Multiobjective risk-based optimization for real-time interbasin water diversion under decomposed chance-constrained total water use

IF 5 2区 地球科学 Q1 WATER RESOURCES Journal of Hydrology-Regional Studies Pub Date : 2025-02-20 DOI:10.1016/j.ejrh.2025.102252
Ran Mo , Bin Xu , Jianyun Zhang , Guoqing Wang , Ping-an Zhong , Huili Wang , Lingwei Zhu , Jiaying Tan
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Abstract

Study Region

The eastern route of the South-to-North Water Diversion Project in Jiangsu Province, China, a critical national interbasin water diversion system for alleviating water shortages.

Study Focus

This study proposed a risk-based multiobjective optimization model for interbasin water diversion, with chance constraint on total water use. Probabilistic forecasting of local streamflow and water demand was adopted to identify operation risks. Multiobjective stochastic optimization was then introduced to minimize the risks of water shortages and spillages. Furthermore, a decomposition method was proposed to investigate the regime of water use under different hydrological conditions, and the decomposed chance constraint was incorporated into the optimization model. Finally, two indices were designed to assess the value of forecasts and water utilization efficiency.

New Hydrological Insights for the Region

Developing a robust and efficient water diversion strategy based on forecast information is crucial. The proposed method with case study provides the following new hydrological insights: (1) conflict occurs between water diversion, spillage, and shortage, with water shortage and diversion representing major contradictions. (2) high-skilled forecasting helps reduce water diversion (22.3 %), spillage (over 60 %), and shortage (approximately 10 %), indicating considerable value for promoting the benefits of water diversion operations. (3) water use constraint focuses restricting excessive water diversion (30.8 %), exploiting the potential of local water supply, increasing in local water utilization efficiency from 92.8 % to 93.4 %.
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分解机会约束下的流域间实时调水多目标风险优化
研究区域:中国江苏省南水北调东线工程是缓解水资源短缺的重要国家跨流域调水系统。研究重点提出了基于风险的流域间调水多目标优化模型,并考虑了总用水量的机会约束。采用当地流量和需水量的概率预测来识别运行风险。然后引入多目标随机优化,以最大限度地减少水资源短缺和溢出的风险。在此基础上,提出了一种分解方法来考察不同水文条件下的水资源利用状况,并将分解后的机会约束纳入优化模型。最后,设计了两个指标来评价预测价值和水分利用效率。根据预报信息制定强有力和有效的调水战略至关重要。本文提出的方法结合实例,提供了以下新的水文认识:(1)引水、溢水、缺水三者之间存在冲突,缺水和引水是主要矛盾。(2)高技能的预测有助于减少引水(22.3% %)、溢出(超过60% %)和短缺(约10 %),表明对提高引水作业效益有相当大的价值。(3)用水约束侧重于限制过度调水(30.8 %),挖掘当地供水潜力,将当地水资源利用效率从92.8 %提高到93.4 %。
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来源期刊
Journal of Hydrology-Regional Studies
Journal of Hydrology-Regional Studies Earth and Planetary Sciences-Earth and Planetary Sciences (miscellaneous)
CiteScore
6.70
自引率
8.50%
发文量
284
审稿时长
60 days
期刊介绍: Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.
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