城市内涝耦合模型

根据降雨、管道监测流量和水位、实时积水事件等数据对模型进行率定校验，对排水管网排水能力和城市内涝风险进行分析评估，提供积水模型计算结果。

Calibration and validation of the model are conducted based on datasets including rainfall, monitored flow and water level in pipelines, real-time waterlogging events, and other relevant data. The model is then applied to analyze and assess the drainage capacity of the urban drainage pipe network and urban waterlogging risks, and provide the calculation results of the waterlogging model.

搜集汇总

背景与挑战

背景概述

该数据集是一个算法模型，用于分析评估城市排水管网排水能力和内涝风险，结合实时积水事件数据和机器学习技术，提供内涝预测结果。模型通过多源数据整合和AI算法，提升内涝预测的精准度和管理效率。