节水灌溉Issue(1)：79-83,89,6.DOI:10.12396/jsgg.2025305
基于动态权重策略的五家渠灌区水资源优化调配研究
Study on Optimal Allocation of Water Resources in the Wujiaqu Irrigation District Based on Dynamic Weighting Strategy
摘要
Abstract
To improve water resource utilization efficiency in irrigation districts and address the challenges of multi-objective coordination and poor adaptability of static weights in traditional water allocation methods,this study focuses on the West Main Canal of the 102nd Regiment in Wujiaqu Irrigation District.An optimization model was developed with the objectives of minimizing canal system seepage loss,water flow fluctuation,and the branch canal water shortage rate.A novel approach integrating the Whale Optimization Algorithm(WOA)with a dynamic weight strategy was proposed,which dynamically adjusts the weights of objective functions based on the real-time relationships between canal intake and crop water requirements to achieve adaptive optimization of water allocation strategies under different hydrological conditions.Simulation experiments demonstrated that WOA outperformed Differential Evolution(DE)and Particle Swarm Optimization(PSO)in convergence speed,accuracy,and stability.Case applications revealed that under high-water conditions,water distribution time was reduced by 24.90%,canal system water allocation increased by 19.05%,and seepage loss decreased by 24.74%;under water-deficit conditions,the branch canal water supply guarantee rate reached 83.76%.The proposed dynamic weight strategy effectively overcomes the limitations of fixed-weight methods,providing a reliable approach for refined water resource management in arid irrigation districts and offering significant practical implications for enhancing agricultural irrigation water use efficiency.关键词
五家渠灌区/水资源利用效率/鲸鱼优化算法/动态权重策略/仿真试验Key words
Wujiaqu irrigation district/water resource utilization efficiency/whale optimization algorithm/dynamic weight strategy/simulation experiment分类
农业科技引用本文复制引用
孙梓苑,乔长录,邵珠林,曹烁..基于动态权重策略的五家渠灌区水资源优化调配研究[J].节水灌溉,2026,(1):79-83,89,6.基金项目
兵团科技计划重点项目(2023AB059) （2023AB059）
