Preprints
https://doi.org/10.5194/hess-2020-655
https://doi.org/10.5194/hess-2020-655

  16 Dec 2020

16 Dec 2020

Review status: a revised version of this preprint was accepted for the journal HESS and is expected to appear here in due course.

Urban surface water flood modelling – a comprehensive review of current models and future challenges

Kaihua Guo1, Mingfu Guan1, and Dapeng Yu2 Kaihua Guo et al.
  • 1Department of Civil Engineering, the University of Hong Kong, Hong Kong, 00000, China
  • 2Geography and Environment, Loughborough University, Loughborough, LE11 3TT, United Kingdom

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.

Kaihua Guo et al.

 
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Kaihua Guo et al.

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