawal schemes outcompete other environmental flow methods across all levels of water withdrawal and ecological outcomes.","The U.S. Army Corps of Engineers funded this research through the Ecosystem Management and Restoration Research Program (http://www.el.erdc.usace.army.mil/emrrp/) and the long-term training program. The opinions reflected here are those of the authors and do not necessarily reflect those of the agency. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Rhett Jackson, John Schramski, and three anonymous referees reviewed a prior version of this document, and their constructive feedback is appreciated.",,Environmental Management,,,"Animals; Decision Making; Environmental Monitoring; Fishes; Georgia; Hydrology; Models, Theoretical; Rivers; Seasons; Water Movements; Water Resources",2016-03-10,2016,2016-03-10,2016-06,57,6,1153-1165,Closed,Article,"McKay, S. Kyle; Freeman, Mary C.; Covich, Alan P.","McKay, S. Kyle (Environmental Laboratory, U.S. Army Engineer Research and Development Center, Athens, GA, USA); Freeman, Mary C. (Patuxent Wildlife Research Center, U.S. Geological Survey, Athens, GA, USA); Covich, Alan P. (Odum School of Ecology, University of Georgia, Athens, GA, USA)","McKay, S. Kyle (Environmental Laboratory, U.S. Army Engineer Research and Development Center, Athens, GA, USA)","McKay, S. Kyle (Environmental Laboratory, U.S. Army Engineer Research and Development Center, Athens, GA, USA); Freeman, Mary C. (United States Geological Survey); Covich, Alan P. (University of Georgia)",5,1,0.07,0.65,,https://app.dimensions.ai/details/publication/pub.1009671876,37 Earth Sciences; 3707 Hydrology,
3916,pub.1142236961,10.1007/s11356-021-16969-7,34713405,,"Evolution and the drivers of water use efficiency in the water-deficient regions: a case study on Ω-shaped Region along the Yellow River, China","Enhancement of water use efficiency (WUE) is considered highly important to cope with the water scarcity challenges in dry regions. Therefore, this study evaluated spatiotemporal characteristics of WUE and its related drivers in the Ω-shaped Region along the Yellow River aiming to provide decision support information for alleviating water shortages in this region. We employed the SBM-DEA (slacks-based measure-data envelopment analysis) model to calculate the WUE considering undesired outputs, analyze temporal and spatial variation based on GIS and statistical methods, and investigate the various factors that influence WUE based on the generalized method of moment (GMM) model. The results are as follows. (1) The WUE followed an increasing–decreasing-increasing trend, suggesting that the expanding agricultural and the second industrial structures are largely dominated by water-intensive activities which add further pressure on the water resources. (2) The spatial discrepancy of WUE among the cities is significant; however, the spatial pattern changes were stable during 2010 to 2019. (3) Analysis of influencing factors provides solutions for improving WUE in the Ω-shaped Region. Irrigation system and water conservancy infrastructure development and the acceleration of industrial transformation are necessary for improving the WUE in the Ω-shaped Region.",,,Environmental Science and Pollution Research,,,China; Cities; Efficiency; Rivers; Water; Water Resources; Water Supply,2021-10-29,2021,2021-10-29,2022-03,29,13,19324-19336,Closed,Article,"Liu, Gang; Najmuddin, Omaid; Zhang, Fan","Liu, Gang (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China; University of Chinese Academy of Sciences, 100149, Beijing, China); Najmuddin, Omaid (School of Internet Economics and Business, Fujian University of Technology, 350118, Fuzhou, Fujian, China); Zhang, Fan (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China)","Zhang, Fan (Institute of Geographic Sciences and Natural Resources Research)","Liu, Gang (Institute of Geographic Sciences and Natural Resources Research; University of Chinese Academy of Sciences); Najmuddin, Omaid (Fujian University of Technology); Zhang, Fan (Institute of Geographic Sciences and Natural Resources Research)",10,10,0.45,5.69,,https://app.dimensions.ai/details/publication/pub.1142236961,37 Earth Sciences; 3704 Geoinformatics,6 Clean Water and Sanitation
3916,pub.1157473798,10.1007/s11356-023-27065-3,37095213,PMC10182953,Assessment of the correlation between the nutrient load from migratory bird excrement and water quality by principal component analysis in a freshwater habitat,"Abstract
Waterbirds depend on a dispersed network of wetlands for their annual life cycle during migration. Climate and land use changes raise new concerns about the sustainability of these habitat networks, as water scarcity triggers ecological and socioeconomic impacts threatening wetland availability and quality. During the migration period, birds can be present in large enough numbers to influence water quality themselves linking them and water management in efforts to conserve habitats for endangered populations. Despite this, the guidelines within laws do not properly account for the annual change of water quality due to natural factors such as the migration periods of birds. Principal component analysis and principal component regression was used to analyze the correlations between the presence of a multitude of migratory waterbird communities and water quality metrics based on a dataset collected over four years in the Dumbrăvița section of the Homoród stream in Transylvania. The results reveal a correlation between the presence and numbers of various bird species and the seasonal changes in water quality. Piscivorous birds tended to increase the phosphorus load, herbivorous waterbirds the nitrogen load, while benthivorous duck species influenced a variety of parameters. The established PCR water quality prediction model showed accurate prediction capabilities for the water quality index of the observed region. For the tested data set, the method provided an R2 value of 0.81 and a mean squared prediction error of 0.17.",The research presented in the article was carried out within the framework of the Széchenyi Plan Plus program with the support of the RRF-2.3.1-21-2022-00008 project.,Open access funding provided by University of Pannonia. The research presented in the article was carried out within the framework of the Széchenyi Plan Plus program with the support of the RRF-2.3.1–21-2022–00008 project.,Environmental Science and Pollution Research,,,Animals; Water Quality; Principal Component Analysis; Ecosystem; Birds; Wetlands; Rivers; Conservation of Natural Resources,2023-04-25,2023,2023-04-25,2023-05,30,24,66033-66049,All OA; Hybrid,Article,"Tóth, Piroska; Tarcsay, Bálint Levente; Kovács, Zsófia; Ionescu, Dan Traian; Németh, Sándor; Domokos, Endre","Tóth, Piroska (Sustainability Solutions Research Lab, Research Centre for Biochemical, Environmental and Chemical Engineering, University of Pannonia, Veszprém, Hungary); Tarcsay, Bálint Levente (Department of Process Engineering, University of Pannonia, Veszprém, Hungary); Kovács, Zsófia (Sustainability Solutions Research Lab, Research Centre for Biochemical, Environmental and Chemical Engineering, University of Pannonia, Veszprém, Hungary; National Laboratory for Water Science and Water Security, Research for Biochemical, Environmental and Chemical Engineering, Sustainability Solutions Research Lab, University of Pannonia, Veszprém, Hungary); Ionescu, Dan Traian (Department of Forest Engineering, Transilvania University of Brașov, Brașov, Romania); Németh, Sándor (Department of Process Engineering, University of Pannonia, Veszprém, Hungary); Domokos, Endre (Sustainability Solutions Research Lab, Research Centre for Biochemical, Environmental and Chemical Engineering, University of Pannonia, Veszprém, Hungary)","Tóth, Piroska (University of Pannonia)","Tóth, Piroska (University of Pannonia); Tarcsay, Bálint Levente (University of Pannonia); Kovács, Zsófia (University of Pannonia; University of Pannonia); Ionescu, Dan Traian (Transylvania University of Brașov); Németh, Sándor (University of Pannonia); Domokos, Endre (University of Pannonia)",0,0,,,https://link.springer.com/content/pdf/10.1007/s11356-023-27065-3.pdf,https://app.dimensions.ai/details/publication/pub.1157473798,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land; 6 Clean Water and Sanitation
3916,pub.1152483530,10.1016/j.envres.2022.114721,36343716,,"Aquatic environmental fates and risks of benzotriazoles, benzothiazoles, and p-phenylenediamines in a catchment providing water to a megacity of China","Wearing of vehicle parts could release many chemical additives into the environment, such as benzotriazoles (BTRs), benzothiazoles (BTHs), and p-phenylenediamines (PPDs), which are potentially toxic to wildlife and humans. This study investigated the occurrence, source, and risks of BTRs, BTHs, and PPDs in a source catchment providing water to Guangzhou, a megacity in South China, covering groundwater, surface water, and stormwater. The results showed that BTRs and BTHs were predominant in surface water and groundwater. Unexpectedly, the BTR and BTH concentrations were lower in surface water than groundwater in a third of the paired samples. For the first time, 6PPD-quinone, a toxic ozonation product of N-(1,3-dimethylbutyl)-N'-phenyl-1,4-phenylenediamine (6PPD), was extensively detected in source waters. Stormwater decreased the BTR concentrations but increased the 6PPD-quinone concentrations in surface water owing to their affiliation to suspended particles. From natural to urban segments of Liuxi river, a downstream increasing trend in BTR and BTH concentrations was observed, confirming that they are indicative of urban anthropogenic activities. Strong correlations between industrial activities and BTR or BTH concentrations in surface water indicated that industrial activities were their main sources. Six compounds were prioritized as potentially persistent, mobile, and toxic (PMT) chemicals, combing our monitoring results and REACH criterion. This study improves our understanding of the environmental fates and risks of water-soluble tire-wear chemicals, which provides important information for chemical management, and indicates attention should be paid to the risk posed by 6PPD-quinone in the source water.","This work was supported by the National Natural Science Foundation of China (42192510 and 42107120), the Alliance of International Science Organizations (ANSO-CR-KP-2021-05), Guangdong Foundation for Program of Science and Technology Research (2017BT01Z134 and 2021A1515011557), Science and Technology Service Network Project of Chinese Academy of Sciences (KFJ-STS-QYZX-091), Tuguangchi Award for Excellent Young Scholar GIG, the State Key Laboratory of Organic Geochemistry, GIGCAS (SKLOG 2020-9) and Youth Innovation Promotion Association CAS (2022359). Many thanks to Chen Huang, Tingting Li, Hongxing Jiang, Bolong Zhang, Jiao Tang, and Yingjian Shao for their contribution to this work.",,Environmental Research,,,"Humans; Benzothiazoles; China; Cities; Environmental Monitoring; Phenylenediamines; Water Pollutants, Chemical; Groundwater; Benzoquinones; Rivers; Anthropogenic Effects; Water Resources",2022-11-04,2022,2022-11-04,2023-01,216,Pt 4,114721,Closed,Article,"Zhang, Ruiling; Zhao, Shizhen; Liu, Xin; Tian, Lele; Mo, Yangzhi; Yi, Xin; Liu, Shiyang; Liu, Jiaqi; Li, Jun; Zhang, Gan","Zhang, Ruiling (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China.); Zhao, Shizhen (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China; Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou, 510640, China. Electronic address: zhaoshizhen@gig.ac.cn.); Liu, Xin (Anti-Drug Technology Center of Guangdong Province and National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou, 510230, China.); Tian, Lele (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China.); Mo, Yangzhi (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.); Yi, Xin (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China.); Liu, Shiyang (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China.); Liu, Jiaqi (Guangzhou Analytical Applications Center, Shimadzu (China) Co., LTD, Guangzhou, 510656, China.); Li, Jun (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China; Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou, 510640, China.); Zhang, Gan (State Key Laboratory of Organic Geochemistry and Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China; Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou, 510640, China.)","Zhao, Shizhen (Guangzhou Institute of Geochemistry; Key Laboratory of Guangdong Province)","Zhang, Ruiling (Guangzhou Institute of Geochemistry; University of Chinese Academy of Sciences); Zhao, Shizhen (Guangzhou Institute of Geochemistry; Key Laboratory of Guangdong Province); Liu, Xin (Anti-Drug Technology Center of Guangdong Province and National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou, 510230, China.); Tian, Lele (Guangzhou Institute of Geochemistry; University of Chinese Academy of Sciences); Mo, Yangzhi (Guangzhou Institute of Geochemistry); Yi, Xin (Guangzhou Institute of Geochemistry; University of Chinese Academy of Sciences); Liu, Shiyang (Guangzhou Institute of Geochemistry; University of Chinese Academy of Sciences); Liu, Jiaqi (Guangzhou Analytical Applications Center, Shimadzu (China) Co., LTD, Guangzhou, 510656, China.); Li, Jun (Guangzhou Institute of Geochemistry; Key Laboratory of Guangdong Province); Zhang, Gan (Guangzhou Institute of Geochemistry; Key Laboratory of Guangdong Province)",15,15,4.07,5.8,,https://app.dimensions.ai/details/publication/pub.1152483530,41 Environmental Sciences; 4105 Pollution and Contamination,
3914,pub.1149182180,10.1016/j.watres.2022.118805,35949073,,Optimization of water quality monitoring programs by data mining,"Water quality monitoring programs are essential planning and management tools, but they face many challenges in the developing world. The scarcity of financial and human resources and the unavailability of infrastructure often make it impossible to meet the legal requirements of water monitoring. Many approaches to optimizing water quality monitoring programs have already been proposed. However, few investigations have developed and tested data mining for this purpose. This article has developed data-based models to reduce the number of water quality parameters of monitoring programs using data mining. The objective was to extract patterns from the database, expressed by association rules, which together with field parameters, measured with automatic probes, can estimate laboratory variables. This approach was applied in 35 monitoring stations along 27 river basins throughout Brazil. The data are from fifty years of monitoring (1971-2021), constituting 6328 observations of 60 water quality parameters investigated in different environmental contexts, water quality, and the structuring of monitoring programs. With the applied approach it was possible to estimate 56% of the laboratory parameters in the monitoring stations investigated. The influence of environmental characteristics on the optimization capacity of monitoring programs was evident. The methodology used was not influenced by different water quality levels and anthropogenic impacts. However, the number of parameters was the most influential element in optimization. Monitoring programs with 20 or more water quality variables have the highest potential (≥44%) of optimization by this methodology. Results demonstrate that this approach is a promising alternative that can reduce the frequency of analyses measured in the laboratory and increase the spatial and temporal coverage of water quality monitoring networks.",Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,Water Research,,,"Brazil; Data Mining; Environmental Monitoring; Humans; Rivers; Water Pollutants, Chemical; Water Quality",2022-07-02,2022,2022-07-02,2022-08,221,,118805,Closed,Article,"Barcellos, Demian da Silveira; Souza, Fábio Teodoro de","Barcellos, Demian da Silveira (Graduate Program in Urban Management (PPGTU), Pontifical Catholic University of Paraná (PUCPR), 1155 Imaculada Conceição St, Curitiba, Brazil. Electronic address: demian.barcellos@gmail.com.); Souza, Fábio Teodoro de (Graduate Program in Urban Management (PPGTU), Pontifical Catholic University of Paraná (PUCPR), 1155 Imaculada Conceição St, Curitiba, Brazil; Center for Economics and Corporate Sustainability (CEDON), Catholic University of Leuven (KU Leuven), Warmoesberg 27, Brussels, Belgium.)","Barcellos, Demian da Silveira (Pontifícia Universidade Católica do Paraná)","Barcellos, Demian da Silveira (Pontifícia Universidade Católica do Paraná); Souza, Fábio Teodoro de (Pontifícia Universidade Católica do Paraná; KU Leuven)",16,16,1.8,7.53,,https://app.dimensions.ai/details/publication/pub.1149182180,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
3913,pub.1092501006,10.1007/s11356-017-0610-1,29098589,,Integrating water quality responses to best management practices in Portugal,"Nutrient nonpoint pollution has a significant impact on water resources worldwide. The main challenge of this work was to assess the application of best management practices in agricultural land to comply with water quality legislation for surface waters. The Hydrological Simulation Program—FORTRAN was used to evaluate water quality of Ave River in Portugal. Best management practices (infiltration basin) (BMP) were applied to agricultural land (for 3, 6, 9, 12, and 15% area) with removal efficiencies of 50% for fecal coliforms and 30% for nitrogen, phosphorus, and biochemical oxygen demand. The inflow of water quality constituents was reduced for all scenarios, with fecal coliforms achieving the highest reduction between 5.8 and 28.9% and nutrients and biochemical oxygen demand between 2 and 13%. Biochemical oxygen demand and orthophosphates concentrations achieved a good water quality status according to the European Legislation for scenarios of BMP applied to 3 and 12% agricultural area, respectively. Fecal coliform levels in Ave River basin require further treatment to fall below the established value in the abovementioned legislation. This study shows that agricultural watersheds such as Ave basins demand special attention in regard to nonpoint pollution sources effects on water quality and nutrient loads.",Vítor J.P. Vilar acknowledges the FCT Investigator 2013 Programme (IF/00273/2013). André R. Fonseca aslo acknowledges his doctoral fellowship (SFRH/BD/69654/2010) supported by FCT.,"This work was financially supported by Project POCI-01-0145-FEDER-006984—Associate Laboratory LSRE-LCM funded by FEDER through COMPETE2020 - Programa Operacional Competitividade e Internacionalização (POCI)—and by national funds through FCT—Fundação para a Ciência e a Tecnologia. This work was also supported the R&D project INTERACT—Integrative Research in Environment, Agro-Chain and Technology—in its research line BEST, NORTE-01-0145-FEDER-000017, co-funded by FEDER/NORTE 2020 (Programa Operacional Regional do Norte 2014/2020). It was also supported by FEDER/COMPETE/POCI—Operational Competitiveness and Internationalization Programme, POCI-01-0145-FEDER-006958, and by FCT—Portuguese Foundation for Science and Technology, UID/AGR/04033/2013.",Environmental Science and Pollution Research,,,"Agriculture; Biological Oxygen Demand Analysis; Environmental Monitoring; Models, Theoretical; Nitrogen; Phosphorus; Portugal; Rivers; Water Pollution; Water Quality",2017-11-03,2017,2017-11-03,2018-01,25,2,1587-1596,Closed,Article,"Fonseca, André; Boaventura, Rui A. R.; Vilar, Vítor J. P.","Fonseca, André (Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, Universidade de Trás-os-Montes e Alto Douro, UTAD, 5000-801, Vila Real, Portugal); Boaventura, Rui A. R. (Laboratory of Separation and Reaction Engineering-Laboratory of Catalysis and Materials (LSRE-LCM), Department of Chemical Engineering, Faculty of Engineering of the University of Porto, Porto, Portugal); Vilar, Vítor J. P. (Laboratory of Separation and Reaction Engineering-Laboratory of Catalysis and Materials (LSRE-LCM), Department of Chemical Engineering, Faculty of Engineering of the University of Porto, Porto, Portugal)","Fonseca, André (University of Trás-os-Montes and Alto Douro); Vilar, Vítor J. P. (University of Porto)","Fonseca, André (University of Trás-os-Montes and Alto Douro); Boaventura, Rui A. R. (University of Porto); Vilar, Vítor J. P. (University of Porto)",17,4,0.74,2.34,,https://app.dimensions.ai/details/publication/pub.1092501006,"30 Agricultural, Veterinary and Food Sciences; 3002 Agriculture, Land and Farm Management; 40 Engineering; 4011 Environmental Engineering; 41 Environmental Sciences; 4104 Environmental Management",15 Life on Land; 6 Clean Water and Sanitation
3913,pub.1136653617,10.1016/j.jenvman.2021.112384,33773213,,Quantifying the dynamics of sub-daily to seasonal hydrological interactions of Ganges river with groundwater in a densely populated city: Implications to vulnerability of drinking water sources,"Groundwater resources in South Asian cities are facing immense stress due to over-extraction leading to environmental, social and economic instabilities. The perennial mega rivers of Himalayas form the lifeline for South Asia, underpinning food and water security for a large population both directly and indirectly through exchange with groundwater systems. The present study delineates the spatio-temporal variation in patterns and processes of sub-hourly to annual-scale hydrological exchanges between the Ganges and its adjoining highly exploited aquifer in a urban-peri urban reach. Multivariate statistical analyses established river water-groundwater interaction in this region with ~40% loading of first principal component, i.e river water during monsoon on the shallow aquifer. The part of the aquifer detached from the main confined aquifer show an influence of precipitation (the second principal component) with loading of ~90%. Again the part of the aquifer suffering infiltration of local surface water bodies show effect of precipitation with a second principal loading of ~80%. Fourier transformation is used in the hydrograph to remove influence of heavy urbanization on the hydrographs. This study proves that the phenomenon of infiltrating river water during monsoon plays a primary role in controlling aquifer storage although contaminating the aquifer simultaneously. However, during pre and post-monsoon the flow path reversal helps in maintaining river baseflow. Cross-correlation between the river and piezometric series show increased delay of pressure head propagation of the infiltrating river waterfront, with increasing distance. These observations are also substantiated by stable isotope signatures. The present study provides an understanding of potential groundwater vulnerability resulting from waste water and irrigational contamination through river water intrusion which would eventually lead the government to implement proper water and environmental management policies towards availability of long-term sustainable water resources for the residents.","The authors are thankful to the Government of Uttar Pradesh for their constant support during the fieldwork. The authors also like to thank Dr. Arindam Basu and Ms. Madhumita Chakraborty for support wherever needed. The work was primarily supported by Government of India, Ministry of Human Resource Development Project SANDHI at IIT Kharagpur and partly supported by the Department of Science and Technology (DST), Government of India (vide no. DST/TM/INDO-UK/2K17/55(C) 55(G) through NERC-DST Newton-Bhabha project FAR-GANGA (NE/R003386/1).",,Journal of Environmental Management,,,"Asia; Cities; Drinking Water; Environmental Monitoring; Groundwater; Rivers; Seasons; Water Pollutants, Chemical",2021-03-25,2021,2021-03-25,2021-06,288,,112384,Closed,Article,"Das, Prerona; Mukherjee, Abhijit; Lapworth, Dan J; Das, Kousik; Bhaumik, Sumitro; Layek, Mrinal K; Shaw, Ashok; Smith, Martin; Sengupta, Probal; MacDonald, Alan M; Sen, Joy","Das, Prerona (Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721 302, India.); Mukherjee, Abhijit (Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721 302, India; School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, 721 302, India; Applied Policy Advisory to Hydrogeosciences Group, Indian Institute of Technology, Kharagpur, 721302, India. Electronic address: amukh2@gmail.com.); Lapworth, Dan J (British Geological Survey, Maclean Building, Wallingford, OX10 8BB, UK.); Das, Kousik (School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, 721 302, India.); Bhaumik, Sumitro (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, 721 302, India.); Layek, Mrinal K (Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721 302, India.); Shaw, Ashok (Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721 302, India.); Smith, Martin (British Geological Survey, Murchison House, West Mains Road, Edinburgh, EH9 3LA, UK.); Sengupta, Probal (Department of Geology and Geophysics, Indian Institute of Technology Kharagpur, 721 302, India.); MacDonald, Alan M (British Geological Survey, Murchison House, West Mains Road, Edinburgh, EH9 3LA, UK.); Sen, Joy (Department of Architecture and Regional Planning, Institute of Technology Kharagpur, 721 302, India.)","Mukherjee, Abhijit (Indian Institute of Technology Kharagpur)","Das, Prerona (Indian Institute of Technology Kharagpur); Mukherjee, Abhijit (Indian Institute of Technology Kharagpur); Lapworth, Dan J (British Geological Survey); Das, Kousik (Indian Institute of Technology Kharagpur); Bhaumik, Sumitro (Indian Institute of Technology Kharagpur); Layek, Mrinal K (Indian Institute of Technology Kharagpur); Shaw, Ashok (Indian Institute of Technology Kharagpur); Smith, Martin (British Geological Survey); Sengupta, Probal (Indian Institute of Technology Kharagpur); MacDonald, Alan M (British Geological Survey); Sen, Joy (Department of Architecture and Regional Planning, Institute of Technology Kharagpur, 721 302, India.)",10,9,0.58,3.14,,https://app.dimensions.ai/details/publication/pub.1136653617,37 Earth Sciences; 3707 Hydrology,
3912,pub.1137877314,10.1007/s11270-021-05152-w,33994598,PMC8107415,A Tale of Two Rivers: Can the Restoration Lessons of River Thames (Southern UK) Be Transferred to River Hindon (Northern India)?,"This study identifies the basin scale factors and potential remedies to restore the severely polluted Hindon River in India, by comparing with another basin with high population density: the River Thames in the UK. Biochemical oxygen demand (BOD) and dissolved oxygen (DO) in the Thames River are usually around 8 mg/l and 7.5 mg/l respectively, while phosphorus and ammonium range between 0.1–0.6 mg/l and 0.1–0.4 mg/l respectively. The Thames has seen great improvements in water quality over the past decades, due to high levels of sewage treatment and regulation of industrial effluents which have improved water quality conditions. Conversely, the Hindon River suffers from extremely poor water quality and this is mainly attributed to the direct discharge of partially treated or untreated municipal and industrial wastewater into the river. BOD is in the range of 15–60 mg/l and DO is below 5 mg/l. Phosphorus ranges around 2–6 mg/l at most of the monitoring stations and ammonia-nitrogen in the range of 10–40 mg /l in Galeta at Hindon. The analysis of variance also depicts the spatial and temporal variation in water quality in the Hindon River. Besides, non-point sources, pollution from point sources with minimal base flow in the river during dry season, result in low dilution capacity causing high pollutant concentrations which impacts the river ecosystem and fisheries. To restore the Hindon River, resources must be focussed on mainly treating sewage and industrial effluents and by developing appropriate river basin management and regulatory plans.",,,"Water, Air, & Soil Pollution",,,,2021-05-10,2021,2021-05-10,2021-05,232,5,212,All OA; Bronze,Article,"Sharma, Vasker; Joshi, Himanshu; Bowes, Michael J.","Sharma, Vasker (Department of Civil Engineering and Surveying, Jigme Namgyel Engineering College, Royal University of Bhutan, Dewathang, Samdrupjongkhar, Bhutan); Joshi, Himanshu (Department of Hydrology, Indian Institute of Technology, Roorkee, India); Bowes, Michael J. (UK Centre of Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, Oxfordshire, UK)","Sharma, Vasker (Royal University of Bhutan)","Sharma, Vasker (Royal University of Bhutan); Joshi, Himanshu (Indian Institute of Technology Roorkee); Bowes, Michael J. (UK Centre for Ecology & Hydrology)",5,4,0.32,1.06,https://link.springer.com/content/pdf/10.1007/s11270-021-05152-w.pdf,https://app.dimensions.ai/details/publication/pub.1137877314,40 Engineering; 4011 Environmental Engineering; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
3912,pub.1149336123,10.1007/s11356-022-21634-8,35804225,,Mid-long term forecasting of reservoir inflow using the coupling of time-varying filter-based empirical mode decomposition and gated recurrent unit,"Accurate and reliable runoff forecast is beneficial to watershed planning and management and scientific operation of water resources system. However, due to the comprehensive influence of climatic conditions, geographical environment, and human activities, the runoff series is nonlinear and non-stationary, and there are still great challenges in mid-long term runoff forecasting. In order to improve the prediction accuracy, a novel model TVF-EMD-PE-PSO-GRU (TEPPG) was proposed in this study. Firstly, several intrinsic mode functions (IMFs) were obtained by decomposing the original runoff series by time-varying filter-based empirical mode decomposition (TVF-EMD). Secondly, the permutation entropy (PE) algorithm was used to calculate the complexity of each IMF, and the IMF with similar complexity was combined. Then, the gated recurrent unit (GRU) model based on particle swarm optimization (PSO) was used to predict each IMF after merging. Finally, the prediction results of each IMF were superimposed to obtain the final results. And compared with three models such as TVF-EMD-PSO-GRU, extreme-point symmetric mode decomposition coupled gated recurrent unit and particle swarm optimization (ESMD-PSO-GRU), complete ensemble empirical mode decomposition with adaptive noise coupled gated recurrent unit, and particle swarm optimization (CEEMDAN-PSO-GRU). The monthly and annual runoff forecasting of Tangnaihai hydrological station in the upper reaches of the Yellow River and Cuntan hydrological station in the upstream of the Yangtze River was taken as examples to test the performance of the model. The results show that, compared with the other three models, the TEPPG model had the highest prediction accuracy and was relatively stable in both monthly and annual runoff forecasts. Thus, the proposed method was developed to support the decision-making of water resource system.",,This study was supported by the National Key R&D Program of China (2018YFC1508403) and the National Natural Science Foundation of China (51579173).,Environmental Science and Pollution Research,,,Humans; Hydrology; Forecasting; Algorithms; Water Resources; Rivers,2022-07-08,2022,2022-07-08,2022-12,29,58,87200-87217,Closed,Article,"Wang, Xiujie; Zhang, Shuai; Qiao, Hongfei; Liu, Lüliu; Tian, Fuchang","Wang, Xiujie (State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, 300072, Tianjin, China); Zhang, Shuai (State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, 300072, Tianjin, China); Qiao, Hongfei (State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, 300072, Tianjin, China); Liu, Lüliu (National Climate Center, China Meteorological Administration, 100081, Beijing, China); Tian, Fuchang (State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, 300072, Tianjin, China)","Tian, Fuchang (Tianjin University)","Wang, Xiujie (Tianjin University); Zhang, Shuai (Tianjin University); Qiao, Hongfei (Tianjin University); Liu, Lüliu (China Meteorological Administration); Tian, Fuchang (Tianjin University)",8,8,1.56,3.44,,https://app.dimensions.ai/details/publication/pub.1149336123,37 Earth Sciences; 3701 Atmospheric Sciences; 46 Information and Computing Sciences,
3910,pub.1154638178,10.1007/s00267-023-01788-y,36653481,,Willingness to Pay to Reduce the Ecological and Health Risks from Water Pollution in Emerging Urban Regions: The Case of the Red River Delta in Vietnam,"The soaring economic development of export activities of handicrafts centralized in emerging urban regions in Vietnam has accelerated the increase in the occurrence of diseases and threats to ecosystems induced by water pollution. We design a discrete choice experiment to elicit the willingness-to-pay of handicraft enterprises to restore the environment and diminish health risks from polluted wastewater through water quality improvement under different scenarios. Estimates from five latent classes reveal that one-half of entrepreneurs strongly value the provision of wastewater treatment services, and their decisions are mostly driven by preferences to reduce the risk of sickness caused by water pollution. This finding lends support to the argument that self-interested preferences predominate pro-environmental behavior in the readiness to pay for water quality services. While entrepreneurs’ preferences attributed to ecological remediation seem to vary according to their educational background, the status-quo group shows low environmental awareness. This divergent behavioral pattern suggests that the design of wastewater management policies requires a mixture of measures that aim at different groups of individuals pursuing economic incentives and the creation of awareness.",,,Environmental Management,,,Humans; Ecosystem; Conservation of Natural Resources; Vietnam; Wastewater; Water Pollution,2023-01-18,2023,2023-01-18,2023-08,72,2,262-274,Closed,Article,"Lampach, Nicolas; Tiet, Tuyen; To-The, Nguyen; Nguyen-Anh, Tuan","Lampach, Nicolas (Centre for Legal Theory and Empirical Jurisprudence, KU Leuven, Leuven, Belgium); Tiet, Tuyen (UMT School of Business, University of Management and Technology, Ho Chi Minh City, Vietnam; BETA, CNRS, INRAE & University of Strasbourg, Strasbourg, France); To-The, Nguyen (VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam; TIMAS, Thang Long University, Hanoi, Vietnam); Nguyen-Anh, Tuan (VNU University of Economics and Business, Vietnam National University, Hanoi, Vietnam)","Nguyen-Anh, Tuan (Vietnam National University, Hanoi)","Lampach, Nicolas (KU Leuven); Tiet, Tuyen (UMT School of Business, University of Management and Technology, Ho Chi Minh City, Vietnam; Bureau for Economic Theory and Applications); To-The, Nguyen (Vietnam National University, Hanoi; Thang Long University); Nguyen-Anh, Tuan (Vietnam National University, Hanoi)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1154638178,38 Economics; 3801 Applied Economics; 41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
3910,pub.1020831604,10.1007/s00267-015-0481-5,25850614,,Application of Science-Based Restoration Planning to a Desert River System,"Abstract
