中国水利Issue(15)：1-8,8.DOI:10.3969/j.issn.1000-1123.2026.15.001
数智水利应用风险及其防控对策
Risk analysis and prevention strategies for digital-intelligent water conservancy applications
摘要
Abstract
As the application of digital-intelligent technologies in China's water conservancy sector gradually transitions from pilot exploration to a new stage of systematic development,these technologies are becoming deeply embedded in the critical junctures of daily management,operational decision-making,and engineering control.While this integration substantially enhances governance efficiency,it also exposes system operations to emerging risks and vulnerabilities.To systematically identify the risks inherent in digital-intelligent water conservancy applications and ensure their safe,reliable,trustworthy,and controllable operation,this study,based on the architecture and operational principles of digital twin water conservancy,identifies six strong dependency characteristics of these applications—namely,on data,models,computing power,networks,knowledge,and centralized control.The study further reveals the composite challenges arising from these dependencies,including data risks,model risks,computing risks,knowledge risks,network risks,and centralized-control risks.In response,a multi-dimensional risk prevention and control framework is proposed from four interconnected dimensions—institutional development,technical safeguards,capacity building,and resilience enhancement.Key measures encompass the formulation of national strategies and comprehensive security frameworks,the improvement of laws,regulations,and standards,the establishment of collaborative oversight and third-party audit mechanisms,full life-cycle data governance,trusted AI and comprehensive model governance,the development of autonomous and resilient computing power and network infrastructure,organizational restructuring and process re-engineering,the cultivation of digital-intelligent talent,human-machine collaboration and knowledge management,the design of federal hybrid resilient architectures,routine red team vs.blue team cyber defense exercises,and the development of extreme scenario emergency plans.This research provides technical support for preventing and mitigating systemic risks in digital-intelligent water conservancy applications.关键词
数智水利/数字孪生水利/强依赖特性/复合型风险/可信AI/韧性架构/风险防控Key words
digital-intelligent water conservancy/digital twin water conservancy/strong dependency characteristics/composite risk/trusted AI/resilient architecture/risk prevention and control分类
建筑与水利引用本文复制引用
蒋云钟,冶运涛..数智水利应用风险及其防控对策[J].中国水利,2026,(15):1-8,8.基金项目
国家重点研发计划项目(2023YFC3209302-03) （2023YFC3209302-03）
国家自然科学基金面上项目(52279031) （52279031）
国家自然科学基金青年项目(52309040). （52309040）
