Reservoir Flood Prediction Scheme Based on Liuxi River Model
China has experienced one of the most frequent flood disasters in the world.Accurate and reliable flood forecasting programs are key to responding to flood disasters.A reservoir basin in southern China has a subtropical monsoon climate,with more rain in spring,concentrated rainstorm in summer and typhoon in autumn.The floods at the dam site are mostly small to medium-sized floods,with typical characteristics of steep rise and slow decline of mountain floods.In order to explore the applicability of Liuxi River model in flood prediction of a certain reservoir,Liuxi River prediction model was established based on DEM,land use,and soil type data.A typical flood event was selected,and the parameters were optimized using particle swarm optimization algorithm.The accuracy of the model was verified by simulating other floods.
Liuxi River modelreservoirflood forecasttypical flood eventParticle Swarm Optimization
国家科技期刊平台
NSTL
万方数据
