中国防汛抗旱2026，Vol.36Issue(8)：17-27,11.DOI:10.16867/j.issn.1673-9264.2026352
复杂地形山区山洪灾害预警人工智能技术应用进展
Research progress in the application of AI technologies for flash flood disaster early-warning in mountainous regions with complex terrain
摘要
Abstract
In response to the problems of fast disaster causing process,short prediction period,and difficulty in early warning of flash floods in complex terrain mountainous areas,the research progress of artificial intelligence technology in meteorological forecasting,rainfall monitoring,flood forecasting,and knowledge reasoning has been systematically summarized according to the temporal logic of"early warning-short-term warning-dynamic warning-risk warning".The research has found that Artificial Intelligence(AI)is driving a transition in flash flood early warning from empirical threshold-based identification toward multi-source data fusion,process-mechanism coupling,and intelligent risk inference,thereby improving rainfall forecasting,flood simulation,and decision-support capabilities.However,flash flood warning in complex mountainous regions still faces major challenges,including the scarcity of extreme rainfall samples,difficulties in cross-basin process transfer,and constraints on operational deployment.Future research should strengthen collaborative modeling of meteorological,hydrological,and flash-flood disaster-chain processes,develop physically constrained transfer learning methods,and improve risk governance for AI-based warning models.These advances will enhance the accuracy,generalization capacity,reliability,and practical applicability of flash flood early-warning models.关键词
山洪灾害/预警模型/预见期/人工智能/复杂地形山区Key words
flash flood disaster/early-warning model/lead time/Artificial Intelligence(AI)/mountainous regions with complex terrain分类
建筑与水利引用本文复制引用
闫志崟,张紫琦,孙福宝,李永坤,吴锋,沈岗..复杂地形山区山洪灾害预警人工智能技术应用进展[J].中国防汛抗旱,2026,36(8):17-27,11.基金项目
国家自然科学基金(41971233). （41971233）
