Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3513-2020
https://doi.org/10.5194/hess-24-3513-2020
Research article
 | 
14 Jul 2020
Research article |  | 14 Jul 2020

Automatic identification of alternating morphological units in river channels using wavelet analysis and ridge extraction

Mounir Mahdade, Nicolas Le Moine, Roger Moussa, Oldrich Navratil, and Pierre Ribstein

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Interactive discussion

Status: closed
Status: closed
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: Reconsider after major revisions (further review by editor and referees) (06 Oct 2019) by Theresa Blume
AR by Mounir Mahdade on behalf of the Authors (12 Feb 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (02 Mar 2020) by Theresa Blume
RR by Anonymous Referee #1 (28 Mar 2020)
RR by Gregory Pasternack (04 May 2020)
ED: Publish subject to minor revisions (review by editor) (07 May 2020) by Theresa Blume
AR by Mounir Mahdade on behalf of the Authors (28 May 2020)  Author's response   Manuscript 
ED: Publish subject to technical corrections (11 Jun 2020) by Theresa Blume
AR by Mounir Mahdade on behalf of the Authors (19 Jun 2020)  Author's response   Manuscript 
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Short summary
We present an automatic procedure based on wavelet ridge extraction to identify some characteristics of alternating morphological units (e.g., pools to riffles). We used four hydro-morphological variables (velocity, hydraulic radius, bed shear stress, local channel direction angle). We find that the wavelengths are consistent with the values of the literature, and the use of a multivariate approach yields more robust results and ensures a consistent covariance of flow variables.