Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3597-2017
https://doi.org/10.5194/hess-21-3597-2017
Research article
 | 
17 Jul 2017
Research article |  | 17 Jul 2017

Reproducing an extreme flood with uncertain post-event information

Diana Fuentes-Andino, Keith Beven, Sven Halldin, Chong-Yu Xu, José Eduardo Reynolds, and Giuliano Di Baldassarre

Viewed

Total article views: 2,982 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,891 997 94 2,982 146 63 95
  • HTML: 1,891
  • PDF: 997
  • XML: 94
  • Total: 2,982
  • Supplement: 146
  • BibTeX: 63
  • EndNote: 95
Views and downloads (calculated since 28 Sep 2016)
Cumulative views and downloads (calculated since 28 Sep 2016)

Viewed (geographical distribution)

Total article views: 2,982 (including HTML, PDF, and XML) Thereof 2,934 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
Reproduction of past floods requires information on discharge and flood extent, commonly unavailable or uncertain during extreme events. We explored the possibility of reproducing an extreme flood disaster using rainfall and post-event hydrometric information by combining a rainfall-runoff and hydraulic modelling tool within an uncertainty analysis framework. Considering the uncertainty in post–event data, it was possible to reasonably reproduce the extreme event.