BibTex Citation Data :
@article{geoplanning13575, author = {Hafiz Khan and Syed Khalil and Syed Kazmi and Mudassar Umar and Atif Shahzad and Suhaib Farhan}, title = {IDENTIFICATION OF RIVER BANK EROSION AND INUNDATION HAZARD ZONES USING GEOSPATIAL TECHNIQUES – A CASE STUDY OF INDUS RIVER NEAR LAYYAH DISTRICT, PUNJAB, PAKISTAN}, journal = {Geoplanning: Journal of Geomatics and Planning}, volume = {4}, number = {2}, year = {2017}, keywords = {geospatial; Indus River; river bank erosion; inundation; Layyah District; river morphology}, abstract = { This study aims to assess an area of about 70 km along Indus River in Layyah and Muzaffargarh districts of Punjab, Pakistan, which is highly vulnerable to erosion. Actual erosion and deposition has been quantified for each of left and right bank of river over a period of 2002 to 2016. Open source data product of Landsat was used to identify the spatio-temporal changes of Indus River. A model has been developed that extracted the water from satellite images using NDWI. River path of Indus has been mapped for 2002, 2009 and 2016 during high and low flow seasons which not only signifies the channel shifting and river morphology, but also highlights the zones where water over run into land. It has been observed from the study that river is shifting more towards its left bank and the area is highly vulnerable to erosion. In 2009, river eroded 24.3 km 2 from right bank while it eroded 100 km 2 from left bank. Similarly, in 2016, an erosion of 12.5 km 2 and 71.9 km 2 from right and left bank, respectively, was occurred. The river inundation eroded the major agricultural land and affected the life of people and infrastructure. Results provided the latest and reliable information on the dynamics of Indus River in the study area which can be utilized to develop erosion control program and taking practical measures to ensure the safety of life and infrastructure. }, issn = {2355-6544}, pages = {121--130} doi = {10.14710/geoplanning.4.2.121-130}, url = {https://ejournal.undip.ac.id/index.php/geoplanning/article/view/13575} }
Refworks Citation Data :
This study aims to assess an area of about 70 km along Indus River in Layyah and Muzaffargarh districts of Punjab, Pakistan, which is highly vulnerable to erosion. Actual erosion and deposition has been quantified for each of left and right bank of river over a period of 2002 to 2016. Open source data product of Landsat was used to identify the spatio-temporal changes of Indus River. A model has been developed that extracted the water from satellite images using NDWI. River path of Indus has been mapped for 2002, 2009 and 2016 during high and low flow seasons which not only signifies the channel shifting and river morphology, but also highlights the zones where water over run into land. It has been observed from the study that river is shifting more towards its left bank and the area is highly vulnerable to erosion. In 2009, river eroded 24.3 km2 from right bank while it eroded 100 km2 from left bank. Similarly, in 2016, an erosion of 12.5 km2 and 71.9 km2 from right and left bank, respectively, was occurred. The river inundation eroded the major agricultural land and affected the life of people and infrastructure. Results provided the latest and reliable information on the dynamics of Indus River in the study area which can be utilized to develop erosion control program and taking practical measures to ensure the safety of life and infrastructure.
Article Metrics:
Ali, K. F., & De Boer, D. H. (2010). Spatially distributed erosion and sediment yield modeling in the upper Indus River basin. Water Resources Research, 46(8), 1–16. [https://doi.org/10.1029/2009WR008762">Crossref]
Chanson, H. (2014). Embankment overtopping protection systems. Acta Geotechnica, 10(3), 305–318. [https://doi.org/10.1007/s11440-014-0362-8">Crossref]
Clift, P. D. (2002). A brief history of the Indus River. Geological Society, London, Special Publications, 195(1), 237–258. [https://doi.org/10.1144/GSL.SP.2002.195.01.13">Crossref]
Florsheim, J. L., Mount, J. F., & Chin, A. (2008). Bank Erosion as a Desirable Attribute of Rivers. BioScience, 58(6), 519. [https://doi.org/10.1641/B580608">Crossref]
Fuller, I. C., Large, A. R. G., & Milan, D. J. (2003). Quantifying channel development and sediment transfer following chute cutoff in a wandering gravel-bed river. Geomorphology, 54(3), 307–323. [https://doi.org/10.1016/S0169-555X(02)00374-4">Crossref]
Khan, A. A., & Ali, S. B. (2003). Effects of erosion on Indus River bio-diversity in Pakistan. Pakistan Journal of Biological Sciences, 6(12), 1035–1040. [https://doi.org/10.3923/pjbs.2003.1035.1040">Crossref]
Khan, B., Iqbal, M. J., & Yosufzai, M. A. K. (2011). Flood risk assessment of river Indus of Pakistan. Arabian Journal of Geosciences, 4(1–2), 115–122. [https://doi.org/10.1007/s12517-009-0110-9">Crossref]
Kotoky, P., Bezbaruah, D., Baruah, J., & Sarma, J. N. (2005). Nature of bank erosion along the Brahmaputra river channel, Assam, India. Current Science, 88(4), 634–640.
