Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 379
Articles | Volume 379
https://doi.org/10.5194/piahs-379-193-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-379-193-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 379
Pre-conference publication
 | 
05 Jun 2018
Pre-conference publication |  | 05 Jun 2018

Estimating parameter values of a socio-hydrological flood model

Marlies Holkje Barendrecht, Alberto Viglione, Heidi Kreibich, Sergiy Vorogushyn, Bruno Merz, and Günter Blöschl

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Latest update: 22 Nov 2024
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Short summary
The aim of this paper is to assess whether a Socio-Hydrological model can be calibrated to data artificially generated from it. This is not trivial because the model is highly nonlinear and it is not clear what amount of data would be needed for calibration. We demonstrate that, using Bayesian inference, the parameters of the model can be estimated quite accurately from relatively few data, which could be available in real case studies.
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