Core Insights - The article discusses the implementation and progress of the Digital Twin Water Conservancy System in China, which integrates big data, cloud computing, and artificial intelligence to enhance water resource management and disaster prevention [1][2]. Group 1: Digital Twin Water Conservancy System Development - The framework for the Digital Twin Water Conservancy System has been largely established during the 14th Five-Year Plan period, with 94 pilot projects completed and 14 provincial digital water network areas initiated [1]. - Key projects such as the Three Gorges, South-to-North Water Diversion, and others have been put into practical application, with 49 digital twin irrigation areas and 230 rural water supply projects achieving significant results [1]. Group 2: Flood Management and Prevention - The "smart brain" has effectively supported flood management, successfully aiding in the defense against significant floods in the Haihe and Pearl River basins, with a record high water storage of 1,081 billion cubic meters in 58 reservoirs during the low water period [2]. - The Ministry of Water Resources has enhanced flood forecasting capabilities, extending the forecast period from 3 days to 10 days, achieving a 90% accuracy rate for key river flood forecasts [2]. Group 3: Water Resource Management - The Digital Twin Water Conservancy System has improved water resource management, achieving full coverage of water measurement in major irrigation areas and a 93% monitoring coverage for ecological flow in key rivers and lakes [3]. - The system has facilitated the identification of 185,000 issues related to water usage, significantly enhancing regulatory efficiency, with a 98.6% compliance rate for ecological flow standards in 2024 [3]. Group 4: Future Directions - The Ministry of Water Resources aims to continue enhancing the Digital Twin Water Conservancy System during the 15th Five-Year Plan, focusing on demand-driven applications and improving intelligent governance capabilities [4].
我国数字孪生水利体系框架基本形成
Xin Lang Cai Jing·2025-12-20 20:03