Articles | Volume 22, issue 4
Nat. Hazards Earth Syst. Sci., 22, 1419–1435, 2022
https://doi.org/10.5194/nhess-22-1419-2022
Nat. Hazards Earth Syst. Sci., 22, 1419–1435, 2022
https://doi.org/10.5194/nhess-22-1419-2022
Research article
21 Apr 2022
Research article | 21 Apr 2022

Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers

Keighobad Jafarzadegan et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-359', Anonymous Referee #1, 02 Jan 2022
    • AC1: 'Reply on RC1', Keighobad Jafarzadegan, 01 Feb 2022
  • RC2: 'Comment on nhess-2021-359', Anonymous Referee #2, 16 Jan 2022
    • AC2: 'Reply on RC2', Keighobad Jafarzadegan, 01 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (17 Feb 2022) by Mauricio Gonzalez
AR by Keighobad Jafarzadegan on behalf of the Authors (17 Feb 2022)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Feb 2022) by Mauricio Gonzalez
RR by Anonymous Referee #1 (25 Feb 2022)
RR by Anonymous Referee #2 (12 Mar 2022)
ED: Publish as is (15 Mar 2022) by Mauricio Gonzalez
Download
Short summary
The high population settled in coastal regions and the potential damage imposed by coastal floods highlight the need for improving coastal flood hazard assessment techniques. This study introduces a topography-based approach for rapid estimation of flood hazard areas in the Savannah River delta. Our validation results demonstrate that, besides the high efficiency of the proposed approach, the estimated areas accurately overlap with reference flood maps.
Altmetrics
Final-revised paper
Preprint