城市化
大洪水
洪水(心理学)
环境规划
气候变化
环境科学
比例(比率)
电流(流体)
人口
环境资源管理
地理
工程类
地质学
地图学
经济增长
电气工程
海洋学
社会学
人口学
经济
考古
心理治疗师
心理学
作者
Kaihua Guo,Mingfu Guan,Dapeng Yu
标识
DOI:10.5194/hess-25-2843-2021
摘要
Abstract. Urbanisation is an irreversible trend as a result of social and economic development. Urban areas, with high concentration of population, key infrastructure, and businesses, are extremely vulnerable to flooding and may suffer severe socio-economic losses due to climate change. Urban flood modelling tools are in demand to predict surface water inundation caused by intense rainfall and to manage associated flood risks in urban areas. These tools have been rapidly developing in recent decades. In this study, we present a comprehensive review of the advanced urban flood models and emerging approaches for predicting urban surface water flooding driven by intense rainfall. The study explores the advantages and limitations of existing model types, highlights the most recent advances, and identifies major challenges. Issues of model complexities, scale effects, and computational efficiency are also analysed. The results will inform scientists, engineers, and decision-makers of the latest developments and guide the model selection based on desired objectives.
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