雨水径流监测数据集

本数据集聚焦城市雨水径流监测，覆盖屋面、路面、绿地等下垫面类型及典型海绵城市试点区域。数据内容包括监测点信息、降雨特征（量、强度、历时）、径流特征（总量、系数、峰值、滞后时间）、水质指标（SS、COD、TP、NH₃-N等）及初期冲刷效应等维度。适用于雨水径流规律研究、海绵城市绩效评估、排水管网设计参数率定、非点源污染负荷估算及智慧水务AI模型训练等场景。

This dataset focuses on urban stormwater runoff monitoring, covering underlying surface types such as roofs, pavements and green spaces, as well as typical sponge city pilot areas. It encompasses data across multiple dimensions, including monitoring site information, rainfall characteristics (rainfall volume, intensity and duration), runoff characteristics (total runoff, runoff coefficient, peak flow and lag time), water quality indicators (e.g., SS, COD, TP, NH₃-N, etc.) and first-flush effect. This dataset is applicable to scenarios including research on stormwater runoff patterns, sponge city performance assessment, calibration of design parameters for drainage pipe networks, estimation of non-point source pollution loads, and training of intelligent water management AI models.

搜集汇总

背景与挑战

背景概述

该数据集系统监测城市雨水径流，覆盖屋面、路面、绿地等多种下垫面类型及典型海绵城市试点区域。数据内容包括监测点信息、降雨特征、径流过程及水质指标，适用于海绵城市绩效评估、排水设计参数率定、非点源污染负荷估算及智慧水务模型训练等研究与应用场景。