Abstract
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.
Highlights
Flooding is a common, widespread, and frequent natural hazard that causes severe socio-economic loss and environmental impact worldwide (Barredo, 2009; Teng et al, 2017)
Flood risk is exceptionally high in urban areas where the land surface varies, and anthropogenic activities cause remarkable changes in hydrological processes (Guan et al, 2015; Sillanpää and Koivusalo, 2015)
Flood risk management has historically focused on fluvial and coastal flooding, with significantly less emphasis on urban surface water flooding
Summary
Widespread, and frequent natural hazard that causes severe socio-economic loss and environmental impact worldwide (Barredo, 2009; Teng et al, 2017). IPCC (2014) indicated that climate change will cause extreme precipitation events that are more intense and frequent in many regions, leading to greater flood risks It is crucial for effective flood risk management to develop modelling techniques that simulate and predict the dynamic processes of storm-induced urban flooding. Sophisticated models can predict more flood information but at the cost of more high-quality data input and expensive computation Still in their infancy, models for reproducing the interaction of surface water and drainage flows are being developed (Leandro et al, 2009; Seyoum et al, 2012; Bazin et al, 2014).
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