中国水利Issue(7)：48-54,7.DOI:10.3969/j.issn.1000-1123.2025.07.006
长江中下游崩岸监测与预警技术研究进展及展望
Progress and future prospects of bank collapse monitoring and early warning technologies in the middle and lower reaches of the Yangtze River
摘要
Abstract
Water and sediment conditions in the middle and lower reaches of the Yangtze River have undergone significant changes,resulting in a state of high-intensity erosion of the riverbed and frequent occurrences of riverbank collapses.In order to respond to its threat to flood control,navigation and shoreline utilization,the Hydrological Bureau of Yangtze River Water Resources Commission of MWR has established a monitoring and early warning system with"integration of traditional and advanced monitoring methods,combination of qualitative and quantitative early warning,and support of information platform"based on years of practices and scientific research.Regarding monitoring,manual inspection and river terrain mapping adopted in the early days has been gradually updated to comprehensive ways such as laser radar,multi-beam depth measurement,satellite remote sensing and UAV cruising.Regarding early warning,empirical recognition and quantitative models based on mechanism theory and indicator system have been transformed to formation and extension of information warning platforms.In the future,it shall be deeply integrated with the latest information technology such as digital twin,big data and artificial intelligence to play a bigger role in establishment of twin data base,real-time identification and quick response to dangerous situations,long-term river simulation and scenario prediction and provide technical support for ensuring safety of the Yangtze River and sustainable development of regional economy and society.关键词
长江中下游/崩岸/监测技术/预警平台/数字孪生水利/人工智能Key words
middle and lower reaches of the Yangtze River/bank collapse/monitoring technology/warning platform/digital twin water resources/artificial intelligence分类
水利科学引用本文复制引用
陈柯兵..长江中下游崩岸监测与预警技术研究进展及展望[J].中国水利,2025,(7):48-54,7.基金项目
国家重点研发计划课题(2023YFC3209502). （2023YFC3209502）
