Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 20, issue 4
Articles | Volume 20, issue 4
https://doi.org/10.5194/nhess-20-967-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-967-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 4
Research article
 | 
09 Apr 2020
Research article |  | 09 Apr 2020

The role of spatial dependence for large-scale flood risk estimation

Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Sergiy Vorogushyn, Björn Guse, Heidi Kreibich, and Bruno Merz

Viewed

Total article views: 3,703 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,538 1,070 95 3,703 100 142
  • HTML: 2,538
  • PDF: 1,070
  • XML: 95
  • Total: 3,703
  • BibTeX: 100
  • EndNote: 142
Views and downloads (calculated since 05 Dec 2019)
Cumulative views and downloads (calculated since 05 Dec 2019)

Viewed (geographical distribution)

Total article views: 3,703 (including HTML, PDF, and XML) Thereof 3,212 with geography defined and 491 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
For effective risk management, flood risk should be properly assessed. Traditionally, risk is assessed by making the assumption of invariant flow or loss probabilities (the chance that a given discharge or loss is exceeded) within the river catchment during a single flood event. However, in reality, flooding is more severe in some regions than others. This study indicates the importance of representing the spatial dependence of flood peaks and damage for risk assessments.
Read more
Share
Altmetrics
Final-revised paper
Preprint