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City-scale hydrodynamic modelling of urban flash floods: the issues of scale and resolution

Author

Listed:
  • Yun Xing

    (Coastal and Offshore Engineering, Hohai University)

  • Qiuhua Liang

    (Coastal and Offshore Engineering, Hohai University
    Loughborough University)

  • Gang Wang

    (Coastal and Offshore Engineering, Hohai University)

  • Xiaodong Ming

    (Newcastle University)

  • Xilin Xia

    (Loughborough University)

Abstract

Hydrodynamic models have been widely used in urban flood modelling. Due to the prohibitive computational cost, most of urban flood simulations have been currently carried out at low spatial resolution or in small localised domains, leading to unreliable predictions. With the recent advance in high-performance computing technologies, GPU-accelerated hydrodynamic models are now capable of performing high-resolution simulations at a city scale. This paper presents a multi-GPU hydrodynamic model applied to reproduce a flood event in a 267.4 km2 urbanised domain in Fuzhou, Fujian Province, China. At 2 m resolution, the simulation is completed in nearly real time, demonstrating the efficiency and robustness of the model for high-resolution flood modelling. The model is used to further investigate the effects of varying spatial resolution and using localised domains on the simulation results. It is recommended that urban flood simulations should be performed at resolutions higher than 5 m and localised simulations may introduce unacceptable numerical errors.

Suggested Citation

  • Yun Xing & Qiuhua Liang & Gang Wang & Xiaodong Ming & Xilin Xia, 2019. "City-scale hydrodynamic modelling of urban flash floods: the issues of scale and resolution," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(1), pages 473-496, March.
    • Handle: RePEc:spr:nathaz:v:96:y:2019:i:1:d:10.1007_s11069-018-3553-z
    DOI: 10.1007/s11069-018-3553-z
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    References listed on IDEAS

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    3. Song-Yue Yang & Shaohua Marko Hsu & Ching Hsiao & Che-Hao Chang, 2023. "Digital elevation models for high-resolution base flood elevation mapping in a densely populated city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2693-2716, March.
    4. Katerina Trepekli & Thomas Balstrøm & Thomas Friborg & Bjarne Fog & Albert N. Allotey & Richard Y. Kofie & Lasse Møller-Jensen, 2022. "UAV-borne, LiDAR-based elevation modelling: a method for improving local-scale urban flood risk assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 423-451, August.
    5. Anamaria Bukvic & Guillaume Rohat & Alex Apotsos & Alex de Sherbinin, 2020. "A Systematic Review of Coastal Vulnerability Mapping," Sustainability, MDPI, vol. 12(7), pages 1-26, April.

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