Abstract
River basin planning and management are primarily based on the accurate assessment and prediction of catchment runoff. A continuous effort has been made by the various researchers to accurately assess the runoff generated from precipitation by developing various models. In this paper conceptual hydrological MIKE 11 NAM approach has been used for developing a runoff simulation model for Arpasub-basin of Seonath river basin in Chhattisgarh, India. NAM model has been calibrated and validated using discharge data at Kota gauging site on Arpa basin. The calibration and validation results show that this model is capable to define the rainfall runoff process of the basin and thus predicting daily runoff. The ability of the NAM model in rainfall runoff modelling of Arpa basin was assessed using Nash–Sutcliffe Efficiency Index (EI), coefficient of determination (R2) and Root Mean Square Error (RMSE). This study demonstrates the usefulness of the developed model for the runoff prediction in the Arpa basin which acts as a useful input for the integrated water resources development and management at the basin scale.
Highlights
While modeling rainfall runoff process of a basin it is to be noted that this process is highly nonlinear and time-varying
NAM model was used for rainfall runoff modeling in Arpa basin at Kota gauge discharge (G/d) site which has 1681.8 km[2] catchment area
The purpose of making water balance first priority of the calibration is because the water availability of the Arpa basin is considered for integrated water resources development and management
Summary
While modeling rainfall runoff process of a basin it is to be noted that this process is highly nonlinear and time-varying. Arpa basin; MIKE 11 NAM Model; Nash–Sutcliffe Efficiency Index; Rainfall Runoff Modeling; Root Mean Square Error; simulation. In this paper rainfall runoff process for Arpa basin up to Kota has been modelled using MIKE 11 NAM software.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.