Rainfall-Runoff Modelling using Mike11 Nam for SHER River Basin Model
Arpit Yadav1, H.L. Tiwari2, R.V. Galkate3
1Arpit Yadav, Department of Civil Engineering, M.A.N.I.T., Bhopal, M.P. India.
2H.L. Tiwari, Department of Civil Engineering, M.A.N.I.T., Bhopal, M.P. India.
3R.V. Galkate, Regional Centre, National Institute of Hydrology, Bhopal, M.P. India.

Manuscript received on 02 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript published on 30 May 2019 | PP: 844-852 | Volume-8 Issue-1, May 2019 | Retrieval Number: A9242058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The runoff generation process is highly complex, nonlinear, dynamic in nature, and affected by many interrelated physical factors. Accurate runoff estimation is carried out for effective management and development of water resources. In present study, MIKE 11NAM rainfall runoff(R-R) model were used to develop R–R relationship. The model was developed using discharge data observed for 07 years at the Belkhedi G/d site, Narmada basin, Madhya Pradesh. The NAM model was calibrated for the period 2009 to 2012 and validated for the period 2013 to 2015. The input data required by the model was precipitation, potential evapotranspiration and observed discharge. The reliability of MIKE 11 NAM was evaluated based on coefficient of determination (R2), Nash–Sutcliffe Efficiency Index (EI), sum of square error and root mean square error (RMSE). The coefficient of determination of model calibration and validation were observed to be 0.859 and 0.83 respectively. Efficiency Index during calibration and validation was found to be 73.7% and 67.5% respectively which is a good agreement. During sensitivity analysis model was found sensitive to the parameter like Lmax, CQOF, CKIF, CK12, and TOF, out of which CQOF and CK12 was found highly sensitive modelling. The NAM model was found to be efficient in the runoff simulation and the model can be further employed for the deeper hydrological studies of the basin.
Key words: MIKE11 NAM, Rainfall Runoff Modelling, Sher River Basin, Sensitivity Analysis, Calibration, Validation.

Scope of the Article: Software Analysis, Design and Modelling