系统谋划推进数字孪生水利体系建设

Core Viewpoint - The construction of a digital twin water conservancy system is essential for enhancing water safety and quality development in China, driven by the need to address increasing risks in water security and leverage advancements in technology [1][2]. Group 1: Digital Twin Water Conservancy System - The digital twin water conservancy system integrates physical water objects, spatial-temporal data, mathematical models, and water management knowledge to create a comprehensive system that allows for real-time interaction and optimization [2]. - This system consists of three components: digital twin basins, digital twin water networks, and digital twin projects, each focusing on different aspects of water management while ensuring connectivity and information sharing [2]. Group 2: Implementation Principles - The construction of the digital twin water conservancy system should follow principles of demand-driven application, intelligence empowerment, and capability enhancement, focusing on practical needs in flood prevention, water resource management, and rural water supply [3]. Group 3: Monitoring and Data Collection - A comprehensive "sky-ground-water-engine" integrated monitoring system is necessary to ensure precise, synchronous, and timely data collection from all water management objects [4]. - The system aims for full coverage of all water management entities, ensuring continuous and accurate data acquisition regardless of environmental conditions [4]. Group 4: Data Sharing and Standards - There is a need to revise monitoring standards to meet the requirements of the digital twin water conservancy system, ensuring high-frequency and online operation of data collection [5]. - Strengthening data sharing across regions and departments is crucial for effective management and utilization of water-related data [5]. Group 5: Technological Advancements - Accelerating the development and application of monitoring technologies, including satellite remote sensing and new equipment like drones and underwater robots, is vital for real-time monitoring of water-related parameters [6]. Group 6: Mathematical Modeling - High-fidelity mathematical models are critical for accurately mapping physical processes and enabling predictive capabilities within the digital twin water conservancy system [7]. - The focus should be on developing hybrid models that integrate mechanistic and statistical approaches to enhance predictive accuracy [8]. Group 7: Continuous Improvement - The digital twin water conservancy system must evolve through practical application and real-time upgrades to meet the changing demands of water governance and management [8].