Application of PSO algorithm to calibrate the Xin’anjiang Hydrological Model

Based on the hydrological data sets used in China Hydrology Forecasting Test 1997,the influences of inertia weights,acceleration constant and swarm size on the performance of Particle Swarm Optimization algorithm in calibrating the Xin’anjiang Model was analyzed,and a group of optimal intervals was chosen.Then,a set of optimal Xin’anjiang Hydrological Model parameters were selected.Its efficiency in rainfall-runoff forecasting was also analyzed quantitatively.Additionally,the efficiency of POS algorithm was investigated.The stability analysis of POS algorithm was also carried out.The study result shows that the calibration efficiency of parameters of Xin’anjiang Model by using PSO algorithm is much higher than that of traditional method,and the stability is good.