Prediction of flood hydrograph using the modified Cunge-Muskingum method in an ungauged basin: a case study in the Kulsi river basin, India

A combined hydrological and hydraulic model for flood prediction in Puah river subsystem area, Palembang city

“…Given the complex nature of non-prismatic channels. Research conducted by Bharali and Misra [14] 2021, in the Kulsi river valley, India. Model performance was tested by root mean square error (RMSE), with a peak flow of 50.34 m3/s, peak flow error (39.73%), peak flow time error (-3.44%), total volume error (7.36%), relative error (7.36%), mean absolute error (33.5%), correlation coefficient (0.785), coefficient of efficiency (0.59) and Kling-Gupta efficiency (0.66).…”

“…To calculate the effective rain loss used the SCS-CN method [14], from the rainfall Hyetograph of the 25 year return period. Cumulative rain loss was calculated using the following Equation 6:…”