Persistence of many desert river species is threatened by a suite of impacts linked to water infrastructure projects that provide human water security where water is scarce. Many desert rivers have undergone regime shifts from spatially and temporally dynamic ecosystems to more stable systems dominated by homogenous physical habitat. Restoration of desert river systems could aid in biodiversity conservation, but poses formidable challenges due to multiple threats and the infeasibility of recovery to pre-development conditions. The challenges faced in restoring desert rivers can be addressed by incorporating scientific recommendations into restoration planning efforts at multiple stages, as demonstrated here through an example restoration project. In particular, use of a watershed-scale planning process can identify data gaps and irreversible constraints, which aid in developing achievable restoration goals and objectives. Site-prioritization focuses limited the resources for restoration on areas with the greatest potential to improve populations of target organisms. Investment in research to understand causes of degradation, coupled with adoption of a guiding vision is critical for identifying feasible restoration actions that can enhance river processes. Setting monitoring as a project goal, developing hypotheses for expected outcomes, and implementing restoration as an experimental design will facilitate adaptive management and learning from project implementation. Involvement of scientists and managers during all planning stages is critical for developing process-based restoration actions and an implementation plan to maximize learning. The planning process developed here provides a roadmap for use of scientific recommendations in future efforts to recover dynamic processes in imperiled riverine ecosystems.","Restoration planning was supported by the National Fish and Wildlife Foundation’s Bring Back the Natives Program, Project 0901.11.027140. Additional funding was provided by the U.S. Geological Survey, Utah Cooperative Fish and Wildlife Research Unit (in-kind). The efforts of all individuals on the San Rafael Restoration team made restoration planning possible, particularly J. Bottcher, S. Fortney, and T. Walsworth through their detailed scientific investigations. The manuscript was substantially improved by comments from P. Belmont and two reviewers on previous drafts. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the United States Government.",,Environmental Management,,,Animals; Biodiversity; Conservation of Natural Resources; Desert Climate; Ecology; Ecosystem; Environmental Monitoring; Environmental Policy; Fishes; Humans; Organizational Objectives; Rivers; Utah,2015-04-08,2015,2015-04-08,2015-06,55,6,1246-1261,Closed,Article,"Laub, Brian G.; Jimenez, Justin; Budy, Phaedra","Laub, Brian G. (Department of Watershed Sciences, The Ecology Center, Utah State University, 5210 Old Main Hill, 84322, Logan, UT, USA); Jimenez, Justin (Bureau of Land Management, Utah State Office, 440 West 200 South, Suite 500, 84101, Salt Lake City, UT, USA); Budy, Phaedra (Department of Watershed Sciences, The Ecology Center, Utah State University, 5210 Old Main Hill, 84322, Logan, UT, USA; U.S. Geological Survey, Utah Cooperative Fish and Wildlife Research Unit, Utah State University, 5290 Old Main Hill, 84322, Logan, UT, USA)","Laub, Brian G. (Utah State University)","Laub, Brian G. (Utah State University); Jimenez, Justin (Bureau of Land Management); Budy, Phaedra (Utah State University; Utah State University)",10,3,0.06,0.81,,https://app.dimensions.ai/details/publication/pub.1020831604,41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4102 Ecological Applications; 4104 Environmental Management,15 Life on Land
3909,pub.1099657053,10.1016/j.scitotenv.2017.11.345,29220762,,Foundations of the participatory approach in the Mekong River basin management,"Integrated Water Resource Management (IWRM) was acknowledged as a leading concept in the water management for the last two decades by academia, political decision-makers and experts. It strongly promotes holistic management and participatory approaches. The flexibility and adaptability of IWRM concept are especially important for large, transboundary river basins - e.g. the Mekong river basin - where natural processes and hazards, as well as, human-made ""disasters"" are demanding for a comprehensive approach. In the Mekong river basin, the development and especially the enforcement of one common strategy has always been a struggle. The past holds some unsuccessful experiences. In 2016 Mekong River Commission published IWRM-based Basin Development Strategy 2016-2020 and The Mekong River Commission Strategic Plan 2016-2020. They should be the main guiding document for the Mekong river development in the near future. This study analyzes how the concept of public participation resembles the original IWRM participatory approach in these documents. Therefore, IWRM criteria for public participation in international literature and official documents from the Mekong river basin are compared. As there is often a difference between ""de jure"" and ""de facto"" implementation of public participation in management concepts, the perception of local stakeholders was assessed in addition. The results of social survey give an insight if local people are aware of Mekong river basin development and present their dominant attitudes about the issue. The findings enable recommendations how to mitigate obstacles in the implementation of common development strategy.","Authors thanks to all survey respondents for their kindly provided time and shared insights and opinions. Additionally, authors express gratitude to Dr. Pham Anh Duc, Doan Quoc Anh Thu, Thanh Tuấn Nguyễn, Piseth Kim and Raksmey El for sincere help and support when it was so needed.",,The Science of The Total Environment,,,,2017-12-13,2017,2017-12-13,2018-05,622,,349-361,Closed,Article,"Budryte, Paulina; Heldt, Sonja; Denecke, Martin","Budryte, Paulina (Department of Water and Waste Management, University of Duisburg-Essen, Essen, Germany); Heldt, Sonja (Department of Water and Waste Management, University of Duisburg-Essen, Essen, Germany); Denecke, Martin (Department of Water and Waste Management, University of Duisburg-Essen, Essen, Germany)","Budryte, Paulina (University of Duisburg-Essen)","Budryte, Paulina (University of Duisburg-Essen); Heldt, Sonja (University of Duisburg-Essen); Denecke, Martin (University of Duisburg-Essen)",5,3,,1.99,,https://app.dimensions.ai/details/publication/pub.1099657053,44 Human Society; 4407 Policy and Administration,6 Clean Water and Sanitation
3909,pub.1123186227,10.7717/peerj.8043,31871832,PMC6921981,Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model,"River inflow prediction plays an important role in water resources management and power-generating systems. But the noises and multi-scale nature of river inflow data adds an extra layer of complexity towards accurate predictive model. To overcome this issue, we proposed a hybrid model, Variational Mode Decomposition (VMD), based on a singular spectrum analysis (SSA) denoising technique. First, SSA his applied to denoise the river inflow data. Second, VMD, a signal processing technique, is employed to decompose the denoised river inflow data into multiple intrinsic mode functions (IMFs), each with a relative frequency scale. Third, Empirical Bayes Threshold (EBT) is applied on non-linear IMF to smooth out. Fourth, predicted models of denoised and decomposed IMFs are established by learning the feature values of the Support Vector Machine (SVM). Finally, the ensemble predicted results are formulated by adding the predicted IMFs. The proposed model is demonstrated using daily river inflow data from four river stations of the Indus River Basin (IRB) system, which is the largest water system in Pakistan. To fully illustrate the superiority of our proposed approach, the SSA-VMD-EBT-SVM hybrid model was compared with SSA-VMD-SVM, VMD-SVM, Empirical Mode Decomposition (EMD) based i.e., EMD-SVM, SSA-EMD-SVM, Ensemble EMD (EEMD) based i.e., EEMD-SVM and SSA-EEMD-SVM. We found that our proposed hybrid SSA-EBT-VMD-SVM model outperformed than others based on following performance measures: the Nash-Sutcliffe Efficiency (NSE), Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). Therefore, SSA-VMD-EBT-SVM model can be used for water resources management and power-generating systems using non-linear time series data.","The Deanship of Scientific Research at King Saud University funded this work through research group no RG–1439–015. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","The Deanship of Scientific Research at King Saud University funded this work through research group no RG–1439–015. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PeerJ,,Matthew Wilson,,2019-12-06,2019,2019-12-06,,7,,e8043,All OA; Gold,Article,"Nazir, Hafiza Mamona; Hussain, Ijaz; Faisal, Muhammad; Elashkar, Elsayed Elsherbini; Shoukry, Alaa Mohamd","Nazir, Hafiza Mamona (Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan); Hussain, Ijaz (Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan); Faisal, Muhammad (Faculty of Health Studies, University of Bradford, Bradford, United Kingdom; Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom); Elashkar, Elsayed Elsherbini (Arriyadh Community College, King Saud University, Riyadh, Saudi Arabia); Shoukry, Alaa Mohamd (Arriyadh Community College, King Saud University, Riyadh, Saudi Arabia; KSA workers University, Egypt, KSA, Egypt)","Hussain, Ijaz (Quaid-i-Azam University); Shoukry, Alaa Mohamd (King Saud University; KSA workers University, Egypt, KSA, Egypt)","Nazir, Hafiza Mamona (Quaid-i-Azam University); Hussain, Ijaz (Quaid-i-Azam University); Faisal, Muhammad (University of Bradford; Bradford Teaching Hospitals NHS Foundation Trust); Elashkar, Elsayed Elsherbini (King Saud University); Shoukry, Alaa Mohamd (King Saud University; KSA workers University, Egypt, KSA, Egypt)",7,3,0.28,1.21,https://peerj.com/articles/8043.pdf,https://app.dimensions.ai/details/publication/pub.1123186227,37 Earth Sciences; 3707 Hydrology; 46 Information and Computing Sciences,
3908,pub.1052918975,10.1371/journal.pone.0145574,26714166,PMC4695094,"Advancing Land-Sea Conservation Planning: Integrating Modelling of Catchments, Land-Use Change, and River Plumes to Prioritise Catchment Management and Protection","Human-induced changes to river loads of nutrients and sediments pose a significant threat to marine ecosystems. Ongoing land-use change can further increase these loads, and amplify the impacts of land-based threats on vulnerable marine ecosystems. Consequently, there is a need to assess these threats and prioritise actions to mitigate their impacts. A key question regarding prioritisation is whether actions in catchments to maintain coastal-marine water quality can be spatially congruent with actions for other management objectives, such as conserving terrestrial biodiversity. In selected catchments draining into the Gulf of California, Mexico, we employed Land Change Modeller to assess the vulnerability of areas with native vegetation to conversion into crops, pasture, and urban areas. We then used SedNet, a catchment modelling tool, to map the sources and estimate pollutant loads delivered to the Gulf by these catchments. Following these analyses, we used modelled river plumes to identify marine areas likely influenced by land-based pollutants. Finally, we prioritised areas for catchment management based on objectives for conservation of terrestrial biodiversity and objectives for water quality that recognised links between pollutant sources and affected marine areas. Our objectives for coastal-marine water quality were to reduce sediment and nutrient discharges from anthropic areas, and minimise future increases in coastal sedimentation and eutrophication. Our objectives for protection of terrestrial biodiversity covered species of vertebrates. We used Marxan, a conservation planning tool, to prioritise interventions and explore spatial differences in priorities for both objectives. Notable differences in the distributions of land values for terrestrial biodiversity and coastal-marine water quality indicated the likely need for trade-offs between catchment management objectives. However, there were priority areas that contributed to both sets of objectives. Our study demonstrates a practical approach to integrating models of catchments, land-use change, and river plumes with conservation planning software to inform prioritisation of catchment management.","Mexico&#x27;s Consejo Nacional de Ciencia y Tecnología (www.conacyt.mx) and Secretaría de Educación Pública (www.sep.gob.mx) provided the main funding through PhD scholarships. JGAR, RLP and NCB also acknowledge the support of the Australian Research Council Centre of Excellence for Coral Reef Studies. We thank Kirsten Oleson and an anonymous reviewer for their very helpful comments and suggestions. We thank the following persons for providing information and technical advice: Scott Wilkinson (CSIRO), Johnathan Kool (Geoscience Australia), Michelle Devlin (TropWater, James Cook University); Hector Cortes-Torres, Juan Francisco Gomez-Martinez and Pedro Rivera-Ruiz (IMTA); Rafael Hernandez (CIAD); Stephen Lewis (TropWater, James Cook University); Eusebio Ventura (UQRO); Alejandro González-Serratos (CONAGUA); Arturo Flores-Martínez and Cleotilde Arellano (SEMARNAT); José Luis Pérez-Damián (INE); and Melanie Kolb (CONABIO). We also thank the following organizations for providing software: Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO) Land and Water (SedNet/ANNEX), and datasets: Servicio de Información Agroalimentaria y Pesquera (SIAP-SAGARPA); Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO); Secretaría de Medio Ambiente y Recursos Naturales (SEMARNAT); Instituto Nacional de Ecología (INE-SEMARNAT), and Instituto Nacional de Estadística, Geografía e Informática (INEGI). We also thank P. Visconti for support in scripting to analyse gauge data, Gordon Bailey for providing IT support, and the High Performance Computing Unit at James Cook University for computational facilities. JGAR gratefully acknowledges support from Mexico’s Consejo Nacional de Ciencia y Tecnología (CONACYT) and Secretaría de Educación Pública (SEP), as well as from the Australian Research Council Centre of Excellence for Coral Reef Studies. RLP and NCB acknowledge the support of the Australian Research Council.","Mexico's Consejo Nacional de Ciencia y Tecnología (www.conacyt.mx) and Secretaría de Educación Pública (www.sep.gob.mx) provided the main funding through PhD scholarships. JGAR, RLP and NCB also acknowledge the support of the Australian Research Council Centre of Excellence for Coral Reef Studies.",PLOS ONE,,Maura (Gee) Geraldine Chapman,"Conservation of Natural Resources; Environmental Pollution; Mexico; Models, Statistical; Natural Resources; Oceans and Seas; Probability; Rivers; Water Quality",2015-12-29,2015,2015-12-29,,10,12,e0145574,All OA; Gold,Article,"Álvarez-Romero, Jorge G.; Pressey, Robert L.; Ban, Natalie C.; Brodie, Jon","Álvarez-Romero, Jorge G. (Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia); Pressey, Robert L. (Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia); Ban, Natalie C. (Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia; School of Environmental Studies, University of Victoria, PO Box 1700 STN CSC, Victoria British Columbia, Canada); Brodie, Jon (Centre for Tropical Water and Aquatic Ecosystem Research (TropWater), Catchment to Reef Research Group, James Cook University, Townsville, Queensland, Australia)","Álvarez-Romero, Jorge G. (ARC Centre of Excellence for Coral Reef Studies)","Álvarez-Romero, Jorge G. (ARC Centre of Excellence for Coral Reef Studies); Pressey, Robert L. (ARC Centre of Excellence for Coral Reef Studies); Ban, Natalie C. (ARC Centre of Excellence for Coral Reef Studies; University of Victoria); Brodie, Jon (James Cook University)",38,7,0.53,3.85,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0145574&type=printable,https://app.dimensions.ai/details/publication/pub.1052918975,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,14 Life Below Water; 15 Life on Land
3905,pub.1145094553,10.1016/j.scitotenv.2022.153481,35093363,,"Uncertainty analysis of ecosystem services and implications for environmental management – An experiment in the Heihe River Basin, China","Integrating the economic values of ecosystem services provided by different land uses into decision analysis is critical to achieving effective environmental management in endorheic basins. However, policymaking often ignores the uncertainty related to the variability of parameters in ecosystem service values. To this end, we identified sensitive parameters in the ecosystem service values under four land uses using the global sensitivity analysis method and quantified the potential monetary outcomes based on the Monte Carlo method. The results indicated that only a few sensitive parameters, such as water yield (Qi) and treatment costs per unit of nitrogen (Cost_N), were the primary sources of uncertainty. Therefore, we suggest that improving the precision of sensitive parameters is essential for reducing uncertainty in the total ecosystem service value. Additionally, the overall monetary outcomes for cropland exhibited negative values and had higher risk and lower benefits than those for forest from the standpoint of ecosystem services. In addition, the nonmarketed service of landscape aesthetic made the monetary outcomes of water bodies higher than those of cropland, yet the value of landscape aesthetic was highly uncertain. Therefore, efforts should be made to improve total monetary outcomes by decreasing the negative values in food provisioning of cropland and the uncertainty in landscape aesthetic for water bodies. The sensitivity analysis and uncertainty analysis provide important guidelines for quantifying and reducing the related uncertainty and provide policy information for environmental management based on a comprehensive consideration of the potential ecosystem service values for various land uses.",This work was supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant numbers: XDA20100104) and the National Natural Science Foundation of China (Grant numbers: NSFC 42001263).,,The Science of The Total Environment,,,China; Conservation of Natural Resources; Ecosystem; Rivers; Uncertainty,2022-01-29,2022,2022-01-29,2022-05,821,,153481,Closed,Article,"Wang, Bei; Li, Xin; Ma, Chun-Feng; Zhu, Gao-Feng; Luan, Wen-Fei; Zhong, Jun-Tao; Tan, Mei-Bao; Fu, Jing","Wang, Bei (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.); Li, Xin (National Tibetan Plateau Data Center, Key Laboratory of Tibetan Environmental Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: xinli@itpcas.ac.cn.); Ma, Chun-Feng (Northwest Institute of Eco-Environment and Resources (NIEER), Chinese Academy of Sciences, Lanzhou 730000, China.); Zhu, Gao-Feng (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China. Electronic address: zhugf@lzu.edu.cn.); Luan, Wen-Fei (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China.); Zhong, Jun-Tao (College of Geography Sciences, Qinghai Normal University, Xining 810001, China.); Tan, Mei-Bao (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.); Fu, Jing (Institute of Urban Study, Shanghai Normal University, Shanghai 201234, China.)","Li, Xin (Institute of Tibetan Plateau Research; Center for Excellence in Tibetan Plateau Earth Sciences); Zhu, Gao-Feng (Lanzhou University)","Wang, Bei (Lanzhou University); Li, Xin (Institute of Tibetan Plateau Research; Center for Excellence in Tibetan Plateau Earth Sciences); Ma, Chun-Feng (Northwest Institute of Eco-Environment and Resources); Zhu, Gao-Feng (Lanzhou University); Luan, Wen-Fei (Henan Polytechnic University); Zhong, Jun-Tao (Qinghai Normal University); Tan, Mei-Bao (Lanzhou University); Fu, Jing (Shanghai Normal University)",12,12,0.87,5.0,,https://app.dimensions.ai/details/publication/pub.1145094553,38 Economics; 41 Environmental Sciences; 4102 Ecological Applications,15 Life on Land
3905,pub.1117741811,10.1038/s41598-019-46063-5,31273266,PMC6609694,Yellow River water rebalanced by human regulation,"The streamflow of major global rivers changes under the influences of climate change and human activities and varies greatly in different regions. The Yellow River has undergone a dramatic shift during the last six decades. Its streamflow gradually dwindled away and even dried-up severely in the late 20th century, but in recent years it has recovered and remains stable. Comprehensive understanding of the river streamflow change and its driving forces promotes effective water resource management within this complex human-natural system. Here, we develop a runoff identity attribution approach to analyze 61 years of streamflow observations from the Yellow River. We find that between the 1950s and the 1980s, human water consumption contributed more than 90% to streamflow reduction, but from the 1970s onwards, land cover change became the major factor to decrease streamflow. Since 2000, government management schemes have prevented streamflow from declining further and guarantee its stability. Based on the analysis framework we propose, persistent droughts, which are related to abrupt streamflow abatement, may be the most uncontrollable factor in the future. A more resilient management system should be therefore built to grapple with the expected increased frequency of such extreme climate events in the future.","This study was supported by National Natural Science Foundation of China (No. 41722102, 41561134016), the National Key Research and Development Program of China (No. 2017YFA0604700), and the Fundamental Research Funds for the Central Universities.",,Scientific Reports,,,,2019-07-04,2019,2019-07-04,,9,1,9707,All OA; Gold,Article,"Wang, Yaping; Zhao, Wenwu; Wang, Shuai; Feng, Xiaoming; Liu, Yanxu","Wang, Yaping (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China; Institute of Land Surface System and Sustainability, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China); Zhao, Wenwu (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China; Institute of Land Surface System and Sustainability, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China); Wang, Shuai (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China; Institute of Land Surface System and Sustainability, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China); Feng, Xiaoming (State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085, Beijing, P.R. China); Liu, Yanxu (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China; Institute of Land Surface System and Sustainability, Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, P.R. China)","Wang, Shuai (Beijing Normal University; Beijing Normal University)","Wang, Yaping (Beijing Normal University; Beijing Normal University); Zhao, Wenwu (Beijing Normal University; Beijing Normal University); Wang, Shuai (Beijing Normal University; Beijing Normal University); Feng, Xiaoming (Research Center for Eco-Environmental Sciences); Liu, Yanxu (Beijing Normal University; Beijing Normal University)",49,32,0.6,7.82,https://www.nature.com/articles/s41598-019-46063-5.pdf,https://app.dimensions.ai/details/publication/pub.1117741811,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
3896,pub.1069146843,10.2166/wst.2014.118,24901618,,Decision support for ecological river rehabilitation using fish habitat database,"After the recent success of several river rehabilitation projects including the Cheong-gye river case, a large number of local governments have been promoting their own projects in Korea. Most of the projects are aimed at securing the soundness of aquatic ecosystems according to the guidelines presented by the Korea Ministry of Environment. However, there is no clear guidance for the management goals of water quality and quantity. In this study, we have made an attempt to construct a habitat database (DB) for each domestic freshwater fish species. The fish population, and physical and physicochemical properties of the habitat of 70 domestic freshwater fish species were investigated using field monitoring data. After the statistical processing, the inhabitable range and optimal range of each species were suggested. Furthermore, based on the DB, a decision support system for ecological river restoration and rehabilitation has been developed, and applied for field tests. It became clear that the decision support procedure based on the fish habitat DB is useful in the planning stage of river rehabilitation projects to select the flagship fish, to decide the restoration goals considering their appropriate habitat and to suggest the optimum quantitative combination of each available water resource.",,,Water Science & Technology,,,"Animals; China; Conservation of Natural Resources; Databases, Factual; Decision Making; Ecosystem; Fishes; Rivers; Water Pollution; Water Quality",2014-03-22,2014,2014-03-22,2014-06-01,69,11,2243-2251,Closed,Article,"Jung, J. H.; Park, J. Y.; Lim, H. M.; Yoon, Y. H.; Kim, W. J.","Jung, J. H. (Environmental Engineering Research Division, Korea Institute of Construction Technology, 1190, Simindae-ro, Ilsanseo-gu, Goyang-si, Gyeoggi-do, Korea 411-712); Park, J. Y. (Environmental Engineering Research Division, Korea Institute of Construction Technology, 1190, Simindae-ro, Ilsanseo-gu, Goyang-si, Gyeoggi-do, Korea 411-712); Lim, H. M. (Environmental Engineering Research Division, Korea Institute of Construction Technology, 1190, Simindae-ro, Ilsanseo-gu, Goyang-si, Gyeoggi-do, Korea 411-712); Yoon, Y. H. (Environmental Engineering Research Division, Korea Institute of Construction Technology, 1190, Simindae-ro, Ilsanseo-gu, Goyang-si, Gyeoggi-do, Korea 411-712); Kim, W. J. (Environmental Engineering Research Division, Korea Institute of Construction Technology, 1190, Simindae-ro, Ilsanseo-gu, Goyang-si, Gyeoggi-do, Korea 411-712)","Kim, W. J. (Korea Institute of Civil Engineering and Building Technology)","Jung, J. H. (Korea Institute of Civil Engineering and Building Technology); Park, J. Y. (Korea Institute of Civil Engineering and Building Technology); Lim, H. M. (Korea Institute of Civil Engineering and Building Technology); Yoon, Y. H. (Korea Institute of Civil Engineering and Building Technology); Kim, W. J. (Korea Institute of Civil Engineering and Building Technology)",1,0,,0.12,,https://app.dimensions.ai/details/publication/pub.1069146843,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
3895,pub.1122773317,10.3390/ijerph16234597,31756957,PMC6926678,"Hydrological Simulation for Predicting the Future Water Quality of Adyar River, Chennai, India","Just a few decades ago, Adyar River in India's city of Chennai was an important source of water for various uses. Due to local and global changes (e.g., population growth and climate change), its ecosystem and overall water quality, including its aesthetic value, has deteriorated, and the water has become unsuitable for commercial uses. Adverse impacts of excessive population and changing climate are expected to continue in the future. Thus, this study focused on predicting the future water quality of the Adyar river under ""business as usual"" (BAU) and ""suitable with measures"" scenarios. The water evaluation and planning (WEAP) simulation tool was used for this study. Water quality simulation along a 19 km stretch of the Adyar River, from downstream of the Chembarambakkam to Adyar (Bay of Bengal) was carried out. In this analysis, clear indication of further deterioration of Adyar water quality by 2030 under the BAU scenario was evidenced. This would be rendering the river unsuitable for many aquatic species. Due to both climate change (i.e., increased temperature and precipitation) and population growth, the WEAP model results indicated that by 2030, biochemical oxygen demand (BOD) and Escherichiacoli concentrations will increase by 26.7% and 8.3%, respectively. On the other hand, under the scenario with measures being taken, which assumes that ""all wastewater generated locally will be collected and treated in WWTP with a capacity of 886 million liter per day (MLD),"" the river water quality is expected to significantly improve by 2030. Specifically, the model results showed largely reduced concentrations of BOD and E.coli, respectively, to the tune of 74.2% and 98.4% compared to the BAU scenario. However, even under the scenario with measures being taken, water quality remains a concern, especially in the downstream area, when compared with class B (fishable surface water quality desirable by the national government). These results indicate that the current management policies and near future water resources management plan (i.e., the scenario including mitigating measures) are not adequate to check pollution levels to within the desirable limits. Thus, there is a need for transdisciplinary research into how the water quality can be further improved (e.g., through ecosystem restoration or river rehabilitation).","The authors would like to acknowledge the facility (both logistical and financial) provided by the Water and Urban Initiatives (WUI) project at United Nations University, Tokyo, without which this work would not have been possible.","This research was funded by the Ministry of Environment, Japan, under the project name Urban Water Initiative at United Nations University, Tokyo.",International Journal of Environmental Research and Public Health,,,"Cities; Climate Change; Ecosystem; Escherichia coli; Hydrology; India; Models, Theoretical; Rivers; Wastewater; Water; Water Quality; Water Resources",2019-11-20,2019,2019-11-20,2019-12-01,16,23,4597,All OA; Gold,Article,"Kumar, Pankaj; Dasgupta, Rajarshi; Ramaiah, Manish; Avtar, Ram; Johnson, Brian Alan; Mishra, Binaya Kumar","Kumar, Pankaj (Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa 240-0115, Japan;, dasgupta@iges.or.jp, (R.D.);, johnson@iges.or.jp, (B.A.J.)); Dasgupta, Rajarshi (Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa 240-0115, Japan;, dasgupta@iges.or.jp, (R.D.);, johnson@iges.or.jp, (B.A.J.)); Ramaiah, Manish (Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan;, ramaiah.tuj@gmail.com, (M.R.);, ram@ees.hokudai.ac.jp, (R.A.)); Avtar, Ram (Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan;, ramaiah.tuj@gmail.com, (M.R.);, ram@ees.hokudai.ac.jp, (R.A.)); Johnson, Brian Alan (Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa 240-0115, Japan;, dasgupta@iges.or.jp, (R.D.);, johnson@iges.or.jp, (B.A.J.)); Mishra, Binaya Kumar (Faculty of Science and Technology, Pokhra University, Pokhra 56305, Nepal;, bkmishra@pu.edu.np)","Kumar, Pankaj (Institute for Global Environmental Strategies; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa 240-0115, Japan;, dasgupta@iges.or.jp, (R.D.);, johnson@iges.or.jp, (B.A.J.))","Kumar, Pankaj (Institute for Global Environmental Strategies; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa 240-0115, Japan;, dasgupta@iges.or.jp, (R.D.);, johnson@iges.or.jp, (B.A.J.)); Dasgupta, Rajarshi (Institute for Global Environmental Strategies; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa 240-0115, Japan;, dasgupta@iges.or.jp, (R.D.);, johnson@iges.or.jp, (B.A.J.)); Ramaiah, Manish (Hokkaido University); Avtar, Ram (Hokkaido University); Johnson, Brian Alan (Institute for Global Environmental Strategies; Natural Resources and Ecosystem Services, Institute for Global Environmental Strategies, Hayama, Kanagawa 240-0115, Japan;, dasgupta@iges.or.jp, (R.D.);, johnson@iges.or.jp, (B.A.J.)); Mishra, Binaya Kumar (Faculty of Science and Technology, Pokhra University, Pokhra 56305, Nepal;, bkmishra@pu.edu.np)",8,5,0.14,1.33,https://www.mdpi.com/1660-4601/16/23/4597/pdf?version=1574767445,https://app.dimensions.ai/details/publication/pub.1122773317,41 Environmental Sciences; 4104 Environmental Management,6 Clean Water and Sanitation
3893,pub.1099599411,10.1038/s41467-017-02226-4,29255194,PMC5735146,Designing flows to resolve human and environmental water needs in a dam-regulated river,"Navigating trade-offs between meeting societal water needs and supporting functioning ecosystems is integral to river management policy. Emerging frameworks provide the opportunity to consider multiple river uses explicitly, but balancing multiple priorities remains challenging. Here we quantify relationships between hydrologic regimes and the abundance of multiple native and nonnative fish species over 18 years in a large, dryland river basin in southwestern United States. These models were incorporated into a multi-objective optimization framework to design dam operation releases that balance human water needs with the dual conservation targets of benefiting native fishes while disadvantaging nonnative fishes. Predicted designer flow prescriptions indicate significant opportunities to favor native over nonnative fishes while rarely, if ever, encroaching on human water needs. The predicted benefits surpass those generated by natural flow mimicry, and were retained across periods of heightened drought. We provide a quantitative illustration of theoretical predictions that designer flows can offer multiple ecological and societal benefits in human-altered rivers.","We thank Nathan Franssen for providing fish sampling data and providing guidance and feedback for the functional regression models, Susan Behery for providing dam operations and water-use data, and for helpful discussions in understanding water management in the SJRB, and Keith Gido, Gordon Holtgrieve, and Mark Kot for comments that improved the final manuscript. Funding was provided by the National Science Foundation Graduate Research Fellowship Program (grant #DGE-1256082), the H. Mason Keeler Endowment for Excellence Graduate Fellowship (School of Aquatic and Fishery Sciences, University of Washington), and the Seattle Chapter of the ARCS Foundation to W.C. J.D.O. graciously recognizes the H. Mason Keeler Endowed Professorship (School of Aquatic and Fishery Sciences, University of Washington) for support.",,Nature Communications,,,"Algorithms; Animals; Biodiversity; Conservation of Natural Resources; Ecosystem; Fishes; Geography; Humans; Models, Theoretical; Population Dynamics; Rivers; Southwestern United States; Water Movements; Water Supply",2017-12-18,2017,2017-12-18,,8,1,2158,All OA; Gold,Article,"Chen, William; Olden, Julian D.","Chen, William (Quantitative Ecology and Resource Management Program, University of Washington, 98195, Seattle, WA, USA; School of Aquatic and Fishery Sciences, University of Washington, 98195, Seattle, WA, USA); Olden, Julian D. (School of Aquatic and Fishery Sciences, University of Washington, 98195, Seattle, WA, USA)","Olden, Julian D. (University of Washington)","Chen, William (University of Washington; University of Washington); Olden, Julian D. (University of Washington)",160,77,1.63,15.66,https://www.nature.com/articles/s41467-017-02226-4.pdf,https://app.dimensions.ai/details/publication/pub.1099599411,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation; 4102 Ecological Applications,
