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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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
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AC1: 'Reply on RC1', Edouard Patault, 19 Mar 2021
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AC2: 'Reply on RC2', Edouard Patault, 19 Mar 2021
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AC1: 'Reply on RC1', 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
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AC2: 'Reply on RC2', Edouard Patault, 19 Mar 2021
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AC1: 'Reply on RC1', Edouard Patault, 19 Mar 2021
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AC2: 'Reply on RC2', 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
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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
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ED: Referee Nomination & Report Request started (16 Jun 2021) by Dominic Mazvimavi
ED: Publish subject to technical corrections (13 Nov 2021) by Dominic Mazvimavi
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AR by Edouard Patault on behalf of the Authors (15 Nov 2021) 
Author's response
Manuscript