Articles | Volume 25, issue 4
https://doi.org/10.5194/nhess-25-1459-2025
https://doi.org/10.5194/nhess-25-1459-2025
Research article
 | 
16 Apr 2025
Research article |  | 16 Apr 2025

From rockfall source area identification to susceptibility zonation: a proposed workflow tested on El Hierro (Canary Islands, Spain)

Roberto Sarro, Mauro Rossi, Paola Reichenbach, and Rosa María Mateos

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2024-85', Anonymous Referee #1, 28 Aug 2024
    • AC3: 'Reply on RC1', Roberto Sarro, 21 Oct 2024
  • RC2: 'Comment on nhess-2024-85', Anonymous Referee #2, 31 Aug 2024
    • AC2: 'Reply on RC2', Roberto Sarro, 18 Oct 2024
  • RC3: 'Comment on nhess-2024-85', Anonymous Referee #3, 04 Sep 2024
    • AC1: 'Reply on RC3', Roberto Sarro, 18 Oct 2024
    • AC4: 'Reply on RC3', Roberto Sarro, 21 Oct 2024

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) (03 Nov 2024) by Oded Katz
AR by Roberto Sarro on behalf of the Authors (05 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Nov 2024) by Oded Katz
RR by Anonymous Referee #3 (21 Nov 2024)
RR by Anonymous Referee #4 (02 Dec 2024)
ED: Reconsider after major revisions (further review by editor and referees) (03 Dec 2024) by Oded Katz
AR by Roberto Sarro on behalf of the Authors (10 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (14 Feb 2025) by Oded Katz
AR by Roberto Sarro on behalf of the Authors (17 Feb 2025)
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Short summary
This study proposes a novel systematic workflow that integrates source area identification, deterministic runout modelling, the classification of runout outputs to derive susceptibility zonation, and robust procedures for validation and comparison. The proposed approach enables the integration and comparison of different modelling, introducing a robust and consistent workflow/methodology that allows us to derive and verify rockfall susceptibility zonation, considering different steps.
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