3890,pub.1150573992,10.1007/s11356-022-22655-z,36038688,,"Use and perception of ecosystem services on an urban river: a case from lower Gangatic plain, Eastern India","Rapid urbanisation and climate change have emerged as serious threats to ecosystem services (ES), and the deterioration of ES is affecting the quality of life. The research on ES was long performed from monetary perspectives and neglected evaluation of ES from social perspectives. This study proposes a social appraisal approach for evaluating urban river ES on Mahananda River in English Bazar Urban Agglomeration (EBUA), Eastern India, through the social perception and preference (SPP) approach. SPP approach was performed using the importance-performance analysis (IPA) model and satisfaction index (SI). Mann–Whitney U test, correlation analysis, and a median regression were performed to better understand the overall scenario on the perception and preference for ES. The findings of the study showed that (i) the stakeholder residing along the left bank of the river were highly dependent on provisioning ES; (ii) there was limited access to cultural ES provided by the river; (iii) the stakeholders residing along the left bank and slum stakeholders residing along the right bank of the river were more dependent on rive ES; (iv) relatively higher discrepancy was reported from recreation, aesthetic, and bio-diversity; (v) satisfaction level on ES was relatively low to the stakeholder residing along the left bank (50%); and (vi) as per improvement index (II), recreation, aesthetic value, bio-diversity, and purification of water must be prioritised to meet the societal needs. Thus, the study’s findings can be very effective in implementing actions for sustainable holistic river ES management through the SPP approach.",We would like to extend our hearty acknowledgement to the respondents for their consent to participate in the study and cooperation during field survey.,"We are thankful to the Editor and anonymous reviewers for their constructive suggestions to enrich the quality of the paper. The first author of the manuscript (Manob Das) would like thank to University Grants Commission (Ref-3238/(NET-JULY2016), New Delhi, India, for providing financial support to conduct this research as senior research fellow (SRF) at Department of Geography, University of Gour Banga, West Bengal, India.",Environmental Science and Pollution Research,,,Ecosystem; Rivers; Quality of Life; Conservation of Natural Resources; India; Perception,2022-08-30,2022,2022-08-30,2023-01,30,3,7561-7581,Closed,Article,"Das, Manob; Das, Arijit; Saha, Mahashweta; Pereira, Paulo","Das, Manob (Department of Geography, University of Gour Banga, Malda, West Bengal, India); Das, Arijit (Department of Geography, University of Gour Banga, Malda, West Bengal, India); Saha, Mahashweta (Department of Geography, University of Gour Banga, Malda, West Bengal, India); Pereira, Paulo (Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania)","Das, Arijit (University of Gour Banga)","Das, Manob (University of Gour Banga); Das, Arijit (University of Gour Banga); Saha, Mahashweta (University of Gour Banga); Pereira, Paulo (Mykolas Romeris University)",0,0,,0.0,,https://app.dimensions.ai/details/publication/pub.1150573992,33 Built Environment and Design; 3304 Urban and Regional Planning; 38 Economics,
3890,pub.1153409378,10.1007/s11356-022-24481-9,36472737,,Individual participation and incentive coordination in watershed ecological compensation project: insights from China’s Xin’an River Basin pilot,"The success or failure of executing the watershed ecological compensation (WEC) policy is primarily contingent on incentive designs. How do different contractual designs influence the actions of micro-individuals in WEC? How may individuals be enticed to engage in WEC project? Taking the first inter-provincial WEC-Xin’an River Basin (XRB) pilot in China as a case, this study investigates the impacts of government-oriented, market-oriented, and incentive-cooperation contracts on individuals’ behavior based on the framework of Stackelberg games. Subsequently, differences in efforts and profits of diverse individuals are compared and analyzed for each contract. The case-specific numerical example is then utilized to validate theoretical outcomes and to support subsequent key insights. First, the government-oriented contract exhibits effectiveness in bolstering the efforts and interests of micro-individuals, whereas it also places the government under tremendous financial strain. Second, the market-oriented contract formed by the output contribution rate assists in overcoming deficiencies of excurrent government-oriented contract. But it remains controversial if, in the absence of government inspection, investors that devote more cooperative-efforts are not rewarded with further dividends, ultimately diminishing their enthusiasm for the WEC-XRB project. Lastly, the incentive-cooperation contract reinforced by market dominance is advantageous for improving the efficacy of water resource management under the existing government-oriented policy relying on command-and-control instruments.",,This work was financially supported by the Humanities and Social Science Foundation of Ministry of Education of China (no. 20YJC790050); the Social Science Foundation of Jiangsu Province (no. 22EYC019); the National Social Science Foundation of China (no. 22CJY059); and the Foundation from China Scholarship Council (no. 202109045008).,Environmental Science and Pollution Research,,,Humans; Rivers; Motivation; Government; Water Resources; China,2022-12-06,2022,2022-12-06,2023-03,30,12,32799-32813,All OA; Green,Article,"Jiang, Ke; Wang, Die; Wang, Yusheng","Jiang, Ke (School of Business, Nanjing University of Information Science & Technology, 210044, Nanjing, China; GERAD, HEC Montréal, H3T 2A7, Montreal, Canada); Wang, Die (School of Business, Nanjing University of Information Science & Technology, 210044, Nanjing, China); Wang, Yusheng (Research Center of Risk Management and Emergency Decision Making, School of Management Science and Engineering, Nanjing University of Information Science and Technology, 210044, Nanjing, China)","Jiang, Ke (Nanjing University of Information Science and Technology; Group for Research in Decision Analysis)","Jiang, Ke (Nanjing University of Information Science and Technology; Group for Research in Decision Analysis); Wang, Die (Nanjing University of Information Science and Technology); Wang, Yusheng (Nanjing University of Information Science and Technology)",3,3,,3.12,https://www.researchsquare.com/article/rs-2059265/latest.pdf,https://app.dimensions.ai/details/publication/pub.1153409378,38 Economics; 3801 Applied Economics,
3888,pub.1146617588,10.1016/j.scitotenv.2022.154614,35358530,,Water availability drives instream conditions and life-history of an imperiled desert fish: A case study to inform water management,"In arid ecosystems, available water is a critical, yet limited resource for human consumption, agricultural use, and ecosystem processes-highlighting the importance of developing management strategies to meet the needs of multiple users. Here, we evaluated how water availability influences stream thermal regimes and life-history expressions of Lahontan cutthroat trout (Oncorhynchus clarkii henshawi) in the arid Truckee River basin in the western United States. We integrated air temperature and stream discharge data to quantify how water availability drives stream temperature during annual spawning and rearing of Lahontan cutthroat trout. We then determined how in situ stream discharge and temperature affected adult spawning migrations, juvenile growth opportunities, and duration of suitable thermal conditions. Air temperatures had significant, large effects (+) on stream temperature across months; the effects of discharge varied across months, with significant effects (-) during May through August, suggesting increased discharge can help mitigate temperatures during seasonally warm months. Two models explained adult Lahontan cutthroat trout migration, and both models indicated that adult Lahontan cutthroat trout avoid migration when temperatures are warmer (~ > 12 °C) and discharge is higher (~ > 50 m3*s-1). Juvenile size was best explained by a quadratic relationship with cumulative degree days (CDD; days>4 °C) as size increased with increasing CDDs but decreased at higher CDDs. We also found an interaction between CDDs and discharge explaining juvenile size: when CDDs were low, higher discharge was associated with larger size, but when CDDs were high, higher discharge was associated with smaller size. Stream temperatures also determined the duration of juvenile rearing, as all juvenile emigration ceased at temperatures >24.4 °C. Together, our results illustrated how stream discharge and temperature shape the life-history of Lahontan cutthroat trout at multiple stages and can inform management actions to offset warming temperatures and facilitate life-history diversity and population resilience.","We would like to thank D. Mosely (Pyramid Lake Paiute Tribe) for logistical assistance, support, and limnological datasets and J. Dunham (US Geological Survey) and two anonymous reviewers for review and comments that have substantially improved the manuscript. Funding for this research came from the USGS Science Support Partnership and the U.S. Fish and Wildlife Service Fish Passage Program and Population Monitoring Program. The findings and conclusions in this article are those of the author(s)and do not necessarily represent the views of the U.S. Fish and Wildlife Service. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.",,The Science of The Total Environment,,,Animals; Ecosystem; Fishes; Oncorhynchus; Rivers; Temperature; Water; Water Supply,2022-03-28,2022,2022-03-28,2022-08,832,,154614,All OA; Hybrid,Article,"Al-Chokhachy, Robert; Peka, Roger; Horgen, Erik; Kaus, Daniel J; Loux, Tim; Heki, Lisa","Al-Chokhachy, Robert (U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Suite 2, Bozeman, MT 59715, USA. Electronic address: ral-chokhachy@usgs.gov.); Peka, Roger (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Horgen, Erik (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Kaus, Daniel J (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Loux, Tim (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Heki, Lisa (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.)","Al-Chokhachy, Robert (Montana State University System)","Al-Chokhachy, Robert (Montana State University System); Peka, Roger (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Horgen, Erik (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Kaus, Daniel J (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Loux, Tim (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.); Heki, Lisa (U.S. Fish and Wildlife Service, Lahontan National Fish Hatchery Complex, 1340 Financial Blvd., Suite 161, Reno, NV 89502, USA.)",0,0,,0.0,https://doi.org/10.1016/j.scitotenv.2022.154614,https://app.dimensions.ai/details/publication/pub.1146617588,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences; 31 Biological Sciences",
3887,pub.1139796537,10.1016/j.scitotenv.2021.149170,34332378,,Consequences of hydrological alteration for beta diversity of fish assemblages at multiple spatial scales,"Effects of dam operation and extraction of water from rivers on spatial variation in hydrological regimes, and consequences for freshwater biodiversity, are widely predicted but seldom assessed empirically. Evidence of linkages between hydrology and beta diversity contributes to water-management decisions to support landscape-scale biodiversity and avoid inadvertently contributing to further biodiversity decline. Using six lowland rivers in Australia's Murray - Darling Basin that formed a gradient of hydrological alteration, we examined (1) spatial variation in hydrology under modelled scenarios of low water-resource development and flow modification by dams and extraction, (2) how beta diversity of fish among and within rivers was associated with spatial hydrological variation and whether patterns of overall beta diversity differed between native and non-native species, and (3) the associations of spatial and environmental variables and both recent and long-term hydrology with beta diversity. Spatial variation in hydrology among rivers was higher under the modified scenario than under the low-development scenario yet change in the magnitude of within-river (longitudinal) variation was inconsistent between rivers. Beta diversity among rivers was significantly associated with spatial variation in hydrology only in certain circumstances (native species assemblages in specific years). Within-river beta diversity varied among rivers yet was unrelated to longitudinal variation in modified hydrological regimes. Patterns of beta diversity did not differ appreciably if non-native species were included in or excluded from analyses. These findings contradict predictions adopted in ecohydrological science that water resource development homogenises hydrological regimes, in turn causing biotic homogenisation in lowland rivers.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements The fish and hydrology datasets used here were produced as part of the New South Wales (NSW) Integrated Monitoring of Environmental Flows program, funded and supplied by the former NSW Department of Land and Water Conservation. Brendan Ebner and Adam Kerezsy generously provided images used in the graphical abstract. An anonymous reviewer provided useful comments that improved the manuscript. Funding This work was supported by the NSW Environmental Trust (reference: 2018/RD/0051). JH was funded by the Academy of Finland as part of the project “Regoverning the existing hydropower system: integrating ecological, economic and societal aspects of sustainability”.","This work was supported by the NSW Environmental Trust (reference: 2018/RD/0051). JH was funded by the Academy of Finland as part of the project “Regoverning the existing hydropower system: integrating ecological, economic and societal aspects of sustainability”.",The Science of The Total Environment,,,Animals; Biodiversity; Ecosystem; Fishes; Hydrology; Rivers,2021-07-20,2021,2021-07-20,2021-12,798,,149170,Closed,Article,"Rolls, Robert J; Chessman, Bruce C; Heino, Jani; Wolfenden, Ben; Growns, Ivor O; Cheshire, Katherine J M; Curwen, Graeme; Ryan, David; Butler, Gavin L","Rolls, Robert J (School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia. Electronic address: rrolls2@une.edu.au.); Chessman, Bruce C (Centre for Ecosystem Science, University of New South Wales, Sydney, NSW 2052, Australia.); Heino, Jani (Finnish Environment Institute, Freshwater Centre, Oulu, Finland.); Wolfenden, Ben (New South Wales Department of Planning, Industry and Environment, NSW, Australia.); Growns, Ivor O (School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.); Cheshire, Katherine J M (New South Wales Department of Primary Industries-Fisheries, NSW, Australia.); Curwen, Graeme (Australian Rivers Institute, Griffith University, Nathan, QLD 4111, Australia.); Ryan, David (New South Wales Department of Planning, Industry and Environment, NSW, Australia.); Butler, Gavin L (New South Wales Department of Primary Industries-Fisheries, NSW, Australia.)","Rolls, Robert J (University of New England)","Rolls, Robert J (University of New England); Chessman, Bruce C (UNSW Sydney); Heino, Jani (Finnish Environment Institute); Wolfenden, Ben (New South Wales Department of Planning, Industry and Environment, NSW, Australia.); Growns, Ivor O (University of New England); Cheshire, Katherine J M (New South Wales Department of Primary Industries); Curwen, Graeme (Griffith University); Ryan, David (New South Wales Department of Planning, Industry and Environment, NSW, Australia.); Butler, Gavin L (New South Wales Department of Primary Industries)",5,5,0.11,1.44,,https://app.dimensions.ai/details/publication/pub.1139796537,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4102 Ecological Applications,
3887,pub.1151482760,10.1016/j.scitotenv.2022.159110,36191713,,Cumulative ecosystem response to Hydraulic Engineering Infrastructure Projects in an arid basin,"Hydraulic Engineering Infrastructure Projects (HEIPs) typically show profound effects on hydrological systems and ecosystems. However, data restrictions have limited the exploration of the influences of compound HEIPs on ecosystems to a few studies. This study proposes a watershed-wide ecosystem assessment framework to investigate the impact of HEIPs in the Tarim River Headwaters-Hotan River Basin on the ecosystem of the arid zone. The framework includes a deep learning-meta cellular automata algorithm (DLMCAA) based on the spatiotemporal characteristics of HEIPs and hydro-meteorological and human activities. Moreover, the spatiotemporal relationships between compound HEIPs and ecosystem variances were quantified. The framework including DLMCAA showed a good performance in simulating landcover in 2020, with a Kappa coefficient of 0.89. Therefore, the DLMCAA could be used to simulate and predict ecosystem changes under the HEIPs, which suggested that the framework is effective and practical. An analysis of the spatiotemporal distribution of each ecosystem from 1980 to 2020 showed that the low shrub ecosystems changed most significantly (26.38 %) between 1980 and 2020. Also, the use of spatially driven hydrological project data from different ABC scenarios showed that ecosystems driven by HEIPs were more stable compared to those without HEIPs under future climate change. In particular, the DLMCAA indicated that compound HEIPs had a more positive impact on ecosystem oases in arid lands compared with that of single HEIPs. The results of this study can serve as a scientific reference for assessing the impact of HEIPs, as well as for understanding ecosystem changes and facilitating sustainable water resource management in the arid regions.","This study was supported by the National Natural Scientific Foundation of China (NSFC) (No.51779074, No.41371052) and the State&#x27;s Key Project of Research and Development Plan (2017YFC0404304).",,The Science of The Total Environment,,,Humans; Ecosystem; Hydrology; Rivers; Water Resources; Desert Climate; China,2022-09-30,2022,2022-09-30,2023-01,856,Pt 2,159110,Closed,Article,"Wang, Jing; Xue, Lianqing; Zhou, Liyong; Wei, Linyong; Hu, Siwen; Wu, Hongshi; Zhang, Hao; Xiang, Chenguang; Li, Xinghan","Wang, Jing (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China.); Xue, Lianqing (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China; Wanjiang University of Technology, Anhui 243031, PR China. Electronic address: lqxue@hhu.edu.cn.); Zhou, Liyong (Xinjiang Institute of Water Resources and Hydropower Research, Urumqi 830009, PR China.); Wei, Linyong (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China.); Hu, Siwen (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China.); Wu, Hongshi (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China.); Zhang, Hao (College of Environment, Hohai University, Nanjing 210098, PR China.); Xiang, Chenguang (College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China.); Li, Xinghan (Institute of Tropical Bioscience and Biotechnology, Hainan Key Laboratory of Functional Components and Utilization of Marine Biological Resources, Chinese Academy of Tropical Agricultural Science, Haikou 571101, PR China.)","Xue, Lianqing (Hohai University; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China; Wanjiang University of Technology, Anhui 243031, PR China. Electronic address: lqxue@hhu.edu.cn.)","Wang, Jing (Hohai University); Xue, Lianqing (Hohai University; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, PR China; Wanjiang University of Technology, Anhui 243031, PR China. Electronic address: lqxue@hhu.edu.cn.); Zhou, Liyong (Xinjiang Institute of Water Resources and Hydropower Research); Wei, Linyong (Hohai University); Hu, Siwen (Hohai University); Wu, Hongshi (Hohai University); Zhang, Hao (Hohai University); Xiang, Chenguang (Hohai University); Li, Xinghan (Tropical Bioscience and Biotechnology Research Institute)",4,4,,2.14,,https://app.dimensions.ai/details/publication/pub.1151482760,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,
3885,pub.1115922712,10.1007/s10661-019-7537-6,31134382,,Water quality dynamic during rainfall episodes: integrated approach to assess diffuse pollution using automatic sampling,"Diffuse pollution caused by rainfall events potentially affects water quality in rivers and, therefore, must be investigated in order to improve water quality planning and management recovery strategies. For these, a quali-quantitative approach was used to monitor the water quality parameters in a river located in a semi-urban watershed area based upon automatic sampling. Thirteen water quality parameters were measured during five rainfall events. Events ranged from 2.3 to 56.8 mm and water peak flows from 3.3 to 4.5 m3/s. The pollutographs measured showed a standard pattern for total suspended solids (TSS). However, for the other chemical parameters, as total phosphorous (TP) and dissolved organic carbon (DOC), the dilution effects were more evident. It was possible to observe the rainfall influence mainly for physical parameters indicating a mass transport pattern for diffuse pollutants, which increased, for example, the amount of TSS in the river. Furthermore, hydrological characteristics were relevant considering the pollutant behavior. Antecedent dry periods, ranging from 1.3 days to 21.4 days, and critical time, from 2.0 to 10.4 h, are determinants to evaluate non-traditional water quality impacts in the river. In general, each rainfall episode has its own characteristics, which produces distinct mass contribution and temporal behavior, being challenging in making generalization. Therefore, the results indicate that diffuse pollution has to be considered to establish future decision-making strategies to water resources management.",The authors wish to thank the Coordenação de Aperfeiçoamento Pessoal de Nível Superior (CAPES) and Brazilian Council for Research (CNPq) for the financial support of this research and the Water Resources and Environmental Engineering Graduate Program (PPGERHA) at the Federal University of Paraná (UFPR) for all the technical support.,,Environmental Monitoring and Assessment,,,"Brazil; Environmental Monitoring; Phosphorus; Rain; Rivers; Water Pollutants, Chemical; Water Pollution; Water Quality",2019-05-28,2019,2019-05-28,2019-06,191,6,402,Closed,Article,"Kozak, Caroline; Fernandes, Cristovão Vicente Scapulatempo; Braga, Sérgio Michelotto; do Prado, Luciane Lemos; Froehner, Sandro; Hilgert, Stephan","Kozak, Caroline (PPGERHA—Universidade Federal do Parana (UFPR), Av. Cel. Francisco H. dos Santos—Jardim das Americas, 81531-980, Curitiba, PR, Brazil); Fernandes, Cristovão Vicente Scapulatempo (Dept. of Hydraulics and Sanitation, Universidade Federal do Parana (UFPR), Av. Cel. Francisco H. dos Santos—Jardim das Americas, 81531-980, Curitiba, PR, Brazil); Braga, Sérgio Michelotto (Dept. of Hydraulics and Sanitation, Universidade Federal do Parana (UFPR), Av. Cel. Francisco H. dos Santos—Jardim das Americas, 81531-980, Curitiba, PR, Brazil); do Prado, Luciane Lemos (Dept. of Hydraulics and Sanitation, Universidade Federal do Parana (UFPR), Av. Cel. Francisco H. dos Santos—Jardim das Americas, 81531-980, Curitiba, PR, Brazil); Froehner, Sandro (Dept. of Environmental Engineering, Universidade Federal do Parana (UFPR), Av. Cel. Francisco H. dos Santos—Jardim das Americas, 81531-980, Curitiba, PR, Brazil); Hilgert, Stephan (Karlsruhe Institute of Technology, Karlsruhe, Germany)","Fernandes, Cristovão Vicente Scapulatempo (Federal University of Paraná)","Kozak, Caroline (Federal University of Paraná); Fernandes, Cristovão Vicente Scapulatempo (Federal University of Paraná); Braga, Sérgio Michelotto (Federal University of Paraná); do Prado, Luciane Lemos (Federal University of Paraná); Froehner, Sandro (Federal University of Paraná); Hilgert, Stephan (Karlsruhe Institute of Technology)",18,8,0.96,2.87,,https://app.dimensions.ai/details/publication/pub.1115922712,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,6 Clean Water and Sanitation
3885,pub.1149112189,10.1016/j.ecolind.2022.109047,35991318,PMC9389467,"Physical habitat in conterminous US streams and Rivers, part 2: A quantitative assessment of habitat condition","Rigorous assessments of the ecological condition of water resources and the effect of human activities on those waters require quantitative physical, chemical, and biological data. The U.S. Environmental Protection Agency's river and stream surveys quantify river and stream bed particle size and stability, instream habitat complexity and cover, riparian vegetation cover and structure, and anthropogenic disturbance activities. Physical habitat is strongly controlled by natural geoclimatic factors that co-vary with human activities. We expressed the anthropogenic alteration of physical habitat as O/E ratios of observed habitat metric values divided by values expected under least-disturbed reference conditions, where site-specific expected values vary given their geoclimatic and geomorphic context. We set criteria for good, fair, and poor condition based on the distribution of O/E values in regional least-disturbed reference sites. Poor conditions existed in 22-24% of the 1.2 million km of streams and rivers in the conterminous U.S. for riparian human disturbance, streambed sediment and riparian vegetation cover, versus 14% for instream habitat complexity. Based on the same four indicators, the percentage of stream length in poor condition within 9 separate U.S. ecoregions ranged from 4% to 42%. Associations of our physical habitat indices with anthropogenic pressures demonstrate the scope of anthropogenic habitat alteration; habitat condition was negatively related to the level of anthropogenic disturbance nationally and in nearly all ecoregions. Relative risk estimates showed that streams and rivers with poor sediment, riparian cover complexity, or instream habitat cover conditions were 1.4 to 2.6 times as likely to also have fish or macroinvertebrate assemblages in poor condition. Our physical habitat condition indicators help explain deviations in biological conditions from those observed among least-disturbed sites and inform management actions for rehabilitating impaired waters and mitigating further ecological degradation.","Field data were collected by numerous federal, state, contract, and tribal collaborators, who made this paper possible. The NRSA surveys and this analysis were funded by the U.S. Environmental Protection Agency, and C. Seeliger&#x27;s contributions were funded through USEPA contract HHSN316201200013W with General Dynamics Information Technology (GDIT) corporation. We thank John Van Sickle and Tony Olsen for statistical advice; Marc Weber for guidance on use of landscape variables, and Susan Holdsworth and Sarah Lehmann for oversight and funding. Our manuscript was improved by reviews from Chris Zell, William Schweiger, and two anonymous journal reviewers. Special thanks to Associate Editor Dr. Heikki Olavi Hamalainen for facilitating comprehensive, rigorous, and thoughtful peer reviews of our manuscript for Ecological Indicators. The views expressed in this article are those of the authors and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency. Any mention of trade names, products, or services does not imply an endorsement by the U.S. Government or the U.S. Environmental Protection Agency. The EPA does not endorse any commercial products, services, or enterprises.",,Ecological Indicators,,,,2022-08,2022,,2022-08,141,Hydrobiologia 422 423 2000,109047,All OA; Gold,Article,"Kaufmann, Philip R.; Hughes, Robert M.; Paulsen, Steven G.; Peck, David V.; Seeliger, Curt W.; Kincaid, Tom; Mitchell, Richard M.","Kaufmann, Philip R. (U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Pacific Ecological Systems Division, 200 SW 35th Street, Corvallis, OR 97333, USA; Department of Fisheries, Wildlife, & Conservation Sciences, Oregon State University, Corvallis, OR 97331, USA); Hughes, Robert M. (Department of Fisheries, Wildlife, & Conservation Sciences, Oregon State University, Corvallis, OR 97331, USA; Amnis Opes Institute, 2895 Southeast Glenn Street, Corvallis, OR 97333, USA); Paulsen, Steven G. (U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Pacific Ecological Systems Division, 200 SW 35th Street, Corvallis, OR 97333, USA); Peck, David V. (U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Pacific Ecological Systems Division, 200 SW 35th Street, Corvallis, OR 97333, USA); Seeliger, Curt W. (GDIT, 200 SW 35th Street, Corvallis, OR 97333, USA); Kincaid, Tom (U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Pacific Ecological Systems Division, 200 SW 35th Street, Corvallis, OR 97333, USA); Mitchell, Richard M. (U.S. Environmental Protection Agency, Office of Water, Washington, DC, USA)","Kaufmann, Philip R. (Environmental Protection Agency; Oregon State University)","Kaufmann, Philip R. (Environmental Protection Agency; Oregon State University); Hughes, Robert M. (Oregon State University; Amnis Opes Institute, 2895 Southeast Glenn Street, Corvallis, OR 97333, USA); Paulsen, Steven G. (Environmental Protection Agency); Peck, David V. (Environmental Protection Agency); Seeliger, Curt W. (GDIT, 200 SW 35th Street, Corvallis, OR 97333, USA); Kincaid, Tom (Environmental Protection Agency); Mitchell, Richard M. (Environmental Protection Agency)",22,20,1.14,11.85,https://doi.org/10.1016/j.ecolind.2022.109047,https://app.dimensions.ai/details/publication/pub.1149112189,31 Biological Sciences; 3103 Ecology; 41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,15 Life on Land
3883,pub.1164815116,10.3390/biology12101315,37887025,PMC10604692,Assessing the Impact of Anthropic Pressures on Aquatic Macroinvertebrates: A Functional Trait Approach in the Irtysh River Watershed,"Little is known about how changes in the biodiversity and functional traits of macroinvertebrates in rivers respond to the responses of anthropic pressures and their driving factors. Macroinvertebrates were sampled at 17 sites in the Irtysh River Basin and classified macroinvertebrates into 10 traits and 38 categories between May and August 2022. Then, we performed R-mode linked to Q-mode (RLQ) analysis and calculated functional richness, evenness, divergence, and Rao's quadratic entropy (RaoQ) for each site and community-weighted means for each trait category. Our results indicated that there were pronounced alterations in species variability in the urban region. Functional divergence indicated fierce competition among species and considerable niche overlap in the urban region. Functional evenness indicated that species abundance distribution and interspecific functional distance were not uniform in the urban region. Functional richness indicated that the urban region was the strongest region in terms of niche occupation, resource utilization, and buffering capacity for environmental fluctuations. Rao's quadratic entropy showed that the trait difference of macroinvertebrates was the largest in all regions, which was caused by the gradient environmental difference. Research has revealed that urbanization significantly influences the evolutionary trajectory of macroinvertebrate fauna, culminating in an upsurge in pollution-tolerant species and a convergence of functional traits. We recommend strengthening the control of urban and industrial pollution and wise planning and management of land and water resources to mitigate the impact of anthropogenic destruction on habitat fragmentation in the Irtysh River Basin.",,"This study was funded by the Third Xinjiang Scientific Expedition Program (Nos. 2021xjkk0600), the National Natural Science Foundation of China (Nos. 31360635), and the Key Research Project of Science and Technology Bureau of Xinjiang Production and Construction Corps (Nos. 2022DB019).",Biology,,,,2023-10-08,2023,2023-10-08,,12,10,1315,All OA; Gold,Article,"Liu, Fei; Zi, Fangze; Wang, Xinyue; Zeng, Honghui; Huo, Bin; Wang, Chengxin; Ge, Jianmin; Chen, Shengao; Wang, Baoqiang","Liu, Fei (Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Zi, Fangze (Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Wang, Xinyue (Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Zeng, Honghui (Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China;, zhh@ihb.ac.cn); Huo, Bin (College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China;, huobin@mail.hzau.edu.cn); Wang, Chengxin (Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Ge, Jianmin (Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Chen, Shengao (Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Wang, Baoqiang (Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China;, zhh@ihb.ac.cn)","Chen, Shengao (Tarim University; Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Wang, Baoqiang (Institute of Hydrobiology)","Liu, Fei (Tarim University; Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Zi, Fangze (Tarim University; Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Wang, Xinyue (Tarim University; Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Zeng, Honghui (Institute of Hydrobiology); Huo, Bin (Huazhong Agricultural University); Wang, Chengxin (Tarim University; Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Ge, Jianmin (Tarim University; Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Chen, Shengao (Tarim University; Tarim Research Center of Rare Fishes, College of Life Sciences and Technology, Tarim University, Alar 843300, China;, liufei01@ihb.ac.cn, (F.L.);, 10757213076@stumail.taru.edu.cn, (F.Z.);, 120050007@taru.edu.cn, (X.W.);, 10757203067@stumail.taru.edu.cn, (C.W.);, 10757212140@stumail.taru.edu.cn, (J.G.)); Wang, Baoqiang (Institute of Hydrobiology)",2,2,,,https://www.mdpi.com/2079-7737/12/10/1315/pdf?version=1696816198,https://app.dimensions.ai/details/publication/pub.1164815116,31 Biological Sciences; 3103 Ecology,14 Life Below Water; 15 Life on Land
3881,pub.1153191124,10.3390/toxics10120726,36548559,PMC9783363,"Health Risk Assessment Based on Source Identification of Heavy Metal(loid)s: A Case Study of Surface Water in the Lijiang River, China","In this study, 24 surface water samples were collected from the main trunk/tributary of the Lijiang River during the wet season (April) and the dry season (December) in 2021. The total concentration of 11 heavy metal(loid)s (Al, Cu, Pb, Zn, Cr, Ni, Co, Cd, Mn, As, and Hg) was determined to investigate their physicochemical properties and spatial-temporal distribution characteristics. The heavy metal evaluation index (HEI) and the positive matrix factorization (PMF) model were employed to evaluate water quality and to reveal quantitatively identified pollution sources for further investigation to obtain a health risk assessment using the hazard index (HI) and carcinogenic risk (CR) of various pollution sources. The mean concentrations of heavy metal(loid)s in surface water in the wet and dry seasons were ranked as: Al > Mn > Zn > Ni > Cd > Cr > Cu > As >Hg = Pb > Co, with the mean concentration of Hg being higher than the national Class II surface water environmental quality standard (GB3838-2002). In terms of time scale, the concentration of most heavy metal(loid)s was higher in the wet season; most heavy metal(loid)s were distributed mainly in the midstream area. HEI index indicated that the main water quality status was “slightly affected” in the study area. Five potential sources of pollution were obtained from the PMF model, including industrial activities, traffic sources, agricultural activities, domestic waste emissions, and natural resources. The source-oriented risk assessment indicated that the largest contributions of HI and CR were agricultural sources in the Lijiang River. This study provides a “target” for the precise control of pollution sources, which has a broad impact on improving the fine management of the water environment in the basin.",,"This work was supported by the National Natural Science Foundation of China (grant no.: 42177075), the Guangxi Natural Science Foundation (grant no.: GuikeAB21196050), and Survey and Mapping of Karst Geology in Key Areas of “One Belt, One Road” (grant no.: DD20221808).",Toxics,,,,2022-11-25,2022,2022-11-25,,10,12,726,All OA; Gold,Article,"Wang, Yu; Xin, Cunlin; Yu, Shi; Xie, Yincai; Zhang, Wanjun; Fu, Rongjie","Wang, Yu (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.; Key Laboratory of Karst Dynamics, MNR & GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Xin, Cunlin (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.); Yu, Shi (Key Laboratory of Karst Dynamics, MNR & GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Xie, Yincai (Key Laboratory of Karst Dynamics, MNR & GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Zhang, Wanjun (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.; Key Laboratory of Karst Dynamics, MNR & GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Fu, Rongjie (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.; Key Laboratory of Karst Dynamics, MNR & GZAR, Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.)","Xin, Cunlin (Northwest Normal University; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.); Yu, Shi (Chinese Academy of Geological Sciences; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.)","Wang, Yu (Northwest Normal University; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.; Chinese Academy of Geological Sciences; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Xin, Cunlin (Northwest Normal University; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.); Yu, Shi (Chinese Academy of Geological Sciences; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Xie, Yincai (Chinese Academy of Geological Sciences; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Zhang, Wanjun (Northwest Normal University; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.; Chinese Academy of Geological Sciences; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.); Fu, Rongjie (Northwest Normal University; Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.; Chinese Academy of Geological Sciences; International Research Center on Karst under the Auspices of UNESCO, Guilin 541004, China.)",5,5,0.8,1.93,https://www.mdpi.com/2305-6304/10/12/726/pdf?version=1669704160,https://app.dimensions.ai/details/publication/pub.1153191124,41 Environmental Sciences; 4105 Pollution and Contamination,
