Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1577-2022
https://doi.org/10.5194/nhess-22-1577-2022
Research article
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10 May 2022
Research article | Highlight paper |  | 10 May 2022

Warming of 0.5 °C may cause double the economic loss and increase the population affected by floods in China

Lulu Liu, Jiangbo Gao, and Shaohong Wu

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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-2021-304', Anonymous Referee #1, 28 Oct 2021
    • AC1: 'Reply on RC1', Jiangbo Gao, 12 Jan 2022
  • RC2: 'Comment on nhess-2021-304', Anonymous Referee #2, 04 Dec 2021
    • AC2: 'Reply on RC2', Jiangbo Gao, 12 Jan 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) (14 Jan 2022) by Jie Yin
AR by Jiangbo Gao on behalf of the Authors (16 Jan 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Jan 2022) by Jie Yin
RR by Anonymous Referee #1 (27 Jan 2022)
ED: Publish subject to minor revisions (review by editor) (16 Mar 2022) by Jie Yin
AR by Jiangbo Gao on behalf of the Authors (29 Mar 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Mar 2022) by Jie Yin
ED: Publish as is (10 Apr 2022) by Heidi Kreibich (Executive editor)
AR by Jiangbo Gao on behalf of the Authors (13 Apr 2022)  Manuscript 
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Short summary
The impact of extreme events is increasing with global warming. Based on future scenario data and an improved quantitative assessment model of natural-disaster risk, this study analyses the spatial and temporal patterns of floods in China at 1.5 °C and 2 °C of global warming, quantitatively assesses the socioeconomic risks posed by floods, and determines the integrated risk levels. Global warming of 1.5 °C can effectively reduce the population affected and the economic risks of floods.
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