International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)

IJTEEE >> Volume 3 - Issue 11, November 2015 Edition

International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289

Impact Of Land Use Land Cover Change On Stream Flow And Sediment Yield: A Case Study Of Gilgel Abay Watershed, Lake Tana Sub-Basin, Ethiopia

[Full Text]



Tesfa Gebrie Andualem, Bogale Gebremariam



Keywords: Gilgel Abay watershed, land use change, stream flow, sediment yield, SWAT, ERDAS Imagine, BMP



ABSTRACT: Gilgel Abay watershed is densely populated causing various effects on resource bases like deforestation, expansion of residential area, and agricultural land. The watershed is also facing high erosion by the effects of intense rainfall of the watershed, which aggravates the land cover change of the watershed. This study was designed at application of SWAT for the assessment of impacts of land use land cover change and best sediment management practices that are related to hydrology/stream flow and sediment yield of the watershed. The land use land cover change analyses were performed using ERDAS Imagine 2014 that was used for further analysis of SWAT. Land use land cover changes for three different years of 1986, 2000 and 2011 land use scenarios with different management practices were used for estimation of stream flow and sediment yield. During the study period most parts of the grassland and shrub land were changed to cultivated land. An increase of cultivated land by 33.79% over 25 years period (1986 – 2011) resulted an increase of stream flow and sediment yield by 5.87m3/s and 62.78t/km2 respectively. The Nash Sutcliff efficiency, coefficient of determination (R2) and RSR were used for evaluating the model performance. Spatial variability of sediment were also done using the validated sediment yield results of 2011 land use on Arc GIS. Hence, for the critical sub- watersheds the design and development of best management practices were performed. Three BMPs (best sediment management scenarios) S1 (filter strip), S2 (stone bund) and S3 (reforestation) were considered in this study. The results has showed a decrease of sedimentation by 24.73%, 21.36% and 36.18% sediment yield reductions implementing S1, S2 and S3 respectively. Therefore practicing S3 for Gilgel Abay watershed should be implemented and encouraged for efficient sediment reductions.



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