Conference Paper

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

  • Sébastien Proust /
  • Céline Berni /
  • Martin Boudou /
  • Antoine Chiaverini /
  • Victor Dupuis /
  • Jean Baptiste Faure /
  • André Paquier /
  • Michel Lang /
  • Sebastian Guillen-Ludena /
  • Diego Lopez /
  • Emmanuel Mignot /
  • Nicolas Rivière /
  • Loic Chagot /
  • Maxime Rouzes /
  • Frédéric Moulin /
  • Nicole Goutal /
  • Marina Oukacine /
  • Yann Peltier /
  • Rui M.l. Ferreira /
  • Moisés Brito /
  • Elsa Alves /
  • Miltiadis Gymnopoulos /
  • Joao Leal /
  • Bastien Mathurin /
  • Sandra Soarez-Frazao /
  • Didier Bousmar /
  • Joao Fernandes /
  • Olivier Eiff
Conference Proceeding cp
E3S Web of Conferences
  • Volumen: 7
  • Fecha: 20 October 2016
  • ISSN: 22671242
  • Source Type: Conference Proceeding
  • DOI: 10.1051/e3sconf/20160704004
  • Document Type: Conference Paper
  • Publisher: EDP Sciences
© 2016 The Authors, published by EDP Sciences.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.

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