Runoff simulation with HEC-HMS model and sensitivity analysis of flood hydrograph trending parameters using DE differential evolution algorithm (case study: Merck River catchment)

Document Type : Research Paper

Authors

Department of Water Engineering, Faculty of Agriculture, Razi University of Kermanshah, Iran

Abstract

Simulation of runoff and hydrograph production is widely used in the analysis of basin behavior against precipitation, calculation of flood volume and its peak , amount of casualties and the possibility of designing the dimensions of structures. HEC-HMS is one of the most common simulator models. In this study, with the aim of analyzing the sensitivity of flood hydrograph trending parameters in the Merck River catchment, At first build by the HEC-GHMS plugin in the ARC GIS and the DEM map of the area, physiographic characteristics of the basin and called in the HEC-HMS model then by entering the three flood event data and its corresponding precipitation, computational hydrograph is created and to calibrate, at first by trial and error, the model was placed in a suitable range which can be optimized using differential evolution algorithm. In optimizing the target function to make the average at least of the sum of squares of error , the K and X Muskingum parameters, which are particularly sensitive to hydrograph production, placed the model optimization and its performance in the excellent category so that for the event of November 2015 floods and a stop of 50 iteration (NSE=0.871, PBias=25.52, RMSE=0.4, NRMSE=2.63), in the event of March 2016 floods (NSE=0.731, PBias=28.82, RMSE=0.5, NRMSE=1.01) and in February 2020 (NSE=0.834, PBias=7.96, RMSE=0.4, NRMSE=0.95) It showed that the excellent performance of the model after optimization of the Muskingum coefficients by differential evolution algorithm (DE).

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Iranian Journal of Soil and Water Research

Articles in Press, Accepted Manuscript
Available Online from 03 April 2024

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