Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2313-2023
https://doi.org/10.5194/nhess-23-2313-2023
Research article
 | 
26 Jun 2023
Research article |  | 26 Jun 2023

The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index

Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann

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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-2022-238', Anonymous Referee #1, 12 Oct 2022
    • AC1: 'Reply on RC1', Leon Scheiber, 23 Dec 2022
  • RC2: 'Comment on nhess-2022-238', Anonymous Referee #2, 09 Nov 2022
    • AC2: 'Reply on RC2', Leon Scheiber, 23 Dec 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) (04 Jan 2023) by Liang Emlyn Yang
AR by Leon Scheiber on behalf of the Authors (02 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Mar 2023) by Liang Emlyn Yang
RR by Anonymous Referee #3 (28 Mar 2023)
RR by Anonymous Referee #4 (03 Apr 2023)
ED: Publish subject to minor revisions (review by editor) (16 Apr 2023) by Liang Emlyn Yang
AR by Leon Scheiber on behalf of the Authors (05 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 May 2023) by Liang Emlyn Yang
ED: Publish as is (13 May 2023) by Paolo Tarolli (Executive editor)
AR by Leon Scheiber on behalf of the Authors (15 May 2023)  Manuscript 
Short summary
Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
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