Predicting the flow in the floodplains with evolving land occupations during extreme flood events (FlowRes ANR project)

Flood hazards (flow depth and velocity) must be accurately assessed in high-risk areas during extreme flood events. However, the prediction of the very high flows is not an easy task due to the lack of field data and to the strong link between flow resistance and the land occupation of the floodplai...

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Published inE3S Web of Conferences Vol. 7; p. 4004
Main Authors Proust, Sébastien, Berni, Céline, Boudou, Martin, Chiaverini, Antoine, Dupuis, Victor, Faure, Jean-Baptiste, Paquier, André, Lang, Michel, Guillen-Ludena, Sebastian, Lopez, Diego, Mignot, Emmanuel, Rivière, Nicolas, Chagot, Loic, Rouzes, Maxime, Moulin, Frédéric, Goutal, Nicole, Oukacine, Marina, Peltier, Yann, Ferreira, Rui M.L., Brito, Moisés, Alves, Elsa, Gymnopoulos, Miltiadis, Leal, Joao, Mathurin, Bastien, Soarez-Frazao, Sandra, Bousmar, Didier, Fernandes, Joao, Eiff, Olivier
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2016
Subjects
Environmental risk
Flood control
Flood predictions
Floodplains
Floods
Flow resistance
Hazard assessment
Hydraulic roughness
Inhomogeneity
Mathematical models
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Summary:Flood hazards (flow depth and velocity) must be accurately assessed in high-risk areas during extreme flood events. However, the prediction of the very high flows is not an easy task due to the lack of field data and to the strong link between flow resistance and the land occupation of the floodplain. Confinement and inhomogeneity in lateral and longitudinal directions of hydraulic roughness strongly vary with return period T. The physical processes are complex, some still largely unexplored, and the assumptions linked to numerical modelling cannot be validated without field data. The FlowRes project (2015-2018), funded by the French National Research Agency (ANR), aims at improving the flood hazard assessment in floodplains in: 1) investigating in laboratory the hydrodynamic structure associated with extreme flood flows for various land occupations and flow discharge magnitudes; 2) assessing if the existing numerical modelling practices used for T ~ 100 years are still valid for extreme events with T > 1000 years, relying on the experimental data and on one field case. This paper reports some results obtained during the first year of the project.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/20160704004