Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4717-2016
https://doi.org/10.5194/hess-20-4717-2016
Research article
 | 
29 Nov 2016
Research article |  | 29 Nov 2016

Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression

Martin Durocher, Fateh Chebana, and Taha B. M. J. Ouarda

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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 (11 Jul 2016) by Elena Toth
AR by Martin Durocher on behalf of the Authors (21 Aug 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (22 Aug 2016) by Elena Toth
RR by Tamer Gado (31 Aug 2016)
RR by Anonymous Referee #1 (19 Sep 2016)
ED: Publish subject to minor revisions (Editor review) (03 Oct 2016) by Elena Toth
AR by Martin Durocher on behalf of the Authors (12 Oct 2016)  Author's response   Manuscript 
ED: Publish subject to technical corrections (29 Oct 2016) by Elena Toth
AR by Martin Durocher on behalf of the Authors (06 Nov 2016)  Manuscript 
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Short summary
For regional flood frequency, it is challenging to identify regions with similar hydrological properties. Therefore, previous works have mainly proposed to use regions with similar physiographical properties. This research proposes instead to nonlinearly predict the desired hydrological properties before using them for delineation. The presented method is applied to a case study in Québec, Canada, and leads to hydrologically relevant regions, while enhancing predictions made inside them.