Reference : Shallow water model with anisotropic porosity for flood modelling on Cartesian grids
Scientific congresses and symposiums : Unpublished conference/Abstract
Engineering, computing & technology : Civil engineering
http://hdl.handle.net/2268/207585
Shallow water model with anisotropic porosity for flood modelling on Cartesian grids
English
Bruwier, Martin mailto [Université de Liège > Département ArGEnCo > Hydraulics in Environmental and Civil Engineering >]
Archambeau, Pierre mailto [Université de Liège > Département ArGEnCo > HECE (Hydraulics in Environnemental and Civil Engineering) >]
Erpicum, Sébastien mailto [Université de Liège > > Scientifiques attachés au Doyen (Sc.appliquées) >]
Pirotton, Michel mailto [Université de Liège > Département ArGEnCo > HECE (Hydraulics in Environnemental and Civil Engineering) >]
Dewals, Benjamin mailto [Université de Liège > Département ArGEnCo > Hydraulics in Environmental and Civil Engineering >]
Jun-2017
No
International
4th International Symposium of Shallow Flows
du 26 juin 2017 au 28 juin 2017
Eindhoven University Technology
Eindhoven
Netherlands
[en] Shallow water ; Cartesian grid ; Urban floods
[en] Detailed topographic data have become widely available for inundation mapping. While the use of such high-resolution data enables the computation of flow variables at a fine scale, the computation time remains too high for many practical applications. In contrast, models solving the shallow-water equations with porosity provide a useful tool to improve the computational efficiency, while preserving to some extent the detailed topographic information through porosity parameters. In this study, we present a new model solving the fully dynamic shallow water equations with anisotropic porosity based on Cartesian grids. Using a Cartesian grid leads to specific challenges, particularly as regards the definition of the conveyance porosities at the cell edges. Moreover, the presented model is further improved by a merging method so as to increase the computational efficiency without affecting the overall accuracy. The performance of the model has been evaluated based on a wide range of test cases, which confirm the validity of the model and the benefits of such a modelling framework.
ARC grant for Concerted Research Actions, financed by the Wallonia-Brussels Federation
ARC - Floodland
http://hdl.handle.net/2268/207585

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