MIKE HYDRO River model's performance in simulating rainfall-runoff for Upper Vaigai sub-basin, Southern India.

The impact of climate change on rainfall patterns and intensity necessitates an accurate estimation of runoff from rainfall to effectively manage water resources. This study utilized the MIKE HYDRO River software to evaluate rainfall-runoff in the upper Vaigai sub-basin. Input parameters, including rainfall, evaporation, and stream discharge data, were collected over a period of 16 years from 2000 to 2015. The auto-calibration capabilities of the software were employed to calibrate the model from 2000 to 2010, which was validated using data sets collected from 2011 to 2015. The optimal model and operating parameters were determined, and hydrographs were compared for simulated and observed runoff. The reliability and accuracy of the MIKE HYDRO River model were assessed using various goodness-of-fit indicators, including the coefficient of determination (R²), root-mean-square error (RMSE), and index of agreement. The R² values demonstrated a strong correlation of 0.79 and 0.87 with the observed and simulated runoff for the calibration and validation period, respectively. The attainment of an RMSE of 4.05 m³/s and 2.20 m³/s and an index of agreement of 0.93 and 0.96 during the calibration and validation period, respectively, confirmed the model's excellent performance. The results of the rainfall-runoff simulation indicate that the MIKE HYDRO River tool is suitable for rainfall-runoff studies and integrated water supply management in the upper Vaigai. [ABSTRACT FROM AUTHOR]