Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2075-2021
https://doi.org/10.5194/nhess-21-2075-2021
Research article
 | 
09 Jul 2021
Research article |  | 09 Jul 2021

A Bayesian network approach to modelling rip-current drownings and shore-break wave injuries

Elias de Korte, Bruno Castelle, and Eric Tellier

Viewed

Total article views: 2,313 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,549 708 56 2,313 39 47
  • HTML: 1,549
  • PDF: 708
  • XML: 56
  • Total: 2,313
  • BibTeX: 39
  • EndNote: 47
Views and downloads (calculated since 28 Jan 2021)
Cumulative views and downloads (calculated since 28 Jan 2021)

Viewed (geographical distribution)

Total article views: 2,313 (including HTML, PDF, and XML) Thereof 2,147 with geography defined and 166 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Nov 2024
Download
Short summary
We use a statistical model to address the controls and interactions of environmental (wave, tide, weather, beach morphology) data on surf zone injuries along a sandy coast where shore-break and rip-current hazards co-exist. Although fair but limited predictive life-risk skill is found, the approach provides new insight into the environmental controls, their interactions and their respective contribution to hazard and exposure, with implications for the development of public education messaging.
Altmetrics
Final-revised paper
Preprint