Sediment transport induced by tidal bores. An estimation from suspended matter measurements in the Sée River (Mont-Saint-Michel Bay, northwestern France) - INSU - Institut national des sciences de l'Univers Access content directly
Journal Articles Comptes Rendus Géoscience Year : 2016

Sediment transport induced by tidal bores. An estimation from suspended matter measurements in the Sée River (Mont-Saint-Michel Bay, northwestern France)

Lucille Furgerot
Dominique Mouazé
Laurent Perez
Sylvain Haquin
Pierre Weill
Alain Crave
  • Function : Author

Abstract

Tidal bores are believed to induce significant sediment transport in macrotidal estuaries. However, due to high turbulence and very large suspended sediment concentration (SSC), the measurement of sediment transport induced by a tidal bore is actually a technical challenge. Consequently, very few quantitative data have been published so far. This paper presents SSC measurements performed in the Sée River estuary (Mont-Saint-Michel Bay, northwestern France) during the tidal bore passage with direct and indirect (optical) methods. Both methods are calibrated in laboratory in order to verify the consistency of measurements, to calculate the uncertainties, and to correct the raw data. The SSC measurements coupled with ADCP velocity data are used to calculate the instantaneous sediment transport (qs) associated with the tidal bore passage (up to 40 kg/m2/s).
Fichier principal
Vignette du fichier
Furgerot_2016.pdf (2.47 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

insu-01267158 , version 1 (24-04-2017)

Identifiers

Cite

Lucille Furgerot, Dominique Mouazé, Bernadette Tessier, Laurent Perez, Sylvain Haquin, et al.. Sediment transport induced by tidal bores. An estimation from suspended matter measurements in the Sée River (Mont-Saint-Michel Bay, northwestern France). Comptes Rendus Géoscience, 2016, Coastal sediment dynamics, 348 (6), pp.432-441. ⟨10.1016/j.crte.2015.09.004⟩. ⟨insu-01267158⟩
304 View
167 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More