基于改进粒子群优化算法的区域水量水质联合配置模型EI北大核心CSCD

综合考虑区域水资源水量和水质两个因素,以供水净效益最大、区域总缺水量最小、COD排放量最小为目标建立区域水量水质联合配置多目标模型;为提高算法的计算精度和全局寻优能力,对粒子群优化算法进行了改进并用于模型求解。将模型用于江苏省靖江市水资源配置研究,结果表明:基本方案和节水方案下的用水总量和COD排放量均在其限值范围内,节水方案下供水净效益比基本方案低3.0亿元,缺水量和COD排放量分别比基本方案低1290万m^(3)、1062.7 t,说明得出的配置方案合理可行。在节水方案下进行区域水资源配置,在缓解区域缺水状况的同时,能够有效减少COD排放量,可为解决区域水质型缺水问题提供决策参考。

Regional water quantity and water quality joint allocation model based on improved particle swarm optimization algorithm

Considering the water quantity and water quality of regional water resources comprehensively, a multi-objective regional water quantity and water quality joint allocation model was established, with the goals of maximizing the net benefit of water supply and minimizing the total water shortage, and COD emission in the region. To improve the calculation accuracy and global optimization ability, the particle swarm optimization algorithm was improved and used to solve the model. A case study ol Jingjiang City in Jiangsu Province shows that the total water consumption and COD emission in both the basic scheme and water-saving scheme are within their limits. The net benefit ol water supply in the water-saving scheme is 300 million CNY lower than that in the basic scheme, and the water shortage and COD emission in the water-saving scheme are 12.9 million m3 and 1 062. 7 t lower titan those in the basic scheme, demonstrating that the joint allocation scheme formulated in this paper is reasonable and feasible. The allocation of regional water resources under the water-saving scheme can alleviate regional water shortage, and also effectively reduce COD emission, which can provide a reference for decision-making in solving the problem of regional water shortage induced by water quality. © 2022, Editorial Board of Water Resources Protection. All rights reserved.