Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-343-2026
https://doi.org/10.5194/nhess-26-343-2026
Research article
 | 
20 Jan 2026
Research article |  | 20 Jan 2026

Signals without action: a value chain analysis of Luxembourg's 2021 flood disaster

Jeff Da Costa, Elizabeth Ebert, David Hoffmann, Hannah L. Cloke, and Jessica Neumann

Viewed

Total article views: 595 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
399 153 43 595 18 20
  • HTML: 399
  • PDF: 153
  • XML: 43
  • Total: 595
  • BibTeX: 18
  • EndNote: 20
Views and downloads (calculated since 27 Oct 2025)
Cumulative views and downloads (calculated since 27 Oct 2025)

Viewed (geographical distribution)

Total article views: 595 (including HTML, PDF, and XML) Thereof 581 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Jan 2026
Download
Short summary
This paper examines why multiple early indicators of the July 2021 floods in Luxembourg did not lead to better anticipatory action. Using a value chain approach and the Waterdrop Model, it identifies how thresholds, procedures, and institutional responsibilities limited the use of available forecast information under uncertainty. The findings show how aligning information with decision processes can improve timely disaster response.
Share
Altmetrics
Final-revised paper
Preprint