城市内涝监测组件

以内涝治理为目标，以雨水系统一张图为基础，基于内涝防治规划编制成果，结合气象数据、河道数据、地形数据、管线数据，嵌入优化后的内涝实时预测模型，并结合大数据分析结果分级分类预警内涝隐患点，结合实际涝点不断优化预测模型，为城市防涝防台风险监测预警平台提供底数数据及预警数据支撑。

This dataset is targeted at urban waterlogging governance, built on the 'one-map' platform of urban rainwater systems and the compiled results of waterlogging prevention and control planning. It integrates meteorological data, river channel data, topographic data and pipeline data, embeds an optimized real-time waterlogging prediction model, and carries out graded and classified early warnings for potential waterlogging hazard points based on big data analysis results. The prediction model is continuously optimized by combining actual waterlogged spots, providing basic inventory data and early warning data support for the urban flood and typhoon prevention risk monitoring and early warning platform.