عنوان مقاله [English]
The optimization of the Muskingum method coefficients is important for increasing the accuracy of the method. One of the main problems of this method is the estimation of the outflow rate at the time of flood initiation, which is usually equal to the inflow rate at the same time. In this study, due to the uncertainty of the equilibrium of the outflow rate at the time of flood initiation with the inflow rate at the same time, using the Particle Swarm Optimization (PSO) algorithm, in addition to calculating the coefficients of the linear Muskingum method (X, K), the outflow value in The flood initiation time is optimized in proportion to the amount of inflow at the same time, and then calculated using the calculated coefficients and the entered outflow rate is utilized using a flow that is considered as flood observations to calculate the flood outflow Other related items can be used at the same hydrometric stations. The accuracy of this method has been increased using the proposed solution in this research.