Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5299-2018
https://doi.org/10.5194/hess-22-5299-2018
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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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)
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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.