Reference : Dam Break Flow Modelling and Geographical Distribution of the Roughness Coefficient
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Civil engineering
http://hdl.handle.net/2268/26977
Dam Break Flow Modelling and Geographical Distribution of the Roughness Coefficient
English
Paulus, Raphaël mailto [Université de Liège - ULg > Département Argenco : Secteur MS2F > Hydrodynamique appl. et constructions hydrauliques (HACH) >]
Ernst, Julien mailto [Université de Liège - ULg > Département Argenco : Secteur MS2F > Hydrodynamique appl. et constructions hydrauliques (HACH) >]
Dewals, Benjamin mailto [Université de Liège - ULg > Département Argenco : Secteur MS2F > Hydrodynamique appl. et constructions hydrauliques (HACH) >]
Archambeau, Pierre mailto [Université de Liège - ULg > Département Argenco : Secteur MS2F > Hydrodynamique appl. et constructions hydrauliques (HACH) >]
Erpicum, Sébastien mailto [Université de Liège - ULg > Département Argenco : Secteur MS2F > Hydraulique génér., const. hydraul. et méc. des fluides >]
Pirotton, Michel mailto [Université de Liège - ULg > Département Argenco : Secteur MS2F > Hydrodynamique appl. et constructions hydrauliques (HACH) >]
2009
Proc. 33rd IAHR Congress: Water Engineering for a Sustainable Environment (pp. 2429-2436)
IAHR
Yes
International
978-94-90365-01-1
Vancouver
Canada
33rd IAHR 2009 Congress - Water Engineering for a Sustainable Environment
du 9 aout 2009 au 14 aout 2009
IAHR
Vancouver
Canada
[en] Dam break flow modelling is a major field of research. In order to enable risk
analysis in the downstream valleys of dams, 2D numerical simulations are of prime
interest. These are based on the conservative set of shallow water equations. Beyond
their numerical implementation, the challenge of the computation relies on the ability
to handle very huge sets of high-precision data, in order to get the highest possible
accuracy, whereas the computational time must remain realistic for simulations
carried out on real valleys topography.
In this paper, a simulation on about 2 500 000 cells is presented. Particularly, the
results are compared and discussed regarding especially the exploitation of landuse
data for the roughness. Beyond the examples of validation, the relevance of the
developed methodology appears to be essential in the framework of risk analysis.
Aquapôle - AQUAPOLE
http://hdl.handle.net/2268/26977

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