3881,pub.1013040291,10.3390/ijerph120809492,26274970,PMC4555293,Seasonal-Spatial Distribution and Long-Term Variation of Transparency in Xin’anjiang Reservoir: Implications for Reservoir Management,"Water transparency is a useful indicator of water quality or productivity and is widely used to detect long-term changes in the water quality and eutrophication of lake ecosystems. Based on short-term spatial observations in the spring, summer, and winter and on long-term site-specific observation from 1988 to 2013, the spatial, seasonal, long-term variations, and the factors affecting transparency are presented for Xin'anjiang Reservoir (China). Spatially, transparency was high in the open water but low in the bays and the inflowing river mouths, reflecting the effect of river runoff. The seasonal effects were distinct, with lower values in the summer than in the winter, most likely due to river runoff and phytoplankton biomass increases. The transparency decreased significantly with a linear slope of 0.079 m/year, indicating a 2.05 m decrease and a marked decrease in water quality. A marked increase occurred in chlorophyll a (Chla) concentration, and a significant correlation was found between the transparency and Chla concentration, indicating that phytoplankton biomass can partially explain the long-term trend of transparency in Xin'anjiang Reservoir. The river input and phytoplankton biomass increase were associated with soil erosion and nutrient loss in the catchment. Our study will support future management of water quality in Xin'anjiang Reservoir.","This study was jointly funded by the Key Program of Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences (NIGLAS2012135003), the Provincial Natural Science Foundation of Jiangsu of China (BK2012050), the State Key Laboratory of Lake Science and Environment (2014SKL004), and the Key Scientific and Technical Innovation Project of Hangzhou Science and Technology Bureau (20140533B11). The authors would like to thank Xiaohan Liu, Yibo Zhang, Gang Liu, and Yang Bai for their participation in the field samples collection and experimental analysis.",,International Journal of Environmental Research and Public Health,,Yu-Pin Lin,Bays; Biomass; China; Chlorophyll; Chlorophyll A; Conservation of Natural Resources; Ecosystem; Eutrophication; Fresh Water; Lakes; Phytoplankton; Rain; Rivers; Seasons; Spatial Analysis; Water Quality,2015-08-01,2015,2015-08-12,2015-08-01,12,8,9492-9507,All OA; Gold,Article,"Wu, Zhixu; Zhang, Yunlin; Zhou, Yongqiang; Liu, Mingliang; Shi, Kun; Yu, Zuoming","Wu, Zhixu (Chun’an Environmental Monitoring Station, Hangzhou 311700, China; E-Mail:, caepb@126.com); Zhang, Yunlin (Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; E-Mails:, yohnchou917251@126.com, (Y.Z.);, kshi@niglas.ac.cn, (K.S.)); Zhou, Yongqiang (Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; E-Mails:, yohnchou917251@126.com, (Y.Z.);, kshi@niglas.ac.cn, (K.S.); College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China); Liu, Mingliang (Institute of Environmental Protection Science, Hangzhou 310014, China; E-Mails:, lmllyx@163.com, (M.L.);, yzm0571@163.com, (Z.Y.)); Shi, Kun (Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; E-Mails:, yohnchou917251@126.com, (Y.Z.);, kshi@niglas.ac.cn, (K.S.)); Yu, Zuoming (Institute of Environmental Protection Science, Hangzhou 310014, China; E-Mails:, lmllyx@163.com, (M.L.);, yzm0571@163.com, (Z.Y.))","Zhang, Yunlin (Nanjing Institute of Geography and Limnology; Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; E-Mails:, yohnchou917251@126.com, (Y.Z.);, kshi@niglas.ac.cn, (K.S.))","Wu, Zhixu (Chun’an Environmental Monitoring Station, Hangzhou 311700, China; E-Mail:, caepb@126.com); Zhang, Yunlin (Nanjing Institute of Geography and Limnology; Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; E-Mails:, yohnchou917251@126.com, (Y.Z.);, kshi@niglas.ac.cn, (K.S.)); Zhou, Yongqiang (Nanjing Institute of Geography and Limnology; Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; E-Mails:, yohnchou917251@126.com, (Y.Z.);, kshi@niglas.ac.cn, (K.S.); University of Chinese Academy of Sciences); Liu, Mingliang (Institute of Environmental Protection Science, Hangzhou 310014, China; E-Mails:, lmllyx@163.com, (M.L.);, yzm0571@163.com, (Z.Y.); Institute of Environmental Protection Science, Hangzhou 310014, China; E-Mails:, lmllyx@163.com, (M.L.);, yzm0571@163.com, (Z.Y.)); Shi, Kun (Nanjing Institute of Geography and Limnology; Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China; E-Mails:, yohnchou917251@126.com, (Y.Z.);, kshi@niglas.ac.cn, (K.S.)); Yu, Zuoming (Institute of Environmental Protection Science, Hangzhou 310014, China; E-Mails:, lmllyx@163.com, (M.L.);, yzm0571@163.com, (Z.Y.); Institute of Environmental Protection Science, Hangzhou 310014, China; E-Mails:, lmllyx@163.com, (M.L.);, yzm0571@163.com, (Z.Y.))",36,7,0.84,4.07,https://www.mdpi.com/1660-4601/12/8/9492/pdf?version=1439389537,https://app.dimensions.ai/details/publication/pub.1013040291,37 Earth Sciences; 3707 Hydrology,
3879,pub.1013388069,10.1007/s00267-014-0411-y,25432451,,A Risk Assessment Approach to Manage Inundation of Elseya albagula Nests in Impounded Waters: A Win–Win Situation?,"A risk assessment process was used to trial the impact of potential new operating rules on the frequency of nest inundation for the White-throated snapping turtle, Elseya albagula, in the impounded waters of the Burnett River, Queensland, Australia. The proposed operating rules would increase the barrage storage level during the turtle nesting season (May–July) and then would be allowed to reduce to a lower level for incubation for the rest of the year. These proposed operating rules reduce rates of nest inundation by altering water levels in the Ben Anderson Barrage impoundment of the Burnett River. The rules operate throughout the turtle reproductive period and concomitantly improve stability of littoral habitat and fishway operation. Additionally, the proposed rules are expected to have positive socio-economic benefits within the region. While regulated water resources will inherently have a number of negative environmental implications, these potential new operating rules have the capacity to benefit the environment while managing resources in a more sustainable manner. The operating rules have now been enacted in subordinate legislation and require the operator to maintain water levels to minimize turtle nest inundation.","Funding for this turtle research was provided by the Queensland Department of Infrastructure and Planning as part of the Burnett Plan of Action, Phase 2. This funding was administered by the former Department of Environment and Resource Management. The continuation of the project since 2012 is managed by the Department of Environment and Heritage Protection. The authors were supported in the field studies by staff and volunteers, particularly William (Joel) Hodge and Claire Johnston. These studies were conducted for the Queensland Turtle Conservation Project DERM/2009/10/08–13 in accordance with the standard practices approved under the DERM Animal Experimentation Ethics Committee. Geoff Houghton, Director, Chaverim Outdoor Activities and Environment Centre gave access through their land and assisted with collection of data. SunWater Pty Ltd gave access through their lands to access nesting areas and provided river height data. Glenn McGregor (DSITIA) assisted in understanding the risk assessment process. Matthew Tuffield (DNRM) produced and edited figures used in the manuscript. Bob Mayer (Department of Agriculture, Forestry and Fisheries) assisted in interpreting statistical analyses. Bernie Cockayne and Dean Collins (DNRM) provided early reviews of the manuscript.",,Environmental Management,,,Animals; Conservation of Natural Resources; Ecosystem; Floods; Queensland; Reproduction; Risk Assessment; Rivers; Socioeconomic Factors; Turtles; Water Movements,2014-11-29,2014,2014-11-29,2015-03,55,3,715-724,Closed,Article,"McDougall, A. J.; Espinoza, T.; Hollier, C.; Limpus, D. J.; Limpus, C. J.","McDougall, A. J. (Queensland Department of Natural Resources and Mines, 16-32 Enterprise Street, 4670, Bundaberg, QLD, Australia); Espinoza, T. (Queensland Department of Natural Resources and Mines, 16-32 Enterprise Street, 4670, Bundaberg, QLD, Australia); Hollier, C. (67 Haldane Street, 3193, Beaumaris, VIC, Australia); Limpus, D. J. (Queensland Department of Environment and Heritage Protection, 16-32 Enterprise Street, 4670, Bundaberg, QLD, Australia); Limpus, C. J. (Queensland Department of Environment and Heritage Protection, Level 1, EcoSciences Precinct, 41 Boggo Road, Dutton Park, 4102, Brisbane, QLD, Australia)","McDougall, A. J. (Queensland Department of Natural Resources and Mines, 16-32 Enterprise Street, 4670, Bundaberg, QLD, Australia)","McDougall, A. J. (Queensland Department of Natural Resources and Mines, 16-32 Enterprise Street, 4670, Bundaberg, QLD, Australia); Espinoza, T. (Queensland Department of Natural Resources and Mines, 16-32 Enterprise Street, 4670, Bundaberg, QLD, Australia); Hollier, C. (67 Haldane Street, 3193, Beaumaris, VIC, Australia); Limpus, D. J. (Queensland Department of Environment and Heritage Protection, 16-32 Enterprise Street, 4670, Bundaberg, QLD, Australia); Limpus, C. J. (Queensland Department of Environment and Science)",11,5,0.21,1.39,,https://app.dimensions.ai/details/publication/pub.1013388069,31 Biological Sciences; 3109 Zoology,
3879,pub.1141193465,10.1007/s11356-021-16344-6,34535862,,Spatial optimization of the water quality monitoring network in São Paulo State (Brazil) to improve sampling efficiency and reduce bias in a developing sub-tropical region,"Water quality monitoring networks (WQMNs) are essential to provide good data for management decisions. Nevertheless, some WQMNs may not appropriately reflect the conditions of the water bodies and their temporal/spatial dimensions, more particularly in developing countries. Also, some WQMNs may use more resources to attain management goals than necessary and can be improved. Here we analyzed the São Paulo State (Brazil) WQMN design in order to evaluate and increase its spatial representativeness based on cluster analysis and stratified sampling strategy focused on clear monitoring goals. We selected water resources management units (UGRHIs) representative of contrasting land uses in the state, with bimonthly data from 2004 to 2018 in 160 river/stream sites. Cluster analysis indicated monitoring site redundancy above 20% in most of the UGRHIs. We identified heterogeneous spatial strata based on land use, hydrological, and geological features through a stratified sampling strategy. We identified that monitoring sites overrepresented more impacted areas. Thus, the network is biased against determination of baseline conditions and towards highly modified aquatic systems. Our proposed spatial strategy suggested the reduction of the number of sites up to 12% in the UGRHIs with the highest population densities, while others would need expansions based on their environmental heterogeneity. The final densities ranged from 1.6 to 13.4 sites/1,000km2. Our results illustrate a successful approach to be considered in the São Paulo WQMN strategy, as well as providing a methodology that can be broadly applied in other developing countries.","DGFC thanks the National Council for Scientific and Technological Development (CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico) in Brazil for the research productivity grant (Process #310844/2020-7). RGBA thanks the Geological Survey of Brazil (CPRM, Companhia de Pesquisa de Recursos Minerais) for the in-kind support for this research.",,Environmental Science and Pollution Research,,,"Brazil; Environmental Monitoring; Population Density; Rivers; Water Pollutants, Chemical; Water Quality",2021-09-18,2021,2021-09-18,2022-02,29,8,11374-11392,Closed,Article,"de Almeida, Ricardo Gabriel Bandeira; Lamparelli, Marta Condé; Dodds, Walter Kennedy; Cunha, Davi Gasparini Fernandes","de Almeida, Ricardo Gabriel Bandeira (Departamento de Hidráulica e Saneamento, Escola de Engenharia de São Carlos, Universidade de São Paulo, Avenida Trabalhador São-Carlense, 400. Centro, CEP 13566-590, São Carlos, SP, Brazil); Lamparelli, Marta Condé (Companhia Ambiental do Estado de São Paulo, Avenida Professor Frederico Hermann Júnior, 345. Alto de Pinheiros, CEP 05459-900, São Paulo, SP, Brazil); Dodds, Walter Kennedy (Division of Biology, Kansas State University, 116 Ackert Hall, Manhattan, KS, USA); Cunha, Davi Gasparini Fernandes (Departamento de Hidráulica e Saneamento, Escola de Engenharia de São Carlos, Universidade de São Paulo, Avenida Trabalhador São-Carlense, 400. Centro, CEP 13566-590, São Carlos, SP, Brazil)","de Almeida, Ricardo Gabriel Bandeira (Universidade de São Paulo)","de Almeida, Ricardo Gabriel Bandeira (Universidade de São Paulo); Lamparelli, Marta Condé (Companhia Ambiental do Estado de São Paulo, Avenida Professor Frederico Hermann Júnior, 345. Alto de Pinheiros, CEP 05459-900, São Paulo, SP, Brazil); Dodds, Walter Kennedy (Kansas State University); Cunha, Davi Gasparini Fernandes (Universidade de São Paulo)",3,3,0.73,0.82,,https://app.dimensions.ai/details/publication/pub.1141193465,37 Earth Sciences; 41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
3877,pub.1112441764,10.3390/ijerph16050703,30818781,PMC6427118,Assessment of Water Footprints of Consumption and Production in Transboundary River Basins at Country-Basin Mesh-Based Spatial Resolution,"Water is unevenly distributed globally. This uneven distribution is the reason behind the differences among geographical areas in terms of their water footprint of consumption and production. This gives the global trade of goods a unique feature. This characteristic of the water footprint might be used to address water scarcity and conflicts because water availability also has the same trend. Transboundary river basins are freshwater resources with a high probability of water scarcity and conflict because the water is claimed by multiple sovereign countries. In order to design sharing mechanisms for transboundary river basins that incorporate virtual water concept, it is key to identify the virtual water balance of country-basin units. A study addressing this research gap is not yet available. This article identified and discussed net virtual water importer and exporter sub-basins of transboundary rivers at a country-basin mesh based spatial resolution. The results of our study show that out of the 565 country-basin units surveyed in this article 391, 369, and 461 are net gray, green, and blue virtual water importers respectively. These sub-basins covers 58.37%, 47.52% and 57.52% of the total area covered by transboundary river basins and includes 0.65, 1.9, and around 2 billion people, respectively. The results depict that not only the water endowment of sub-basins is a determining factor for their water footprint of consumption and production, but also their social, economic, and demographic profiles. Furthermore, the water footprint of consumption and production within most of the country-basin units have a global feature. Hence, sustainable water management schemes within border-crossing basins should take into account not only the local but also the global water footprints of consumption and production. This can offer more options for sharing transboundary river basins water capital, thereby minimizing the probability of water scarcity and water conflicts.",,This work was supported by the National Natural Science Foundation of China under grant number no.71874101.,International Journal of Environmental Research and Public Health,,,Conservation of Water Resources; Internationality; Rivers; Spatial Analysis; Water; Water Supply,2019-02-27,2019,2019-02-27,2019-03-01,16,5,703,All OA; Gold,Article,"Wu, Xia; Degefu, Dagmawi Mulugeta; Yuan, Liang; Liao, Zaiyi; He, Weijun; An, Min; Zhang, Zhaofang","Wu, Xia (School of Law and Public Administration, China Three Gorges University, Yichang 443002, China;, ctguwuxia@163.com); Degefu, Dagmawi Mulugeta (College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.); Faculty of Engineering and Architectural Science, Ryerson University, Toronto, ON M5B 2K3, Canada); Yuan, Liang (College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.)); Liao, Zaiyi (Faculty of Engineering and Architectural Science, Ryerson University, Toronto, ON M5B 2K3, Canada); He, Weijun (College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.)); An, Min (College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.); School of business, Hohai University, Nanjing 210098, China;, zackzhang@hhu.edu.cn); Zhang, Zhaofang (School of business, Hohai University, Nanjing 210098, China;, zackzhang@hhu.edu.cn)","Degefu, Dagmawi Mulugeta (China Three Gorges University; College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.); Toronto Metropolitan University); Yuan, Liang (China Three Gorges University; College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.)); Liao, Zaiyi (Toronto Metropolitan University)","Wu, Xia (China Three Gorges University); Degefu, Dagmawi Mulugeta (China Three Gorges University; College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.); Toronto Metropolitan University); Yuan, Liang (China Three Gorges University; College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.)); Liao, Zaiyi (Toronto Metropolitan University); He, Weijun (China Three Gorges University; College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.)); An, Min (China Three Gorges University; College of Economics and Management, China Three Gorges University, Yichang 443002, China;, weijunhe@ctgu.edu.cn, (W.H.);, anmin@hhu.edu.cn, (M.A.); Hohai University); Zhang, Zhaofang (Hohai University)",9,4,0.22,4.08,https://www.mdpi.com/1660-4601/16/5/703/pdf?version=1551254226,https://app.dimensions.ai/details/publication/pub.1112441764,38 Economics; 3801 Applied Economics,12 Responsible Consumption and Production; 6 Clean Water and Sanitation
3874,pub.1136299624,10.1007/s00267-021-01446-1,33693960,PMC9012716,Operationalizing Integrated Water Resource Management in Latin America: Insights from Application of the Freshwater Health Index,"Water crises in Latin America are more a consequence of poor management than resource scarcity. Addressing water management issues through better coordination, identification of problems and solutions, and agreement on common objectives to operationalize integrated water resources management (IWRM) could greatly improve water governance in the region. Composite indices have great potential to help overcome capacity and information challenges while supporting better IWRM. We applied one such index, the Freshwater Health Index (FHI) in three river basins in Latin America (Alto Mayo, Perú; Bogotá, Colombia; and Guandu, Brazil) to assess freshwater ecosystem vitality, ecosystem services, and the water governance system in place. The approach included convening management agencies, water utilities, planning authorities, local NGOs and industries, community groups and researchers to co-implement the FHI. The results provide detailed information on the ecological integrity of each basin and the sustainability of the ecosystem services being provided. All three basins show very low scores for governance and stakeholder engagement, thus improving both in the region should be a priority. The results also shed light on how the FHI framework can help inform decision-making to improve IWRM implementation by facilitating stakeholder engagement while contributing to coordination, identification of problems and solutions as well as agreement on common objectives. Because implementation of IWRM is part of the solution for the United Nations Sustainable Development Goal (SDG) 6.5 (“By 2030, implement IWRM at all levels, including through transboundary cooperation as appropriate”), our case studies can serve as examples to other Latin American countries to achieve SDG 6.5.","We are grateful for all the stakeholders and technical collaborators in Brazil, Colombia, and Perú, who set aside their valuable time to participate in the stakeholder meetings as well as to provide fundamental technical assistance throughout the course of the project.",This work was funded by grants from the Centro del Agua para America Latina y Caribe del Instituto Tecnológico de Monterrey (grant number DJ-PI-JEG-DO-ITESM-MTY-2018/061) and the Victor and William Fung Foundation.,Environmental Management,,,Conservation of Natural Resources; Ecosystem; Fresh Water; Latin America; Water; Water Resources,2021-03-10,2021,2021-03-10,2022-04,69,4,815-834,All OA; Hybrid,Article,"Bezerra, Maíra Ometto; Vollmer, Derek; Acero, Natalia; Marques, Maria Clara; Restrepo, Diego; Mendoza, Eddy; Coutinho, Bruno; Encomenderos, Ivo; Zuluaga, Lina; Rodríguez, Octavio; Shaad, Kashif; Hauck, Sarah; González, Ramon; Hernandéz, Francisco; Montelongo, Rodolfo; Torres, Eliana; Serrano, Lina","Bezerra, Maíra Ometto (Conservation International, Moore Center for Science, Arlington, VA, USA); Vollmer, Derek (Conservation International, Moore Center for Science, Arlington, VA, USA); Acero, Natalia (Conservation International Colombia, Bogotá, DC, Colombia); Marques, Maria Clara (Conservation International Brazil, Rio de Janeiro, RJ, Brazil); Restrepo, Diego (Conservation International Colombia, Bogotá, DC, Colombia); Mendoza, Eddy (Conservation International Perú, Lima, Perú); Coutinho, Bruno (Conservation International Brazil, Rio de Janeiro, RJ, Brazil); Encomenderos, Ivo (Conservation International Perú, Lima, Perú); Zuluaga, Lina (Conservation International Colombia, Bogotá, DC, Colombia); Rodríguez, Octavio (Conservation International Colombia, Bogotá, DC, Colombia); Shaad, Kashif (Conservation International, Moore Center for Science, Arlington, VA, USA); Hauck, Sarah (Conservation International, Moore Center for Science, Arlington, VA, USA); González, Ramon (Instituto Tecnológico de Monterrey, Centro del Agua para América Latina y Caribe, Monterrey, Mexico); Hernandéz, Francisco (Instituto Tecnológico de Monterrey, Centro del Agua para América Latina y Caribe, Monterrey, Mexico); Montelongo, Rodolfo (Instituto Tecnológico de Monterrey, Centro del Agua para América Latina y Caribe, Monterrey, Mexico); Torres, Eliana (Instituto Tecnológico de Monterrey, Centro del Agua para América Latina y Caribe, Monterrey, Mexico); Serrano, Lina (Instituto Tecnológico de Monterrey, Centro del Agua para América Latina y Caribe, Monterrey, Mexico)","Bezerra, Maíra Ometto (Conservation International)","Bezerra, Maíra Ometto (Conservation International); Vollmer, Derek (Conservation International); Acero, Natalia (Conservation International Colombia, Bogotá, DC, Colombia); Marques, Maria Clara (Conservation International Brazil, Rio de Janeiro, RJ, Brazil); Restrepo, Diego (Conservation International Colombia, Bogotá, DC, Colombia); Mendoza, Eddy (Conservation International Perú, Lima, Perú); Coutinho, Bruno (Conservation International Brazil, Rio de Janeiro, RJ, Brazil); Encomenderos, Ivo (Conservation International Perú, Lima, Perú); Zuluaga, Lina (Conservation International Colombia, Bogotá, DC, Colombia); Rodríguez, Octavio (Conservation International Colombia, Bogotá, DC, Colombia); Shaad, Kashif (Conservation International); Hauck, Sarah (Conservation International); González, Ramon (Monterrey Institute of Technology and Higher Education); Hernandéz, Francisco (Monterrey Institute of Technology and Higher Education); Montelongo, Rodolfo (Monterrey Institute of Technology and Higher Education); Torres, Eliana (Monterrey Institute of Technology and Higher Education); Serrano, Lina (Monterrey Institute of Technology and Higher Education)",21,19,3.25,12.96,https://link.springer.com/content/pdf/10.1007/s00267-021-01446-1.pdf,https://app.dimensions.ai/details/publication/pub.1136299624,38 Economics; 3801 Applied Economics,6 Clean Water and Sanitation
3874,pub.1014342092,10.1007/s00267-014-0442-4,25573801,,An Adaptive Watershed Management Assessment Based on Watershed Investigation Data,"Abstract
The aim of this study was to assess the states of watersheds in South Korea and to formulate new measures to improve identified inadequacies. The study focused on the watersheds of the Han River basin and adopted an adaptive watershed management framework. Using data collected during watershed investigation projects, we analyzed the management context of the study basin and identified weaknesses in water use management, flood management, and environmental and ecosystems management in the watersheds. In addition, we conducted an interview survey to obtain experts’ opinions on the possible management of watersheds in the future. The results of the assessment show that effective management of the Han River basin requires adaptive watershed management, which includes stakeholders’ participation and social learning. Urbanization was the key variable in watershed management of the study basin. The results provide strong guidance for future watershed management and suggest that nonstructural measures are preferred to improve the states of the watersheds and that consistent implementation of the measures can lead to successful watershed management. The results also reveal that governance is essential for adaptive watershed management in the study basin. A special ordinance is necessary to establish governance and aid social learning. Based on the findings, a management process is proposed to support new watershed management practices. The results will be of use to policy makers and practitioners who can implement the measures recommended here in the early stages of adaptive watershed management in the Han River basin. The measures can also be applied to other river basins.","This work was supported by the Korea Institute of Civil Engineering and Building Technology, Republic of Korea. The writers appreciate the useful comments of the Editor and the two anonymous reviewers.",,Environmental Management,,,Conservation of Natural Resources; Ecosystem; Environmental Policy; Republic of Korea; Rivers; Urbanization; Water Supply,2015-01-09,2015,2015-01-09,2015-05,55,5,1006-1021,Closed,Article,"Kang, Min Goo; Park, Seung Woo","Kang, Min Goo (Future Resources Institute, Woolim Lions Valley C-405, 371-28, Gasan-dong, Geumcheon-gu, 153-786, Seoul, South Korea); Park, Seung Woo (Department of Rural Systems Engineering, College of Agriculture and Life Sciences, Research Institute for Agriculture and Life Sciences, Seoul National University, Gwanak-gu, Seoul, South Korea)","Kang, Min Goo (Future Resources Institute, Woolim Lions Valley C-405, 371-28, Gasan-dong, Geumcheon-gu, 153-786, Seoul, South Korea)","Kang, Min Goo (Future Resources Institute, Woolim Lions Valley C-405, 371-28, Gasan-dong, Geumcheon-gu, 153-786, Seoul, South Korea); Park, Seung Woo (Seoul National University)",7,3,,0.84,,https://app.dimensions.ai/details/publication/pub.1014342092,41 Environmental Sciences; 4104 Environmental Management,15 Life on Land
3872,pub.1170366378,10.1016/j.jenvman.2024.120780,38569267,,Responses of streamflow to forest expansion in a typical subhumid watershed under future climate conditions,"Water availability in the subhumid region is highly vulnerable to frequent droughts. Water scarcity in this region has become a limiting factor for ecosystem health, human livelihood, and regional economic development. A notable pattern of land cover change in the subhumid region of the United States is the increasing forest area due to afforestation/reforestation and woody plant encroachment (WPE). Given the distinct hydrological processes and runoff generation between forests and grasslands, it is important to evaluate the impacts of forest expansion on water resources, especially under future climate conditions. In this study, we focused on a typical subhumid watershed in the United States - the Little River Watershed (LRW). Utilizing SWAT + simulations, we projected streamflow dynamics at the end of the 21st century in two climate scenarios (RCP45 and RCP85) and eleven forest expansion scenarios. In comparison to the period of 2000-2019, future climate change during 2080-2099 will increase streamflow in the Little River by 5.1% in the RCP45 but reduce streamflow significantly by 30.1% in the RCP85. Additionally, our simulations revealed a linear decline in streamflow with increasing forest coverage. If all grasslands in LRW were converted into forests, it would lead to an additional 41% reduction in streamflow. Of significant concern is Lake Thunderbird, the primary reservoir supplying drinking water to the Oklahoma City metropolitan area. Our simulation showed that if all grasslands were replaced by forests, Lake Thunderbird during 2080-2099 would experience an average of 8.6 years in the RCP45 and 9.4 years in the RCP85 with water inflow amount lower than that during the extreme drought event in 2011/2012. These findings hold crucial implications for the formulation of policies related to afforestation/reforestation and WPE management in subhumid regions, which is essential to ensuring the sustainability of water resources.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgement This work was supported by the Oklahoma NSF EPSCoR S3OK project (award number: OIA-1946093), S3OK project Research Seed Grant, USDA McIntire-Stennis Grant (OKL03249, OKL03151), and USDA Forest Service Agreement (21-JV-11330170-026). The authors would like to express their gratitude to Ms. Nancy Sammons for her assistance in providing the latest SWAT+ and technical support for the model simulations. The Authors declare that there are no conflicts of interests.",,Journal of Environmental Management,,,,2024-04-02,2024,2024-04-02,2024-04,357,,120780,All OA; Hybrid,Article,"Yang, Jia; Winrich, Abigail; Zhang, Tian; Qiao, Lei; Mattingly, Chris; Zou, Chris","Yang, Jia (Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK, 74078, USA. Electronic address: jia.yang11@okstate.edu.); Winrich, Abigail (Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK, 74078, USA.); Zhang, Tian (Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK, 74078, USA.); Qiao, Lei (Oklahoma Water Resources Center, Oklahoma State University, Stillwater, OK, 74078, USA.); Mattingly, Chris (Norman Utilities Authority, Norman, OK, 73070, USA.); Zou, Chris (Department of Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK, 74078, USA.)","Yang, Jia (Oklahoma State University)","Yang, Jia (Oklahoma State University); Winrich, Abigail (Oklahoma State University); Zhang, Tian (Oklahoma State University); Qiao, Lei (Oklahoma State University); Mattingly, Chris (Norman Utilities Authority, Norman, OK, 73070, USA.); Zou, Chris (Oklahoma State University)",0,0,,,https://doi.org/10.1016/j.jenvman.2024.120780,https://app.dimensions.ai/details/publication/pub.1170366378,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 15 Life on Land; 6 Clean Water and Sanitation
3870,pub.1149847861,10.1007/s10661-022-10277-4,35904687,,Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer),"Abstract
The nonlinear groundwater level fluctuations depend on the interaction of many factors such as evapotranspiration, precipitation, groundwater abstraction, and hydrogeological characteristics, making groundwater level prediction a complex task. Groundwater level changes are among the most critical issues in water resource management, which can be predicted to effectively provide management solutions to conserve renewable water resources. Understanding the aquifer status using numerical models is time-consuming and also is associated with inherent uncertainty; therefore, in recent decades, the application of artificial intelligence methods to predict water table fluctuations has significantly gained momentum. In this study, artificial neural network (ANN), fuzzy logic (FL), adaptive neuro-fuzzy inference system (ANFIS), and least square support vector machine (SVM) methods were utilized to predict groundwater level (GWL) with 1-, 2-, and 3-month lead time in Tehran-Karaj plain. Several input scenarios were developed considering groundwater levels, average temperature, total precipitation, total evapotranspiration, and average river flow on a monthly interval. The four error criteria, the correlation coefficient (R), root mean squared error (RMSE), Nash–Sutcliffe efficiency (NSE), and mean absolute error (MAE), were the basis to evaluate the models. Results showed that all the applied methods could provide acceptable GWL prediction, but the ANFIS was the most accurate. However, the ANFIS model showed slightly better performance by yielding R = 0.98 for the training stage and R = 0.98 for the testing stage in the P84 observation well and the second combination of inputs and 1-month lead time. The outcomes also revealed that all the approaches mentioned above could appropriately predict GWL for the leading time of 1 and 2 months, but the models provided unsatisfactory results for a 3-month leading time.",,,Environmental Monitoring and Assessment,,,Artificial Intelligence; Environmental Monitoring; Fuzzy Logic; Groundwater; Iran; Rivers,2022-07-29,2022,2022-07-29,2022-09,194,9,619,Closed,Article,"Vadiati, Meysam; Rajabi Yami, Zahra; Eskandari, Effat; Nakhaei, Mohammad; Kisi, Ozgur","Vadiati, Meysam (Global Affairs, Hubert H. Humphrey Fellowship Program, University of California, 10 College Park, 95616, Davis, CA, USA); Rajabi Yami, Zahra (Department of Applied Geology, Faculty of Earth Sciences, Kharazmi University, Tehran, Iran); Eskandari, Effat (Department of Geology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran); Nakhaei, Mohammad (Department of Applied Geology, Faculty of Earth Sciences, Kharazmi University, Tehran, Iran); Kisi, Ozgur (Department of Architecture and Civil Engineering, University of Applied Sciences Lübeck, 23562, Lübeck, Germany; Department of Civil Engineering, Ilia State University, 0162, Tbilisi, Georgia)","Vadiati, Meysam (Global Affairs, Hubert H. Humphrey Fellowship Program, University of California, 10 College Park, 95616, Davis, CA, USA)","Vadiati, Meysam (Global Affairs, Hubert H. Humphrey Fellowship Program, University of California, 10 College Park, 95616, Davis, CA, USA); Rajabi Yami, Zahra (Kharazmi University); Eskandari, Effat (Ferdowsi University of Mashhad); Nakhaei, Mohammad (Kharazmi University); Kisi, Ozgur (Department of Architecture and Civil Engineering, University of Applied Sciences Lübeck, 23562, Lübeck, Germany; Ilia State University)",25,25,2.23,13.35,,https://app.dimensions.ai/details/publication/pub.1149847861,37 Earth Sciences; 3707 Hydrology,
