中国水利Issue(16)：36-42,7.DOI:10.3969/j.issn.1000-1123.2026.16.006
融合人工智能的城市暴雨洪涝预报及灾害应对关键技术
Key technologies for AI-integrated urban rainstorm and flood forecasting and response
刘培 1李旭东 1钦照明 2张鹏 1王汉岗 1魏薇2
作者信息
- 1. 珠江水利委员会珠江水利科学研究院,510611,广州
- 2. 北京彩彻区明科技有限公司,100083,北京
- 折叠
摘要
Abstract
Urban areas are characterized by high concentrations of population and infrastructure,resulting in high systemic risks from flood disasters.Meanwhile,traditional defense measures are subject to engineering constraints and insufficient forecasting lead time.To address the key challenges in urban rainstorm and flood management,including inaccurate forecasting,delayed simulation,fragmented scheduling,and passive response,this study focused on core technical bottlenecks and developed four pivotal technologies:high-resolution precipitation forecasting based on AI-enabled fusion of multi-source data;rapid flood simulation coupling mechanistic models with AI techniques;intelligent reservoir group operation;and integrated urban waterlogging sensing,early warning,and emergency response.Consequently,an integrated technical system covering the entire chain of"rapid forecasting,smart scheduling,real-time sensing,and emergency response"was established.This system overcomes the limitations of conventional approaches:it achieves a 73%probability of detection(POD)for heavy precipitation(>3.5 mm/6 min)in the next 1 h at a spatial resolution of 1 km,simulates flood processes within seconds with inundation depth errors≤15 cm,generates reservoir group scheduling schemes in seconds,and attains nearly 100%accuracy in waterlogging monitoring and identification for critical infrastructure.These technologies have been successfully applied in megacities such as Guangzhou and Shenzhen,assisting water affairs and electric power authorities,among other relevant departments,in implementing proactive defense strategies,thus providing robust technical support for enhancing urban flood resilience.关键词
暴雨洪涝/韧性/人工智能/快速预报/智慧调度/城市洪涝Key words
rainstorm and flood/resilience/artificial intelligence/rapid forecasting/smart scheduling/urban flooding分类
建筑与水利引用本文复制引用
刘培,李旭东,钦照明,张鹏,王汉岗,魏薇..融合人工智能的城市暴雨洪涝预报及灾害应对关键技术[J].中国水利,2026,(16):36-42,7.
