Abstract
Upper Sind River basin is one of the important river basins for agricultural dominant activities in India. Due to the impacts of anthropogenic activities and climate change Upper Sind river basin facing water scarcity. A Semi-distributed model SWAT was selected for effectively manages the water resources. Model calibration and uncertainty analysis were performed with Sequential Uncertainty Fitting of SWAT Calibration and Uncertainty Programme. Results showed that pfactor was 0.73 and r-factor was 0.42 in calibration period (1992-2000) while pfactor was 0.42 and r-factor was 0.36 in validation period (2001-2005). When values of p-factor and r-factor are accepted, further goodness of fit quantified by the coefficient of determination and Nash–Sutcliffe coefficient between observed and final best simulated data. Results indicated that R 2 was 0.82 and NS was 0.80 in calibration period, while R 2 was 0.96 and NS was 0.93 in validation period.
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