Articles | Volume 10, issue 5
https://doi.org/10.5194/esurf-10-929-2022
https://doi.org/10.5194/esurf-10-929-2022
Research article
 | 
19 Sep 2022
Research article |  | 19 Sep 2022

Toward a general calibration of the Swiss plate geophone system for fractional bedload transport

Tobias Nicollier, Gilles Antoniazza, Lorenz Ammann, Dieter Rickenmann, and James W. Kirchner

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on esurf-2022-7', Anonymous Referee #1, 11 Mar 2022
    • AC1: 'Reply on RC1', Tobias Nicollier, 30 May 2022
  • RC2: 'Comment on esurf-2022-7', Dan Cadol, 16 Mar 2022
    • AC2: 'Reply on RC2', Tobias Nicollier, 30 May 2022
  • CC1: 'Comment on esurf-2022-7', Roger Kuhnle, 08 Apr 2022
    • RC3: 'Reply on CC1', Anonymous Referee #3, 27 Apr 2022
    • AC3: 'Reply on CC1', Tobias Nicollier, 30 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Tobias Nicollier on behalf of the Authors (30 May 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (24 Jun 2022) by Claire Masteller
AR by Tobias Nicollier on behalf of the Authors (04 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Aug 2022) by Claire Masteller
ED: Publish as is (15 Aug 2022) by Niels Hovius (Editor)
AR by Tobias Nicollier on behalf of the Authors (23 Aug 2022)  Manuscript 
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Short summary
Monitoring sediment transport is relevant for flood safety and river restoration. However, the spatial and temporal variability of sediment transport processes makes their prediction challenging. We investigate the feasibility of a general calibration relationship between sediment transport rates and the impact signals recorded by metal plates installed in the channel bed. We present a new calibration method based on flume experiments and apply it to an extensive dataset of field measurements.