Articles | Volume 23, issue 2
Research article
02 Mar 2023
Research article |  | 02 Mar 2023

Empirical tsunami fragility modelling for hierarchical damage levels

Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, and Brendon Bradley


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-206', Anonymous Referee #1, 28 Apr 2022
    • AC1: 'Reply on RC1', Fatemeh Jalayer, 17 May 2022
  • RC2: 'Comment on egusphere-2022-206', Carmine Galasso, 24 Aug 2022
    • AC2: 'Reply on RC2', Fatemeh Jalayer, 16 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (22 Oct 2022) by Animesh Gain
AR by Fatemeh Jalayer on behalf of the Authors (30 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Dec 2022) by Animesh Gain
RR by Carmine Galasso (06 Jan 2023)
ED: Publish as is (24 Jan 2023) by Animesh Gain
ED: Publish as is (24 Jan 2023) by Ira Didenkulova (Executive editor)
AR by Fatemeh Jalayer on behalf of the Authors (25 Jan 2023)  Manuscript 
Short summary
Assessing tsunami fragility and the related uncertainties is crucial in the evaluation of incurred losses. Empirical fragility modelling is based on observed tsunami intensity and damage data. Fragility curves for hierarchical damage levels are distinguished by their laminar shape; that is, the curves should not intersect. However, this condition is not satisfied automatically. We present a workflow for hierarchical fragility modelling, uncertainty propagation and fragility model selection.
Final-revised paper