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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 22, issue 10
Hydrol. Earth Syst. Sci., 22, 5299–5316, 2018
https://doi.org/10.5194/hess-22-5299-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 5299–5316, 2018
https://doi.org/10.5194/hess-22-5299-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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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: 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
Publications Copernicus
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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.
The knowledge of discharge hydrographs is useful for flood modelling purposes, water resource...
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