Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6223-2021
https://doi.org/10.5194/hess-25-6223-2021
Research article
 | 
09 Dec 2021
Research article |  | 09 Dec 2021

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

Edouard Patault, Valentin Landemaine, Jérôme Ledun, Arnaud Soulignac, Matthieu Fournier, Jean-François Ouvry, Olivier Cerdan, and Benoit Laignel

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (18 Apr 2021) by Dominic Mazvimavi
AR by Edouard Patault on behalf of the Authors (19 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (02 May 2021) by Dominic Mazvimavi
ED: Referee Nomination & Report Request started (16 Jun 2021) by Dominic Mazvimavi
ED: Publish subject to technical corrections (13 Nov 2021) by Dominic Mazvimavi
AR by Edouard Patault on behalf of the Authors (15 Nov 2021)  Author's response    Manuscript
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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 %).