Loughborough University
Browse

Large-scale high-resolution hydrodynamic modelling of urban floods: Some practical considerations

Download (14.17 MB)
journal contribution
posted on 2025-06-30, 08:04 authored by Xiaodong Ming, Qiuhua LiangQiuhua Liang, Jinghua JiangJinghua Jiang
The last few years have witnessed a series of catastrophic urban flood events across the world. This type of extreme events has become more frequent due to climate change. Numerical modelling provides an indispensable means to support flood risk assessment and management. Simulation of the highly transient flood dynamics induced by intense rainfall requires the use of high-resolution hydrodynamic models. Accurate flood prediction needs proper representation of infiltration and drainage processes in complex urban environments, which requires high-quality soil and drainage data that are not widely available. This paper considers these challenges and explores practical approaches to integrate a high-performance hydrodynamic model with high-resolution topography data and crowd-sourced flood observations to address data gaps and support real-time simulation of urban flooding. The model is applied to reproduce a real-world flood event in the 400 km2 Tyneside metropolitan region in the UK at a 2 m resolution, with solution accuracy confirmed by crowd-sourced data. Different simulation strategies are implemented to reflect the impact of infiltration and drainage on surface flooding. It is demonstrated that infiltration and drainage capacity may be considered using conceptualised mass loss parameters, which produces better results than direct reduction to the rainfall rate. Such an approach offers a practical solution to support high-resolution urban flood modelling in large cities, particularly when essential drainage and soil data are not available.

Funding

FUTURE-DRAINAGE: Ensemble climate change rainfall estimates for sustainable drainage

UK Research and Innovation

Find out more...

PYRAMID: Platform for dYnamic, hyper-resolution, near-real time flood Risk AssessMent Integrating repurposed and novel Data sources

UK Research and Innovation

Find out more...

History

School

  • Architecture, Building and Civil Engineering

Published in

Journal of Hydro-environment Research

Volume

59

Publisher

Elsevier BV

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Acceptance date

2025-04-17

Publication date

2025-04-19

Copyright date

2025

ISSN

1570-6443

Language

  • en

Depositor

Prof Qiuhua Liang. Deposit date: 13 June 2025

Article number

100655

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC