Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2145-2022
https://doi.org/10.5194/nhess-22-2145-2022
Research article
 | 
27 Jun 2022
Research article |  | 27 Jun 2022

Characterizing multivariate coastal flooding events in a semi-arid region: the implications of copula choice, sampling, and infrastructure

Joseph T. D. Lucey and Timu W. Gallien

Viewed

Total article views: 2,500 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,763 666 71 2,500 47 56
  • HTML: 1,763
  • PDF: 666
  • XML: 71
  • Total: 2,500
  • BibTeX: 47
  • EndNote: 56
Views and downloads (calculated since 12 Aug 2021)
Cumulative views and downloads (calculated since 12 Aug 2021)

Viewed (geographical distribution)

Total article views: 2,500 (including HTML, PDF, and XML) Thereof 2,421 with geography defined and 79 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Coastal flooding can result from multiple flood drivers (e.g., tides, waves, river flows, rainfall) occurring at the same time. This study characterizes flooding events caused by high marine water levels and rain. Results show that wet-season coinciding sampling may better describe extreme flooding events in a dry, tidally dominated region. A joint-probability-based function is then used to estimate sea wall impacts on urban coastal flooding.
Altmetrics
Final-revised paper
Preprint