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

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Latest update: 21 Nov 2024
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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.
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