Abstract: To address the challenge of imbalances in technical, economic, and safety objectives caused by multi-stage design changes for plain reservoirs, this study takes Dongxing reservoir on the Eastern Route of the South-to-North Water Diversion Project as an example and aims to develop a method for the synergistic optimization of technical, economic, and safety factors. Through literature review, case analysis, and quantitative modeling, an evaluation system comprising 12 indicators across three dimensions is established, and a multi-stage synergistic optimization model based on dynamic weighting is developed. The results show that applying this model to optimize dam height, seepage control, and spoil disposal schemes can increase the technical compliance rate by 12.3%, save 19 464 400 yuan in investment, and reduce the risk of dam failure by 31.7%. This model can effectively balance conflicting objectives during multi-stage design changes and provide a theoretical basis and practical tools for the refined design and full life-cycle management of similar plain reservoir projects.

Key words: plain reservoir, multi-stage design change, synergistic optimization, technology-economysafety, dynamic weight

摘要： 为破解平原水库多阶段设计变更引发的技术、经济、安全目标失衡难题，本研究以南水北调东线东邢水库为案例，旨在构建一套技术-经济-安全协同优化方法。通过文献研究、案例解析与量化建模，构建了包含3个维度12项指标的评价体系，并建立了基于动态权重的多阶段协同优化模型。结果表明：应用该模型优化坝高、防渗及弃土方案后，可使技术达标率提升12.3%，投资节约1 946.44万元，溃坝风险降低31.7%。该模型能有效平衡多阶段变更中的矛盾目标，可为类似平原水库工程的精细化设计与全周期管理提供理论依据与实践工具。

关键词: 平原水库, 多阶段设计变更, 协同优化, 技术-经济-安全, 动态权重