JOURNAL ARTICLE

Rainfall-Runoff Modeling Using MIKE 11 NAM Model for Vinayakpur Intercepted Catchment, Chhattisgarh

Ashutosh SinghSurjeet SinghA.K. NemaGaurav SinghAnshu Gangwar

Year: 2014 Journal:   Indian Journal of Dryland Agricultural Research and Development Vol: 29 (2)Pages: 1-1

Abstract

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.

Keywords:
Surface runoff Drainage basin Hydrology (agriculture) Veterinary medicine Environmental science Biology Geography Ecology Geology Cartography Medicine Geotechnical engineering

Metrics

30
Cited By
0.65
FWCI (Field Weighted Citation Impact)
6
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change
Flood Risk Assessment and Management
Physical Sciences →  Environmental Science →  Global and Planetary Change

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