Kummu, M., Lu, X. X., Rasphone, A., Sarkkula, J., & Koponen, J. (2008). Riverbank changes along the Mekong River: Remote sensing detection in the Vientiane–Nong Khai area. Quaternary International, 186(1), 100–112. [https://doi.org/10.1016/j.quaint.2007.10.015">Crossref]
Lawler, D. M. (1993). The measurement of river bank erosion and lateral channel change: A review. Earth Surface Processes and Landforms, 18(9), 777–821. [https://doi.org/10.1002/esp.3290180905">Crossref]
Li, L., Lu, X., & Chen, Z. (2007). River channel change during the last 50 years in the middle Yangtze River, the Jianli reach. Geomorphology, 85(3), 185–196. [https://doi.org/10.1016/j.geomorph.2006.03.035">Crossref]
McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425–1432. [https://doi.org/10.1080/01431169608948714">Crossref]
Muller, E., Decamps, H., & Dobson, M. K. (1993). Contribution of Space Remote-Sensing To River Studies. Freshwater Biology, 29(2), 301–312. [https://doi.org/10.1111/j.1365-2427.1993.tb00766.x">Crossref]
Pati, J. K., Lal, J., Prakash, K., & Bhusan, R. (2008). Spatio-temporal shift of western bank of the Ganga River, Allahabad city and its implications. Journal of the Indian Society of Remote Sensing, 36(3), 289–297. [https://doi.org/10.1007/s12524-008-0030-2">Crossref]
Rinaldi, M. (2003). Recent channel adjustments in alluvial rivers of Tuscany, central Italy. Earth Surface Processes and Landforms, 28(6), 587–608. [https://doi.org/10.1002/esp.464">Crossref]
Sarkar, A. (2012). RS-GIS Based Assessment of River Dynamics of Brahmaputra River in India. Journal of Water Resource and Protection, 4(2), 63–72. [https://doi.org/10.4236/jwarp.2012.42008">Crossref]
Searle, M. P., & Owen, L. A. (1999). Indus River: Biodiversity, Resources, Humankind. In P. S. Meadows & A. Meadows (Eds.), the environmental impact of the River Indus on the coastal and offshore zones of the Arabian Sea and the North-West Indian Ocean (pp. 210–230). Karachi: Oxford University Press, Karachi, Pakistan.
Surian, N. (1999). Channel changes due to river regulation: the case of the Piave River, Italy. Earth Surface Processes and Landforms, 24(12), 1135–1151. [https://doi.org/10.1002/(SICI)1096-9837(199911)24:12%3c1135::AID-ESP40%3e3.0.CO;2-F">Crossref]
Thakur, P. K., Laha, C., & Aggarwal, S. P. (2012). River bank erosion hazard study of river Ganga, upstream of Farakka barrage using remote sensing and GIS. Natural Hazards, 61(3), 967–987. [https://doi.org/10.1007/s11069-011-9944-z">Crossref]
Winterbottom, S. J., & Gilvear, D. J. (2000). A GIS-based approach to mapping probabilities of river bank erosion: regulated River Tummel, Scotland. Regulated Rivers: Research & Management, 16(2), 127–140. [https://doi.org/10.1002/(SICI)1099-1646(200003/04)16:2%3c127::AID-RRR573%3e3.0.CO;2-Q">Crossref]
Wolpert, S. A. (1999). India. University of California Press. [https://books.google.com.pk/books?id=nHnOERqf-MQC">Googlebook]
Yang, X. (1996). Satellite Monitoring of the Dynamic Environmental Change of the Active Yellow River Delta, China. International Archives of Photogrammetry and Remote Sensing, 31, 801–806.
Yang, X., Damen, M. C., & van Zuidam, R. A. (1999). Satellite remote sensing and GIS for the analysis of channel migration changes in the active Yellow River Delta, China. International Journal of Applied Earth Observation and Geoinformation, 1(2), 146–157. [https://doi.org/10.1016/S0303-2434(99)85007-7">Crossref]
Last update:
Farmer’s Perception of and Factors Influencing Agroforestry Practices in the Indus River Basin, Pakistan
Flood hazards and livelihood vulnerability of flood-prone farm-dependent Bait households in Punjab, Pakistan
Mapping flood extend and its impact on land use/land cover and settlements variations: a case study of Layyah District, Punjab, Pakistan
Last update: 2024-11-03 17:10:50