A Channel-lake Joint Flood Control And Drainage Operation Model Based On Particle Swarm Optimization Improved By Cultural Framework

In recent years,the waterlogging disasters in the city are becoming increasingly serious as a result of the global warming,the accelerating urbanization and the fact that the urban flood control and drainage system has rarely kept pace with the development of the city.Therefore,based on the existing engineering facilities of the urban flood control and drainage system,it is of great significance to study on the optimal operation of channel,lake,sluice and pump groups to decrease the risk of the urban waterlogging.This paper establishes a channel-lake joint flood control and drainage operation model,and proposes a Cooperative Multi-swarm Particle Swarm Optimization Based on Cultural Framework for model solving.The model is applied to the Donghu-Shahu lake system in Wuhan to provide theoretical basis for the optimal operation of urban flood control and drainage system.The main research contents of this paper are as follows:This paper expounds the status quo of urban waterlogging in China,analyzes the causes of urban waterlogging problems,and summarizes present domestic and international research progress from three aspects: theories and technologies of urban stormwater management,urban rainfall-runoff models,urban flood control and drainage system and its optimal operation methods.A channel-lake joint flood control and drainage operation model was constructed,of which consists channel-lake joint flood control and drainage simulation model and optimal operation model.The simulation model consists of five modules: rainfall-runoff modelling,lake simulation,sluice drainage,channel flow evolution,and pump drainage.The simulation model simulates the process of runoff discharging from the urban river network.The optimal operation model aims to optimize the opening of the gates with the minimum use volume of the lakes under the two strategies,and fully utilizes the existing storage and discharge function of the urban flood control and drainage system.Because the traditional method has poor performance in handling the solution problem of multivariable,multi-constrained and nonlinear optimal operation model,this paper chooses the Particle Swarm Optimization(PSO)as the solution method.To overcome the shortcomings of PSO that solutions easily fall into local extremum,this algorithm is combined with Cultural Framework to improve belief space,population space search strategy and communication protocol,and a Cooperative Multi-swarm Particle Swarm Optimization Based on Cultural Framework is proposed.Different types of test functions verified the performance of the Cooperative Multi-swarm Particle Swarm Optimization Based on Cultural Framework.The results show that the proposed algorithm has good performance in many aspects such as convergence accuracy,convergence speed,stability and search ability.The simulation model of flood control and drainage was established based on the Donghu-Shahu lake system in Wuhan.The applicability of the simulation model was verified based on the “7.7 rainstorm” in Wuhan,2013.Combined with the optimal operation model,the operation model of flood control and drainage of Donghu-Shahu lake system is constructed.Finally,the model calculation results under the conventional operation method and optimal operation method are elaboratively compared and analyzed,and the effectiveness of the channel-lake joint flood control and drainage operation model proposed by this paper is verified by the results.