Research on Optimal Allocation of Water Resources in Yangquan City Based on Improved Particle Swarm Optimization
The shortage of water resources in Yangquan City has become an important factor restricting the local social and economic development.In order to ensure the development of local social economy,it is necessary to consider the total wa-ter resources of Yangquan City,the water supply mode of each water source and the water demand mode of each water user.A multi-objective water resource optimal allocation model was established with the objectives of minimum total water short-age,minimum COD discharge and maximum net benefit of water supply in Yangquan City.In order to improve the accuracy and global optimization ability of PSO,the inertial weights and learning factors in PSO are linearly optimized and verified.The optimal allocation of water resources in Yangquan City,Shanxi Province is studied based on improved particle swarm optimization algorithm.The results are as follows.Firstly,the total water consumption and COD discharge under the gener-al scheme and the water-saving scheme do not exceed the constraint range.The net benefit of water supply under the water-saving scheme is 402.7 million yuan lower than that under the general scheme.The total water shortage and COD discharge are 6 636 480 m3 and 425.375 t lower than the general scheme,respectively.The water-saving scheme alleviates the water shortage in each administrative region and reduces the COD emission,reducing the pressure on the ecological environment.This shows that the optimal allocation scheme is reasonable,and can provide a solution and scientific basis for other water resources allocation schemes in areas with serious shortage of water resources.
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