Articles | Volume 19, issue 10
https://doi.org/10.5194/hess-19-4041-2015
https://doi.org/10.5194/hess-19-4041-2015
Research article
 | 
05 Oct 2015
Research article |  | 05 Oct 2015

A methodological approach of estimating resistance to flow under unsteady flow conditions

M. M. Mrokowska, P. M. Rowiński, and M. B. Kalinowska

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (04 Apr 2015) by Roger Moussa
AR by Magdalena Mrokowska on behalf of the Authors (15 Apr 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (04 May 2015) by Roger Moussa
RR by Anonymous Referee #3 (13 May 2015)
RR by Anonymous Referee #4 (08 Jun 2015)
ED: Reconsider after major revisions (17 Jun 2015) by Roger Moussa
AR by Magdalena Mrokowska on behalf of the Authors (28 Aug 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (01 Sep 2015) by Roger Moussa
RR by Anonymous Referee #3 (11 Sep 2015)
ED: Publish subject to minor revisions (Editor review) (11 Sep 2015) by Roger Moussa
AR by Magdalena Mrokowska on behalf of the Authors (17 Sep 2015)  Author's response   Manuscript 
ED: Publish as is (22 Sep 2015) by Roger Moussa
AR by Magdalena Mrokowska on behalf of the Authors (22 Sep 2015)  Author's response 
Download
Short summary
This paper presents evaluation of resistance parameters: friction slope, friction velocity and Manning coefficient in unsteady flow. Theoretical description is facilitated with the analysis of field data from artificial dam-break flood waves in a small lowland watercourse. The methodology to enhance the evaluation of resistance by relations derived from flow equations is proposed. The study shows the Manning coefficient is less sensitive to simplified relations than other parameters.