Indian Journal of Dryland Agricultural Research and Development · 2014 · 30 citations · 4 references
Natural ResourcesHydrologyWater Resources ManagementCatchment HydrologyHydrologic ModelingWater Resources EngineeringHydrological ModelingRainfall-runoff AnalysisRainfall-runoff ModelingRainfall-runoff ProcessesRainfall-runoff RelationshipsStreamflow PredictionCatchment Hydrology ModelingHydrological Model CalibrationHydrological Model ValidationPrecipitation-runoff ModelingRainfall-runoff SimulationRunoff EstimationRunoff ModelingStreamflow Calibration
Rainfall-runoff estimation for a catchment is of vital importance in most of the hydrologic analysis for water resources planning. This study envisages the rainfall-runoff modeling using MIKE 11 NAM model in Vinayakpur intercepted catchment in Chhattisgarh state. The model was calibrated using measured stream flow data for the period 2001 to 2004 and then validated from period 2005 to 2007. The calibration and validation procedures were carried out to provide a satisfactory estimation. The simulated runoff occurred maximum in August (1681.63 cumecs) and minimum in April (84.14 cumecs). The outputs of the calibrated model were used in water resources management model viz., MIKE basin as they normally work based on monthly flows with a large time horizon. The optimum values of nine NAM model parameters obtained during calibration procedure were used for simulation. The reliability of MIKE 11 NAM was evaluated based on Nash-Sutcliffe coefficient, correlation coefficient (r2) and root mean square error (RMSE). The R2 value of model calibration and validation were observed to be 0.79 and 0.75, respectively.
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Charalampos Doulgeris, Pantazis Georgiou, Dimitris Papamichail · Journal of Environmental Management · 2011 · 102 citations
Natural Resources, Hydrology, Water Resources Management +15