结合“7.18河南特大暴雨”灾害事故背景，针对易造成城市内涝灾害的突发性极端强降雨提出一种极端强降雨风险早期识别的方法。基于气象水文部门的实时雨量大数据，实时监测区域内的短时极端强降雨灾害时空分布，对山区和沿海、城市和乡村等不同地区1小时、3小时、6小时、24小时等极端强降雨进智能频率风险分析和可视化展示，实现短时极端强降雨及可能引发次生灾害风险的早识别，为精准研判、精准调度、精准指挥提供智能解决方案。

Combined with the disaster accident background of "7.18 heavy rain in Henan", this paper puts forward a method for early identification of Extreme Heavy Rainfall risk, which is easy to cause urban waterlogging disaster. Based on the real-time rainfall big

data of the meteorological and hydrological department, the temporal and spatial distribution of short-term Extreme Heavy Rainfall

disasters in the region is monitored in real time, and the intelligent frequency risk analysis and visual display of 1-hour, 3-hour, 6-hour and 24-hour Extreme Heavy Rainfall in mountainous areas, coastal areas, cities and rural areas are carried out, so as to realize the early identification of short-term Extreme Heavy Rainfall and possible secondary disaster risks. It provides intelligent solutions for accurate research and judgment, accurate dispatching and accurate command.