Study on Water Resources Allocation in Multi-source Irrigation Area Based on Improved Particle Swarm Optimization
汪鹏 WANG Peng
（湖北承天水利勘察设计院有限公司，荆门 431900）
（Hubei Chengtian Water Conservancy Survey and Design Institute Co.，Ltd.，Jingmen 431900，China）
摘要：由针对不同作物在不同生长阶段对水资源需求不同而导致灌区水资源利用率难以有效控制的问题，提出了基于改进粒子群算法的多水源引水灌区水资源调配研究。该研究将可调配水源配置情况作为执行约束条件，以确保满足不同农作物在不同生长阶段的水需求。在此基础上，构建了一个以最小化灌溉水资源总量为目标的调配函数。在求解阶段，引入了粒子群算法，并设置不同粒子之间的距离，以优化目标函数寻找最佳调配参数。通过测试结果验证，这种方法能够使得设计方案中所需供水总量最少，在满足各农作物水资源需求的前提下有效提高水资源利用率。这种研究方法不仅可以提高水资源利用效率，还能实现对灌区水资源进行有效管理与调配，有望在农业生产实践中发挥重要作用，促进农业可持续发展。
Abstract: Aiming at the problem that different crops have different demands for water resources at different growth stages, which leads to the difficulty in effectively controlling the utilization ratio of water resources in irrigation areas, this paper puts forward the research on water resources allocation in multi-source diversion irrigation areas based on improved particle swarm optimization. In this study, the allocation of adjustable water sources is taken as the constraint condition to ensure that the water demand of different crops at different growth stages can be met. On this basis, a dispatching function with the goal of minimizing the total amount of irrigation water resources is constructed. In the solution stage, the particle swarm optimization algorithm is introduced, and the distance between different particles is set to optimize the objective function and find the best deployment parameters. The test results show that this method can minimize the total water supply required in the design scheme and effectively improve the water resources utilization rate on the premise of meeting the water resources needs of various crops. This research method can not only improve the utilization efficiency of water resources, but also achieve effective management and allocation of water resources in irrigation areas, which is expected to play an important role in agricultural production practice and promote the sustainable development of agriculture.
关键词：改进粒子群算法；多水源引水灌区；水资源调配；约束条件；最小化灌溉水资源总量；粒子距离
Key words: improved particle swarm optimization；multi -water diversion irrigation area；water resources allocation；constraints；
minimize the total amount of irrigation water resources；particle distance
中图分类号：TV213.9 文献标识码：A 文章编号：1006-4311（2024）26-020-03 doi:10.3969/j.issn.1006-4311.2024.26.007
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