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2D morphodynamic modelling as a predictive tool for gravel replenishment: the Saint-Sauveur Dam case study

  • Guillaume Brousse
  • , Nicolas Claude
  • , Florian Cordier
  • , Rémi Loire
  • , Magali Jodeau
  • Lamsid/EDF/R and D
  • Saint-Venant Laboratory
  • EDF HYDRO–CIH

Research output: Contribution to journalArticlepeer-review

Abstract

Gravel replenishment is one existing solution for restoring riverbeds below dams. Prediction of erosion processes is crucial for river management planning of efficient replenishment. This study investigates the capacity of a large-scale, two-dimensional morphodynamic model to reproduce berm erosion and sediment wave propagation. The model enables quantification of the efficiency of several management scenarios according to berm geometry, location and sediment supply condition (dam closed or not during floods). Results show that replenishment efficiency is strongly dependent on the berm geometry and sediment supply. Berms should be located as close as possible to the low-flow channel and be as long as possible. Desynchronization between hydrographs and sedigraphs could be responsible for propagating sediment deficit which reduces the efficiency of replenishment. This model is a powerful management tool for the design of replenishment operations and the main conclusions of this work could be extended to other sites.

Original languageEnglish
Pages (from-to)389-402
Number of pages14
JournalInternational Journal of River Basin Management
Volume22
Issue number3
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes

Keywords

  • Sluicing
  • bedload
  • numerical model
  • sediment management

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