Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model

Ferrari, Alessia; D'Oria, Marco; Vacondio, Renato; Dal Palù, Alessandro; Mignosa, Paolo; Tanda, Maria Giovanna

doi:https://doi.org/10.5194/hess-22-5299-2018

Articles | Volume 22, issue 10

https://doi.org/10.5194/hess-22-5299-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-5299-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 10

Research article

|

16 Oct 2018

Research article |

| 16 Oct 2018

Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model

Alessia Ferrari, Marco D'Oria, Renato Vacondio, Alessandro Dal Palù, Paolo Mignosa, and Maria Giovanna Tanda

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Final revised paper (published on 16 Oct 2018)
Preprint (discussion started on 27 Apr 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review by Antonis D. Koussis of the manuscript entitled "Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2D GPU Shallow Water model by A. Ferrari et al.', Antonis D. Koussis, 21 May 2018
- AC1: 'Response to Referee I', Alessia Ferrari, 29 Jun 2018
RC2: 'Revision of hess-2018-118', Anonymous Referee #2, 23 May 2018
- AC2: 'Response to Referee II', Alessia Ferrari, 29 Jun 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to revisions (further review by editor and referees) (10 Jul 2018) by Roberto Greco

AR by Alessia Ferrari on behalf of the Authors (02 Aug 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (08 Aug 2018) by Roberto Greco

RR by Anonymous Referee #2 (11 Sep 2018)

ED: Publish as is (20 Sep 2018) by Roberto Greco

AR by Alessia Ferrari on behalf of the Authors (26 Sep 2018)

Short summary

The knowledge of discharge hydrographs is useful for flood modelling purposes, water resource management, and the design of hydraulic structures. This paper presents a novel methodology to estimate the unknown discharge hydrograph in an ungauged river section using only water level information recorded downstream. A Bayesian procedure is coupled with a 2-D hydraulic model parallelized for GPUs. Finally, the proposed procedure has been applied to estimate inflow hydrographs in real river reaches.