雨量预测模型数据
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依托该区域的实时雨强、最大降雨量等数据，构建区域化内涝风险预警模型。当监测到雨强达到50mm/h且呈上升趋势，或短时间内最大降雨量快速突破 100mm时，系统自动触发分级预警：一级预警（雨强≥50mm/h）时，通过社区公告、政务 APP 推送提醒，告知居民避开低洼路段；二级预警（雨强≥100mm/h）时，联动街道办、物业提前做好地下车库挡水板铺设、排水泵调试等准备，同时协调交警在易积水路口设置警示标识，避免车辆涉水遇险，切实降低降雨对居民出行安全的威胁。1、数据采集：采集近两月雨量数据，包含：序号、区域、时间等字段；2、数据处理：对采集到的数据进行分类、梳理，便于分析使用；3、算法加工：（1）模型描述：建立雨量预测模型，将整个义乌市划分成1平方公里的格子，对未来两小时进行预测，每个格子会有24个值（每5min一次，共24次）；以江东污水厂为例：假设江东污水厂占10个格子，表格最大降雨量（mm/2h）：每个格子24个值相加，取10个格子中最大值；表格平均降雨量（mm/2h）：10个格子，每个格子都计算出2小时降雨总量，取平均值；（2）计算雨强：雨强（mm/h）=（最大降雨量（mm/2h）+平均降雨量（mm/2h））/2；（3）分级预警：一级预警（雨强≥50mm/h）；二级预警（雨强≥100mm/h）。
Relying on real-time rainfall intensity, maximum rainfall and other relevant data of the target area, a regional urban waterlogging risk early warning model is constructed. When it is detected that the rainfall intensity reaches 50 mm/h and exhibits an upward trend, or the short-term maximum rainfall rapidly exceeds 100 mm, the system automatically activates graded early warnings: For Level 1 warning (rainfall intensity ≥ 50 mm/h), send push reminders via community announcements and government affairs APPs to inform residents to avoid low-lying road sections; For Level 2 warning (rainfall intensity ≥ 100 mm/h), coordinate with subdistrict offices and property management teams to make pre-emptive preparations including laying water baffles for underground garages and debugging drainage pumps, meanwhile arrange traffic police to set up warning signs at waterlogging-prone intersections to prevent vehicles from getting into trouble when wading through water, thereby effectively reducing the threat of rainfall to residents' travel safety. 1. Data Collection: Collect rainfall data from the past two months, including fields such as serial number, region, time and other related items; 2. Data Processing: Classify and organize the collected data to facilitate subsequent analysis and application; 3. Algorithm Processing: (1) Model Description: Establish a rainfall prediction model by dividing the entire Yiwu City into 1-square-kilometer grids, and conduct predictions for the next two hours. Each grid will generate 24 predicted values (once every 5 minutes, for a total of 24 times). Taking Jiangdong Sewage Treatment Plant as an example: assuming that the plant covers 10 grids, the table's maximum rainfall (mm/2h) is calculated by summing the 24 values of each grid and taking the maximum value among the 10 grids; the table's average rainfall (mm/2h) is calculated by calculating the 2-hour total rainfall for each of the 10 grids and then taking the average value; (2) Rainfall Intensity Calculation: Rainfall intensity (mm/h) = (maximum rainfall (mm/2h) + average rainfall (mm/2h)) / 2; (3) Graded Early Warning: Level 1 warning (rainfall intensity ≥ 50 mm/h); Level 2 warning (rainfall intensity ≥ 100 mm/h).
