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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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Beven, K. J.: Rainfall-runoff modelling: the primer, John Wiley & Sons, 2011. a
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Das, A.: Reverse stream flow routing by using Muskingum models, Sadhana, 34, 483–499, 2009. a
Doherty, J. E.: PEST, Model-Independent Parameter Estimation – User Manual, sixth ed., Tech. rep., Watermark Numerical Computing, Brisbane, Australia, 2016. a
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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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