3867,pub.1157018113,10.1016/j.scitotenv.2023.163338,37023828,,Long-run forecasting surface and groundwater dynamics from intermittent observation data: An evaluation for 50 years,"The accurate prediction of water dynamics is critical for operational water resource management. In this study, we propose a novel approach to perform long-term forecasts of daily water dynamics, including river levels, river discharges, and groundwater levels, with a lead time of 7-30 days. The approach is based on the state-of-the-art neural network, bidirectional long short-term memory (BiLSTM), to enhance the accuracy and consistency of dynamic predictions. The operation of this forecasting system relies on an in-situ database observed for over 50 years with records gauging in 19 rivers, the karst aquifer, the English Channel, and the meteorological network in Normandy, France. To address the problem of missing measurements and gauge installations over time, we developed an adaptive scheme in which the neural network is regularly adjusted and re-trained in response to changing inputs during a long operation. Advances in BiLSTM with extensive learning past-to-future and future-to-past further help to avoid time-lag calibration that simplifies data processing. The proposed approach provides high accuracy and consistent prediction for the three water dynamics within a similar accuracy range as an on-site observation, with approximately 3 % error in the measurement range for the 7 day-ahead predictions and 6 % error for the 30 d-ahead predictions. The system also effectively fills the gap in actual measurements and detects anomalies at gauges that can last for years. Working with multiple dynamics not only proves that the data-driven model is a unified approach but also reveals the impact of the physical background of the dynamics on the performance of their predictions. Groundwater undergoes a slow filtration process following a low-frequency fluctuation, favoring long-term prediction, which differs from other higher-frequency river dynamics. The physical nature drives the predictive performance even when using a data-driven model.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,The Science of The Total Environment,,,,2023-04-05,2023,2023-04-05,2023-07,880,,163338,Closed,Article,"Vu, M.T.; Jardani, A.; Massei, N.; Deloffre, J.; Fournier, M.; Laignel, B.","Vu, M.T. (Université de Rouen, M2C, UMR 6143, CNRS, Morphodynamique Continentale et Côtière, Mont Saint Aignan, France); Jardani, A. (Université de Rouen, M2C, UMR 6143, CNRS, Morphodynamique Continentale et Côtière, Mont Saint Aignan, France); Massei, N. (Université de Rouen, M2C, UMR 6143, CNRS, Morphodynamique Continentale et Côtière, Mont Saint Aignan, France); Deloffre, J. (Université de Rouen, M2C, UMR 6143, CNRS, Morphodynamique Continentale et Côtière, Mont Saint Aignan, France); Fournier, M. (Université de Rouen, M2C, UMR 6143, CNRS, Morphodynamique Continentale et Côtière, Mont Saint Aignan, France); Laignel, B. (Université de Rouen, M2C, UMR 6143, CNRS, Morphodynamique Continentale et Côtière, Mont Saint Aignan, France)","Vu, M.T. (French National Centre for Scientific Research)","Vu, M.T. (French National Centre for Scientific Research); Jardani, A. (French National Centre for Scientific Research); Massei, N. (French National Centre for Scientific Research); Deloffre, J. (French National Centre for Scientific Research); Fournier, M. (French National Centre for Scientific Research); Laignel, B. (French National Centre for Scientific Research)",3,3,,,,https://app.dimensions.ai/details/publication/pub.1157018113,37 Earth Sciences; 3707 Hydrology,
3866,pub.1167979357,10.1016/j.jenvman.2024.120093,38232597,,Emerging trends and spatial shifts of drought potential across global river basins,"Droughts have devastating effects on various sectors and are difficult to quantify and track because of the invisible and slow but prevalent propagation. This dilemma is more significant in the case of the complex interactions between land and atmosphere mechanisms, which are inadequately considered in previous drought metrics. Here, we investigate the spatiotemporal variability of the recently devised metric called 'Drought Potential Index (DPI)', which incorporates the antecedent land water storage and current precipitation. Using the spatial weighted centroid method, we elucidate the emerging spatial movement of the DPI within 168 major global river basins and analyze its influential factors. Improved drought detection and performance disparity of DPI as compared with multi-scale (i.e., 1, 3, 6, 9, 12-month) Standardized Precipitation Index, ensemble soil moisture anomaly, and Total Storage Deficit Index corroborate the robustness and improved insights of DPI. Higher increasing trends in DPI are detected over dryland basins (0.39 ± 0.43 %/a) than in the humid zones (0.15 ± 0.34 %/a). Six hotspot basins, namely, Don, Yellow, Haihe, Rio Grande, Sao Francisco, and Ganges river basins, are identified with increasing (2.1-3.5%/a) DPI during 2003-2021. The interannual occurrence of the highest DPI, spatial shifts, and relative contribution of DPI's constituent variables correspond well to the climatic and anthropogenic changes in humid and dry land basins. The absolute latitudinal/longitudinal shifts of ∼2° (as high as ∼3.2/4.9°) in DPI in 30% (47 out of 168 basins) of the global basins highlight the need for analyzing the water scarcity problems from both the perspectives of long-term trends and spatial shifts. Our findings provide a global assessment of the spatiotemporal shifts of drought potential and will be beneficial to understanding the anthropogenic and climatic influences on water resource management under a changing environment.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Center of Wuhan University.,,Journal of Environmental Management,,,Droughts; Rivers; Water; Atmosphere; Soil; Climate Change,2024-01-16,2024,2024-01-16,2024-02,352,,120093,Closed,Article,"Xiong, Jinghua; Abhishek; Guo, Shenglian; Kinouchi, Tsuyoshi; Anjaneyulu, Roniki","Xiong, Jinghua (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, China.); Abhishek (Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India. Electronic address: abhishek@ce.iitr.ac.in.); Guo, Shenglian (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, China.); Kinouchi, Tsuyoshi (School of Environment and Society, Tokyo Institute of Technology, Yokohama, 226-8503, Japan.); Anjaneyulu, Roniki (Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.)",Abhishek (Indian Institute of Technology Roorkee),"Xiong, Jinghua (Wuhan University); Abhishek (Indian Institute of Technology Roorkee); Guo, Shenglian (Wuhan University); Kinouchi, Tsuyoshi (Tokyo Institute of Technology); Anjaneyulu, Roniki (Indian Institute of Technology Roorkee)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1167979357,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,15 Life on Land; 6 Clean Water and Sanitation
3865,pub.1168871212,10.1007/s11356-024-32426-7,38355859,,"Hydrogeochemical characterization, quality assessment, and potential nitrate health risk of shallow groundwater in Dongwen River Basin, North China","Assessing groundwater geochemical formation processes and pollution circumstances is significant for sustainable watershed management. In the present study, 58 shallow groundwater samples were taken from the Dongwen River Basin (DRB) to comprehensively assess the hydrochemical sources, groundwater quality status, and potential risks of NO3– to human health. Based on the Box and Whisker plot, the cation’s concentration followed the order of Ca2+  > Mg2+  > Na+  > K+, while anions’ mean levels were HCO3−  > SO42−  > NO3−  > Cl−. The NO3− level in groundwater samples fluctuated between 4.2 and 301.3 mg/L, with 67.2% of samples beyond the World Health Organization (WHO) criteria (50 mg/L) for drinking. The Piper diagram indicated the hydrochemical type of groundwater and surface water were characterized as Ca·Mg-HCO3 type. Combining ionic ratio analysis with principal component analysis (PCA) results, agricultural activities contributed a significant effect on groundwater NO3−, with soil nitrogen input and manure/sewage inputs also potential sources. However, geogenic processes (e.g., carbonates and evaporite dissolution/precipitation) controlled other ion compositions in the study area. The groundwater samples with higher NO3− values were mainly found in river valley regions with intense anthropogenic activities. The entropy weight water quality index (EWQI) model identified that the groundwater quality rank ranged from excellent (70.7%) and good (25.9%) to medium (3.4%). However, the hazard quotient (HQ) used in the human health risk assessment (HHRA) model showed that above 91.38% of groundwater samples have a NO3− non-carcinogenic health risk for infants, 84.48% for children, 82.76% for females, and 72.41% for males. The findings of this study could provide a scientific basis for the rational development and usage of groundwater resources as well as for the preservation of the inhabitants' health in DRB.",The authors are grateful to our colleagues and graduate students for their help in data collection and fieldwork. Special thanks to the editor and anonymous reviewers for their critical comments and valuable suggestions in the present form.,This study was supported by the National Key Research and Development Program of China (2020YFD0900703); the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX23_0737) and the Anhui Provincial Natural Science Foundation (2208085US09).,Environmental Science and Pollution Research,,,"Child; Male; Infant; Female; Humans; Environmental Monitoring; Nitrates; Rivers; Water Pollutants, Chemical; Water Quality; Groundwater; China; Risk Assessment",2024-02-15,2024,2024-02-15,2024-03,31,13,19363-19380,Closed,Article,"Wang, Shou; Chen, Jing; Zhang, Shuxuan; Bai, Yanjie; Zhang, Xiaoyan; Chen, Dan; Tong, Hao; Liu, Bingxiao; Hu, Jiahong","Wang, Shou (College of Agricultural Science and Engineering, Hohai University, No.8 Focheng West Road, 211100, Nanjing, Jiangsu, China); Chen, Jing (College of Agricultural Science and Engineering, Hohai University, No.8 Focheng West Road, 211100, Nanjing, Jiangsu, China); Zhang, Shuxuan (College of Agricultural Science and Engineering, Hohai University, No.8 Focheng West Road, 211100, Nanjing, Jiangsu, China); Bai, Yanjie (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, 210029, Nanjing, China); Zhang, Xiaoyan (College of Agricultural Science and Engineering, Hohai University, No.8 Focheng West Road, 211100, Nanjing, Jiangsu, China); Chen, Dan (College of Agricultural Science and Engineering, Hohai University, No.8 Focheng West Road, 211100, Nanjing, Jiangsu, China); Tong, Hao (College of Agricultural Science and Engineering, Hohai University, No.8 Focheng West Road, 211100, Nanjing, Jiangsu, China); Liu, Bingxiao (College of Agricultural Science and Engineering, Hohai University, No.8 Focheng West Road, 211100, Nanjing, Jiangsu, China); Hu, Jiahong (Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology of CAS, 050021, Shijiazhuang, Hebei, China)","Chen, Jing (Hohai University)","Wang, Shou (Hohai University); Chen, Jing (Hohai University); Zhang, Shuxuan (Hohai University); Bai, Yanjie (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering); Zhang, Xiaoyan (Hohai University); Chen, Dan (Hohai University); Tong, Hao (Hohai University); Liu, Bingxiao (Hohai University); Hu, Jiahong (Center for Agricultural Resources Research)",0,0,,,,https://app.dimensions.ai/details/publication/pub.1168871212,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4105 Pollution and Contamination,
3864,pub.1150234743,10.1016/j.scitotenv.2022.158065,35981597,,Using weighted expert judgement and nonlinear data analysis to improve Bayesian belief network models for riverine ecosystem services,"Rivers are a key part of the hydrological cycle and a vital conduit of water resources, but are under increasing threat from anthropogenic pressures. Linking pressures with ecosystem services is challenging because the processes interconnecting the physico-chemical, biological and socio-economic elements are usually captured using heterogenous methods. Our objectives were, firstly, to advance an existing proof-of-principle Bayesian belief network (BBN) model for integration of ecosystem services considerations into river management. We causally linked catchment stressors with ecosystem services using weighted evidence from an expert workshop (capturing confidence among expert groups), legislation and published literature. The BBN was calibrated with analyses of national monitoring data (including non-linear relationships and ecologically meaningful breakpoints) and expert judgement. We used a novel expected index of desirability to quantify the model outputs. Secondly, we applied the BBN to three case study catchments in Ireland to demonstrate the implications of changes in stressor levels for ecosystem services in different settings. Four out of the seven significant relationships in data analyses were non-linear, highlighting that non-linearity is common in ecosystems, but rarely considered in environmental modelling. Deficiency of riparian shading was identified as a prevalent and strong influence, which should be addressed to improve a broad range of societal benefits, particularly in the catchments where riparian shading is scarce. Sediment load had a lower influence on river biology in flashy rivers where it has less potential to settle out. Sediment interacted synergistically with organic matter and phosphate where these stressors were active; tackling these stressor pairs simultaneously can yield additional societal benefits compared to the sum of their individual influences, which highlights the value of integrated management. Our BBN model can be parametrised for other Irish catchments whereas elements of our approach, including the expected index of desirability, can be adapted globally.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments This project was funded under project 2018-W-LS-37 of the Environmental Protection Agency (EPA) Research Programme 2014-2020. The EPA Research Programme is a Government of Ireland initiative funded by the Department of Communications, Climate Action and Environment. It was administered by the Environment Protection Agency, which has the statutory function of coordinating and promoting environmental research. The authors gratefully acknowledge the significant contribution from the external experts who contributed to the work and joined the authors in the project workshops, and to the EPA staff who helped retrieve the data.",,The Science of The Total Environment,,,Bayes Theorem; Conservation of Natural Resources; Data Analysis; Ecosystem; Environmental Monitoring; Phosphates; Rivers,2022-08-15,2022,2022-08-15,2022-12,851,Pt 1,158065,All OA; Green,Article,"Penk, Marcin R; Bruen, Michael; Feld, Christian K; Piggott, Jeremy J; Christie, Michael; Bullock, Craig; Kelly-Quinn, Mary","Penk, Marcin R (Department of Zoology and Trinity Centre for the Environment, Trinity College Dublin, Dublin, Ireland; School of Biology and Environmental Science & UCD Earth Institute, University College Dublin, Dublin, Ireland. Electronic address: penkm@tcd.ie.); Bruen, Michael (Dooge Centre for Water Resources Research, School of Civil Engineering & UCD Earth Institute, University College Dublin, Dublin, Ireland.); Feld, Christian K (Faculty of Biology-Department of Aquatic Ecology and Centre for Water and Environmental Research, University of Duisburg-Essen, Essen, Germany.); Piggott, Jeremy J (School of Biology and Environmental Science & UCD Earth Institute, University College Dublin, Dublin, Ireland.); Christie, Michael (Aberystwyth Business School, Aberystwyth University, Aberystwyth, UK.); Bullock, Craig (School of Architecture, Planning and Environmental Policy, University College Dublin, Ireland.); Kelly-Quinn, Mary (Department of Zoology and Trinity Centre for the Environment, Trinity College Dublin, Dublin, Ireland.)","Penk, Marcin R (Trinity College Dublin; University College Dublin)","Penk, Marcin R (Trinity College Dublin; University College Dublin); Bruen, Michael (University College Dublin); Feld, Christian K (University of Duisburg-Essen); Piggott, Jeremy J (University College Dublin); Christie, Michael (Aberystwyth University); Bullock, Craig (University College Dublin); Kelly-Quinn, Mary (Trinity College Dublin)",1,1,,0.47,http://pure.aber.ac.uk/ws/files/52405892/1_s2.0_S0048969722051646_main.pdf,https://app.dimensions.ai/details/publication/pub.1150234743,38 Economics; 41 Environmental Sciences; 4104 Environmental Management,
3859,pub.1114000608,10.1371/journal.pone.0214986,31067256,PMC6505747,"River metrics by the public, for the public","Managing rivers in society's best interest requires data on river condition. However, the complexity of river ecosystems, combined with finite budgets for river monitoring and modeling, mean difficult choices are necessary regarding what information will be available. Typically, decisions of ""what to measure"" are left to natural scientists. However, knowledge of public appetite for different types of information helps ensure river data is useful to society. We investigated public interest in rivers directly, engaging nearly one hundred urban and rural participants in a combination of focus groups and semi-structured interviews. Drawing on concepts of ""final"" ecosystem services developed in environmental economics, we moved discussions past commonly mentioned stressors, such as pollution, to actual river features important in and of themselves. Participant feedback reflected extensive thought on river issues, in contrast to a stereotype that the public is ambivalent about environmental conditions. Interests were also broad, encompassing water quality and quantity, fish and wildlife, vegetation, and human features. Results show consolidation around relatively few themes despite diverse sociodemographics. Themes were interpreted into distilled, specific metrics to make public feedback as useful as possible for water resources monitoring, modeling, and management. Our research provides detailed, methodically generated hypotheses regarding river themes and metrics of public interest that should be considered as part of the tradeoffs inherent in river monitoring design. Results compared reasonably well to river attributes emphasized in river restoration environmental valuation reviews, with some differences. Future research could test our hypotheses with large-sample surveys.","Funded by United States Environmental Protection Agency. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to thank David Morgan, Kirsten Winters, Editor Miguel Cañedo-Argüelles Iglesias, anonymous reviewers, and ecosystem services co-panelists of the Joint Aquatic Sciences Meeting, 2014, for useful comments and suggestions. The lead author would like to thank the US Environmental Protection Agency, Office of Research and Development, for postdoctoral support (Western Ecology Division, and National Risk Management Research Laboratory). Thanks to the The Henne Group (Contract EP-G12D-00336) for participant recruitment and scheduling. Finally, we extend gratitude to the numerous human subjects whose cooperation made this research possible.","Funded by United States Environmental Protection Agency. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PLOS ONE,,Miguel Cañedo-Argüelles Iglesias,Adolescent; Adult; Animals; Biota; Conservation of Natural Resources; Ecosystem; Environmental Monitoring; Female; Fishes; Focus Groups; Humans; Male; Middle Aged; Rivers; Water Quality; Young Adult,2019-05-08,2019,2019-05-08,,14,5,e0214986,All OA; Gold,Article,"Weber, Matthew A.; Ringold, Paul L.","Weber, Matthew A. (University of Maryland, Center for Environmental Science, Solomons, Maryland, United States of America); Ringold, Paul L. (U.S. Environmental Protection Agency, Office of Research and Development, Western Ecology Division, Corvallis, Oregon, United States of America)","Weber, Matthew A. (University of Maryland Center for Environmental Sciences)","Weber, Matthew A. (University of Maryland Center for Environmental Sciences); Ringold, Paul L. (Environmental Protection Agency)",12,3,0.46,1.99,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0214986&type=printable,https://app.dimensions.ai/details/publication/pub.1114000608,41 Environmental Sciences; 4104 Environmental Management,
3855,pub.1110805537,10.1016/j.jenvman.2018.12.040,30583100,,"Baseflow estimation for catchments in the Loess Plateau, China","Baseflow is the portion of streamflow that originates from groundwater. It is pivotal to groundwater supply as well as the interactions between groundwater and surface water. In the Loess Plateau of China, the baseflow plays a fundamental role in sustaining the aquatic ecosystem. Rational estimation of baseflow is of critical importance for understanding the functioning of the groundwater system and informing management of regional water resources. In this study, a two-well parameterised digital filter was used to separate baseflow from observed daily total streamflow on the Weihe River Basin. Two parameters (maximum baseflow index (BFImax) and the recession constant) of this filter were estimated using UKIH and a recession analysis with physical meaning, respectively. The results show that the baseflow index increased from the upstream to downstream (0.27-0.32) of the Weihe River, and the baseflow of the river is summer dominant. In general, the baseflow has been increasing gradually owing to the implementation of soil conservation measures. This study provides an understanding of baseflow response to seasonal variability and water environmental management in basin scale.","This work was support by National Natural Science Foundation of China (Grant No. 51679200), Postdoctoral Funding of China (Grant No. 2018M642692), Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20136101110001). The Hundred Talents Project of the Chinese Academy of Sciences (Grant No. A315021406). National key R D program on monitoring, early warning and prevention of major natural disasters (2017YFC1502506). We thank two anonymous reviewers and the associate editor for their thoughtful comments and suggestions.",,Journal of Environmental Management,,,China; Ecosystem; Environmental Monitoring; Rivers; Water Movements,2018-12-21,2018,2018-12-21,2019-03,233,,264-270,Closed,Article,"Zhang, Junlong; Song, Jinxi; Cheng, Lei; Zheng, Hongxing; Wang, Yetang; Huai, Baojuan; Sun, Weijun; Qi, Shanzhong; Zhao, Panpan; Wang, Yuqi; Li, Qi","Zhang, Junlong (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China); Song, Jinxi (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling, 712100, China); Cheng, Lei (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072, China; Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan, 430072, China); Zheng, Hongxing (CSIRO Land and Water, GPO Box 1666, ACTON 2601, Canberra, Australia); Wang, Yetang (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China); Huai, Baojuan (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China); Sun, Weijun (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China); Qi, Shanzhong (College of Geography and Environment, Shandong Normal University, Jinan, 250358, China); Zhao, Panpan (Institute of Water Conservancy, North China University of Water Resource and Electric Power, Zhengzhou, 450045, China); Wang, Yuqi (Fenner School of Environmental and Society, Australian National University, Canberra, ACT 2601, Australia); Li, Qi (Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China)","Song, Jinxi (Northwest University; Institute of Soil and Water Conservation); Li, Qi (Northwest University)","Zhang, Junlong (Shandong Normal University); Song, Jinxi (Northwest University; Institute of Soil and Water Conservation); Cheng, Lei (Wuhan University; Wuhan University); Zheng, Hongxing (CSIRO Land and Water); Wang, Yetang (Shandong Normal University); Huai, Baojuan (Shandong Normal University); Sun, Weijun (Shandong Normal University); Qi, Shanzhong (Shandong Normal University); Zhao, Panpan (North University of China); Wang, Yuqi (Australian National University); Li, Qi (Northwest University)",26,15,0.34,3.84,,https://app.dimensions.ai/details/publication/pub.1110805537,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
3853,pub.1163339184,10.1007/s10661-023-11649-0,37589780,,"Rainfall-Runoff modelling using SWAT and eight artificial intelligence models in the Murredu Watershed, India","The growing concerns surrounding water supply, driven by factors such as population growth and industrialization, have highlighted the need for accurate estimation of streamflow at the river basin level. To achieve this, rainfall-runoff models are widely employed as valuable tools in watershed management. For this specific study, two modelling approaches were employed: the Soil and Water Assessment Tool (SWAT) model and a set of eight artificial intelligence (AI) models. The AI models consisted of seven data-driven approaches, namely k-nearest neighbour regression, support vector regression, linear regression, artificial neural networks, random forest regression, XGBoost, and Histogram-based Gradient Boost regression. Additionally, a deep learning model known as Long Short-Term Memory (LSTM) was also utilized. The study focused on monthly streamflow modelling in the Murredu River basin, with a calibration period from 1999 to 2003 and a validation period from 2004 to 2005, spanning a total of 7 years from 1999 to 2005. The results indicated that all nine models were generally suitable for simulating the rainfall-runoff process, with the LSTM model demonstrating exceptional performance in both the calibration (R2 is 0.97 and NSE is 0.96) and validation (R2 is 0.97 and NSE is 0.92) periods. Its high coefficient of determination (R2) and Nash–Sutcliffe efficiency (NSE) values indicated its superior ability to accurately model the rainfall-runoff relationship. While the other models also produced satisfactory results, the findings suggest that selecting the most efficient model, such as the LSTM model, could significantly contribute to the effective management and planning of sustainable water resources in the Murredu watershed.","The authors would like to thank the anonymous reviewers for their valuable comments and suggestions, which helped to improve the quality of this paper; the Central Water Commission of India for providing stage-discharge data; and the USGS for making the satellite data available. Thank you to the Indian Meteorological Department for providing rainfall data and temperature data. We would especially like to thank NASA Power for providing the wind speed, relative humidity, and solar data.",,Environmental Monitoring and Assessment,,,Artificial Intelligence; Environmental Monitoring; India; Soil; Water,2023-08-17,2023,2023-08-17,2023-09,195,9,1041,Closed,Article,"Shekar, Padala Raja; Mathew, Aneesh; S., Arun P.; Gopi, Varun P.","Shekar, Padala Raja (Department of Civil Engineering, National Institute of Technology, 620015, Tiruchirappalli, Tamil Nadu, India); Mathew, Aneesh (Department of Civil Engineering, National Institute of Technology, 620015, Tiruchirappalli, Tamil Nadu, India); S., Arun P. (Department of Electronics and Communication Engineering, National Institute of Technology, 620015, Tiruchirappalli, Tamil Nadu, India); Gopi, Varun P. (Department of Electronics and Communication Engineering, National Institute of Technology, 620015, Tiruchirappalli, Tamil Nadu, India)","Mathew, Aneesh (National Institute of Technology Tiruchirappalli)","Shekar, Padala Raja (National Institute of Technology Tiruchirappalli); Mathew, Aneesh (National Institute of Technology Tiruchirappalli); S., Arun P. (National Institute of Technology Tiruchirappalli); Gopi, Varun P. (National Institute of Technology Tiruchirappalli)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1163339184,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,
3850,pub.1145662489,10.1007/s11356-022-19175-1,35175529,,"Coexistence of antibiotic resistance genes, fecal bacteria, and potential pathogens in anthropogenically impacted water","Microbial indicators are often used to monitor microbial safety of aquatic environments. However, information regarding the correlation between microbial indicators and ecotoxicological factors such as potential pathogens and antibiotic resistance genes (ARGs) in anthropogenically impacted waters remains highly limited. Here, we investigated the bacterial community composition, potential pathogens, ARGs diversity, ARG hosts, and horizontal gene transfer (HGT) potential in urban river and wastewater samples from Chaohu Lake Basin using 16S rRNA and metagenomic sequencing. The composition of the microbial community and potential pathogens differed significantly in wastewater and river water samples, and the total relative abundance of fecal indicator bacteria was positively correlated with the total relative abundance of potential pathogens (p < 0.001 and Pearson’s r = 0.758). Network analysis indicated that partial ARG subtypes such as dfrE, sul2, and PmrE were significantly correlated with indicator bacteria (p < 0.05 and Pearson’s r > 0.6). Notably, Klebsiella was the indicator bacteria significantly correlated with 4 potential pathogens and 14 ARG subtypes. ARGs coexisting with mobile gene elements were mainly found in Thauera, Pseudomonas, Escherichia, and Acinetobacter. Next-generation sequencing (NGS) can be used to conduct preliminary surveys of environmental samples to access potential health risks, thereby facilitating water resources management.",We thank the University Synergy Innovation Program of Anhui Province for supporting the high-throughput sequencing. The collection of the experimental samples was supported by Integration and Demonstration of Quality and Safety Control Technology for Green Ecological Livestock and Poultry Products Industry Chain. We thank International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript.,This study was supported by the University Synergy Innovation Program of Anhui Province (Grant No. GXXT-2019-035) and Integration and Demonstration of Quality and Safety Control Technology for Green Ecological Livestock and Poultry Products Industry Chain (1604a0702033).,Environmental Science and Pollution Research,,,"Anti-Bacterial Agents; Bacteria; Drug Resistance, Microbial; Genes, Bacterial; RNA, Ribosomal, 16S; Wastewater; Water",2022-02-17,2022,2022-02-17,2022-07,29,31,46977-46990,Closed,Article,"Zhao, Xiang-Long; Qi, Zhao; Huang, Hao; Tu, Jian; Song, Xiang-Jun; Qi, Ke-Zong; Shao, Ying","Zhao, Xiang-Long (Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, 230036, Hefei, People’s Republic of China); Qi, Zhao (School of Information and Computer, Anhui Agricultural University, 230036, Hefei, People’s Republic of China); Huang, Hao (Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, 230036, Hefei, People’s Republic of China); Tu, Jian (Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, 230036, Hefei, People’s Republic of China); Song, Xiang-Jun (Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, 230036, Hefei, People’s Republic of China); Qi, Ke-Zong (Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, 230036, Hefei, People’s Republic of China); Shao, Ying (Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, 230036, Hefei, People’s Republic of China)","Qi, Ke-Zong (Anhui Agricultural University); Shao, Ying (Anhui Agricultural University)","Zhao, Xiang-Long (Anhui Agricultural University); Qi, Zhao (Anhui Agricultural University); Huang, Hao (Anhui Agricultural University); Tu, Jian (Anhui Agricultural University); Song, Xiang-Jun (Anhui Agricultural University); Qi, Ke-Zong (Anhui Agricultural University); Shao, Ying (Anhui Agricultural University)",6,6,0.58,2.4,,https://app.dimensions.ai/details/publication/pub.1145662489,31 Biological Sciences; 3107 Microbiology; 41 Environmental Sciences; 4105 Pollution and Contamination,6 Clean Water and Sanitation
3848,pub.1136501398,10.1016/j.envres.2021.111051,33753075,,"Impact of the COVID-19 lockdown period on surface water quality in the Meriç-Ergene River Basin, Northwest Turkey","The surface water resources in the Meriç-Ergene River Basin, especially Ergene River and Çorlu Stream are among the most polluted rivers in Turkey. Despite the action plans for prevention and control of surface water pollution in the basin, the desired results have not been achieved. However, the implementation of a nationwide lockdown due to the COVID-19 might probably lead to an improvement in the surface water quality. We evaluated the impact of the lockdown on water quality by measuring the levels of physico-chemical variables and metal(loid)s in water samples taken from 25 sampling stations in the basin. BOD, COD, EC, turbidity, TSS and Mn levels did not show significant differences between the pre-lockdown and lockdown periods due to the ongoing domestic wastewater discharges and agricultural activities in the basin during the lockdown period. However, Cr, Ni, Zn, Cu, As, Pb and Cd concentrations decreased considerably during the lockdown. Similarly, heavy metal pollution index and heavy metal evaluation index values showed a significant improvement in water quality of almost all stations during the lockdown period. Also, total hazard index values for children and adults reduced by 67% and 69%, respectively during the lockdown period, while total carcinogenic risk values for As and Cr reduced by 60% and 94%, respectively. The limited operational status of most industrial facilities in the basin during the lockdown reduced the amount of industrial effluents, leading to significant improvement in surface water quality for metal(loid)s. The lockdown has shown that the solution for preservation and sustainability of natural water resources lies in our hands, and the efficient management of pollution sources can prevent surface water pollution at a very rapid pace. Finally, we suggest that water management policy needs to be improved and implemented.",This study was supported by the Commission of Scientific Research Projects of Trakya University (2019/279). Our special thanks go to the editors Jose L. Domingo and Avelino Nunez Delgado and anonymous reviewers for their constructive comments and suggestions for improving this manuscript. We would also like to thank İbrahim Tünik for his contribution to the revision of English of the manuscript.,,Environmental Research,,,"Adult; COVID-19; Child; Communicable Disease Control; Environmental Monitoring; Humans; Metals, Heavy; Rivers; SARS-CoV-2; Turkey; Water Pollutants, Chemical; Water Quality",2021-03-19,2021,2021-03-19,2021-06,197,,111051,All OA; Bronze,Article,"Tokatlı, Cem; Varol, Memet","Tokatlı, Cem (Trakya University, Laboratory Technology Department, İpsala, Edirne, Turkey.); Varol, Memet (Malatya Turgut Özal University, Doğanşehir Vahap Küçük Vocational School, Department of Aquaculture, Malatya, Turkey. Electronic address: mvarol23@gmail.com.)","Varol, Memet (Malatya Turgut Özal Üniversitesi)","Tokatlı, Cem (Trakya University); Varol, Memet (Malatya Turgut Özal Üniversitesi)",84,69,7.28,17.95,https://doi.org/10.1016/j.envres.2021.111051,https://app.dimensions.ai/details/publication/pub.1136501398,41 Environmental Sciences; 4105 Pollution and Contamination,6 Clean Water and Sanitation
