Assessment of Rainfall-Runoff using HEC-HMS in Ravishankar Sagar Reservoir, Dhamtari, Chhattisgarh, India

Abstract

In various watersheds, a variety of hydrological models were employed to model runoff based on available rainfall, land use, and soil property data. Several scholars employ rainfall-runoff modelling with the HEC-HMS model to evaluate the watershed’s water potential. In this study, HEC-HMS was used to construct a rainfall-runoff model for the catchment of Ravishankar Sagar Reservoir. Daily rainfall and runoff data from the year 2003 to the year 2020 were used to develop the daily model. The hydrological parameters, LULC preparation, soil, and slope maps have all been analysed using ArcGIS to calculate the curve number entered into the HEC-HMS model. Statistical indices have been used to assess each model's performance, including the coefficient of determination (R2), Nash-Sutcliffe efficiency (NSE), percent bias (PBIAS), and RMSE-observations standard deviation (RMSE Std dev) have been used to assess the model's effectiveness. The daily modelling was done with the calibration values of R2 = 0.9159, NSE = 0.910, PBIAS= -8.31% and RMSE Std dev = 0.3, and the validation values of R2 =0.904, NSE = 0.835, PBIAS = -23.33% and RMSE Std dev = 0.4. The research successfully applies the HEC-HMS model to simulate runoff in the Ravishankar Sagar Reservoir catchment, producing reliable results validated through statistical analysis. The study provides a valuable framework for future hydrological studies and water resource management strategies. Further refinements, including climate change projections and uncertainty analysis, could enhance its applicability in sustainable reservoir operations.