Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-3175-2021
© 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/nhess-21-3175-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Flood–pedestrian simulator for modelling human response dynamics during flood-induced evacuation: Hillsborough stadium case study
Mohammad Shirvani
Department of Civil and Structural Engineering, University of
Sheffield, Mappin St, Sheffield City Centre, Sheffield S1 3JD, UK
Georges Kesserwani
CORRESPONDING AUTHOR
Department of Civil and Structural Engineering, University of
Sheffield, Mappin St, Sheffield City Centre, Sheffield S1 3JD, UK
Related authors
No articles found.
Alovya Chowdhury and Georges Kesserwani
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-152, https://doi.org/10.5194/gmd-2024-152, 2024
Revised manuscript accepted for GMD
Short summary
Short summary
LISFLOOD-FP 8.2 is a framework for running real-world simulations of rapid, multiscale floods driven by impact events like tsunamis. It builds on the LISFLOOD-FP 8.0 and 8.1 papers published in GMD: whereas LISFLOOD-FP 8.0 focussed on GPU-parallelisation, and LISFLOOD-FP 8.1 focussed on static mesh adaptivity of (multi)wavelets, LISFLOOD-FP 8.2 combines GPU-parallelisation with multiwavelet dynamic mesh adaptivity to drastically reduce simulation runtimes, achieving up to a 4.5-fold speedup.
Mohammad Kazem Sharifian, Georges Kesserwani, Alovya Ahmed Chowdhury, Jeffrey Neal, and Paul Bates
Geosci. Model Dev., 16, 2391–2413, https://doi.org/10.5194/gmd-16-2391-2023, https://doi.org/10.5194/gmd-16-2391-2023, 2023
Short summary
Short summary
This paper describes a new release of the LISFLOOD-FP model for fast and efficient flood simulations. It features a new non-uniform grid generator that uses multiwavelet analyses to sensibly coarsens the resolutions where the local topographic variations are smooth. Moreover, the model is parallelised on the graphical processing units (GPUs) to further boost computational efficiency. The performance of the model is assessed for five real-world case studies, noting its potential applications.
James Shaw, Georges Kesserwani, Jeffrey Neal, Paul Bates, and Mohammad Kazem Sharifian
Geosci. Model Dev., 14, 3577–3602, https://doi.org/10.5194/gmd-14-3577-2021, https://doi.org/10.5194/gmd-14-3577-2021, 2021
Short summary
Short summary
LISFLOOD-FP has been extended with new shallow-water solvers – DG2 and FV1 – for modelling all types of slow- or fast-moving waves over any smooth or rough surface. Using GPU parallelisation, FV1 is faster than the simpler ACC solver on grids with millions of elements. The DG2 solver is notably effective on coarse grids where river channels are hard to capture, improving predicted river levels and flood water depths. This marks a new step towards real-world DG2 flood inundation modelling.
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Short summary
Flooding in and around urban hubs can stress people. Immediate evacuation is a usual countermeasure taken at the onset of a flooding event. The flood–pedestrian simulator simulates evacuation of people prior to and during a flood event. It provides information on the spatio-temporal responses of individuals, evacuation time, and possible safe destinations. This study demonstrates the simulator when considering more realistic human body and age characteristics and responses to floodwater.
Flooding in and around urban hubs can stress people. Immediate evacuation is a usual...
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