In this method, Ȝ, S0, and ȕ were optimized. Root mean square error (RMSE), expressed by formula 23, was assumed as a goal function, and the optimization involved minimization of this function value. Due to difficul- ties in calibrating the parameters of SME model in uncontrolled ...
SHETRAN, requires more number of parameters to run the model while NRCS-CN method involves the use of a simple empirical formula and readily available tables and curves. Both model used Land use map and soil data as main input. Validation was done using measured runoff recorded in discharge ...
SCS-CN methodGISRainfall frequencyPredicting the amount of surface runoff reaching crossing point of a watershed stream with a highway is critical for accurate design of safe hydraulic structures and flood protection. Sharqu ElNeil locality of Khartoum, Sudan, has been subject to repeated flash ...
The fit of a specific formula was largely influenced by the size of the catchment, as well as the number and type of parameters considered during model calibration. The method based on catchment width demonstrated the best fit for all catchments, with R2 ranging from 0.77 to 0.78 and RMSE ...