摘要
水资源短缺问题已成为制约社会经济发展的重要因素。以阳泉市为例,综合考虑水资源总量、各水源的供水方式与各用水户的需水方式3个因素,以缺水量总和最小、COD排放量最小、供水净效益最大为目标,建立多目标水资源优化配置模型;为提高粒子群算法求解结果的准确度与全局寻优能力,对算法中的惯性权重与学习因子进行线性优化,并进行了验证;基于改进粒子群算法对山西省阳泉市的水资源优化配置进行研究。结果显示:一般方案与节水方案下的总用水量与COD排放量均未超过约束范围;节水方案下的供水净效益比一般方案低4.027亿元,缺水量总和与COD排放量比一般方案分别低663.648万m^(3)、425.375 t;节水方案在缓解各行政区缺水现象的同时降低了COD的排放量,减少了生态环境压力,说明所得的优化配置方案较为合理,可为其他水资源严重短缺地区选取水资源配置方案提供科学依据。
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 water 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 shortage,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 general 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 6636480 m^(3) 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.
作者
李泽宇
赵喜萍
李剑平
李一平
LI Zeyu;ZHAO Xiping;LI Jianping;LI Yiping(College of Water Conservancy Science and Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Shanxi Cultural Tourism Investment Group Co.,Ltd.,Taiyuan 030024,China;College of Environment,Hohai University,Nanjing 210098,China)
出处
《华北水利水电大学学报（自然科学版）》
北大核心
2024年第5期15-21,共7页
Journal of North China University of Water Resources and Electric Power：Natural Science Edition
基金
国家自然科学基金重点项目(52039003)。
关键词
阳泉市
改进粒子群算法
多目标模型
水资源配置
Yangquan City
improved particle swarm optimization
multi-objective model
water resources allocation
作者简介
第一作者:李泽宇(1994-),男,博士研究生,从事环境工程方面的研究。E-mail:394584931@qq.com。;通信作者:赵喜萍(1968-),女,教授,博导,博士,从事智慧水利方面的研究。E-mail:zxplzy@126.com。
