Articles | Volume 21, issue 7
Nat. Hazards Earth Syst. Sci., 21, 2075–2091, 2021
Nat. Hazards Earth Syst. Sci., 21, 2075–2091, 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 et al.


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-36', Anonymous Referee #1, 23 Feb 2021
    • AC1: 'Reply on RC1', Bruno Castelle, 06 Apr 2021
  • RC2: 'Comment on nhess-2021-36', Anonymous Referee #2, 27 Feb 2021
    • AC2: 'Reply on RC2', Bruno Castelle, 06 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (21 Apr 2021) by Mauricio Gonzalez
AR by Bruno Castelle on behalf of the Authors (30 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 May 2021) by Mauricio Gonzalez
RR by Jose A. Jiménez (04 May 2021)
RR by Anonymous Referee #1 (03 Jun 2021)
ED: Publish as is (07 Jun 2021) by Mauricio Gonzalez
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.
Final-revised paper