Gang Liu , Enhui Jiang , Donglin Li , Jieyu Li , Yuanjian Wang , Wanjie Zhao , Zhou Yang
{"title":"黄河干流梯级水库年度调度多目标优化模型与策略","authors":"Gang Liu , Enhui Jiang , Donglin Li , Jieyu Li , Yuanjian Wang , Wanjie Zhao , Zhou Yang","doi":"10.1016/j.jhydrol.2025.133306","DOIUrl":null,"url":null,"abstract":"<div><div>To enhance the water use efficiency in the Yellow River basin and alleviate the competition among the scheduling objectives of cascade reservoirs, we developed a comprehensive annual multi-objective optimization model based on basin systems science. This model integrated multiple objectives water and sediment management, ecological sustainability, and economic considerations. It was applied to the primary cascade reservoirs along the Yellow River mainstream: the Longyangxia, Liujiaxia, Haibowan, Wanjiazhai, Sanmenxia, and Xiaolangdi reservoirs. Using the Pareto solution set, we examined the optimization scope and potential adjustments under varying hydrologic frequencies, obtaining an optimized scheduling strategy informed by the “runoff conditions − trade-off relationships − optimization space”. The results indicated that as the runoff increased, both the optimization space and magnitude increased. A competitive relationship was observed between power generation and sediment discharge, as well as between ecological needs and sediment discharge, with competition intensifying as runoff increased. During dry years, power generation and ecological objectives were competitive, and this relationship gradually collaborated with increased runoff. A comparison between the segmented and established models demonstrated the superiority of the segmented approach. This study contributes to alleviating water use conflicts in the Yellow River basin, enhancing water utilization efficiency, and supporting effective management of the Yellow River.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"659 ","pages":"Article 133306"},"PeriodicalIF":5.9000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Annual multi-objective optimization model and strategy for scheduling cascade reservoirs on the Yellow River mainstream\",\"authors\":\"Gang Liu , Enhui Jiang , Donglin Li , Jieyu Li , Yuanjian Wang , Wanjie Zhao , Zhou Yang\",\"doi\":\"10.1016/j.jhydrol.2025.133306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To enhance the water use efficiency in the Yellow River basin and alleviate the competition among the scheduling objectives of cascade reservoirs, we developed a comprehensive annual multi-objective optimization model based on basin systems science. This model integrated multiple objectives water and sediment management, ecological sustainability, and economic considerations. It was applied to the primary cascade reservoirs along the Yellow River mainstream: the Longyangxia, Liujiaxia, Haibowan, Wanjiazhai, Sanmenxia, and Xiaolangdi reservoirs. Using the Pareto solution set, we examined the optimization scope and potential adjustments under varying hydrologic frequencies, obtaining an optimized scheduling strategy informed by the “runoff conditions − trade-off relationships − optimization space”. The results indicated that as the runoff increased, both the optimization space and magnitude increased. A competitive relationship was observed between power generation and sediment discharge, as well as between ecological needs and sediment discharge, with competition intensifying as runoff increased. During dry years, power generation and ecological objectives were competitive, and this relationship gradually collaborated with increased runoff. A comparison between the segmented and established models demonstrated the superiority of the segmented approach. This study contributes to alleviating water use conflicts in the Yellow River basin, enhancing water utilization efficiency, and supporting effective management of the Yellow River.</div></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"659 \",\"pages\":\"Article 133306\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022169425006444\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425006444","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Annual multi-objective optimization model and strategy for scheduling cascade reservoirs on the Yellow River mainstream
To enhance the water use efficiency in the Yellow River basin and alleviate the competition among the scheduling objectives of cascade reservoirs, we developed a comprehensive annual multi-objective optimization model based on basin systems science. This model integrated multiple objectives water and sediment management, ecological sustainability, and economic considerations. It was applied to the primary cascade reservoirs along the Yellow River mainstream: the Longyangxia, Liujiaxia, Haibowan, Wanjiazhai, Sanmenxia, and Xiaolangdi reservoirs. Using the Pareto solution set, we examined the optimization scope and potential adjustments under varying hydrologic frequencies, obtaining an optimized scheduling strategy informed by the “runoff conditions − trade-off relationships − optimization space”. The results indicated that as the runoff increased, both the optimization space and magnitude increased. A competitive relationship was observed between power generation and sediment discharge, as well as between ecological needs and sediment discharge, with competition intensifying as runoff increased. During dry years, power generation and ecological objectives were competitive, and this relationship gradually collaborated with increased runoff. A comparison between the segmented and established models demonstrated the superiority of the segmented approach. This study contributes to alleviating water use conflicts in the Yellow River basin, enhancing water utilization efficiency, and supporting effective management of the Yellow River.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.