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DOI: https://doi.org/10.11988/ckyyb.20250057

数字孪生平台支撑下长江骨干水库抗旱补水调度情景推演

  • 李喆 , 1, 2 ,
  • 向大享 1, 2 ,
  • 陈喆 1, 2 ,
  • 蔡思宇 3 ,
  • 严子奇 3
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  • 1.长江科学院 空间信息技术应用研究所，武汉 430010
  • 2.武汉市智慧流域工程技术研究中心，武汉 430010
  • 3.中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室，北京 100038

李 喆（1980—），男，湖北监利人，正高级工程师，博士，主要从事防汛抗旱减灾、水利信息化与水土保持研究。E-mail:

收稿日期: 2025-01-20

  修回日期: 2025-04-22

  网络出版日期: 2025-06-03

基金资助

国家重点研发计划项目(2021YFC3000205)

国家重点研发计划项目(2017YFC1502406)

武汉市重点研发计划项目(CKSD2023927/KJ)

水利部重大科技项目(SKR-2022001)

水利部重大科技项目(SKR-2022003)

湖北省自然科学基金(2022CFD173)

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Scenario Simulation of the Drought Relief and Water Replenishment Operation of Key Reservoirs in the Changjiang River Basin Supported by the digital twin Platform

  • LI Zhe , 1, 2 ,
  • XIANG Da-xiang 1, 2 ,
  • CHEN Zhe 1, 2 ,
  • CAI Si-yu 3 ,
  • YAN Zi-qi 3
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  • 1. Department for Spatial Information Technology Application, Changjiang River Scientific Research Institute, Wuhan 430010, China
  • 2. Wuhan Smart Watershed Engineering Technology Research Center, Wuhan 430010,China
  • 3. State Key Laboratory of Simulation and Regulation of Water Cycle, China Institute of Water Resources and Hydropower Research, Beijing 100038,China

Received date: 2025-01-20

  Revised date: 2025-04-22

  Online published: 2025-06-03

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摘要

在全球气候变暖的背景下，长江流域干旱灾害风险持续增加，流域抗旱管理面临着旱情监测预警精度不高、抗旱调度预演预判能力不足等瓶颈问题，亟待深入研究。从抗旱业务管理和“四预”应用需求出发，构建了抗旱补水调度数字孪生平台，选择长江流域2022年特大干旱为典型案例，围绕“当前旱情诊断-未来趋势研判-抗旱调度推演-预案会商决策”全链条全过程开展了情景推演，构建了干旱网络舆情监测分析、旱警水位超限告警预警、抗旱调度方案知识库和场景匹配等关键技术。本研究实现了抗旱“四预”目标，切实提升了流域抗旱管理智能化、精细化水平，为推进干旱防御数字孪生建设提供了技术示范。

关键词： 数字孪生平台; 抗旱调度; “四预”; 长江流域; 情景推演

本文引用格式

李喆 , 向大享 , 陈喆 , 蔡思宇 , 严子奇 . 数字孪生平台支撑下长江骨干水库抗旱补水调度情景推演[J]. 长江科学院院报, 2025 . DOI: 10.11988/ckyyb.20250057

Abstract

The frequency and intensity of extreme drought in the Changjiang River Basin have significantly increased, and there have been problems in drought prevention such as insufficient use of drought-limited water level warning functions and insufficient ability to predict drought resistance scheduling rehearsals. Starting from the requirements of drought resistance business management and the application of the "four predictions", a digital twin platform for drought resistance scheduling was constructed. The Yangtze River Basin's severe drought in 2022 was selected as a typical case, and scenario simulations were carried out around the entire process of "current drought diagnosis future trend analysis drought resistance scheduling deduction contingency plan consultation and decision-making". Key technologies such as drought network public opinion monitoring and analysis, drought limit water level exceeding warning, drought resistance scheduling plan knowledge base and scenario matching were achieved, effectively enhancing the basin's ability to cope with severe drought, providing technical demonstrations for improving the digital twin water conservancy system and promoting the construction of drought resistant digital twins.

Key words： digital twin platform; drought relief scheduling; Changjiang River Basin; forecast, early warning, preview and contingency planning; scenario simulation

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