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.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
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- Final revised paper (published on 09 Dec 2021)
- Preprint (discussion started on 22 Sep 2020)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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- Supplement
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RC1: 'Combined used of a conceptual model and a data-driven approach to evaluate the impact of land use/management scenarios on sediment discharge in a karstic catchment', Anonymous Referee #1, 08 Dec 2020
- AC1: 'Reply on RC1', Edouard Patault, 19 Mar 2021
- AC2: 'Reply on RC2', Edouard Patault, 19 Mar 2021
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RC2: 'Review of the paper hess-2020363: Predicting Sediment Discharge at Water Treatment Plant Under Different Land Use Scenarios Coupling Expert-Based GIS Model and Deep Neural Network', Anonymous Referee #2, 22 Feb 2021
- AC2: 'Reply on RC2', Edouard Patault, 19 Mar 2021
- AC1: 'Reply on RC1', Edouard Patault, 19 Mar 2021
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