| 摘要: |
| 摘?要：【目的】为了在监测资料缺乏地区划分内涝灾害风险等级，开展内涝风险预警，本文借鉴山洪临界雨量相关计算方法推求隐患点临界雨量，【方法】以满洲里为例，联合采用单站临界雨量法和反距离加权法对现有气象站网雨量监测资料、内涝过程积水深度、小时降雨量、内涝隐患点地理信息等资料，进行分析计算。【结果】得出互贸区、基准站等7个自动雨量站，四个内涝预警等级下17个单站临界雨量值在2.5 ～ 39.6之间。华埠大街套娃广场门前等23个内涝隐患点，四个内涝预警等级下92个致灾临界雨量值在4.30 ～ 29.11之间。【结论】根据计算得出的隐患点致灾临界雨量，开展内涝灾害风险等级预警服务，取得了良好的效果。 |
| 关键词: 内涝隐患点;反距离加权法;致灾临界雨量 |
| DOI： |
| 投稿时间：2023-05-05修订日期：2024-03-19 |
| 基金项目:内蒙古自治区气象局引导性创新“满洲里城市内涝风险预警服务技术研究”(nmqxydcx202225)。 |
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| Analysis and calculation of critical rainfall for waterlogging disaster based on inverse distance weighting method |
| ZHAO Biying,GUO Yonghui,WANG Lu,YAN Aixia,ZHENG Shimao |
| (Manzhouli Meteorological Bureau of Inner Mongolia Autonomous Region;Plain and Bordered White Banner Meteorological Bureau of Inner Mongolia Autonomous Region,Plain and Bordered White Banner) |
| Abstract: |
| Abstract: With the purpose to rank areas with insufficient monitoring data in order of their waterlogging risks and enhance the early warning system, the paper obtained critical rainfall values in the danger-hidden points by drawing on critical rainfall calculation model of flash flood. Taking Manzhouli as an example, we adopted a combination of single station critical rainfall method and inverse distance weighting method for analysis of existing rainfall monitoring data in meteorological station networks, waterlogging depth during the process, hourly rainfall, and geographical information of waterlogging danger-hidden points. Our findings assert that under the four waterlogging warning levels,. critical rainfall values for 17 single stations range from 2.5 to 39.6 in seven automatic rainfall stations, including the Mutual Trade zone and the benchmark station and 92 critical rainfall values for 23 danger-hidden points in front of the Taowa Square on Huabu Street vary from 4.30 to 29.11. Application of these critical rainfall values to waterlogging risk warning have achieved good effects. |
| Key words: potential waterlogging points; Inverse distance weighting method; Disaster-causing critical rainfall |
