Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2251-2023
https://doi.org/10.5194/nhess-23-2251-2023
Research article
 | 
21 Jun 2023
Research article |  | 21 Jun 2023

Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique

Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward

Viewed

Total article views: 2,018 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,317 649 52 2,018 35 27
  • HTML: 1,317
  • PDF: 649
  • XML: 52
  • Total: 2,018
  • BibTeX: 35
  • EndNote: 27
Views and downloads (calculated since 04 Oct 2022)
Cumulative views and downloads (calculated since 04 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,018 (including HTML, PDF, and XML) Thereof 1,859 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Feb 2024
Short summary
This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
Altmetrics
Final-revised paper
Preprint