3847,pub.1125662573,10.1007/s11356-020-08189-2,32172415,,Water pollution characteristics and analysis of Chaohu Lake basin by using different assessment methods,"In the context of the water environmental protection and local economic sustainable growth, it is of great importance to conduct a comprehensive water quality assessment in Chaohu Lake basin. In this study, dissolved oxygen (DO), permanganate index (CODMn), 5-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH3-N), total nitrogen (TN), and total phosphorus (TP) were investigated monthly at 24 sampling sites in Chaohu Lake basin during 2015 to 2017. Five methods were used to evaluate water quality and identify dominant pollutants. Results showed that the dominant pollutants in Chaohu Lake were TN (4.17~11.61 mg L−1) and TP (0.27~0.75 mg L−1). The upstream of Chaohu Lake was influenced by Nanfei River, Shiwuli River, and Paihe River, and water quality of the upstream (eutrophic) was worse than that of the downstream (mesotrophic) part of Chaohu Lake. Comprehensive Water Quality Identification Index Method (CWQII) can better assess the water quality compared with the other methods by providing qualitative and quantitative analysis. The index values assessed by CWQII method for Nanfei River, Shiwuli River, and Paihe River were 5.819, 5.986, and 5.141, respectively, and water quality were all assessed as grade V. Overall, water quality of Chaohu Lake has been slightly improved during 2015~2017, but water quality of western inflowing rivers was still heavily polluted. These findings provide valuable information and guidance for water pollution control and water resource management in Chaohu Lake basin. Several feasible measures are proposed.",The authors express a great gratitude to the anonymous reviewers for their constructive comments and suggestions sincerely. We are also thankful to the Environmental Protection Monitoring Station of Chaohu Authority for the data provided for Chaohu Lake basin.,,Environmental Science and Pollution Research,,,"China; Environmental Monitoring; Lakes; Nitrogen; Phosphorus; Rivers; Water Pollutants, Chemical; Water Pollution; Water Quality",2020-03-14,2020,2020-03-14,2020-05,27,15,18168-18181,Closed,Article,"Yang, Xiong; Cui, Hongbiao; Liu, Xiaosheng; Wu, Qiugang; Zhang, Hui","Yang, Xiong (School of Earth and Environment, Anhui University of Science and Technology, 232001, Huainan, China); Cui, Hongbiao (School of Earth and Environment, Anhui University of Science and Technology, 232001, Huainan, China; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy Sciences, 210008, Nanjing, China); Liu, Xiaosheng (School of Earth and Environment, Anhui University of Science and Technology, 232001, Huainan, China); Wu, Qiugang (School of Earth and Environment, Anhui University of Science and Technology, 232001, Huainan, China); Zhang, Hui (Environmental Protection Monitoring Station of Chaohu Authority, 238000, Chaohu, China)","Cui, Hongbiao (Anhui University of Science and Technology; Institute of Soil Science)","Yang, Xiong (Anhui University of Science and Technology); Cui, Hongbiao (Anhui University of Science and Technology; Institute of Soil Science); Liu, Xiaosheng (Anhui University of Science and Technology); Wu, Qiugang (Anhui University of Science and Technology); Zhang, Hui (Environmental Protection Monitoring Station of Chaohu Authority, 238000, Chaohu, China)",34,27,2.76,3.95,,https://app.dimensions.ai/details/publication/pub.1125662573,40 Engineering; 4011 Environmental Engineering,
3846,pub.1164170200,10.1016/j.scitotenv.2023.167212,37730050,,Monitoring long-term vegetation condition dynamics in persistent semi-arid wetland communities using time series of Landsat data,"Wetlands in arid and semi-arid regions are characterized by dry- and wet-phase vegetation expression which responds to variable water resources. Monitoring condition trends in these wetlands is challenging because transitions may be rapid and short-lived, and identification of meaningful condition change requires longitudinal study. Remotely-sensed data provide cost effective, multi-decadal information with sufficient temporal and spatial scale to explore wetland condition. In this study, we used a time series of Enhanced Vegetation Index (EVI) derived from 34 years (1988-2021) of Landsat imagery, to investigate the long-term condition dynamics of six broad vegetation groups (communities) in a large floodplain wetland system, the Macquarie Marshes in Australia. These communities were persistently mapped as River Red Gum wetland, Black Box/Coolibah woodland, Lignum shrubland, Semi-permanent wetland, Terrestrial grassland and Terrestrial woodland. We used generalized additive models (GAM) to explore the response of vegetation to seasonality, river flow and climatic conditions. We found that EVI was a useful metric to monitor both wetland condition and response to climatic and hydrological drivers. Wetland communities were particularly responsive to river flow and seasonality, while terrestrial communities were responsive to climate and seasonality. Our results indicate asymptotic condition responses, and therefore evidence of hydrological thresholds, by some wetland communities to river flows. We did not observe a long-term trend of declining condition although an apparent increase in condition variability towards the end of the time series requires continued monitoring. Our remotely-sensed, landscape-scale monitoring approach merits further ground validation. We discuss how it can be used to provide a management tool which continuously assesses short and long-term wetland condition and informs conservation decisions about water management for environmental flows.","Declaration of competing interest We confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. We further confirm that the order of authors listed in the manuscript has been approved by all of us. Acknowledgements We acknowledge and pay respect to the traditional owners, and their Nations, of the Murray–Darling Basin, who have a deep cultural, social, environmental, spiritual and economic connection to their lands and waters. We acknowledge the Ngemba–Wailwan peoples – the traditional owners of the land on which this study was conducted. We thank Tim Hosking and Michael Hughes respectively for management insights and assistance with study conceptualisation. We also thank three anonymous reviewers for their valuable comments and suggestions on the final version of this manuscript. This project is part of the NSW Department of Planning and Environment&#x27;s Environmental Water Management Program.",,The Science of The Total Environment,,,,2023-09-18,2023,2023-09-18,2023-12,905,,167212,Closed,Article,"Wen, Li; Mason, Tanya J; Ryan, Shawn; Ling, Joanne E; Saintilan, Neil; Rodriguez, Jose","Wen, Li (Science, Economics and Insights Division, NSW Department of Planning and Environment, Lidcombe, NSW 2141, Australia. Electronic address: Li.Wen@environment.nsw.gov.au.); Mason, Tanya J (Science, Economics and Insights Division, NSW Department of Planning and Environment, Lidcombe, NSW 2141, Australia; Centre for Ecosystem Science, UNSW Sydney, Sydney, NSW 2052, Australia.); Ryan, Shawn (Science, Economics and Insights Division, NSW Department of Planning and Environment, Lidcombe, NSW 2141, Australia.); Ling, Joanne E (Science, Economics and Insights Division, NSW Department of Planning and Environment, Lidcombe, NSW 2141, Australia.); Saintilan, Neil (School of Natural Sciences, Macquarie University, Macquarie Park, NSW 2109, Australia.); Rodriguez, Jose (School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia.)","Wen, Li (New South Wales Department of Planning and Environment)","Wen, Li (New South Wales Department of Planning and Environment); Mason, Tanya J (New South Wales Department of Planning and Environment; UNSW Sydney); Ryan, Shawn (New South Wales Department of Planning and Environment); Ling, Joanne E (New South Wales Department of Planning and Environment); Saintilan, Neil (Macquarie University); Rodriguez, Jose (University of Newcastle Australia)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1164170200,37 Earth Sciences; 41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation,
3844,pub.1145368406,10.1016/j.jenvman.2022.114651,35151138,,Land Use and Cover Changes versus climate shift: Who is the main player in river discharge? A case study in the Upper Paraná River Basin,"Assessing the relative contribution of Land Use and Cover Changes (LUCC) and climate changes on runoff still represents a great challenge for water resources management. This issue is particularly critical for the Upper Paraná River Basin (UPRB), one of the most important basins in South America and responsible for most of the production of food, ethanol, and electricity generation in Brazil. In this paper, we used the Soil and Water Assessment Tool (SWAT) to quantitatively assess the relative contribution of both forcings. The simulation period included a time of great importance for climate studies, known as the 1970s global climate shift, and of great impact on river discharge within the UPRB. Three land use and cover scenarios were assigned to the 1961-1990 period of simulations, representing land use and cover during a pristine period (around the Year 1500), 1960, and 1985. Thirteen years of precipitation before and after the climate shift (considered to be the period 1974-1977) were analyzed and compared. Results showed a precipitation increase for the basin in general after the climate shift. The increase in rainfall reached up to 15% in many northern areas and more than 20% in the southern parts of the basin. By comparing all simulations, results indicate that both LUCC and precipitation increase due to the climate shift had a significant effect on the changes in annual discharge of the largest rivers of the UPRB. However, the results suggest that the impact of the precipitation increase on the discharge exceeded that of the LUCC. Between 1960 and 1985 the LUCC accounts for about 16% of the increase of the median annual discharge, whereas climate shift accounts for an increase of about 32%. These findings, suggesting a more relevant role for the climate, are consistent with two recent water crisis experienced by the country in the last decades, caused by prolonged below-normal rainfall throughout 2001/2002 and again in 2014/2015.",This study was financed in part by the “Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil” (CAPES) - Finance Code 001 (Process # 88887.115875/2015–01) and “Fundação de Amparo à Pesquisa do Estado de São Paulo” FAPESP (process #2015/03804–9). The authors would like to gratefully acknowledge “Agência Nacional de Águas” (ANA) for providing the precipitation and discharge data.,,Journal of Environmental Management,,,Brazil; Climate Change; Environmental Monitoring; Rivers; Soil,2022-02-09,2022,2022-02-09,2022-05,309,,114651,All OA; Hybrid,Article,"Abou Rafee, Sameh A; Uvo, Cintia B; Martins, Jorge A; Machado, Carolyne B; Freitas, Edmilson D","Abou Rafee, Sameh A (Division of Water Resources Engineering, Lund University, Lund, Sweden; Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil; Federal University of Itajubá, Itajubá, Brazil. Electronic address: sameh.adib@iag.usp.br.); Uvo, Cintia B (Division of Water Resources Engineering, Lund University, Lund, Sweden.); Martins, Jorge A (Federal University of Technology - Paraná, Londrina, Brazil.); Machado, Carolyne B (Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil.); Freitas, Edmilson D (Department of Atmospheric Sciences, University of São Paulo, São Paulo, Brazil.)","Abou Rafee, Sameh A (Lund University; Universidade de São Paulo; Federal University of Itajubá)","Abou Rafee, Sameh A (Lund University; Universidade de São Paulo; Federal University of Itajubá); Uvo, Cintia B (Lund University); Martins, Jorge A (Federal University of Technology – Paraná); Machado, Carolyne B (Universidade de São Paulo); Freitas, Edmilson D (Universidade de São Paulo)",12,12,1.16,5.74,https://doi.org/10.1016/j.jenvman.2022.114651,https://app.dimensions.ai/details/publication/pub.1145368406,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 15 Life on Land
3843,pub.1154682644,10.1007/s11356-023-25248-6,36656473,,"Multiscale ecosystem service synergies/trade-offs and their driving mechanisms in the Han River Basin, China: implications for watershed management","Abstract
The synergies and trade-offs between ecosystem services (ESs) and their driving mechanisms are hot topics in ecology and geography research. In recent years, the Han River Basin (HRB) has been continuously impacted by high-intensity urban sprawl and the Middle Route of the South-to-North Water Diversion Project, which have posed severe threats to the ecology and regional stability along the route. It is thus critical to study the ES synergies/trade-offs and their driving mechanisms. Based on the InVEST model and the value coefficient method, four vital types of ESs in the HRB, i.e., carbon sequestration (CS), food supply (FS), net primary productivity (NPP), and water yield (WY), were evaluated at town, county, and sub-watershed scales. Then, the Pearson correlation analysis was adopted to quantify the interrelationship among different ESs. Finally, the ordinary least squares (OLS) and geographical detector model (GDM) were applied to reveal the driving mechanisms of the ES synergies/trade-offs. The results showed that (1) apart from NPP, which increased at a rate of 7.54 gC·m−2·a−1 during 2000–2018, the other three types of ESs in the HRB deteriorated, with WY almost halving. (2) While CS, FS, and WY tended to exhibit high synergistic relationships, NPP showed mostly trade-off relationships, and the evaluation scale did not affect those main relationships. (3) Precipitation is the strongest driving force for the ES synergies/trade-offs in the HRB, and natural factors are generally more influential than socioeconomic factors on the ES synergies/trade-offs. This study warns of the deteriorating ecological condition of the HRB and provides empirical evidence for the synergistic enhancement of regional ESs and the optimization of ecological management policies.",,This work was supported by the National Natural Science Foundation of China (Grant No. 41901213) and the Natural Science Foundation of Hubei Province (Grant No. 2020CFB856).,Environmental Science and Pollution Research,,,Ecosystem; Conservation of Natural Resources; Rivers; China; Carbon Sequestration,2023-01-19,2023,2023-01-19,2023-03,30,15,43440-43454,Closed,Article,"Zhang, Bowen; Zheng, Liang; Wang, Ying; Li, Na; Li, Jiangfeng; Yang, Hui; Bi, Yuzhe","Zhang, Bowen (School of Public Administration, China University of Geosciences, 430074, Wuhan, China; The Key Laboratory of the Ministry of Natural Resources for Legal Research, 430074, Wuhan, China); Zheng, Liang (Changjiang Institute of Survey, Planning, Design and Research, 430074, Wuhan, China; The Key Laboratory of Changjiang Regulation and Protection of Ministry of Water Resource, 430074, Wuhan, China; The Key Laboratory of Water Network Engineering and Dispatching of Ministry of Water Resource, 430074, Wuhan, China); Wang, Ying (School of Public Administration, China University of Geosciences, 430074, Wuhan, China); Li, Na (Wuhan Natural Resources Conservation and Utilization Center, 430014, Wuhan, China); Li, Jiangfeng (School of Public Administration, China University of Geosciences, 430074, Wuhan, China); Yang, Hui (School of Public Administration, China University of Geosciences, 430074, Wuhan, China; The Key Laboratory of the Ministry of Natural Resources for Legal Research, 430074, Wuhan, China); Bi, Yuzhe (School of Public Administration, China University of Geosciences, 430074, Wuhan, China; The Key Laboratory of the Ministry of Natural Resources for Legal Research, 430074, Wuhan, China)","Wang, Ying (China University of Geosciences)","Zhang, Bowen (China University of Geosciences; The Key Laboratory of the Ministry of Natural Resources for Legal Research, 430074, Wuhan, China); Zheng, Liang (Changjiang Institute of Survey, Planning, Design and Research; The Key Laboratory of Changjiang Regulation and Protection of Ministry of Water Resource, 430074, Wuhan, China; The Key Laboratory of Water Network Engineering and Dispatching of Ministry of Water Resource, 430074, Wuhan, China); Wang, Ying (China University of Geosciences); Li, Na (Wuhan Natural Resources Conservation and Utilization Center, 430014, Wuhan, China); Li, Jiangfeng (China University of Geosciences); Yang, Hui (China University of Geosciences; The Key Laboratory of the Ministry of Natural Resources for Legal Research, 430074, Wuhan, China); Bi, Yuzhe (China University of Geosciences; The Key Laboratory of the Ministry of Natural Resources for Legal Research, 430074, Wuhan, China)",7,7,,,,https://app.dimensions.ai/details/publication/pub.1154682644,37 Earth Sciences; 3704 Geoinformatics,15 Life on Land
3841,pub.1140698667,10.1007/s10661-021-09357-8,34448956,,"Water quality modeling and management for Rosetta Branch, the Nile River, Egypt","Rosetta Branch (RB) is the Nile western branch, which is considered the main freshwater resource for the western governorates of the Nile Delta, in addition to El-Beheira governorate, Egypt. This work aims to investigate the effectiveness of applying six feasible water quality management scenarios for the RB at Kafr Elzayat (KZ) City, where two major pollution sources (industrial companies and the Tala Drain) are discharging their effluents to the branch. A hydro-ecological model for the branch was developed based on MIKE 11 modeling system (3 modules). The developed model was calibrated using field hydrodynamic and water quality records for the branch during the period from November 2014 to August 2015. The calibrated model results were considered a base case for the simulated management scenarios. According to the study results, diverting the Tala Drain effluents to the nearest main drain will significantly enhance the branch water quality, while diverting of the industrial companies’ effluents to the city sewer system will significantly enhance the water quality conditions downstream of the study. The expected scenario of decreasing the RB discharge, due to future climatic changes and/or construction of the new Ethiopian dams, will significantly affect the RB water quality status in a negative way. Urgent management plans, based on the presented scenarios results (or a combination of them), should be applied to enhance the branch water quality. The Tala Drain should be, at least, provided by a water quality treatment plant, and the branch freshwater discharge should be increased.","This research was originated as part of a M.Sc. work for the first author at the Faculty of Engineering, Tanta University, Egypt. Providing the field data for this modeling study by the Department of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta University, Egypt, was greatly appreciated. The authors extremely thank the reviewers for their hard work to improve the quality of this article.",,Environmental Monitoring and Assessment,,,Egypt; Environmental Monitoring; Fresh Water; Rivers; Water Quality,2021-08-27,2021,2021-08-27,2021-09,193,9,603,Closed,Article,"Nada, A.; Zeidan, B.; Hassan, A. A.; Elshemy, M.","Nada, A. (Faculty of Engineering, Tanta University, Tanta, Egypt); Zeidan, B. (Faculty of Engineering, Tanta University, Tanta, Egypt); Hassan, A. A. (Faculty of Engineering, Ain Shams University, Cairo, Egypt); Elshemy, M. (Faculty of Engineering, Tanta University, Tanta, Egypt; Faculty of Engineering, Al-Baha University, Al-Baha, Saudi Arabia)","Elshemy, M. (Tanta University; Al Baha University)","Nada, A. (Tanta University); Zeidan, B. (Tanta University); Hassan, A. A. (Ain Shams University); Elshemy, M. (Tanta University; Al Baha University)",6,6,0.41,1.89,,https://app.dimensions.ai/details/publication/pub.1140698667,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,6 Clean Water and Sanitation
3840,pub.1160820127,10.1016/j.scitotenv.2023.165578,37478941,,Combining spectral analysis and geochemical tracers to investigate surface water–groundwater interactions: A case study in an intensive agricultural setting (southern Guatemala),"An increase in the frequency of severe hydrological events has highlighted the importance of sustainable water management in intensive agricultural regions. In a warming climate, improved understanding and stewardship of water resources are needed to guarantee water supply, ensure food security, and build resilience against extreme events. In this study, we evaluate a framework that combines spectral analysis and geochemical tracers as a potential tool for (1) gaining valuable insights into surface water (SW)-groundwater (GW) interactions, and (2) providing guidance for improved water management in an intensive agricultural basin in southern Guatemala. The framework proves to be useful in revealing important water dynamics, exposing key feedback mechanisms for water availability and quality. With the use of power density functions and hydrochemistry (T, pH, EC, and major ions), two specific interaction regimes (influent and effluent) were identified and delimited for the main watercourse. These segments are estimated to interact at high rates with the shallow aquifer in the river channel proximities and would lose influence towards the basin flanks. Furthermore, the δ2H and δ18O values indicate that regional groundwater flow systems play an essential role in the basin groundwater recharge. Lastly, we established three influence zones that depict the spatial extent of the SW-GW interactions within the basin. With these zones, we provide recommendations that will allow for further investigation and application into better water management strategies regulating groundwater development and land use activities within the agricultural context of the area.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements This research has been funded by the European Commission through the Joint Master&#x27;s Degree Programme on Groundwater and Global Change – Impacts and Adaptation (GroundwatCH). Fieldwork assistance and financing were supported by CERIS, Instituto Superior Técnico, Universidade de Lisboa, and by ICC Guatemala (Instituto Privado de Investigación sobre Cambio Climático). We are very thankful to Dr. Alex Guerra Noriega for his support. Special thanks to Dr. Jochen Wenninger and IHE Delft laboratory staff for their support analysing the water samples for environmental stable isotopes. Thanks to Ryan Smazal for his suggestions.",,The Science of The Total Environment,,,,2023-07-20,2023,2023-07-20,2023-11,899,,165578,All OA; Hybrid,Article,"Paíz, Ricardo; Low-Calle, Juan Francisco; Molina-Estrada, Amy Guicela; Gil-Villalba, Sergio; Condesso de Melo, Maria Teresa","Paíz, Ricardo (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal. Electronic address: rlmp23@gmail.com.); Low-Calle, Juan Francisco (Instituto Privado de Investigación sobre Cambio Climático, Santa Lucía Cotzumalguapa, Escuintla, Guatemala.); Molina-Estrada, Amy Guicela (Instituto Privado de Investigación sobre Cambio Climático, Santa Lucía Cotzumalguapa, Escuintla, Guatemala.); Gil-Villalba, Sergio (Instituto Privado de Investigación sobre Cambio Climático, Santa Lucía Cotzumalguapa, Escuintla, Guatemala.); Condesso de Melo, Maria Teresa (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal.)","Paíz, Ricardo (University of Lisbon)","Paíz, Ricardo (University of Lisbon); Low-Calle, Juan Francisco (Instituto Privado de Investigación sobre Cambio Climático, Santa Lucía Cotzumalguapa, Escuintla, Guatemala.); Molina-Estrada, Amy Guicela (Instituto Privado de Investigación sobre Cambio Climático, Santa Lucía Cotzumalguapa, Escuintla, Guatemala.); Gil-Villalba, Sergio (Instituto Privado de Investigación sobre Cambio Climático, Santa Lucía Cotzumalguapa, Escuintla, Guatemala.); Condesso de Melo, Maria Teresa (University of Lisbon)",2,2,,,https://doi.org/10.1016/j.scitotenv.2023.165578,https://app.dimensions.ai/details/publication/pub.1160820127,37 Earth Sciences; 3705 Geology; 3707 Hydrology,15 Life on Land; 2 Zero Hunger
3840,pub.1052713048,10.1073/pnas.1614342113,27930317,PMC5206523,Impact of the Syrian refugee crisis on land use and transboundary freshwater resources,"Since 2013, hundreds of thousands of refugees have migrated southward to Jordan to escape the Syrian civil war that began in mid-2011. Evaluating impacts of conflict and migration on land use and transboundary water resources in an active war zone remains a challenge. However, spatial and statistical analyses of satellite imagery for the recent period of Syrian refugee mass migration provide evidence of rapid changes in land use, water use, and water management in the Yarmouk-Jordan river watershed shared by Syria, Jordan, and Israel. Conflict and consequent migration caused ∼50% decreases in both irrigated agriculture in Syria and retention of winter rainfall in Syrian dams, which gave rise to unexpected additional stream flow to downstream Jordan during the refugee migration period. Comparing premigration and postmigration periods, Syrian abandonment of irrigated agriculture accounts for half of the stream flow increase, with the other half attributable to recovery from a severe drought. Despite this increase, the Yarmouk River flow into Jordan is still substantially below the volume that was expected by Jordan under the 1953, 1987, and 2001 bilateral agreements with Syria.","We thank Deepthi Rajsekhar for estimates of water import volumes. We also thank the Stanford Woods Institute for the Environment and the UPS Foundation for their support. Hydrological data were provided by Jordan’s Ministry of Water and Irrigation. Landsat data are distributed by the Land Processes Distributed Active Archive Center (LP DAAC), located at US Geological Survey (USGS)/Earth Resources Observation and Science (EROS) Center (lpdaac.usgs.gov), and were accessed and processed using Google Earth Engine. The ASTER GDEM data product was retrieved from the online Global Data Explorer tool, courtesy of the National Aeronautics and Space Administration LP DAAC, USGS/EROS Center (gdex.cr.usgs.gov/gdex/). VIIRS Day/Night Band Cloud Free Composites and DMSP-OLS Nighttime Lights version 4 were obtained courtesy of the Earth Observation Group, National Oceanic and Atmospheric Administration (NOAA) National Geophysical Data Center (ngdc.noaa.gov/eog/). PERSIANN monthly precipitation data were accessed on Google Earth Engine, courtesy of the Climate Data Record program of the NOAA. This work was supported by the National Science Foundation (NSF) under Grant GEO/OAD-1342869 (to Stanford University). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. Postdoctoral fellowship support was provided by the Swiss National Science Foundation.",,Proceedings of the National Academy of Sciences of the United States of America,,,Conservation of Natural Resources; Conservation of Water Resources; Ethnic Violence; Fresh Water; Health Resources; Israel; Jordan; Refugees; Satellite Imagery; Syria,2016-12-05,2016,2016-12-05,2016-12-27,113,52,14932-14937,All OA; Bronze,Article,"Müller, Marc François; Yoon, Jim; Gorelick, Steven M.; Avisse, Nicolas; Tilmant, Amaury","Müller, Marc François (Department of Earth System Science, Stanford University, Stanford, CA, 94305;; Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, Notre Dame, IN, 46556;); Yoon, Jim (Department of Earth System Science, Stanford University, Stanford, CA, 94305;); Gorelick, Steven M. (Department of Earth System Science, Stanford University, Stanford, CA, 94305;); Avisse, Nicolas (Department of Civil and Water Engineering, Université Laval, Quebec, QC, Canada, G1V 0A6); Tilmant, Amaury (Department of Civil and Water Engineering, Université Laval, Quebec, QC, Canada, G1V 0A6)","Müller, Marc François (Stanford University; University of Notre Dame)","Müller, Marc François (Stanford University; University of Notre Dame); Yoon, Jim (Stanford University); Gorelick, Steven M. (Stanford University); Avisse, Nicolas (Université Laval); Tilmant, Amaury (Université Laval)",91,30,0.52,19.24,https://www.pnas.org/content/pnas/113/52/14932.full.pdf,https://app.dimensions.ai/details/publication/pub.1052713048,37 Earth Sciences; 3707 Hydrology; 38 Economics; 3801 Applied Economics,"15 Life on Land; 16 Peace, Justice and Strong Institutions"
3838,pub.1027108266,10.1016/j.scitotenv.2014.01.081,24530585,,Evidence for sites of methylmercury formation in a flowing water system: Impact of anthropogenic barriers and water management,"The Truckee River, California-Nevada, USA is impacted by mercury (Hg) contamination associated with legacy gold mining. In this work, we investigated the potential for hot-spots of methylmercury (MeHg) formation in the river. Mercury concentrations in multiple media were also used to assess the impacts of anthropogenic barriers, restoration, and water management in this flowing water ecosystem. Water samples were collected on a seasonal time step over 3 years, and analyzed for total Hg (THg) and MeHg concentrations, along with a variety of other water quality parameters. In addition, we measured THg and MeHg in sediments, THg in macroinvertebrates, and THg and δ(15)N and δ(13)C concentrations in fish. Differences in stable isotopes and Hg concentrations in fish were applied to understand the mobility of fish in the river. Mercury concentrations of specific macroinvertebrate species were used to identify sites of MeHg production. In general, loads of Hg and nutrients in the river reach above the Reno-Sparks metropolitan area were similar to that reported for pristine systems, while within and below the city, water quality impacts were observed. Fish isotope data showed that in the city reach food resources were different than those upriver and downriver. Based on Hg and isotope data, mobility of the fish in the river is impacted by anthropogenic obstructions and water manipulation. Below the city, particle bound Hg, derived from the legacy mining, continues to be input to the Truckee River. This Hg is deposited in riparian habitats and areas of river restoration, where it is methylated and becomes available to biota. During spring, when flows were highest, MeHg produced and stored in the sediments is mobilized and transported downriver. Fish and macroinvertebrate concentrations increased downriver indicating passive uptake from water. The information presented here could be useful for those doing river restoration and water manipulation in mercury contaminated environments.","Lisa Heki, Project Leader, Lahontan National Fish Hatchery Complex, and U.S. Fish and Wildlife Service (USFWS) provided funding. We thank the USFWS and Nevada Division of Wildlife for collection of fish. We thank Dr. Mark Walker for participation on Claudia&#x27;s thesis committee, and the following individuals for their help: Casandra Woodward, Melissa Markee, Cody Weaver, Matthieu Miller, Musheng Aishahi, Rob Bolduc, Christiana Peterson, Travis Lyman, Vanessa Wehrkamp, Marianne Denton, Carlene Gonzales, and Moses Anabila.",,The Science of The Total Environment,,,"Animals; Aquatic Organisms; Ecosystem; Environmental Monitoring; Fishes; Food Chain; Methylmercury Compounds; Mining; Nevada; Rivers; Water Movements; Water Pollutants, Chemical",2014-02-12,2014,2014-02-12,2014-04,478,,58-69,Closed,Article,"Pizarro-Barraza, Claudia; Gustin, Mae Sexauer; Peacock, Mary; Miller, Matthieu","Pizarro-Barraza, Claudia (Department of Natural Resources and Environmental Sciences, University of Nevada-Reno, Reno, NV 89557, USA); Gustin, Mae Sexauer (Department of Natural Resources and Environmental Sciences, University of Nevada-Reno, Reno, NV 89557, USA); Peacock, Mary (Department of Biology, University of Nevada-Reno, Reno, NV 89557, USA); Miller, Matthieu (Department of Natural Resources and Environmental Sciences, University of Nevada-Reno, Reno, NV 89557, USA)","Gustin, Mae Sexauer (University of Nevada Reno)","Pizarro-Barraza, Claudia (University of Nevada Reno); Gustin, Mae Sexauer (University of Nevada Reno); Peacock, Mary (University of Nevada Reno); Miller, Matthieu (University of Nevada Reno)",6,0,0.14,0.49,,https://app.dimensions.ai/details/publication/pub.1027108266,41 Environmental Sciences; 4102 Ecological Applications; 4105 Pollution and Contamination,
3838,pub.1163247476,10.1007/s11356-023-29220-2,37572257,,"Modeling the effect of meteorological variables on streamflow estimation: application of data mining techniques in mixed rainfall–snowmelt regime Munzur River, Türkiye","Revealing the dynamic link between rainfall and runoff, which are the main components of the hydrological cycle, is significant for the planning and managing water resources, disaster risk management, and construction of water structures. This study used feed-forward neural network (FFNN), adaptive neuro-fuzzy inference system (ANFIS), and long short-term memory (LSTM) network to model the rainfall-runoff relationship. Various variations of lagged precipitation, temperature, relative humidity, and flows were presented as inputs, and the flow values of Munzur River were estimated as outputs. During the selection of input parameters, variables with high correlation to flow values were utilized. The model’s success was tested using several statistical indicators, including the coefficient of correlation (R), coefficient of determination (R2), and root mean square error (RMSE). When measuring values and model results are compared, FFNN and ANFIS models show accurate predictive results with high accuracy, while LSTM prediction results are not satisfactory. However, it was concluded that the FFNN model with the hyperbolic tangent sigmoid transfer function and Levenberg-Marquardt training algorithm made a slightly more accurate estimation. In addition, it was revealed that the best ANFIS-Sugeno model was obtained with a hybrid learning algorithm, Gaussmf membership function, and eight subsets. As a result of the analysis, it has been found that FFNN is superior to ANFIS in flow prediction. These results provide policymakers and planners with helpful information for developing flood and drought management strategies.","The author thanks the General Directorate of Meteorology and General Directorate for State Hydraulic Works for the data provided, the Editor, and the anonymous reviewers for their contributions to the content and development of this paper.",,Environmental Science and Pollution Research,,,"Fuzzy Logic; Rivers; Neural Networks, Computer; Algorithms; Floods",2023-08-12,2023,2023-08-12,2023-09,30,42,96312-96328,Closed,Article,"Katipoğlu, Okan Mert","Katipoğlu, Okan Mert (Department of Civil Engineering, Erzincan Binali Yıldırım University, Erzincan, Turkey)","Katipoğlu, Okan Mert (Erzincan University)","Katipoğlu, Okan Mert (Erzincan University)",1,1,,,,https://app.dimensions.ai/details/publication/pub.1163247476,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology; 46 Information and Computing Sciences,
