The Shimsha Catchment employed the Semi-distributed SWAT model for runoff prediction, which considered geographical features, surface vegetation, and soil characteristics. The catchment was subdivided into six sub-watersheds based on geography, natural drainage patterns, and desi...
Open access
Research Article10.9734/jgeesi/2024/v28i8794
The optimization model has been developed using linear programming by considering the stochastic nature of the inflows to the reservoir and solved for different storage water availability levels in reservoir viz., 60 per cent, 70per cent, 80per cent, 90per cent and 100 per cent t...
Open access
Research Article10.9734/ijecc/2024/v14i74309
Multisite calibration & validation of model reduces the uncertainty present in the model parameters and improve the SWAT model output. In the present study, an effort was made to set up SWAT model along with multisite calibration and validation for Kishna upper basin of India...
Open access
Research Article10.9734/jgeesi/2024/v28i11842