Modelling Rainfall-Runoff Process of Kabul River Basin in Afghanistan Using ArcSWAT Model

Kabul River Basin is the most populated and an important source of water resources in Afghanistan. The Soil Water Assessment Tool (SWAT) model, together with ArcGIS SWAT-CUP, employed to predict runoff basin. Nine years meteorological hydrological data are study. DEM, soil cover, land use/cover downloaded from available global database. based classification, use/cover, elevation, drainage, slope distribution maps basin generated. 18 different stations 7 obtained Ministry Energy divided into 48 sub-basins a total number 770 response units (HRUs). sensitivity analysis results revealed that flow characteristics KRB highly influenced by groundwater snowmelt. model calibrated using 2010 2014 validated employing 2015 2017 at seven stations. SWAT-CUP successfully used calibrate for predicting monthly daily runoffs. calibrations validations achieved, on average, correlation coefficient (R) 0.78 (for flows) 0.82 flows), respectively. Total yield estimated be 432.9 mm/year, corresponding 31 176 Mm3/year, hardly meeting demand 26 512 Mm3/year