Articles | Volume 379
Proc. IAHS, 379, 193–198, 2018
https://doi.org/10.5194/piahs-379-193-2018
Proc. IAHS, 379, 193–198, 2018
https://doi.org/10.5194/piahs-379-193-2018
Pre-conference publication
05 Jun 2018
Pre-conference publication | 05 Jun 2018

Estimating parameter values of a socio-hydrological flood model

Marlies Holkje Barendrecht et al.

Viewed

Total article views: 3,646 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,032 527 87 3,646 82 83
  • HTML: 3,032
  • PDF: 527
  • XML: 87
  • Total: 3,646
  • BibTeX: 82
  • EndNote: 83
Views and downloads (calculated since 05 Jun 2018)
Cumulative views and downloads (calculated since 05 Jun 2018)

Viewed (geographical distribution)

Total article views: 2,551 (including HTML, PDF, and XML) Thereof 2,460 with geography defined and 91 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 May 2022
Download
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.