Sizhong He , Zhenzhen Ma , Xiaosheng Qin , Jinjun You , Tianfu Wen , Yuqin Gao , Yusheng Wang , Yingjie Bo , Jianjie Tong
{"title":"基于NSGA-II综合框架和运行模型的混合水库群干旱运行规律推导","authors":"Sizhong He , Zhenzhen Ma , Xiaosheng Qin , Jinjun You , Tianfu Wen , Yuqin Gao , Yusheng Wang , Yingjie Bo , Jianjie Tong","doi":"10.1016/j.jhydrol.2025.133696","DOIUrl":null,"url":null,"abstract":"<div><div>Frequent droughts driven by climate change threaten the balance between water supply and demand in river basins. To improve reservoir group operation rules under drought conditions, this study proposes a novel method for deriving hybrid operation rules by integrating an NSGA-II framework with joint operation models. The approach compares the operation results of the joint optimal operation models (JOOM) and the conventional dispatch diagram model (CDDM) to analyze reservoir interactions. A network of linkages among primary reservoirs involved in joint operation is identified. This network is then incorporated into the integrated NSGA-II framework and joint operation network model (JONM) to determine the optimal joint operation trigger water storage (JOTWS) for each joint operation reservoir. These optimized JOTWS values are subsequently implemented in the JONM. A case study in the Yuanhe River Basin demonstrates the method’s effectiveness. The optimized JOTWS values were successfully derived as 5,055 and 26,801 10<sup>4</sup>m<sup>3</sup> for the Shankouyan and Jiangkou reservoirs, respectively. These values enable the upstream Shankouyan Reservoir to release 30–50 % of its utilizable capacity to support downstream water users during dry seasons. The improvement ratio in annual total water supply to users by JONM compared to CDDM, relative to JOOM, ranges from 11.09 to 60.38 %, improving water supply reliability, particularly for users dependent on the Jiangkouyan Reservoir. The proposed method enhances adaptive reservoir management under drought scenarios and offers a practical tool for improving regional water resource resilience.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"661 ","pages":"Article 133696"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deriving hybrid reservoir group operation rules for droughts using integrated NSGA-II framework and operation models\",\"authors\":\"Sizhong He , Zhenzhen Ma , Xiaosheng Qin , Jinjun You , Tianfu Wen , Yuqin Gao , Yusheng Wang , Yingjie Bo , Jianjie Tong\",\"doi\":\"10.1016/j.jhydrol.2025.133696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Frequent droughts driven by climate change threaten the balance between water supply and demand in river basins. To improve reservoir group operation rules under drought conditions, this study proposes a novel method for deriving hybrid operation rules by integrating an NSGA-II framework with joint operation models. The approach compares the operation results of the joint optimal operation models (JOOM) and the conventional dispatch diagram model (CDDM) to analyze reservoir interactions. A network of linkages among primary reservoirs involved in joint operation is identified. This network is then incorporated into the integrated NSGA-II framework and joint operation network model (JONM) to determine the optimal joint operation trigger water storage (JOTWS) for each joint operation reservoir. These optimized JOTWS values are subsequently implemented in the JONM. A case study in the Yuanhe River Basin demonstrates the method’s effectiveness. The optimized JOTWS values were successfully derived as 5,055 and 26,801 10<sup>4</sup>m<sup>3</sup> for the Shankouyan and Jiangkou reservoirs, respectively. These values enable the upstream Shankouyan Reservoir to release 30–50 % of its utilizable capacity to support downstream water users during dry seasons. The improvement ratio in annual total water supply to users by JONM compared to CDDM, relative to JOOM, ranges from 11.09 to 60.38 %, improving water supply reliability, particularly for users dependent on the Jiangkouyan Reservoir. The proposed method enhances adaptive reservoir management under drought scenarios and offers a practical tool for improving regional water resource resilience.</div></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"661 \",\"pages\":\"Article 133696\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-06-13\",\"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/S0022169425010340\",\"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/S0022169425010340","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}
Deriving hybrid reservoir group operation rules for droughts using integrated NSGA-II framework and operation models
Frequent droughts driven by climate change threaten the balance between water supply and demand in river basins. To improve reservoir group operation rules under drought conditions, this study proposes a novel method for deriving hybrid operation rules by integrating an NSGA-II framework with joint operation models. The approach compares the operation results of the joint optimal operation models (JOOM) and the conventional dispatch diagram model (CDDM) to analyze reservoir interactions. A network of linkages among primary reservoirs involved in joint operation is identified. This network is then incorporated into the integrated NSGA-II framework and joint operation network model (JONM) to determine the optimal joint operation trigger water storage (JOTWS) for each joint operation reservoir. These optimized JOTWS values are subsequently implemented in the JONM. A case study in the Yuanhe River Basin demonstrates the method’s effectiveness. The optimized JOTWS values were successfully derived as 5,055 and 26,801 104m3 for the Shankouyan and Jiangkou reservoirs, respectively. These values enable the upstream Shankouyan Reservoir to release 30–50 % of its utilizable capacity to support downstream water users during dry seasons. The improvement ratio in annual total water supply to users by JONM compared to CDDM, relative to JOOM, ranges from 11.09 to 60.38 %, improving water supply reliability, particularly for users dependent on the Jiangkouyan Reservoir. The proposed method enhances adaptive reservoir management under drought scenarios and offers a practical tool for improving regional water resource resilience.
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.