人民珠江2025，Vol.46Issue(1)：9-22,14.DOI:10.3969/j.issn.1001-9235.2025.01.002
机器学习模型在城市内涝模拟预报中的应用综述
An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting
摘要
Abstract
In recent years,the frequent occurrence of extreme rainstorms has been prone to causing urban flood disasters,directly affecting people's lives and property safety.To enhance the level of urban emergency management and effectively formulate urban disaster pre vention and mitigation strategies,there is an urgent need to develop an accurate and efficient urban flood simulation and forecasting model.The rapidly developed artificial intelligence technology gradually shows great potential and value in urban flood simulation and forecasting.By systematically searching and synthesizing the relevant literature published in the recent decade,this paper sorted out the background,trend causes,and research hotspots of urban floods.Additionally,this paper also focused on the research on urban flood simulation and forecasting models based on machine learning algorithms published in the recent five years,summarized the technical processes for urban flood simulation and forecasting models based on machine learning algorithms,and proposed several current technological bottlenecks and potential solutions.Finally,this study summarized the technical advantages,further development directions,and application prospects of machine learning models,so as to provide a reference for future research on urban flood simulation and forecasting and disaster prevention and mitigation.关键词
城市内涝/机器学习模型/模拟预报Key words
urban flood/machine learning model/simulation and forecasting分类
信息技术与安全科学引用本文复制引用
陈泽明,方序鸿,李家叶,汪孟尧,陈爱芳,尹玲..机器学习模型在城市内涝模拟预报中的应用综述[J].人民珠江,2025,46(1):9-22,14.基金项目
国家自然科学基金(52109079) （52109079）
青海省重大科技专项(2021-SF-A6) （2021-SF-A6）
广东省城市生命线工程智慧防灾与应急技术重点实验室(2022B1212010016) （2022B1212010016）
