Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3349–3359, 2022
https://doi.org/10.5194/nhess-22-3349-2022

Special issue: Advances in flood forecasting and early warning

Nat. Hazards Earth Syst. Sci., 22, 3349–3359, 2022
https://doi.org/10.5194/nhess-22-3349-2022
Research article
17 Oct 2022
Research article | 17 Oct 2022

Real-time urban rainstorm and waterlogging disaster detection by Weibo users

Haoran Zhu et al.

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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-2022-48', Anonymous Referee #1, 21 Mar 2022
    • AC1: 'Reply on RC1', Haoran Zhu, 28 Apr 2022
      • RC2: 'Reply on AC1', Anonymous Referee #1, 02 May 2022
        • AC4: 'Reply on RC2', Haoran Zhu, 25 Jul 2022
  • RC3: 'Comment on nhess-2022-48', Anonymous Referee #2, 17 Jun 2022
    • AC2: 'Reply on RC3', Haoran Zhu, 21 Jul 2022
    • AC3: 'Reply on RC3', Haoran Zhu, 25 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (16 Aug 2022) by Dapeng Yu
AR by Haoran Zhu on behalf of the Authors (30 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (12 Sep 2022) by Dapeng Yu
AR by Haoran Zhu on behalf of the Authors (15 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (19 Sep 2022) by Dapeng Yu
ED: Publish as is (19 Sep 2022) by Heidi Kreibich(Executive Editor)
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Short summary
We promote a new method to detect waterlogging disasters. Residents are directly affected by waterlogging, and we can collect their comments on social networks. Compared to official-authentication and personal-certification users, the microblogs posted by general users can better show the intensity and timing of waterlogging. Through text and sentiment features, we can separate microblogs with waterlogging information from other ones and mark high-risk regions on maps.
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