000032355 001__ 32355
000032355 041__ $$aEnglish
000032355 100__ $$aKumar, S.
000032355 245__ $$aModelling Spatially Distributed Surface Runoff Generation Using Swat-Vsa: A Case Study in a Watershed of the North-West Himalayan Landscape
000032355 260__ $$c2016
000032355 300__ $$a202
000032355 520__ $$ = 3.88 $$ = 3.88 , Nash–Sutcliffe coefficient of efficiency (NSE) $$ = 0.75 $$ = 0.75 ] than the SWAT (RMSE $$ = 4.12 $$ = 4.12 , NSE $$ = 0.72 $$ = 0.72 ) model. Paddy (rice) cropland in the watershed generated highest surface runoff. Integration of topographic wetness index derived from DEM with SWAT model helped in estimating spatially distributed surface runoff generation in the watershed. Study revealed that saturation excess as the dominant runoff process in the Himalayan landscape and SWAT-VSA provide more representative results than the SWAT based on infiltration excess.$$aSoil and Water Assessment Tool (SWAT) and Soil and Water Assessment Tool-Variable Source Area (SWAT-VSA) models were employed to predict surface runoff generation in a watershed of the Himalayan landscape in GIS environment. Both the models differed in term of defining hydrological response units (HRUs) that serves as basis in assigning curve number for surface runoff estimation. HRUs in SWAT was derived by combination of hydrological soil groups based on soil types and land use/land cover (LULC) whereas in SWAT-VSA, it was based on soil wetness index derived from digital elevation model (DEM) and LULC. Both models were calibrated to predict surface runoff at watershed scale. SWAT-VSA predicted quite well [Root Mean Square Error (RMSE) 
000032355 700__ $$aSingh, A.
000032355 700__ $$aShrestha, D. P.
000032355 773__ $$pModeling Earth Systems and Environment
000032355 773__ $$v2 (4)
000032355 773__ $$a10.1007/s40808-016-0249-9
000032355 8564_ $$uhttp://dx.doi.org/10.1007/s40808-016-0249-9$$yExternal link (open access)
000032355 980__ $$aARTICLE