Articles | Volume 30, issue 3
https://doi.org/10.5194/hess-30-591-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-591-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An original approach combining biogeochemical signatures and a mixing model to discriminate spatial runoff-generating sources in a peri-urban catchment
Olivier Grandjouan
CORRESPONDING AUTHOR
INRAE, UR Riverly, 5 rue de la Doua, 69625, Villeurbanne, France
present address: INSA Lyon, DEEP, UR7429, 69621 Villeurbanne, France
Flora Branger
INRAE, UR Riverly, 5 rue de la Doua, 69625, Villeurbanne, France
Matthieu Masson
INRAE, UR Riverly, 5 rue de la Doua, 69625, Villeurbanne, France
Benoit Cournoyer
Univ Lyon, UMR Ecologie Microbienne (LEM), Université Claude Bernard Lyon 1, VetAgro Sup, France
Nicolas Robinet
UMR CNRS 5194 Pacte, Université Grenoble Alpes, Cermosem, 1064 chemin du Pradel, 07170 Mirabel, France
Pauline Dusseux
Institut d'Urbanisation et de Géographie Alpine, Université Grenoble-Alpes, CNRS, PACTE, 38100, Grenoble, France
Angélique Dominguez Lage
Univ Lyon, UMR Ecologie Microbienne (LEM), Université Claude Bernard Lyon 1, VetAgro Sup, France
Marina Coquery
INRAE, UR Riverly, 5 rue de la Doua, 69625, Villeurbanne, France
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The dataset contains concentrations and fluxes of suspended particle matter (SPM) and several particle-bound contaminants along the Rhône River downstream of Lake Geneva. These data allow us to understand the dynamics and origins. They show the impact of flood events which mainly contribute to a decrease in the contaminant concentrations while fluxes are significant. On the contrary, concentrations are higher during low flow periods probably due to the increase of organic matter.
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Short summary
This study presents a novel approach aimed at using biogeochemical data from surface water to decompose streamwater flow into spatial and vertical contributions. A selection of tracers was used in a mixing model to estimate contributions at the outlet of a peri-urban catchment. Results provided a better understanding of hydrological processes in the catchment and demonstrated the potential of biogeochemical data to discriminate spatial contributions according to land use.
This study presents a novel approach aimed at using biogeochemical data from surface water to...