Modelling of the non-point source pollution dynamics in the watershed of the Auray River : quantification, characterisation and management of the land-based nutrient loadings

In marine waters, several biogeochemical perturbations originate from land-based loadings. The eutrophication of coastal water bodies is one of the striking consequences of excessive nutrients inputs and is a major contributing factor to algal blooms. However, the data currently available mainly come from monitoring networks and are thus intermittent and punctual. They are therefore insufficient to accurately assess the contribution of any watershed to such pollutions as well as the origin of the pollutants, especially in the case of non-point source pollutions. In this context, watershed modelling approaches appear to be a complementary and relevant method in a management perspective, particularly regarding their abilities to implement scenarios. Through the example of a study site located in southern Brittany, which constitutes the main hydrosystem discharging in the Gulf of Morbihan, we implemented the Soil and Water Assessment Tool model over a six-year period. In an operational perspective, both parameter settings using common available datasets, and different computing applications were developed in order to be used by managers responsible for the monitoring and the management of littoral waters. This approach enabled to continuously quantify land-based nutrient discharges and to determine their origins. Identifying watersheds that contribute the most to these inputs may constitute a useful tool to design priority areas of intervention for any improvement of water quality in the hydrosystem of the Auray River.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00697867
Author Rollo, Nicolas
Maintainer CCSD
Last Updated May 18, 2026, 17:07 (UTC)
Created May 18, 2026, 17:07 (UTC)
Identifier tel-00697867
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Littoral, Environnement, Télédétection, Géomatique (LETG - Nantes) ; Université de Caen Normandie (UNICAEN) ; Normandie Université (NU)-Normandie Université (NU)-École Pratique des Hautes Études (EPHE) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Brest (UBO EPE)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN) ; Université de Nantes (UN)-Université de Nantes (UN)
creator Rollo, Nicolas
date 2012-01-23T00:00:00
harvest_object_id c13309cd-5b46-41c8-abfd-71719343bf88
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE