读者关切 我是湖北省荆州市的一名退休职工，家住长江边，很关心汛情。我从新闻中看到，今年一些地方遭遇了 暴雨、洪水等，想了解相关部门在建设防洪工程上有什么新举措？ 当前，防汛关键期虽然已过，但一些地区仍面临洪涝和台风风险，防汛救灾这根弦要始终紧绷。 中办、国办发布的《关于全面推进江河保护治理的意见》提出"构建流域防洪减灾新格局""完善流域防 洪工程体系"。如何统筹当前和长远，为防洪工程进一步"强筋健骨"？ 完善流域防洪工程体系，关键要系统发力。流域性是江河湖泊最根本、最鲜明的特性。要以流域为单 元，坚持上下游、干支流、左右岸统筹谋划，优化各类防洪工程布局，协同增蓄、扩排、分滞等工作， 切实提高防汛抗洪能力。 "流域防洪工程体系由水库、河道及堤防、蓄滞洪区等组成。水利部门坚持科学规划，系统治理，综合 运用蓄洪、滞洪、泄洪、排洪等措施，努力增强对洪水的主动调控能力。"水利部水旱灾害防御司防汛 四处三级调研员李琛亮介绍。 推进骨干工程建设，加快补短板。"水利部门抓紧时间、抓好当下，实施病险水库除险加固三年行动， 开工建设一批国家蓄滞洪区，全力实现七大江河干流重要堤防达标三年行动方案目标任务，加快推进水 利基础设施现代 ...

Core Insights - The Guangxi Hydrology Center has successfully integrated the DeepSeek model into its operations, creating the "Gui Shui Wen" intelligent system, which is the first AI assistant in the hydrology field that incorporates voice interaction, data analysis, and knowledge graph technology [1][2] - The system has significantly improved the efficiency of hydrological data retrieval and decision-making support, allowing over 500,000 users to access real-time hydrological information within 20 seconds [1] - The "Gui Shui Wen" system has also streamlined the process of applying for hydrological data, enabling users to complete requests online, thus enhancing transparency and standardization in hydrological services [2] Group 1 - The "Gui Shui Wen" intelligent system has been deeply integrated into various business modules, promoting the digital transformation of hydrological services in Guangxi [1] - The system utilizes deep learning algorithms for multi-dimensional analysis of hydrological databases, achieving millisecond-level data retrieval for key basin data [1] - Over 7,000 flood control decision-makers have benefited from the system, receiving detailed support information on rainfall, large and medium-sized reservoirs, and historical floods within 20 seconds [1] Group 2 - The system has established an intelligent service model of "online application, offline provision," which matches user needs through semantic understanding technology [2] - It has provided hydrological data services to 26 units, delivering approximately 230,000 words of hydrological data from 2,100 stations over the years [2] - The "Gui Shui Wen" system aims to create a smart hydrology hub that supports basin governance with precise decision-making, focusing on key technologies for digital twin basins [2]

Core Insights - The article emphasizes the importance of digital empowerment in the comprehensive governance of the Yangtze River Basin, highlighting the need for modern information technology to transform governance concepts and methods [1] Digital Technology Application Achievements - Significant progress has been made in the construction of digital twin projects such as the Digital Twin Three Gorges, Digital Twin Danjiangkou, and Digital Twin Han River, which have completed their initial construction tasks [2] - A comprehensive water monitoring system has been established, integrating aerial, terrestrial, and satellite data to support the digital twin of the Yangtze River [2] - Enhanced monitoring capabilities have been achieved through the deployment of hydrological stations and the use of drones and 3D laser scanning systems, improving data collection on hydrology, water quality, and ecology [2] Disaster Prevention and Control - The integration of multi-source data fusion algorithms has improved disaster prevention capabilities, creating a comprehensive forecasting and warning system for the entire river basin [2] Green Transformation and Industrial Upgrade - Digital technology is providing new pathways for green development in the Yangtze Economic Belt, with smart shipping systems utilizing 5G, Beidou navigation, and AI to enhance efficiency and reduce emissions [3] Challenges in Digital Technology Application - Data sharing obstacles exist due to diverse data sources and formats, leading to difficulties in forming unified data standards and hindering deep analysis [4] - The depth of digital technology application is insufficient, with many core technologies relying on foreign imports and lacking integration across various technologies [4] - There is a shortage of composite digital talent required for effective governance, as existing educational and training systems do not meet the practical needs of the industry [5] Recommendations for Improvement - Establish a cross-departmental data sharing system and create a national-level regulatory framework to facilitate data sharing among relevant departments [7] - Focus on core technology development and promote domestic technology products to enhance the application of digital technologies in governance [7] - Accelerate the construction of digital infrastructure, including expanding network coverage and optimizing data center locations to support real-time data processing [8] - Develop a comprehensive talent cultivation system to support the digital governance of the river basin, integrating education with industry needs [8]

Group 1 - The core message emphasizes the importance of implementing flood prevention measures and adhering to the directives of the central government to ensure public safety and stability during flood seasons [1][2][3] - The inspection team, led by the Minister of Water Resources, focused on assessing flood prevention work in various regions, including the Xiangjiang and Zishui river basins, and identified weaknesses in current flood control measures [1][2] - A modern rainwater monitoring and forecasting system is to be established, integrating satellite, radar, and hydrological networks to enhance flood prediction accuracy and extend the forecast period [2][3] Group 2 - The need for a comprehensive defense system that includes responsibility allocation, decision support, and command coordination is highlighted to ensure effective flood management [3] - Emphasis is placed on the importance of early warning systems and organized evacuation plans to protect vulnerable populations from potential flood risks [3] - The management of small and dangerous reservoirs, as well as key levees, is crucial for flood preparedness, with a focus on proactive measures and early detection of potential hazards [3]

Core Insights - The meeting held by the Taihu Basin Management Bureau focused on the construction of a digital twin of Taihu and the work related to network information for 2025 [1][2] - The bureau acknowledged the positive outcomes achieved in 2024 regarding the top-level design of the digital twin, application of business systems, information infrastructure, and network security [1] Group 1 - The meeting emphasized the need to address weaknesses in business system applications, the role of models, and the application of new technologies [1][2] - The bureau aims to become a leader in the construction of digital twin watersheds, with high-quality progress in the digital twin of Taihu [2] - Key tasks for 2025 include accelerating preliminary work on the national digital twin watershed project, enhancing integrated monitoring systems, and promoting the application of business systems [2] Group 2 - The meeting outlined the importance of strengthening model technology research and exploring the application of artificial intelligence in modeling [2] - Network security measures must be prioritized, with strict responsibility and data management protocols in place during the construction of the digital twin [2] - Coordination among departments is crucial to ensure a unified approach to network information work and the successful implementation of tasks [2]