摘要
针对黄河中下游资源型缺水与生态恶化问题,本文以小浪底引黄入涑工程为例,构建基于RVEA算法的多目标优化调度模型,协调供水安全、运行成本与生态环境的博弈关系。模型以供水缺水率平方和最小、泵站运行成本最低、生态流量满足度最高为目标,约束包括水量平衡与分水比例等。运城市典型缺水年(P=75%)算例显示,RVEA算法求解该高维非线性问题表现优异,Pareto解集揭示三目标间的非线性权衡。因工程吨水成本高昂,研究建议建立“以工补农”交叉补贴及生态补偿机制。本研究可为该跨流域调水工程的科学调度与决策提供理论支撑。
To address water scarcity and ecological degradation in resource-dependent regions along the middle-lower Yellow River,this study develops a multi-objective optimization model using the Xiaolangdi Yellow River Water Diversion Project as a case study.The RVEA algorithm-based model balances water supply security,operational costs,and ecological sustainability through a game-theoretic approach.It optimizes water shortage rate squared sum,minimizes pumping station costs,and maximizes ecological flow satisfaction,constrained by water balance and distribution ratios.Simulation results from a typical water-scarce year(P=75%)in Yuncheng City demonstrate the RVEA algorithm’s effectiveness in solving this high-dimensional nonlinear problem,with Pareto solutions revealing nonlinear trade-offs among objectives.Given the project’s high per-ton water costs,the study proposes establishing a“industrial-agricultural cross-subsidization”mechanism and ecological compensation system.This research provides theoretical support for scientific scheduling and decision-making in trans-basin water transfer projects.
作者
范鹏飞
Fan Pengfei(Shanxi Jindaolong Engineering Management Co.,Ltd.,Yuncheng 044000,China)
出处
《吉林水利》
2026年第3期64-70,共7页
Jilin Water Resources
关键词
跨流域调水
多目标优化
RVEA算法
涑水河
小浪底引黄工程
Inter-basin water transfer
Multi-objective optimization
RVEA algorithm
Sushui River
Xiaolangdi Yellow River Diversion Project
