TY - JOUR
T1 - Modelling spatially distributed surface runoff generation using SWAT-VSA
T2 - a case study in a watershed of the north-west Himalayan landscape
AU - Kumar, S.
AU - Singh, A.
AU - Shrestha, D.P.
PY - 2016
Y1 - 2016
N2 - Soil 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)
AB - Soil 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)
KW - 2023 OA procedure
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2016/ref/shrestha_mod.pdf
U2 - 10.1007/s40808-016-0249-9
DO - 10.1007/s40808-016-0249-9
M3 - Article
SN - 2363-6203
VL - 2
JO - Modeling earth systems and environment
JF - Modeling earth systems and environment
IS - 4
M1 - 202
ER -