Articles | Volume 11, issue 6
https://doi.org/10.5194/esurf-11-1199-2023
https://doi.org/10.5194/esurf-11-1199-2023
Research article
 | 
21 Nov 2023
Research article |  | 21 Nov 2023

Numerical modelling of the evolution of a river reach with a complex morphology to help define future sustainable restoration decisions

Rabab Yassine, Ludovic Cassan, Hélène Roux, Olivier Frysou, and François Pérès

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Cited articles

Aguirre, D., Bui, M., Giehl, S., Reisenbüchler, M., and Rutschmann, P.: Development of a hydro-morphodynamic Model for Sediment Management in the Rosenheim Reservoir, in: Proceedings of the Telemac User Conference 2019 (TUC2019), Zenodo, https://doi.org/10.5281/zenodo.3611498, 2020. a, b
Arnaud, F.: Approches géomorphologiques historique et expérimentale pour la restauration de la dynamique sédimentaire d'un tronçonfluvial aménagé: le cas du Vieux Rhin entre Kembs et Breisach (France, Allemagne), PhD thesis, Université Lumière Lyon 2, https://doi.org/10.58165/evs-2z6x55, 2012. a
Arnaud-Fassetta, G., Astrade, L., Bardou, E., Corbonnois, J., Delahaye, D., Fort, M., Gautier, E., Jacob, N., Peiry, J.-L., Piégay, H., and Penven, M.-J.: Fluvial geomorphology and flood-risk management, Géomorphologie, 15, 109–128, https://doi.org/10.4000/geomorphologie.7554 2009. a
Badoux, A., Andres, N., and Turowski, J. M.: Damage costs due to bedload transport processes in Switzerland, Nat. Hazards Earth Syst. Sci., 14, 279–294, https://doi.org/10.5194/nhess-14-279-2014, 2014. a, b
Blanpied, J.: La torrentialité dans les Pyrénées centrales: évolution depuis la fin du Petit Âge Glaciaire, spécificités et dynamiques géomorphologiques actuelles, PhD thesis, Université de Toulouse – Jean Jaurès, 2019. a
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Short summary
Predicting river morphology evolution is very complicated, especially for mountain rivers with complex morphologies such as the Lac des Gaves reach in France. A 2D hydromorphological model was developed to reproduce the channel's evolution and provide reliable volumetric predictions while revealing the challenge of choosing adapted sediment transport and friction laws. Our model can provide decision-makers with reliable predictions to design suitable restoration measures for this reach.
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