区域致洪降水分类和洪涝危险性分区是城市防洪排涝的重要手段。本研究以太湖流域的武澄锡虞区作为研究区域，选取无锡、常州、江阴和张家港 4个国家基本气象站 1967-2021年的降水数据，及历史梅雨、台风资料序列来进行致洪降水分类，并结合无锡、常州等水文水位站的逐日水位数据，引入水动力模型借助组合情景法模拟洪涝危险性。研究提取致洪降水 1183 d，其月际分布呈两类特征：常州、江阴和张家港 3站 7月致洪降水频次最高，8月和 6月次之；无锡站则按 6月、7月和 8月递减，峰值较其他3站提前1个月。4站共同致洪降水事件87场，经时间重叠法确定梅雨型30场、台风型16场、台风遭遇梅雨型 4场，其他类型 37场；其时程分别呈近似正态分布的单峰、双峰、左偏单峰和右偏单峰，累计致洪降水量自高至低依次为其他类型、梅雨型、台风型和台风遭遇梅雨型。四类致洪降水空间分布差异显著，除台风型以无锡为高值区外，其他 3类以无锡为低值区。基于城市化进程 2010年和 2020年两个关键期，耦合四类致洪降水及两种空间分布权重、三档客水影响、两档排涝强度，模拟出武澄锡虞区96种暴雨洪涝淹没情景。主要结论如下：（1）高等级（对应1级）危险区集中在河道及沿岸，其面积比例、均值和标准差随降水权重增大而增加；（2）考虑主要土地利用类型后，排涝措施可使人造地表高等级危险区比例降低 2. 65%~23. 78%；（3）无锡市梁溪区人造地表高等级危险区比例为各区（市）最高，可能归因于无锡致洪降水峰值月超前出现且地形“南高北低”，其次为常州市天宁区和苏州市张家港市；（4）地形和土地利用类型是控制淹没结果的主要因子，危险区分布差异与致洪类型、权重和排涝强度相关。本研究可为流域-区域-城市防洪排涝提供决策依据和背景，促进长江经济带和长三角一体化协调发展。

The classification of regional flood-triggering precipitation and the zoning of flood hazards are essential approaches for urban flood prevention and drainage. This study focuses on the Wuchengxiyu Region within the Taihu Lake Basin，utilizing precipitation data from 1967 to 2021 collected from four national meteorological stations（Wuxi，Changzhou，Jiangyin，and Zhangjiagang），along with historical Meiyu and typhoon data series，to classify flood-triggering precipitation events. By integrating daily water level data from hydrological stations such as Wuxi and Changzhou，a hydrodynamic model was employed with a combined scenario method to simulate flood risk. A total of 1，183 days of flood-triggering precipitation were identified，exhibiting two dis‐ tinct monthly distribution patterns：the frequencies at Changzhou，Jiangyin，and Zhangjiagang were the highest in July，followed by August and June，while at Wuxi Station the frequencies decreased sequentially from June to August，with the peak occurring one month earlier than at the other three stations. Eighty-seven joint flood-trig‐gering precipitation events were identified across the four stations. Using the temporal overlap method，these events were classified into 30 Meiyu-type，16 typhoon-type，4 typhoon-Meiyu combined type，and 37 othertype events. Their temporal distributions showed approximately unimodal normal，bimodal，left-skewed unimodal，and right-skewed unimodal patterns，respectively. The cumulative flood-triggering precipitation amounts， from highest to lowest，were other-type，Meiyu-type，typhoon-type，and typhoon-Meiyu combined type. The spatial distributions of the four flood-triggering precipitation types differed significantly：except for the typhoontype，which had its high-value zone in Wuxi，the other three types exhibited low-value zones in Wuxi. Based on two key stages of urbanization in 2010 and 2020，coupled with the four flood-triggering precipitation types，two spatial distribution weighting schemes，three levels of external inflow impact，and two drainage capacity levels， 96 storm flood inundation scenarios were simulated for the Wuchengxiyu Region. The main conclusions are as follows：（1）High-risk zones（corresponding to Level 1）are concentrated along rivers and their banks，with their areal proportion，mean，and standard deviation increasing with greater precipitation weighting；（2）After accounting for major land use types，drainage measures can reduce the proportion of high-risk zones on artificial surfaces by 2. 65%-23. 78%；（3）Liangxi District of Wuxi exhibits the highest proportion of high-risk zones on artificial surfaces among all districts（cities），which may be attributed to the earlier peak month of flood-trigger‐ing precipitation in Wuxi and its topographical feature of "higher in the south and lower in the north"，followed by Tianning District of Changzhou and Zhangjiagang of Suzhou；（4）Topography and land use types are key fac‐ tors controlling inundation outcomes，while differences in high-risk zone distributions are associated with floodtriggering types，weighting schemes，and drainage measures. This study can provide a decision-making basis and context for watershed-regional-urban flood prevention and drainage，contributing to the coordinated development of the Yangtze River Economic Belt and Yangtze River Delta integration.