Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2843-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Urban surface water flood modelling – a comprehensive review of current models and future challenges
Kaihua Guo
Department of Civil Engineering, The University of Hong Kong, Hong
Kong, China
Department of Civil Engineering, The University of Hong Kong, Hong
Kong, China
Dapeng Yu
Geography and Environment, Loughborough University, Loughborough, LE11 3TT, United Kingdom
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- A numerical modelling-supported digital twin for urban floods monitoring in typhoon or storm scenario T. Ai et al.
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- A spatially distributed hydrodynamic model framework for urban flood hydrological and hydraulic processes involving drainage flow quantification K. Guo et al.
- A parallel porosity model for large-scale modelling of river floods in urban areas A. Ferrari
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- A cost-benefit ‘source-receptor’ framework for implementation of Blue-Green flood risk management C. Iliadis et al.
- A Sink Screening Approach for 1D Surface Network Simplification in Urban Flood Modelling G. Zhao et al.
- Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools K. Antwi-Agyakwa et al.
- Connectivity in urbanscapes can cause unintended flood impacts from stormwater systems V. Tran et al.
- Efficient Urban Flooding Management: A Multi-Physical-Process-Oriented Flood Modelling and Analysis Method Y. Liang et al.
- Real-Time Urban Flood Depth Mapping: Convolutional Neural Networks for Pluvial and Fluvial Flood Emulation M. El baida et al.
- A fast flood inundation model with groundwater interactions and hydraulic structures B. Sanders et al.
- Revisiting the concept, urban practices, current advances, and future prospects of green infrastructure O. Addo-Bankas et al.
- Enhancing cross-regional transferability of super-resolution-based flood surrogate models for data-scarce catchments W. Song & M. Guan
- The Impact of Storm Sewer Network Simplification and Rainfall Runoff Methods on Urban Flood Analysis S. Sim & H. Kim
- Contextualized transport reallocation for crisis response in smart cities E. Reolon et al.
- Assessing urban flooding risk in response to climate change and urbanization based on shared socio-economic pathways M. Wang et al.
- Evaluation of Urban Flood Governance Efficiency Based on the Data Envelopment Analysis Model and Malmquist Index: Evidence from 30 Provincial Capitals in China B. Guo et al.
- Multi-scale shifts in rainfall patterns in a subtropical region (1981–2024): challenges and implications for water management H. Wang et al.
- Assessment of the drainage systems performance in response to future scenarios and flood mitigation measures using stormwater management model T. Bibi et al.
- Prediction of water film depth on grooved airport runway induced by intense rainfall and wind K. Guo et al.
- Numerical modelling of compound flooding in Macau during Typhoon Hato considering inlets drainage effects Y. Wu et al.
- From reach to catchment-scale impacts: High-resolution hydrodynamic modelling of Nature-based solutions in the Cocker Catchment, UK B. Hill et al.
- Flood risk assessment in the Karamana river basin, Kerala, using HEC-RAS L. Vijayachandran & A. Singh
- Predicting pluvial flood impacts in data-scarce urban environments: Uncertainty and interplay between rainfall inputs and conceptual drainage loss models P. Costabile et al.
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This study presents a comprehensive review of models and emerging approaches for predicting urban surface water flooding driven by intense rainfall. It explores the advantages and limitations of existing models 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.
This study presents a comprehensive review of models and emerging approaches for predicting...