中国海洋大学学报（自然科学版）2025，Vol.55Issue(5)：1-9,9.DOI:10.16441/j.cnki.hdxb.20240127
考虑城市排水管网的风暴潮降雨复合淹没数值模拟研究
Numerical Simulation of Compound Floods from Storm Surge and Extreme Precipitation Considering the Urban Pipe Network:A Case Study of Qingdao Shinan District,China
摘要
Abstract
Storm surges are the most severe marine disasters,rainstorms are the direct factor leading to urban waterlogging,and urban pipe networks are the infrastructure to reduce flood disasters.It is of great significance to carry out simulation research on the composite inundation caused by the compound floods from storm surges and extreme precipitation considering the urban pipe network,which reveals the occurrence rule of compound floods and guides urban disaster prevention and reduction on this basis.A coupling model of storm surge and urban rain-flood is constructed by open-source data which using mean sea level of the offshore sea in the study area,and Greenwich Mean Time and combining sensitivity experiments,taking the Shinan District of Qingdao as an example.A compound flood event was constructed using GPM IMERG rainfall data and the best path data set provided by the Tropical Cyclone Data Center of China Meteorological Administration,revealing storm surge and tide and sea level rise's effects on compound floods.The results show that the complex inundation is mainly regulated by the astronomical tide.The high tide process intensifies floods,the low tide process reduces floods,and surge influences floods by influencing offshore water level,which mainly reflected in the increase of coastal land inundation.Rainfall inundation was increased because of the rise in sea level,which influenced the discharge of drainage systems.关键词
风暴潮-降雨复合淹没/ADCIRC-SWMM耦合模型/数值模拟Key words
compound floods from surge and precipitation/ADCIRC-SWMM coupled model/numeri-cal simulation分类
海洋科学引用本文复制引用
钱闯,毛新燕,江文胜..考虑城市排水管网的风暴潮降雨复合淹没数值模拟研究[J].中国海洋大学学报（自然科学版）,2025,55(5):1-9,9.基金项目
科技基础资源调查专项(2022FY100303)资助Supported by the Science and Technology Fundamental Resources Investigation Program(2022FY100303) （2022FY100303）
