郑州市黄河水资源多目标协同优化OA

This study aims to address the acute conflict between a 137%increase in water demand and a 58.5%decrease in supply in Zhengzhou City,against the backdrop of an average annual decline rate of 12.6%in water diversion from the Yellow River.This severe imbalance between water supply and demand has become a critical bottleneck constraining the sustainable development of megacities.To overcome the limitations of traditional single-objective optimization methods,this research constructs a three-dimensional"space-process-institution"collaborative optimization model.In the spatial dimension,water resource spatial reallocation is achieved through dynamic gate allocation and an inter-regional agricultural water transfer mechanism.In the process dimension,a multi-level water recycling system for the Jialu River—comprising"diversion,storage,purification,and irrigation"—is designed to enhance utilization efficiency.The institutional dimension introduces an interannual adjustment mechanism for water use quotas based on remote sensing monitoring to improve system adaptability.A multi-objective optimization algorithm is employed for solving the model,and a synergy index is used for evaluation.Empirical results demonstrate that the model increases the utilization rate of downstream idle projects by 41.2%,achieves a water reuse frequency of 2.3 times,improves water use efficiency by 40%,elevates the system synergy index from 0.38 to 0.82,and achieves a comprehensive utilization rate of 91.2%.The research conclusions indicate that spatial reconfiguration can effectively activate the potential of existing water conservancy infrastructure,multi-level cycling in the process can significantly expand the service function per unit of water resource,and the flexible quota system provides dynamic adaptive capacity for the system.The synergy of these three aspects offers a systematic solution for achieving multi-objective optimal allocation of water resources in highly water-scarce megacities amid water supply declines.