Document généré le 26/05/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/caracterisation-et-dynamique-des-turbidites-en-zone-cotiere-l-exemple-de-la-region-marine-bretagne-sud
Caractérisation et dynamique des turbidités en zone côtière : L'exemple de la région marine Bretagne Sud
Titre alternatif
Producteur
Contributeur(s)
Éditeur(s)
Université de Bordeaux 1
Identifiant documentaire
9-2325
Identifiant OAI
oai:archimer.ifremer.fr:2325
Auteur(s):
Tessier, Caroline
Mots clés
Southern Brittany
MARS 3D numerical model
acoustic backscattering
acoustic current profiler
waves
circulations
turbidity
Bretagne Sud
modèle numérique MARS 3D
rétrodiffusion acoustique
profileur acoustique de courant
vagues
circulations
turbidité
Date de publication
07/12/2006
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
fre
Thème
Type de ressource
Source
Droits de réutilisation
info:eu-repo/semantics/openAccess
Région
Département
Commune
Description
The space and time turbidity variability in Southern Brittany was studied, from the combination of results of hydrological campaigns, long-term instrumented moorings, satellite observations and 3D process-based numerical modelling.
Previous observations exhibit a cross-shore concentration gradient with values hardly exceeding 30 mg/l beyond the littoral zone. Acoustic profilers (ADCP) were moored to measure currents, waves and the associated dynamics of fine particles. Time series of mass concentration in the whole water column were estimated from the analysis of the backscattered signal. During wave episodes, values can reach 100 mg/l at 1.50 m above bottom, just outside the Bay of Vilaine. The empirical calibration of the signal with independent measurements of turbidity is very satisfactory and more efficient than the inversion of a backscattering model, due to instrumental and environmental uncertainties.
These data were used to calibrate a hydrodynamic and sediment transport numerical model (MARS-3D/SiAM) in a realistic configuration (tide, wind, river flows, sediment cover) with a simple parameterization of sedimentary processes (erosion, deposition). Wave forcing is computed with SWAN model. Results of a 5 months simulation show the important role of wind circulations and hydrological structures on the spatial distribution of turbidity, which is mainly generated by waves. Mean turbidity levels and fluxes in specific areas are also estimated.
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