Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1895-2019
https://doi.org/10.5194/nhess-19-1895-2019
Research article
 | 
29 Aug 2019
Research article |  | 29 Aug 2019

Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach

Anouk Bomers, Ralph M. J. Schielen, and Suzanne J. M. H. Hulscher

Viewed

Total article views: 4,283 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,199 987 97 4,283 135 159
  • HTML: 3,199
  • PDF: 987
  • XML: 97
  • Total: 4,283
  • BibTeX: 135
  • EndNote: 159
Views and downloads (calculated since 18 Mar 2019)
Cumulative views and downloads (calculated since 18 Mar 2019)

Viewed (geographical distribution)

Total article views: 4,283 (including HTML, PDF, and XML) Thereof 3,492 with geography defined and 791 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Mar 2026
Download
Short summary
Flood frequency curves are usually highly uncertain since they are based on short data sets of measured discharges or weather conditions. To decrease the confidence intervals, an efficient bootstrap method is developed. With this method, the data set of measured discharges of the Rhine river is extended by approximately 600 years. The study shows that historic flood events decrease the confidence interval of the flood frequency curve significantly, specifically in the range of large floods.
Share
Altmetrics
Final-revised paper
Preprint