3838,pub.1085886600,10.1007/s11356-017-9343-4,28589278,,"Hydrologic monitoring tools for freshwater municipal planning in the Arctic: the case of Iqaluit, Nunavut, Canada","Freshwater and the services it provides are vital to both natural ecosystems and human needs; however, extreme climates and their influence on freshwater availability can be challenging for municipal planners and engineers to manage these resources effectively. In Arctic Canada, financial and human capital limitations have left a legacy of freshwater systems that underserve current communities and may be inadequate in the near future under a warming climate, growing population, and increasing demand. We address this challenge to community water resource planning by applying several novel water supply forecasting methods to evaluate the Apex River as an alternative freshwater source for Iqaluit, Nunavut (Canada). Surveys of water isotope composition of the Apex River and tributaries indicated that rainfall is the main source of water replenishment. This information was utilized to calibrate a water resource assessment that considered climate forecasting scenarios and their influence on supply, and alternative scenarios for freshwater management to better adapt to a changing climate. We found that under current climate and demand conditions, the freshwater supply of Iqaluit would be in a perpetual state of drawdown by 2024. Analysis of current infrastructure proposals revealed significant deficiencies in the supply extensions proposed whereby the Apex replenishment pipeline would only provide a 2-year extension to current municipal supply. Our heuristic supply forecast methods allowed for several alternative supply strategies to be rapidly evaluated, which will aid the community planning process by specifically quantifying the service life of the city’s current and future primary water supply.","This project was supported by an NSERC Discovery Grant awarded to BBW, by the Northern Scientific Training Program to support MB, and a York University research grant awarded to ASM. We are grateful to the Nunavut Research Institute for logistical assistance and to Thomas W.D. Edwards for his guidance and insight.",,Environmental Science and Pollution Research,,,Climate; Climate Change; Environmental Monitoring; Fresh Water; Humans; Hydrology; Nunavut; Planning Techniques; Rain; Rivers; Seasons; Water Supply,2017-06-06,2017,2017-06-06,2018-11,25,33,32913-32925,Closed,Article,"Bakaic, Michael; Medeiros, Andrew Scott; Peters, Jessica F.; Wolfe, Brent B.","Bakaic, Michael (Department of Environmental Studies, York University, Toronto, ON, Canada); Medeiros, Andrew Scott (Robarts Centre for Canadian Studies, York University, Toronto, ON, Canada); Peters, Jessica F. (Department of Geography and Environmental Studies, Wilfrid Laurier University, Waterloo, ON, Canada); Wolfe, Brent B. (Department of Geography and Environmental Studies, Wilfrid Laurier University, Waterloo, ON, Canada)","Medeiros, Andrew Scott (York University)","Bakaic, Michael (York University); Medeiros, Andrew Scott (York University); Peters, Jessica F. (Wilfrid Laurier University); Wolfe, Brent B. (Wilfrid Laurier University)",9,4,0.24,1.23,,https://app.dimensions.ai/details/publication/pub.1085886600,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences,13 Climate Action
3836,pub.1164894660,10.3390/s23208387,37896481,PMC10611122,Snow Cover Response to Climatological Factors at the Beas River Basin of W. Himalayas from MODIS and ERA5 Datasets,"Glaciers and snow are critical components of the hydrological cycle in the Himalayan region, and they play a vital role in river runoff. Therefore, it is crucial to monitor the glaciers and snow cover on a spatiotemporal basis to better understand the changes in their dynamics and their impact on river runoff. A significant amount of data is necessary to comprehend the dynamics of snow. Yet, the absence of weather stations in inaccessible locations and high elevation present multiple challenges for researchers through field surveys. However, the advancements made in remote sensing have become an effective tool for studying snow. In this article, the snow cover area (SCA) was analysed over the Beas River basin, Western Himalayas for the period 2003 to 2018. Moreover, its sensitivity towards temperature and precipitation was also analysed. To perform the analysis, two datasets, i.e., MODIS-based MOYDGL06 products for SCA estimation and the European Centre for Medium-Range Weather Forecasts (ECMWF) Atmospheric Reanalysis of the Global Climate (ERA5) for climate data were utilized. Results showed an average SCA of ~56% of its total area, with the highest annual SCA recorded in 2014 at ~61.84%. Conversely, the lowest annual SCA occurred in 2016, reaching ~49.2%. Notably, fluctuations in SCA are highly influenced by temperature, as evidenced by the strong connection between annual and seasonal SCA and temperature. The present study findings can have significant applications in fields such as water resource management, climate studies, and disaster management.",The authors duly acknowledge the websites.,"This research work is financially supported by the Women Scientist Scheme-A (WOS-A) Project (Grant No. SR/WOS-A/ET-55/2019) by the Department of Science and Technology (DST), Govt. of India (vishakha.sood@ieee.org). GPP’s participation in the research study was financially supported by the project “EO-PERSIST” European Union’s Horizon Europe Research and Innovation program HORIZON-MSCA-2021-SE-01-01 under grant agreement No. 101086386.",Sensors,,,,2023-10-11,2023,2023-10-11,,23,20,8387,All OA; Gold,Article,"Sunita; Gupta, Pardeep Kumar; Petropoulos, George P.; Gusain, Hemendra Singh; Sood, Vishakha; Gupta, Dileep Kumar; Singh, Sartajvir; Singh, Abhay Kumar","Sunita (Department of Civil Engineering, Punjab Engineering College (Deemed to be University), Chandigarh 160012, India;, sunita.ce@pbi.ac.in, (S.);, pardeepgupta@pec.edu.in, (P.K.G.); Department of Civil Engineering, Punjabi University, Patiala 147002, India); Gupta, Pardeep Kumar (Department of Civil Engineering, Punjab Engineering College (Deemed to be University), Chandigarh 160012, India;, sunita.ce@pbi.ac.in, (S.);, pardeepgupta@pec.edu.in, (P.K.G.)); Petropoulos, George P. (Department of Geography, Harokopio University of Athens, El. Venizelou St., 70, Kallithea, 17671 Athens, Greece;, gpetropoulos@hua.gr); Gusain, Hemendra Singh (Institute of Technology Management (DRDO), Mussoorie 248179, India;, hs.gusain.dgre@gov.in); Sood, Vishakha (Department of Civil Engineering, Indian Institute of Technology, Ropar 140001, India;, vishakha.sood@ieee.org); Gupta, Dileep Kumar (Department of Physics, Banaras Hindu University, Varanasi 221005, India;, singhak@bhu.ac.in); Singh, Sartajvir (University Institute of Engineering, Chandigarh University, Mohali 140413, India;, sartajvir.dhillon@ieee.org); Singh, Abhay Kumar (Department of Physics, Banaras Hindu University, Varanasi 221005, India;, singhak@bhu.ac.in)","Gupta, Dileep Kumar (Banaras Hindu University)","Sunita (Punjab Engineering College; Department of Civil Engineering, Punjab Engineering College (Deemed to be University), Chandigarh 160012, India;, sunita.ce@pbi.ac.in, (S.);, pardeepgupta@pec.edu.in, (P.K.G.); Punjabi University); Gupta, Pardeep Kumar (Punjab Engineering College; Department of Civil Engineering, Punjab Engineering College (Deemed to be University), Chandigarh 160012, India;, sunita.ce@pbi.ac.in, (S.);, pardeepgupta@pec.edu.in, (P.K.G.)); Petropoulos, George P. (Harokopio University of Athens); Gusain, Hemendra Singh (Institute of Technology Management); Sood, Vishakha (Indian Institute of Technology Ropar); Gupta, Dileep Kumar (Banaras Hindu University); Singh, Sartajvir (Chandigarh University); Singh, Abhay Kumar (Banaras Hindu University)",0,0,,,https://www.mdpi.com/1424-8220/23/20/8387/pdf?version=1697011783,https://app.dimensions.ai/details/publication/pub.1164894660,"40 Engineering; 4008 Electrical Engineering; 4009 Electronics, Sensors and Digital Hardware; 46 Information and Computing Sciences; 4606 Distributed Computing and Systems Software",13 Climate Action
3834,pub.1010654433,10.1016/j.scitotenv.2016.08.081,27572537,,"A system dynamics simulation model for sustainable water resources management and agricultural development in the Volta River Basin, Ghana","In a rapidly changing water resources system, dynamic models based on the notion of systems thinking can serve as useful analytical tools for scientists and policy-makers to study changes in key system variables over time. In this paper, an integrated system dynamics simulation model was developed using a system dynamics modelling approach to examine the feedback processes and interaction between the population, the water resource, and the agricultural production sub-sectors of the Volta River Basin in West Africa. The objective of the model is to provide a learning tool for policy-makers to improve their understanding of the long-term dynamic behaviour of the basin, and as a decision support tool for exploring plausible policy scenarios necessary for sustainable water resource management and agricultural development. Structural and behavioural pattern tests, and statistical test were used to evaluate and validate the performance of the model. The results showed that the simulated outputs agreed well with the observed reality of the system. A sensitivity analysis also indicated that the model is reliable and robust to uncertainties in the major parameters. Results of the business as usual scenario showed that total population, agricultural, domestic, and industrial water demands will continue to increase over the simulated period. Besides business as usual, three additional policy scenarios were simulated to assess their impact on water demands, crop yield, and net-farm income. These were the development of the water infrastructure (scenario 1), cropland expansion (scenario 2) and dry conditions (scenario 3). The results showed that scenario 1 would provide the maximum benefit to people living in the basin. Overall, the model results could help inform planning and investment decisions within the basin to enhance food security, livelihoods development, socio-economic growth, and sustainable management of natural resources.","AcknowledgmentsThis research was supported financially by The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia through the Integrated Natural Resource Management (INRM) science program and School Research Grant (SRG) from the School of Geography, Planning and Environmental Management (GPEM), University of Queensland, Australia. We are grateful to Dr. Oscar Yawson (University of Cape Coast) for helping to facilitate the workshop. More importantly, the participants who contributed to the development of the models are deserve a special thanks for spending time with us, willingly sharing their knowledge and experiences regarding the subject matter. We also appreciate critical feedback from the anonymous reviewers.",,The Science of The Total Environment,,,,2016-08-27,2016,2016-08-27,2016-12,573,,444-457,Closed,Article,"Kotir, Julius H.; Smith, Carl; Brown, Greg; Marshall, Nadine; Johnstone, Ron","Kotir, Julius H. (School of Geography, Planning and Environmental Management, University of Queensland, Brisbane, QLD, 4072, Australia); Smith, Carl (School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD, 4072, Australia); Brown, Greg (School of Geography, Planning and Environmental Management, University of Queensland, Brisbane, QLD, 4072, Australia); Marshall, Nadine (CSIRO Land and Water Flagship, James Cook University, Townsville, QLD, 4811, Australia); Johnstone, Ron (School of Geography, Planning and Environmental Management, University of Queensland, Brisbane, QLD, 4072, Australia)","Kotir, Julius H. (University of Queensland)","Kotir, Julius H. (University of Queensland); Smith, Carl (University of Queensland); Brown, Greg (University of Queensland); Marshall, Nadine (James Cook University); Johnstone, Ron (University of Queensland)",169,66,1.44,22.05,,https://app.dimensions.ai/details/publication/pub.1010654433,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,2 Zero Hunger; 6 Clean Water and Sanitation
3833,pub.1149270279,10.7717/peerj.13560,35811819,PMC9266610,A comprehensive drought monitoring method integrating multi-source data,"Droughts are the most expensive natural disasters on the planet. As a result of climate change and human activities, the incidence and impact of drought have grown in China. Timely and effective monitoring of drought is crucial for water resource management, drought mitigation, and national food security. In this study, we constructed a comprehensive drought index (YCDI) suitable for the Yellow River Basin using principal component analysis and the entropy weight-AHP method, which integrated a standardized precipitation evapotranspiration index (SPEI), self-calibrating Palmer drought severity index (scPDSI), vegetation condition index (VCI), and standardized water storage index (SWSI). SWSI is calculated by the terrestrial water storage anomaly (TWSA), which can more comprehensively reflect the impact of surface water resources on drought (as compared with soil moisture-based indexes). The study results showed that: (1) compared with single drought index, YCDI has stronger ability to monitor drought process. In terms of time scale and drought degree, the monitoring results based on YCDI were similar with data presented in the China Flood and Drought Bulletin and Meteorological Drought Yearbook, reaching ~87% and ~69%, respectively. The correlation between drought intensity and crop harvest area was 0.56. (2) By the combined analysis of the Mann-Kendall test and Moving T test, it was found that the abrupt change of YCDI index at the time of 2009, mainly due to the precipitation in 2009 reached the lowest value in the past 30 years in northern China and extreme high temperature weather. (3) The YCDI of Henan and Shandong provinces in the middle and lower reaches of the basin decreased more significantly, with the maximum value reaching 0.097/yr, while the index in the upper reaches showed an increasing trend with the maximum rate of 0.096/yr. (4) The frequency of mild drought, moderate drought, severe drought and extreme drought in the Yellow River basin during the study period was 15.84%, 12.52%, 4.03% and 0.97%, respectively. Among them, the highest frequency of droughts occurred in Ningxia, Inner Mongolia and central Shaanxi provinces. Drought causation in the Yellow River basin is more influenced by human activities than climate change in the middle and lower reaches, while climate change is the main factor in the upper reaches. Overall, YCDI is a reliable indicator for monitoring the spatial and temporal evolution of drought in the Yellow River basin, and it can be used for monitoring soil moisture changes and vegetation dynamics, which can provide scientific guidance for regional drought governance.",We thank the language modification of this review by company EditorBar.,"This research was funded by the National Natural Science Foundation of China (No. 52079103). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.",PeerJ,,,Humans; Droughts; Climate Change; China; Water; Soil,2022-07-05,2022,2022-07-05,,10,,e13560,All OA; Gold,Article,"Shi, Xiaoliang; Ding, Hao; Wu, Mengyue; Shi, Mengqi; Chen, Fei; Li, Yi; Yang, Yuanqi","Shi, Xiaoliang (College of Geomatics, Xi’an University of Science and Technology, Xian, Shaanxi, China); Ding, Hao (College of Geomatics, Xi’an University of Science and Technology, Xian, Shaanxi, China); Wu, Mengyue (No. 6 Geological Party, Guangdong Geological Bureau, Jiangmen, Guangdong, China); Shi, Mengqi (College of Geomatics, Xi’an University of Science and Technology, Xian, Shaanxi, China); Chen, Fei (College of Geomatics, Xi’an University of Science and Technology, Xian, Shaanxi, China); Li, Yi (College of Geomatics, Xi’an University of Science and Technology, Xian, Shaanxi, China); Yang, Yuanqi (College of Geomatics, Xi’an University of Science and Technology, Xian, Shaanxi, China)","Ding, Hao (Xi'an University of Science and Technology)","Shi, Xiaoliang (Xi'an University of Science and Technology); Ding, Hao (Xi'an University of Science and Technology); Wu, Mengyue (No. 6 Geological Party, Guangdong Geological Bureau, Jiangmen, Guangdong, China); Shi, Mengqi (Xi'an University of Science and Technology); Chen, Fei (Xi'an University of Science and Technology); Li, Yi (Xi'an University of Science and Technology); Yang, Yuanqi (Xi'an University of Science and Technology)",2,2,0.85,1.1,https://doi.org/10.7717/peerj.13560,https://app.dimensions.ai/details/publication/pub.1149270279,37 Earth Sciences; 3701 Atmospheric Sciences; 3704 Geoinformatics; 3707 Hydrology; 3709 Physical Geography and Environmental Geoscience,13 Climate Action
3832,pub.1091829985,10.1016/j.chemosphere.2017.09.084,28950120,,River catchment responses to anthropogenic acidification in relationship with sewage effluent: An ecotoxicology screening application,"Rising environmental pressures on water resources and resource quality associated with urbanisation, industrialisation, mining and agriculture are a global concern. In the current study the upper Olifants River catchment as case study was used, to show that acid mine drainage (AMD) and acid precipitation were the two most important drivers of possible acidification during a four-year study period. Over the study period 59% of the precipitation sampled was classified as acidic with a pH value below 5.6. Traces of acidification in the river system using aquatic organisms at different trophic levels were only evident in areas of AMD point sources. Data gathered from the ecotoxicology screening tools, revealed that discharge of untreated and partially treated domestic sewage from municipal sewage treatment works and informal housing partially mitigate any traces of acidification by AMD and acid precipitation in the main stem of the upper Olifants River. The outcome of the study using phytoplankton and macroinvertebrates as indicator organisms revealed that the high loads of sewage effluent might have played a major role in the neutralization of acidic surface water conditions caused by AMD and acid precipitation. Although previous multi-stage and microcosm studies confirmed the decrease in acidity and metals concentrations by municipal wastewater, the current study is the first to provide supportive evidence of this co-attenuation on catchment scale. These findings are important for integrated water resource management on catchment level, especially in river systems with a complex mixture of pollutants.","The authors express their sincere gratitude to Mr Phil Hobbs for reviewing the paper and Dr Dirk Swanevelder for helping with the precipitation sampling and Coaltech, NRF (TP13081127001) and the CSIR for providing funding for the project. The authors also thank the unknown referees for critically reviewing the manuscript and suggesting useful changes.",,Chemosphere,,,"Acids; Agriculture; Ecotoxicology; Environmental Monitoring; Mining; Phytoplankton; Rivers; Sewage; Waste Disposal, Fluid; Water Pollutants, Chemical",2017-09-18,2017,2017-09-18,2017-12,189,,407-417,Closed,Article,"Oberholster, P.J.; Botha, A.-M.; Hill, L.; Strydom, W.F.","Oberholster, P.J. (CSIR Natural Resources and the Environment, P.O. Box 320, Stellenbosch 7599, South Africa; Department of Earth Sciences, University of the Western Cape, Private Bag X17, Bellville 7535, South Africa); Botha, A.-M. (Department of Genetics, University of Stellenbosch, Private Bag X1, Matieland, Stellenbosch, 7601, South Africa); Hill, L. (CSIR Natural Resources and the Environment, P.O. Box 395, Pretoria 0001, South Africa; Department of Genetics, University of Stellenbosch, Private Bag X1, Matieland, Stellenbosch, 7601, South Africa); Strydom, W.F. (CSIR Natural Resources and the Environment, P.O. Box 395, Pretoria 0001, South Africa)","Botha, A.-M. (Stellenbosch University)","Oberholster, P.J. (CSIR Natural Resources and the Environment, P.O. Box 320, Stellenbosch 7599, South Africa; University of the Western Cape); Botha, A.-M. (Stellenbosch University); Hill, L. (Council for Scientific and Industrial Research; Stellenbosch University); Strydom, W.F. (Council for Scientific and Industrial Research)",26,10,0.43,2.45,,https://app.dimensions.ai/details/publication/pub.1091829985,37 Earth Sciences; 41 Environmental Sciences; 4102 Ecological Applications; 4105 Pollution and Contamination,6 Clean Water and Sanitation
3830,pub.1160193522,10.1371/journal.pone.0287314,37379295,PMC10306186,"The impacts of climate change on hydrological processes of Gilgel Gibe catchment, southwest Ethiopia","Climate change is a significant driver of water resource availability, affecting the magnitude of surface runoff, aquifer recharge, and river flows. This study investigated the impact of climate change on hydrological processes within the Gilgel Gibe catchment and aimed to determine the level of exposure of water resources to these changes, which is essential for future adaptability planning. To achieve this objective, an ensemble mean of six regional climate models (RCMs) from the coordinated regional climate downscaling experiment (CORDEX)-Africa was used to simulate future climatic scenarios. The RCMs outputs were then bias corrected using distribution mapping to match observed precipitation and temperature. The Soil and Water Assessment Tool (SWAT) model was used to assess the hydrological impacts of climate change on the catchment. The results indicated that the ensemble mean of the six RCMs projects a decline in precipitation and an increase in temperature under both the RCP4.5 and RCP8.5 representative concentration pathways. Moreover, the increases in both maximum and minimum temperatures are higher for higher emission scenarios, indicating that RCP8.5 is warmer than RCP4.5. The projected climate change shows a decrease in surface runoff, groundwater, and water yield, resulting in an overall decline of annual flow. This decline is mainly due to the reduction in seasonal flows driven by climate change scenarios. The changes in precipitation range from -11.2% to -14.3% under RCP4.5 and from -9.2% to -10.0% under RCP8.5, while the changes in temperature range from 1.7°C to 2.5°C under RCP4.5 and from 1.8°C to 3.6°C under RCP8.5. These changes could lead to reduced water availability for crop production, which could be a chronic issue for subsistence agriculture. Additionally, the reduction of surface water and groundwater could further exacerbate water stress in the downstream areas, affecting the availability of water resources in the catchment. Furthermore, the increasing demands for water, driven by population growth and socioeconomic progress, along with the variability in temperature and evaporation demands, will amplify prolonged water scarcity. Therefore, robust climate-resilient water management policies are indispensable to manage these risks. In conclusion, this study highlights the importance of considering the impact of climate change on hydrological processes and the need for proactive adaptation measures to mitigate the impacts of climate change on water resources.",,The authors received no specific funding for this work.,PLOS ONE,,Salim Heddam,Climate Change; Ethiopia; Agriculture; Forecasting; Water Resources,2023-06-28,2023,2023-06-28,,18,6,e0287314,All OA; Gold,Article,"Tilahun, Zewde Alemayehu; Bizuneh, Yechale Kebede; Mekonnen, Abren Gelaw","Tilahun, Zewde Alemayehu (Dep’t of Geography & Env’tal Studies, Arba-Minch University, Arba Minch, Ethiopia); Bizuneh, Yechale Kebede (Dep’t of Geography & Env’tal Studies, Arba-Minch University, Arba Minch, Ethiopia); Mekonnen, Abren Gelaw (Dep’t of Geography & Env’tal Studies, Arba-Minch University, Arba Minch, Ethiopia)","Tilahun, Zewde Alemayehu (Arba Minch University)","Tilahun, Zewde Alemayehu (Arba Minch University); Bizuneh, Yechale Kebede (Arba Minch University); Mekonnen, Abren Gelaw (Arba Minch University)",5,5,,,https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287314&type=printable,https://app.dimensions.ai/details/publication/pub.1160193522,37 Earth Sciences; 3701 Atmospheric Sciences; 3707 Hydrology,13 Climate Action; 6 Clean Water and Sanitation
3830,pub.1160276497,10.1016/j.jenvman.2023.118402,37393868,,Emergy-based sustainability evaluation model of hydropower megaproject incorporating the social-economic-ecological losses,"The sustainable development of the hydropower megaproject (HM) is one of the critical components of sustainable water resources management. Hence, an accurate assessment of the impacts of social-economic-ecological losses (SEEL) on the sustainability of the HM system is of utmost importance. This study proposes an emergy-based sustainability evaluation model incorporating the social-economic-ecological losses (ESM-SEEL), which integrated the inputs and outputs during HM's construction and operation into an emergy calculation account. The Three Gorges Project (TGP) on the Yangtze River is selected as a case study to comprehensively evaluate the HM's sustainability from 1993 to 2020. Subsequently, the emergy-based indicators of TGP are compared with several hydropower projects in China and worldwide to analyze the multi-impacts of hydropower development. The results showed that the river chemical potential (2.35 E+24sej) and the emergy losses (L) (1.39 E+24sej) are the primary emergy inflow sections (U) of the TGP system, accounting for 51.1% and 30.4% of the U, respectively. The flood control function of the TGP produced tremendous socio-economic benefits (1.24 E+24sej), accounting for 37.8% of the total emergy yield. The resettlement and compensation, water pollution during operation, fish biodiversity loss, and sediment deposition are the main L of the TGP, accounting for 77.8%, 8.4%, 5.6%, and 2.6%, respectively. Based on the enhanced emergy-based indicators, the assessment reveals that the sustainability level of the TGP falls in the middle range compared to other hydropower projects. Thus, along with maximizing the benefits of the HM system, it is necessary to minimize the SEEL of the HM system, which is a critical approach to promote the coordinated development of the hydropower and ecological environment in the Yangtze River basin. This study helps to understand the complex relationship between human and water systems and provides a novel framework that can be used as an evaluation index and insights for hydropower sustainability assessment.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgments The authors sincerely appreciate the anonymous reviewer and editors&#x27; valuable comments and suggestions to improve the manuscript. The authors gratefully acknowledge the financial support provided by the National Natural Science Foundation of China (No. 52179022), the National Key Research and Development Program of China (No. 2022YFC3005400), and the Fundamental Research Funds for Central Public Welfare Research Institutes (No. Y723001 and Y722007).",,Journal of Environmental Management,,,Humans; Ecosystem; Conservation of Natural Resources; Water Pollution; China,2023-06-30,2023,2023-06-30,2023-10,344,,118402,Closed,Article,"Jing, Peiran; Sheng, Jinbao; Hu, Tiesong; Mahmoud, Ali; Huang, Yifan; Li, Xiang; Liu, Yong; Wang, Yue; Shu, Zhangkang","Jing, Peiran (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, China; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China. Electronic address: jingpeiran1997@126.com.); Sheng, Jinbao (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, China. Electronic address: jbshengnhri@163.com.); Hu, Tiesong (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.); Mahmoud, Ali (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.); Huang, Yifan (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.); Li, Xiang (State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.); Liu, Yong (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, China; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China.); Wang, Yue (Key Laboratory for Green & Advanced Civil Engineering Materials and Application Technology of Hunan Province, Hunan University, Changsha, 410082, China.); Shu, Zhangkang (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, China.)","Sheng, Jinbao (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering)","Jing, Peiran (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Wuhan University); Sheng, Jinbao (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering); Hu, Tiesong (Wuhan University); Mahmoud, Ali (Wuhan University); Huang, Yifan (Wuhan University); Li, Xiang (Wuhan University); Liu, Yong (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Wuhan University); Wang, Yue (Hunan University); Shu, Zhangkang (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering)",2,2,,,,https://app.dimensions.ai/details/publication/pub.1160276497,37 Earth Sciences; 3707 Hydrology; 41 Environmental Sciences; 4104 Environmental Management,7 Affordable and Clean Energy
3825,pub.1084026197,10.1007/s10661-017-5916-4,28364328,,"Use of three monitoring approaches to manage a major Chrysosporum ovalisporum bloom in the Murray River, Australia, 2016","An unusual bloom of Chrysosporum ovalisporum (basionym Aphanizomenon ovalisporum) occurred for the first time in the Murray River and distributary rivers in New South Wales, Australia, from mid-February to early June 2016. At its greatest extent, it contaminated a combined river length of ca. 2360 km. Chrysosporum ovalisporum usually comprised >99% of the total bloom biovolume at most locations sampled, which at times exceeded 40 mm3 l−1. The origins of the bloom were most likely reservoirs on the upper Murray River, with cyanobacterial-infested water released from them contaminating the river systems downstream. An integrated approach using three analytical methods: (1) identification and enumeration by microscopy, (2) multiplex quantitative polymerase chain reaction (qPCR), and (3) toxin analysis, was used to obtain data for the assessment of risk to water users and management of the bloom. qPCR indicated some cyrA and stxA genes responsible for cylindrospermopsin and saxitoxin biosynthesis respectively were present, but mostly below the level of quantification. No mcyE genes for microcystin biosynthesis were detected. Toxin analysis also revealed that cylindrospermopsin, saxitoxin and microcystin were all below detection. Lack of measurable toxicity in a species usually considered a cylindrospermopsin producer elsewhere meant the possibility of relaxing management guidelines; however, high (Red) alerts needed to be maintained due to risk to water users from other biohazards potentially produced by the cyanobacteria such as contact irritants. A three-tiered monitoring strategy is suggested for monitoring cyanobacterial blooms to provide enhanced data for bloom management.","We thank Gordon Honeyman, Andy Wise, Gerhard Schulz and others for the collection of samples along the Murray River and elsewhere during the bloom; and Water NSW for the provision of data from Lake Hume. Dr. Choon Wong from the Forensic and Analytical Science Service laboratory, NSW Health, is thanked for the toxin analyses.",,Environmental Monitoring and Assessment,,,"Colony Count, Microbial; Conservation of Natural Resources; Cyanobacteria; Environmental Monitoring; Eutrophication; Multiplex Polymerase Chain Reaction; New South Wales; RNA, Bacterial; RNA, Ribosomal, 16S; Rivers; Victoria",2017-03-31,2017,2017-03-31,2017-04,189,4,202,Closed,Article,"Crawford, Adam; Holliday, Jon; Merrick, Chester; Brayan, John; van Asten, Mark; Bowling, Lee","Crawford, Adam (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia); Holliday, Jon (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia); Merrick, Chester (DPI Water, Department of Primary Industries, PO Box 829, 2640, Albury, NSW, Australia; Water NSW, Albury, NSW, Australia); Brayan, John (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia); van Asten, Mark (Diagnostic Technology, 7 Narabang Way, 2085, Belrose, NSW, Australia; School of Biotechnology and Biomolecular Sciences, University of New South Wales, 2052, Sydney, NSW, Australia); Bowling, Lee (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia; Centre for Ecosystem Science, University of New South Wales, 2052, Sydney, NSW, Australia; 3 Shrike Place, 2565, Ingleburn, NSW, Australia)","Bowling, Lee (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia; UNSW Sydney; 3 Shrike Place, 2565, Ingleburn, NSW, Australia)","Crawford, Adam (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia); Holliday, Jon (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia); Merrick, Chester (DPI Water, Department of Primary Industries, PO Box 829, 2640, Albury, NSW, Australia; Water NSW, Albury, NSW, Australia); Brayan, John (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia); van Asten, Mark (Diagnostic Technology, 7 Narabang Way, 2085, Belrose, NSW, Australia; UNSW Sydney); Bowling, Lee (DPI Water, Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Private Bag 4008, 2568, Narellan, NSW, Australia; UNSW Sydney; 3 Shrike Place, 2565, Ingleburn, NSW, Australia)",13,5,0.58,1.02,,https://app.dimensions.ai/details/publication/pub.1084026197,41 Environmental Sciences; 4101 Climate Change Impacts and Adaptation,
3825,pub.1153189708,10.3390/ijerph192315772,36497847,PMC9738567,Spatio-Temporal Characteristics of Trade-Offs and Synergies in Ecosystem Services at Watershed and Landscape Scales: A Case Analysis of the Yellow River Basin (Henan Section),"The changes and interrelationships of ecosystem services at different global and regional scales have been actively investigated. Clarifying the trade-offs and synergies between ecosystem services from a multi-scale scientific perspective is vital to improve the coordinated and sustainable development of the watershed and ecological protection. As an important ecological barrier region of the Yellow River Basin, the Henan section provides a variety of important ecosystem services. This study analyzes the characteristics of land use changes in the Yellow River Basin (Henan section) from 1990 to 2020. Based on the InVEST model, four ecosystem services-water production, soil conservation, carbon storage and food supply have been evaluated. The Spearman correlation coefficient was used to further reveal the spatial and temporal characteristics of the trade-offs and synergies at different levels of each service. The results showed that: (1) From 1990 to 2020, the basin was dominated by farmland conservation. The construction land area mainly exhibited an inflow behavior, while other land use types were mainly related to outflow. (2) From 1990 to 2020, the water yield, soil conservation and carbon storage first increased and then decreased, while food supply gradually increased. The spatial distribution of these ecosystem services was lower in the southwest and slightly higher in the northeast and farmland had the highest capacity of water production and food supply, while woodland had the highest capacity for soil conservation and carbon storage. (3) The Spearman rank correlation coefficient indicated that the trade-offs for the ecosystem services in the Yellow River Basin (Henan section) dominated before 2000, and the synergies gradually strengthened after 2000. (4) There were clear spatial heterogeneities in the ecosystem services of the basin; for instance, the functions in the middle and lower reaches of the Yellow River Basin (Henan section) were mainly trade-offs, while the higher elevations in the middle reaches exhibited synergistic relationships. This study aims to clarify the trade-offs and synergies between ecosystem services at the different levels. Based on our findings, countermeasures and suggestions for ecological protection and management are proposed to promote the coordinated development of social economy and ecological protection.","We acknowledge all people who contributed to the data collection and processing, as well as the constructive and insightful comments by the editor and anonymous reviewers.","This research was funded by the National Natural Science Foundation of China (Grant No. 42271283; 42201297), Think Tank Research Project of Colleges and Universities in Henan Province in 2021 (Grant No. 2021-ZKYJ-07), Scientific and Technological Innovation Team of Universities in Henan Province (Grant No. 22IRTSTHN008), Program for Innovative Research Team (in Philosophy and Social Science) in University of Henan Province (Grant No. 2022-CXTD-02), Annual Program of Philosophy and Social Science Planning in Henan Province (Grant No. 2022BJJ049).",International Journal of Environmental Research and Public Health,,"Zihao Zheng, Qifei Zhang",Ecosystem; Conservation of Natural Resources; Rivers; Soil; Carbon; Water; China,2022-11-27,2022,2022-11-27,,19,23,15772,All OA; Gold,Article,"Niu, Haipeng; Liu, Mengmeng; Xiao, Dongyang; Zhao, Xiaoming; An, Ran; Fan, Liangxin","Niu, Haipeng (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China; Research Centre of Arable Land Protection and Urban-Rural High-Quality Development of Yellow River Basin, Henan Polytechnic University, Jiaozuo 454000, China); Liu, Mengmeng (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China); Xiao, Dongyang (Research Centre of Arable Land Protection and Urban-Rural High-Quality Development of Yellow River Basin, Henan Polytechnic University, Jiaozuo 454000, China; School of Resources & Environment, Henan Polytechnic University, Jiaozuo 454000, China); Zhao, Xiaoming (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China); An, Ran (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China); Fan, Liangxin (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China; Research Centre of Arable Land Protection and Urban-Rural High-Quality Development of Yellow River Basin, Henan Polytechnic University, Jiaozuo 454000, China)","Xiao, Dongyang (Henan Polytechnic University; Henan Polytechnic University)","Niu, Haipeng (Henan Polytechnic University; Henan Polytechnic University); Liu, Mengmeng (Henan Polytechnic University); Xiao, Dongyang (Henan Polytechnic University; Henan Polytechnic University); Zhao, Xiaoming (Henan Polytechnic University); An, Ran (Henan Polytechnic University); Fan, Liangxin (Henan Polytechnic University; Henan Polytechnic University)",3,3,,1.62,https://www.mdpi.com/1660-4601/19/23/15772/pdf?version=1670551787,https://app.dimensions.ai/details/publication/pub.1153189708,37 Earth Sciences; 3704 Geoinformatics; 38 Economics; 41 Environmental Sciences; 4102 Ecological Applications; 4104 Environmental Management,15 Life on Land; 2 Zero Hunger
