Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 12
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.
https://doi.org/10.5194/hess-25-6223-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 12
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

Viewed

Total article views: 2,176 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,609 514 53 2,176 42 43
  • HTML: 1,609
  • PDF: 514
  • XML: 53
  • Total: 2,176
  • BibTeX: 42
  • EndNote: 43
Views and downloads (calculated since 22 Sep 2020)
Cumulative views and downloads (calculated since 22 Sep 2020)

Viewed (geographical distribution)

Total article views: 2,176 (including HTML, PDF, and XML) Thereof 2,034 with geography defined and 142 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
Download
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 %).
Read more