基于多目标优化与SWAT-MODFLOW耦合模型的黑河中游灌区水资源优化配置OA

Aiming at the escalating water scarcity and worsening groundwater over-exploitation issues in the middle reaches of the Heihe River,taking the Daman irrigation district in Zhangye City as the re-search area,a water resource optimal allocation scheme that balances the goals of economic develop-ment,water supply security,and groundwater protection was constructed.A two-way coupled SWAT-MODFLOW surface water-groundwater model was established and coupled with the multi-objective par-ticle swarm optimization(MOPSO)algorithm to build a dynamic optimization system with three objec-tives:maximizing economic benefits,minimizing water shortage risk,and minimizing groundwater depth deviation.The system achieved bidirectional dynamic interactions between hydrological states and allocation schemes,and the TOPSIS method was adopted to select the optimal allocation scheme.If the 2026 optimal allocation scheme continues to be implemented,it is expected to reduce the average groundwater depth in the irrigation district by 0.21 m,increase economic benefits to 905.232 0 million yuan,and reduce the sum of squared water shortage rates to 0.005 2 by 2030,thereby significantly re-duce groundwater exploitation and optimize the regional water use structure.The optimal allocation sys-tem constructed in this study can provide quantitative decision-making support for the sustainable utili-zation of water resources in large irrigation districts of arid regions in Northwest China.