MODEL OF CLIMATE AND LAND-USE CHANGES IMPACT ON WATER SECURITY IN AMBON CITY, INDONESIA

*Roland Alexander Barkey  -  Research Center for Natural Heritage, Biodiversity and Climate Change, Hasanuddin University, Indonesia
Muh Faisal Mappiasse  -  Research Center for Natural Heritage, Biodiversity and Climate Change, Hasanuddin University, Indonesia
Munajat Nursaputra  -  Research Center for Natural Heritage, Biodiversity and Climate Change, Hasanuddin University, Indonesia
Received: 13 Jan 2017; Published: 8 Feb 2017.
Open Access License URL: http://creativecommons.org/licenses/by-nc-sa/4.0

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Abstract
Ambon City is the center of national activities in Maluku province, established under Presidential Decree 77 issued in 2014 about spatial planning of Maluku Islands. Ambon is a strategic region in terms of development in agriculture and fisheries sectors. Development of the region caused this area to be extremely vulnerable to the issues on water security. Seven watersheds which are Air Manis, Hutumury, Passo, Tulehu, Wae Batu Merah, Wae Lela and Wae Sikula affect the water system in Ambon City. Therefore, this study was conducted to determine the impact of climate and land use change on water availability in seven watersheds in Ambon City. The analysis was performed using a Soil and Water Assessment Tool (SWAT) Model in order to analyze climate changes on the period of 1987-1996 (past), of 2004-2013 (present) and climate projection on the period 2035s (future) and equally to analyze land use data in 1996 and 2014. The results of the research indicated that land use in the study area has changed since 1996 to 2014. Forest area decreased around 32.45%, while residential areas and agriculture land increased 56.01% and 19.80%, respectively. The results of SWAT model presented the water availability amount to 1,127,011,350 m3/year on the period of 1987-1996. During the period of 2004-2013, it has been reduced to 1,076,548,720 m3/year (around 4.48% decrease). The results of the prediction of future water availability in the period of 2035s estimated a decrease of water availability around 4.69% (1,026,086,090 m3/year). Land use and climate change have greatly contributed to the water availability in seven watersheds of Ambon City. Ambon City is in need of land use planning especially the application of spatial plan. The maintenance of forest area is indispensable. In built-up areas, it is essential to implement green space and water harvesting in order to secure water availability in the future.
Keywords: Climate Change; Land use Change; Water Security; Landuse Planning

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Section: Articles
Language: EN
In Vol 4, No 1 (2017)
Statistics: 2308 2913
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  1. Arnold, J. G., et al. (2013). Soil & Water Assessment Tool: Input/output documentation. Version 2012. Texas Water Resources Institute, TR-439, 650. Retrieved from http://swat.tamu.edu/media/69296/SWAT-IO-Documentation-2012.pdf">

  2. Asdak, C. (1995). Hydrology and watershed management. Yogyakarta: Gadjah Mada University Press.

  3. Banuwa, I. S. (2013). Erosi. Kencana Prenada Media Group. Jakarta.

  4. BSN. (2015). SNI 6728.1:2015-Penyusunan neraca spasial sumber daya alam. Jakarta. Retrieved from http://sisni.bsn.go.id/index.php/sni_main/sni/detail_sni/22945">

  5. Butt, A., et al. (2015). Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan. The Egyptian Journal of Remote Sensing and Space Science, 18(2), 251–259. [https://doi.org/10.1016/j.ejrs.2015.07.003">CrossRef]

  6. Chen, Y.-R., & Yu, B. (2015). Impact assessment of climatic and land-use changes on flood runoff in southeast Queensland. Hydrological Sciences Journal, 60(10), 1759–1769. [https://doi.org/10.1080/02626667.2014.945938">CrossRef]

  7. CSIRO. (2012). The impacts of climate change and urban development on future water security and adaptation options for Makassar City, Indonesia.

  8. Iqbal, M., et al. (2012). Anthropogenic impact on Landuse/Landcover in Dudhganga Watershed of Kashmir Valley, India. International Journal of Geomatics and Geosciences, 2(3), 902.

  9. Jacob, A. (2009). Alternatif pengelolaan lahan optimal untuk pelestarian sumber daya air di pulau Ambon. Bogor Agricultural University. http://repository.ipb.ac.id/handle/123456789/40577">  

  10. Khoi, D. N., & Suetsugi, T. (2014). The responses of hydrological processes and sediment yield to land-use and climate change in the Be River Catchment, Vietnam. Hydrological Processes, 28(3), 640–652. [https://doi.org/10.1002/hyp.9620">CrossRef]

  11. Lokollo, J. A. (2000). Analysis of Effect Spatial Plan Changes to the Water Balance: A Case Study of Ambon City, Maluku. Bogor Agricultural University.

  12. Memarian, H., Tajbakhsh, M., & Balasundram, S. K. (2013). Application of SWAT for impact assessment of land use/cover change and best management practices: a review. International Journal of Advancement in Earth and Environmental Sciences, 1(1), [https://doi.org/10.1016/j.jhydrol.2011.07.012">CrossRef]

  13. Niraula, R., Meixner, T., & Norman, L. M. (2015). Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes. Journal of Hydrology, 522, 439–451. [https://doi.org/10.1016/j.jhydrol.2015.01.007">CrossRef]  

  14. Olivera, F., et al. (2006). Arcgis-SWAT: A Geodata Model and GIS Interface For SWAT. Journal of the American Water Resources Association, 42(2), 295–309. [https://doi.org/10.1111/j.1752-1688.2006.tb03839.x">CrossRef]

  15. Pervez, M. S., & Henebry, G. M. (2015). Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River basin. Journal of Hydrology: Regional Studies, 3, 285–311. [https://doi.org/10.1016/j.ejrh.2014.09.003">CrossRef]  

  16. Putuhena, J. D. (2013). Watershed Management Dinamic Model in Sustainable Water Supply Efforts in Ambon Island Peninsula Leitimor. Bogor Agricultural University.

  17. Sarwuan, T., Beka, F. T., & Ogbole, A. (2016). Geographic Resource Monitoring and Assessment of Long-Term Land Cover Change. Journal of Scientific and Engineering Research, 3(3), 646–655.

  18. Schilling, K. E., et al. (2014). The potential for agricultural land use change to reduce flood risk in a large watershed. Hydrological Processes, 28(8), 3314–3325. [https://doi.org/10.1002/hyp.9865">CrossRef]  

  19. Zhang, Y., et al. (2016). Impact of Land Use on Frequency of Floods in Yongding River Basin, China. Water, 8(9), 401. [https://doi.org/10.3390/w8090401">CrossRef]


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