Towards fast large-scale flood simulations using 2D Shallow water modelling with depth-dependant porosity [* Cross-Reference *]

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Vita Ayoub; Carole Delenne; Patrick Matgen; Pascal Finaud‐Guyot; Renaud Hostache, 2026, "Towards fast large-scale flood simulations using 2D Shallow water modelling with depth-dependant porosity [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.RVBWLZ, LIST Open Repository, V1
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<p><span>In hydrodynamic modelling, the mesh resolution has a strong impact on run time and result accuracy. Coarser meshes allow faster simulations but often at the cost of accuracy. Conversely, finer meshes offer a better description of complex geometries but require much longer computational time, which makes their use at a large scale challenging. In this context, we aim to assess the potential of a two-dimensional shallow water model with depth-dependant porosity (SW2D-DDP) for flood simulations at a large scale. This modelling approach relies on nesting a sub-grid mesh containing high-resolution topographic and bathymetric data within each computational cell via a so-called depth-dependant storage porosity. It enables therefore faster simulations on rather coarse grids while preserving small-scale topography information. The July 2007 flood event in the Severn River basin (UK) is used as a test case, for which hydrometric measurements and spatial data are available for evaluation. A sensitivity analysis is carried out to investigate the porosity influence on the model performance in comparison with other classical parameters such as boundary conditions.</span></p> (2020-03-09)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.5194/egusphere-egu2020-11562 for the original and latest version of the publication*** (2026-07-01)
Subject Astronomy and Astrophysics; Earth and Environmental Sciences; Physics
Keyword Porosity, Context (archaeology), Polygon mesh, Scale (ratio), Flood myth, Geology, Bathymetry, Grid, Hydrology (agriculture), Geotechnical engineering, Geometry, Mathematics, Geodesy, Cartography, Geography
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