Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6223-2021
© Author(s) 2021. 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-25-6223-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Simulating sediment discharge at water treatment plants under different land use scenarios using cascade modelling with an expert-based erosion-runoff model and a deep neural network
Normandie UNIV, UNIROUEN, UNICAEN, CNRS, M2C, FED-SCALE, Rouen, France
Valentin Landemaine
BRGM, 3 avenue Claude Guillemin, BP6009, 45060 Orléans CEDEX 2,
France
Jérôme Ledun
AREAS, 2 avenue Foch, 76460 Saint-Valéry-en-Caux, France
Arnaud Soulignac
BRGM, 1039 rue de Pinville, 34000 Montpellier, France
Matthieu Fournier
CORRESPONDING AUTHOR
Normandie UNIV, UNIROUEN, UNICAEN, CNRS, M2C, FED-SCALE, Rouen, France
Jean-François Ouvry
AREAS, 2 avenue Foch, 76460 Saint-Valéry-en-Caux, France
Olivier Cerdan
BRGM, 3 avenue Claude Guillemin, BP6009, 45060 Orléans CEDEX 2,
France
Benoit Laignel
Normandie UNIV, UNIROUEN, UNICAEN, CNRS, M2C, FED-SCALE, Rouen, France
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Short summary
The goal of this study was to assess the sediment discharge variability at a water treatment plant (Normandy, France) according to multiple realistic land use scenarios. We developed a new cascade modelling approach and simulations suggested that coupling eco-engineering and best farming practices can significantly reduce the sediment discharge (up to 80 %).
The goal of this study was to assess the sediment discharge variability at a water treatment...