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.
Funding
Early Career Scheme from Hong Kong Research Grant Council (Grant number: 27202419)
This is an Open Access Article. It is published by Copernicus Press under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/