3825,pub.1105344644,10.1016/j.jenvrad.2018.07.003,29986317,,"Evaluation of groundwater discharge into surface water by using Radon-222 in the Source Area of the Yellow River, Qinghai-Tibet Plateau","Understanding hydrological processes in the Source Area of the Yellow River (SAYR), Qinghai-Tibet Plateau, is vital for protection and management of groundwater and surface water resources in the region. In situ water measurements of exchange rates between surface water and groundwater are, however, hard to conduct because of the harsh natural conditions of the SAYR. We here present an indirect method using in situ 222Rn measurements to estimate groundwater discharge into rivers and lakes in the SAYR. 222Rn was measured in rivers, lakes, groundwater and springs during three sampling periods (2014-2016), and the results indicate large variability in the concentration of the isotope. The data also indicate decreasing 222Rn trends in groundwater in the cold season (the Feb-2015 sampling period) which may be linked to frequency of capturing 222Rn in the frozen ground caused by geocryogenic processes. In addition, permafrost spatial extent and freeze-thaw processes have strongly affected the hydrological conditions in the region.","This work was supported by the National Natural Science Foundation of China (Grant No. 51539003) and the Special Fund of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (Grant No. 20155045612 and No. 20165042512). In addition, this research was funded in part by the Fundamental Research Funds for the Central Universities (Grant No. 2017B10314).",,Journal of Environmental Radioactivity,,,"Groundwater; Hydrology; Radiation Monitoring; Radon; Rivers; Tibet; Water Movements; Water Pollutants, Radioactive",2018-07-06,2018,2018-07-06,2018-12,192,,257-266,Closed,Article,"Yi, Peng; Luo, Huan; Chen, Li; Yu, Zhongbo; Jin, Huijun; Chen, Xiaobing; Wan, Chengwei; Aldahan, Ala; Zheng, Minjie; Hu, Qingfang","Yi, Peng (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China; State Key Laboratory of Frozen Soils Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Science, Lanzhou, 730000, China); Luo, Huan (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China); Chen, Li (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China); Yu, Zhongbo (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China); Jin, Huijun (State Key Laboratory of Frozen Soils Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Science, Lanzhou, 730000, China); Chen, Xiaobing (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China); Wan, Chengwei (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing, China); Aldahan, Ala (Department of Geology, United Arab Emirates University, Al Ain, United Arab Emirates); Zheng, Minjie (Department of Geology, Quaternary Sciences, Lund University, Lund, 22362, Sweden); Hu, Qingfang (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, China)","Chen, Li (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Yu, Zhongbo (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University)","Yi, Peng (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University; Chinese Academy of Sciences); Luo, Huan (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Chen, Li (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Yu, Zhongbo (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Jin, Huijun (Chinese Academy of Sciences); Chen, Xiaobing (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Wan, Chengwei (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering; Hohai University); Aldahan, Ala (United Arab Emirates University); Zheng, Minjie (Lund University); Hu, Qingfang (State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering)",23,10,0.57,,,https://app.dimensions.ai/details/publication/pub.1105344644,31 Biological Sciences; 34 Chemical Sciences; 41 Environmental Sciences,
3824,pub.1113874993,10.1038/s41598-019-42971-8,31048705,PMC6497699,Effects of water depth on GBD associated with total dissolved gas supersaturation in Chinese sucker (Myxocyprinus asiaticus) in upper Yangtze River,"Spillway water falling from hydroelectric power plant dams in the upper Yangtze River creates a high pressure in plunge pools below the dams allowing gasses to be dissolved at high rates. The resulting supersaturation persists many miles downstream the dam which may elicit mortality in river fishes associated with gas bubble disease (GBD). We have in a two-year study (2014–15) evaluated the effect of water depth on development of GBD in an endemic and endangered fish species, the Chinese sucker Myxocyprinus asiaticus, 24 km downstream of Xiangjaiba dam. Mortality and incidence of GBD were recorded and it was seen that water depth and survival time/GBD development was positively correlated. The physiological mechanisms explaining increased resistance to GBD with increased water depths (and thereby higher hydrostatic pressure) are discussed. The results may be applied in future management of fish resources in order to protect endangered endemic fishes in rivers affected by dam constructions.","The present study was sponsored by the National Natural Science Foundation of China under permission number 51379136 and the National Key Research and Development Plan under permission number 2016YFC0401710. The study plans were reviewed and approved by the State Key Laboratory of Hydraulics and Mountain River Engineering. We thank YI Wenmin, QIN Leilei, WU Yulei, ZHOU Chenyang, HAN Shiqing, and OU Yangming (Sichuan University, China) for their help during the experiments.",,Scientific Reports,,,Animals; Cypriniformes; Fish Diseases; Power Plants; Rivers; Water,2019-05-02,2019,2019-05-02,,9,1,6828,All OA; Gold,Article,"Cao, Lu; Li, Yong; An, Ruidong; Wang, Yuanming; Li, Kefeng; Buchmann, Kurt","Cao, Lu (School of Port and Transportation Engineering, Zhejiang Ocean University, 316000, Zhoushan, Zhejiang, China; State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610065, Chengdu, China); Li, Yong (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610065, Chengdu, China); An, Ruidong (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610065, Chengdu, China); Wang, Yuanming (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610065, Chengdu, China); Li, Kefeng (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610065, Chengdu, China); Buchmann, Kurt (Laboratory of Aquatic Pathobiology, Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, DK-1870, Frederiksberg C, Denmark)","Li, Kefeng (Sichuan University)","Cao, Lu (Zhejiang Ocean University; Sichuan University); Li, Yong (Sichuan University); An, Ruidong (Sichuan University); Wang, Yuanming (Sichuan University); Li, Kefeng (Sichuan University); Buchmann, Kurt (University of Copenhagen)",16,7,0.44,3.84,https://www.nature.com/articles/s41598-019-42971-8.pdf,https://app.dimensions.ai/details/publication/pub.1113874993,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences",7 Affordable and Clean Energy
3820,pub.1107435603,10.1016/j.scitotenv.2018.10.063,30317175,,Optimum socio-environmental flows approach for reservoir operation strategy using many-objectives evolutionary optimization algorithm,"Water resource system complexity, high-dimension modelling difficulty and computational efficiency challenges often limit decision makers' strategies to combine environmental flow objectives (e.g. water quality, ecosystem) with social flow objectives (e.g. hydropower, water supply and agriculture). Hence, a novel Optimum Social-Environmental Flows (OSEF) with Auto-Adaptive Constraints (AAC) approach introduced as a river basin management decision support tool. The OSEF-AAC approach integrates Socio-Environmental (SE) objectives with convergence booster support to soften any computational challenges. Nine SE objectives and 396 decision variables modelled for Iraq's Diyala river basin. The approach's effectiveness evaluated using two non-environmental models and two inflows' scenarios. The advantage of OSEF-AAC approved, and other decision support alternatives highlighted that could enhance river basin SE sectors' revenues, as river basin economic benefits will improve as well. However, advanced land use and water exploitation policy would need adoption to secure the basin's SE sectors.","This research is funded in part by the Government of Iraq Ministry of Higher Education and Scientific Research (MHESR) - University of Baghdad, Iraq under scheme of Iraqi National PhD Scholarship Programme for the first author and this is gratefully acknowledged. The Iraqi Ministry of Water Resources has also acknowledged providing the data. The authors thank Professor Patrick Reed and David Hadka for providing the source code for Borg MOEA.",,The Science of The Total Environment,,,,2018-10-06,2018,2018-10-06,2019-02,651,Pt 2,1877-1891,All OA; Green,Article,"Al-Jawad, Jafar Y; Alsaffar, Hassan M; Bertram, Douglas; Kalin, Robert M","Al-Jawad, Jafar Y (Department of Civil and Environmental Engineering, University of Strathclyde Glasgow 75 Montrose St, Glasgow G1 1XJ, United Kingdom of Great Britain and Northern Ireland. Electronic address: jafar.al-jawad@strath.ac.uk.); Alsaffar, Hassan M (National Center for Water Resources Management, Ministry of Water Resources, Baghdad, Iraq.); Bertram, Douglas (Department of Civil and Environmental Engineering, University of Strathclyde Glasgow 75 Montrose St, Glasgow G1 1XJ, United Kingdom of Great Britain and Northern Ireland. Electronic address: douglas.bertram@strath.ac.uk.); Kalin, Robert M (Department of Civil and Environmental Engineering, University of Strathclyde Glasgow 75 Montrose St, Glasgow G1 1XJ, United Kingdom of Great Britain and Northern Ireland. Electronic address: robert.kalin@strath.ac.uk.)","Al-Jawad, Jafar Y (University of Strathclyde; Department of Civil and Environmental Engineering, University of Strathclyde Glasgow 75 Montrose St, Glasgow G1 1XJ, United Kingdom of Great Britain and Northern Ireland. Electronic address: jafar.al-jawad@strath.ac.uk.)","Al-Jawad, Jafar Y (University of Strathclyde; Department of Civil and Environmental Engineering, University of Strathclyde Glasgow 75 Montrose St, Glasgow G1 1XJ, United Kingdom of Great Britain and Northern Ireland. Electronic address: jafar.al-jawad@strath.ac.uk.); Alsaffar, Hassan M (National Center for Water Resources Management, Ministry of Water Resources, Baghdad, Iraq.); Bertram, Douglas (University of Strathclyde; Department of Civil and Environmental Engineering, University of Strathclyde Glasgow 75 Montrose St, Glasgow G1 1XJ, United Kingdom of Great Britain and Northern Ireland. Electronic address: douglas.bertram@strath.ac.uk.); Kalin, Robert M (University of Strathclyde; Department of Civil and Environmental Engineering, University of Strathclyde Glasgow 75 Montrose St, Glasgow G1 1XJ, United Kingdom of Great Britain and Northern Ireland. Electronic address: robert.kalin@strath.ac.uk.)",21,6,0.95,8.86,https://strathprints.strath.ac.uk/65877/1/AlJawad_etal_STE_2019_Optimum_socio_environmental_flows_approach_for_reservoir_operation_strategy.pdf,https://app.dimensions.ai/details/publication/pub.1107435603,38 Economics; 3801 Applied Economics,15 Life on Land; 7 Affordable and Clean Energy
3820,pub.1112038483,10.1007/s00267-019-01143-0,30739150,,"Water Use by Inland Aquaculture in Thailand: Stakeholder Perceptions, Scientific Evidence, and Public Policy","This paper assesses the significance of stakeholder discourses on uses of water by aquaculture for public policy. Our discourse analysis focuses on the experiences with inland aquaculture in Thailand, drawing from interviews with stakeholders, and evidence in public documents such as newspapers and television news reports. A key finding is that fish farms suffer significant losses from polluted run-off entering water bodies where fish are grown. Mass mortality events in river cage culture, in particular, attract media attention and are the core of the aquaculture-as-victim discourse. Fish farms are also adversely impacted by river management and current water allocation policies. Inland shrimp farming has received more negative media and scientific attention than fish farming, and is the focus of the aquaculture-as-villain discourse. A third, aquaculture-as-benign discourse, is used widely to describe fish pond culture, and more rarely to promote aquaculture in low-quality water bodies or as part of integrated nutrient and waste re-use farming systems. The findings strongly imply that aquaculture farmers should be included as a stakeholder in the management of watersheds and rivers, as well as the negotiation and allocation of water resources. They also suggest a need for aquaculture development policies to pay closer attention to water quality and allocation issues.","This work was supported by a grant from the Institute of Water Policy, National University of Singapore, and with the aid of a grant from the International Development Research Centre, Ottawa, Canada, under Grant 108526 as a contribution to the AQUADAPT-Mekong project. Thanks to Chatta Duangsuwan for helping with data collection and Boripat Lebel for editorial assistance.",,Environmental Management,,,Animals; Aquaculture; Public Policy; Rivers; Thailand; Water,2019-02-09,2019,2019-02-09,2019-04,63,4,554-563,Closed,Article,"Lebel, Louis; Lebel, Phimphakan; Chuah, C. Joon","Lebel, Louis (Unit for Social and Environmental Research, Science and Technology Research Institute, Chiang Mai University, Chiang Mai, Thailand; Institute of Water Policy, Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore, Singapore); Lebel, Phimphakan (Unit for Social and Environmental Research, Science and Technology Research Institute, Chiang Mai University, Chiang Mai, Thailand); Chuah, C. Joon (Institute of Water Policy, Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore, Singapore)","Lebel, Louis (Chiang Mai University; National University of Singapore)","Lebel, Louis (Chiang Mai University; National University of Singapore); Lebel, Phimphakan (Chiang Mai University); Chuah, C. Joon (National University of Singapore)",13,7,0.33,2.59,,https://app.dimensions.ai/details/publication/pub.1112038483,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences; 41 Environmental Sciences; 4104 Environmental Management",
3817,pub.1145665648,10.1016/j.scitotenv.2022.153970,35183625,,Catchment-scale impacts of shallow landslides on stream water chemistry,"Catchment water quality plays an important role in ecosystem and water resource management in mountainous areas. Shallow landslides triggered by earthquakes or heavy rainfall can cause a sudden and long-term deterioration in stream water quality by releasing contaminants into streams. Although many studies have been undertaken on the relationship between a single landslide and the water chemistry of a nearby river, little is known about the impact of densely distributed shallow landslides on stream water chemistry at the catchment scale. To this end, this study determined the major ion concentrations and isotopic compositions of stream water along with the shallow landslide area/catchment area ratio (LCR) in 37 headwater subcatchments in the southern part of Hokkaido, Japan, where an earthquake caused more than 6000 shallow landslides on September 6, 2018. In subcatchments with a high LCR, stream water exhibited significantly higher Ca2+ and HCO3- concentrations, while there was no correlation between the LCR and concentrations of Na+ and Cl-. The δ18O and δD values of stream water plotted between the local meteoric water lines of summer and winter precipitation, indicating that they originated from meteoric water. Shallow landslides formed sliding surfaces, landslide deposits, and landslide-dammed lakes, which enhanced the interaction between the surface soil and stream water, leading to Ca-HCO3 type water. The results showed that shallow-landslide-driven changes in stream water quality could be linearly approximated by the fraction of the landslide area at the catchment scale, which is a more versatile approach than the local framework of a single landslide and a nearby stream. In future research, these findings could be combined with a slope stability model and the background climatic, geological, topographical, and water quality conditions of a watershed to evaluate water pollution triggered by shallow landslides at the catchment scale.","Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Acknowledgements We would like to thank the Hokkaido Government Department of Fisheries and Forestry for providing a digital elevation model (DEM) constructed after the Hokkaido Eastern Iburi Earthquake in 2018. We would also like to thank Hiroyuki Sugaya for analyzing the water chemistry, and Daisuke Araoka, Chizu Namatame, and Akiko Tokumoto for their XRF and XRD analysis of the soil samples. Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.","This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.",The Science of The Total Environment,,,Earthquakes; Ecosystem; Lakes; Landslides; Rivers,2022-02-17,2022,2022-02-17,2022-06,825,,153970,All OA; Hybrid,Article,"Yoshihara, Naoyuki; Matsumoto, Shinji; Umezawa, Ryosuke; Machida, Isao","Yoshihara, Naoyuki (Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan. Electronic address: n.yoshihara@aist.go.jp.); Matsumoto, Shinji (Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan.); Umezawa, Ryosuke (Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan.); Machida, Isao (Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan.)","Yoshihara, Naoyuki (Geological Survey of Japan)","Yoshihara, Naoyuki (Geological Survey of Japan); Matsumoto, Shinji (Geological Survey of Japan); Umezawa, Ryosuke (Geological Survey of Japan); Machida, Isao (Geological Survey of Japan)",6,6,0.32,5.03,https://doi.org/10.1016/j.scitotenv.2022.153970,https://app.dimensions.ai/details/publication/pub.1145665648,31 Biological Sciences; 3103 Ecology; 37 Earth Sciences,
3816,pub.1162939482,10.1016/j.scitotenv.2023.165986,37536587,,A resilience-based framework for evaluating the carrying capacity of water and environmental resources under the climate change,"This paper proposes a new framework for evaluating water and environmental resources carrying capacity (WERCC) based on the concept of resilience under uncertainty. First, several quantitative and qualitative criteria based on the seven principles of resilience and the Pressure-Support-State (PSS) framework are defined to incorporate the positive and negative impacts of human interventions and natural factors on water resources and the environment. The resilience principles include redundancy and diversity, managing connectivity, managing slow variables and their feedbacks, fostering complex adaptive system (CAS) thinking, encouraging learning, broadening participation, and promoting polycentric governance. After evaluating the values of the criteria and sub-criteria using a two-point evidential reasoning (TPER) approach and considering the existing uncertainties, the monthly time series of WERCC with uncertainty bands are calculated. The proposed methodology is then used to evaluate the WERCC in the Zarrinehrud river basin in Iran for a given historical period (1991-2012), and the period of 2020 to 2049 under different climate change scenarios. The results of this analysis demonstrate the inadequacy of the WERCC during the historical period and indicate that the continuation of the existing trend (base scenario, MSC0) will cause many environmental issues. Hence, several water and environmental resources management (WERM) scenarios are proposed to enhance the WERCC. These scenarios are evaluated using a multi-agent-multi-criteria decision-making method to identify the preferable WERM scenario (MSC12356). This scenario, which encompasses various projects (e.g., development and enhancement of water transfer networks and upgrading cultivation methods), improves the average value of the WERCC by 26 %. The results of the proposed methodology are compared with those of a traditional decision-making method, which considers three criteria of average WERCC, the pressure-support index, and the implementation cost. The results demonstrate that the multi-agent-multi-criteria decision-making approach provides a more cost-effective management scenario, with 30 % less cost, leading to only 3 % less carrying capacity.",Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.,,The Science of The Total Environment,,,,2023-08-02,2023,2023-08-02,2023-12,902,,165986,Closed,Article,"Anamaghi, Sara; Behboudian, Massoud; Mahjouri, Najmeh; Kerachian, Reza","Anamaghi, Sara (Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran.); Behboudian, Massoud (Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, Stockholm, Sweden; School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.); Mahjouri, Najmeh (Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran. Electronic address: mahjouri@kntu.ac.ir.); Kerachian, Reza (School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.)","Mahjouri, Najmeh (K.N.Toosi University of Technology)","Anamaghi, Sara (K.N.Toosi University of Technology); Behboudian, Massoud (KTH Royal Institute of Technology; University of Tehran); Mahjouri, Najmeh (K.N.Toosi University of Technology); Kerachian, Reza (University of Tehran)",6,6,,,,https://app.dimensions.ai/details/publication/pub.1162939482,41 Environmental Sciences; 48 Law and Legal Studies; 4802 Environmental and Resources Law,
3814,pub.1084528326,10.1016/j.jenvman.2017.03.096,28391097,,Drawdown flushing of a hydroelectric reservoir on the Rhône River: Impacts on the fish community and implications for the sediment management,"Sediment flushings of hydropower reservoirs are commonly performed to maintain water resource uses and ecosystem services, but may have strong impacts on fish communities. Despite the worldwide scope of this issue, very few studies report quantitative in situ evaluations of these impacts. In June 2012, the drawdown flushing of the Verbois reservoir (Rhône River) was performed and subsequent impacts on the fish community were assessed, both inside the reservoir (fish densities by hydroacoustic surveys) and downstream (short-term movement and survival of radio tracked adult fish). Results showed that after the flushing fish acoustic density decreased by 57% in the reservoir, and no recolonization process was observed over the following 16 months. Downstream of the dam, the global apparent survival of fish to the flushing was estimated at 74%, but differed between species. The nine-year delay from the previous flushing and thus the amount of sediments to remove were too stressful for the low-resilience fish community of the Rhône River. Alternative flushing schedules are discussed to reduce these impacts.","AcknowledgementsThis research was financially supported by the Services Industriels de Genève (SIG, Geneva, Switzerland SP/IRPO/SDF/crz-(40309386-40311466)). The authors wish to thank the SIG staff for their kind support throughout the study, especially Mrs. Carole Nawratil de Bono, Mr. Seydina Diouf, and Mr. Jean-Luc Zanasco. They also express their gratitude to the staff of “Direction Générale Nature et Paysage” of Canton Geneva (cantonal department for nature and lansdscape, Switzerland) staff for study approval, as well as their help in fish catching, especially Mr. Gottlieb Dändliker and Mr. Dimitri Jaquet. People from hepia Geneva (Jane O&#x27;Rourke, Sylvain Ingold, Anne-Sophie Châtaignier, Benjamin Bergerot) and the INRA staff (Pascal Chifflet, Michel Colon, and Jean-Christophe Hustache) are also gratefully acknowledged for their invaluable assistance in the field. Finally, the authors deeply thank Jane O&#x27;Rourke for her intensive English-language reviewing of the manuscript.",,Journal of Environmental Management,,,Animals; Ecosystem; Fishes; Rivers; Water Movements; Water Resources,2017-04-06,2017,2017-04-06,2017-07,197,,239-249,Closed,Article,"Grimardias, David; Guillard, Jean; Cattanéo, Franck","Grimardias, David (University of Applied Sciences and Arts Western Switzerland – Land, Nature, Environment Institute, Hepia Geneva, Route de Presinge 150, CH-1254, Jussy, Switzerland); Guillard, Jean (CARRTEL, INRA – Université de Savoie Mont Blanc, 75 Avenue de Corzent, 74203, Thonon-les-Bains, France); Cattanéo, Franck (University of Applied Sciences and Arts Western Switzerland – Land, Nature, Environment Institute, Hepia Geneva, Route de Presinge 150, CH-1254, Jussy, Switzerland)","Grimardias, David (University of Applied Sciences and Arts Western Switzerland)","Grimardias, David (University of Applied Sciences and Arts Western Switzerland); Guillard, Jean (CARRTEL, INRA – Université de Savoie Mont Blanc, 75 Avenue de Corzent, 74203, Thonon-les-Bains, France); Cattanéo, Franck (University of Applied Sciences and Arts Western Switzerland)",33,14,0.8,6.5,,https://app.dimensions.ai/details/publication/pub.1084528326,"30 Agricultural, Veterinary and Food Sciences; 3005 Fisheries Sciences; 41 Environmental Sciences",7 Affordable and Clean Energy
3812,pub.1138660196,10.1007/s11356-021-14332-4,34097218,,Climate-resilient strategies for sustainable management of water resources and agriculture,"Warming of the earth is considered as the major adverse effect of climate change along with other abnormalities such as non-availability of water resources, decreased agriculture production, food security, rise in seawater level, glaciers melting, and loss of biodiversity. Over the years, decreased agriculture production and water quality degradation have been observed due to climatic abnormalities. Crop production is highly sensitive to climate. It gets affected by long-term trends in average rainfall and temperature, annual climate variations, shocks during different stages of growth, and extreme weather events. Globally, the areas sown for the major crops of barley, maize, rice, sorghum, soya bean, and wheat have all seen an increase in the percentage of area affected by drought as defined in terms of the Palmer Drought Severity Index since the 1960s, from approximately 5–10% to approximately 15–25%. Increase in temperature will be observed in terms of wheat yield losses − 5.5 ± 4.4% per degree Celsius for the United States, − 9.1 ± 5.4% per degree Celsius for India, and − 7.8 ± 6.3% per degree Celsius for Russia as these countries are more vulnerable to temperature increase. Water management through increasing storage capacity (or rainwater storage), fair policies for water supply and distribution, river health, and watershed management can reduce the negative effects of climate change on water resource availability. Similarly, climate change-resistant crop development, water management in irrigation, adapting climate-smart agriculture approach, and promoting indigenous knowledge can ensure the food security via increasing agricultural yield. Technical intervention can equip the farmers with the scientific analyses of the climatic parameters required for the sustainable agriculture management. These technologies may include application of software, nutrient management, water management practices, instruments for temperature measurement and soil health analysis etc. Holistic efforts of the stakeholders (farmers, local society, academia, scientists, policy makers, NGOs etc.) can provide better results to reduce the risks of climate change on agriculture and water resources as discussed in this paper.Graphical abstract",,"Dr. Rajni Dhyani is thankful to Council of Scientific and Industrial Research, India (CSIR) for providing her financial assistance through CSIR-Research Associate fellowship.",Environmental Science and Pollution Research,,,"Agriculture; Climate Change; Crops, Agricultural; Water Resources; Water Supply",2021-06-07,2021,2021-06-07,2021-08,28,31,41576-41595,Closed,Article,"Srivastav, Arun Lal; Dhyani, Rajni; Ranjan, Manish; Madhav, Sughosh; Sillanpää, Mika","Srivastav, Arun Lal (Chitkara University School of Engineering and Technology, Chitkara University, Solan, Himachal Pradesh, India); Dhyani, Rajni (CSIR-Central Road Research Institute (CSIR-CRRI), New Delhi, India); Ranjan, Manish (Department of Civil Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India); Madhav, Sughosh (School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India); Sillanpää, Mika (Institute of Research and Development, Duy Tan University, 550000, Da Nang, Vietnam; Faculty of Environment and Chemical Engineering, Duy Tan University, 550000, Da Nang, Vietnam; Department of Chemical Engineering, School of Mining, Metallurgy and Chemical Engineering, University of Johannesburg, Doornfontein, 2028, Johannesburg, South Africa)","Srivastav, Arun Lal (Chitkara University); Sillanpää, Mika (Duy Tan University; Duy Tan University; University of Johannesburg)","Srivastav, Arun Lal (Chitkara University); Dhyani, Rajni (Central Road Research Institute); Ranjan, Manish (Indian Institute of Technology Varanasi); Madhav, Sughosh (Jawaharlal Nehru University); Sillanpää, Mika (Duy Tan University; Duy Tan University; University of Johannesburg)",87,83,3.0,30.34,,https://app.dimensions.ai/details/publication/pub.1138660196,"30 Agricultural, Veterinary and Food Sciences; 3002 Agriculture, Land and Farm Management; 3004 Crop and Pasture Production; 37 Earth Sciences; 3701 Atmospheric Sciences",13 Climate Action; 2 Zero Hunger
3812,pub.1035521099,10.1016/j.scitotenv.2016.03.247,27110981,,"Prevalence of Cryptosporidium and Giardia in the water resources of the Kuang River catchment, Northern Thailand","A catchment-scale investigation of the prevalence of Cryptosporidium and Giardia in the Kuang River Basin was carried out during the dry and rainy seasons. Water samples were collected from the Kuang River and its tributaries as well as a major irrigation canal at the study site. We also investigated the prevalence of gastrointestinal parasitic infection among dairy and beef cattle hosts. Cryptosporidium and/or Giardia were detected in all the rivers considered for this study, reflecting their ubiquity within the Kuang River Basin. The high prevalence of Cryptosporidium/Giardia in the upper Kuang River and Lai River is of a particular concern as both drain into the Mae Kuang Reservoir, a vital source of drinking-water to many local towns and villages at the research area. We did not, however, detected neither Cryptosporidium nor Giardia were in the irrigation canal. The frequency of Cryptosporidium/Giardia detection nearly doubled during the rainy season compared to the dry season, highlighting the importance of water as an agent of transport. In addition to the overland transport of these protozoa from their land sources (e.g. cattle manure, cess pits), Cryptosporidium/Giardia may also be re-suspended from the streambeds (a potentially important repository) into the water column of rivers during storm events. Faecal samples from dairy and beef cattle showed high infection rates from various intestinal parasites - 97% and 94%, respectively. However, Cryptosporidium and Giardia were only detected in beef cattle. The difference in management style between beef (freeranging) and dairy cattle (confined) may account for this disparity. Finally, phylogenetic analyses revealed that the Cryptosporidium/Giardia-positive samples contained C. ryanae (non-zoonotic) as well as Giardia intestinalis assemblages B (zoonotic) and E (non-zoonotic). With only basic water treatment facilities afforded to them, the communities of the rural area relying on these water supplies are highly at risk to Cryptosporidium/Giardia infections.","AcknowledgementsThis project was partially funded by grant R-109-000-112-134 from the Ministry of Education, National University of Singapore. Gavin Smith and Ian Mendenhall were supported by the Duke-NUS Signature Research Program funded by the Agency of Science, Technology and Research, Singapore, and the Ministry of Health, Singapore. We wish to thank J. Jayakumar for assistance in curating the datasets used for phylogenetic analysis.",,The Science of The Total Environment,,,Cryptosporidium; Environmental Monitoring; Giardia; Rivers; Thailand; Water Resources; Water Supply,2016-04-22,2016,2016-04-22,2016-08,562,,701-713,Closed,Article,"Chuah, C Joon; Mukhaidin, Nabila; Choy, Seow Huey; Smith, Gavin J D; Mendenhall, Ian H; Lim, Yvonne A L; Ziegler, Alan D","Chuah, C Joon (Department of Geography, Faculty of Arts and Social Science, National University of Singapore, Singapore; Institute of Water Policy, National University of Singapore, Singapore.); Mukhaidin, Nabila (Department of Geography, Faculty of Arts and Social Science, National University of Singapore, Singapore.); Choy, Seow Huey (Department of Parasitology, Faculty of Medicine, Universiti Malaya, Malaysia.); Smith, Gavin J D (Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.); Mendenhall, Ian H (Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.); Lim, Yvonne A L (Department of Parasitology, Faculty of Medicine, Universiti Malaya, Malaysia.); Ziegler, Alan D (Department of Geography, Faculty of Arts and Social Science, National University of Singapore, Singapore.)","Chuah, C Joon (National University of Singapore)","Chuah, C Joon (National University of Singapore); Mukhaidin, Nabila (National University of Singapore); Choy, Seow Huey (University of Malaya); Smith, Gavin J D (Duke-NUS Medical School); Mendenhall, Ian H (Duke-NUS Medical School); Lim, Yvonne A L (University of Malaya); Ziegler, Alan D (National University of Singapore)",28,11,1.29,7.78,,https://app.dimensions.ai/details/publication/pub.1035521099,"30 Agricultural, Veterinary and Food Sciences; 3009 Veterinary Sciences; 37 Earth Sciences",