Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2647-2020
https://doi.org/10.5194/nhess-20-2647-2020
Research article
 | 
06 Oct 2020
Research article |  | 06 Oct 2020

Building hazard maps with differentiated risk perception for flood impact assessment

Punit K. Bhola, Jorge Leandro, and Markus Disse

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (18 May 2020) by Kai Schröter
AR by Punit Bhola on behalf of the Authors (29 Jun 2020)
ED: Referee Nomination & Report Request started (08 Jul 2020) by Kai Schröter
RR by Anonymous Referee #2 (16 Jul 2020)
RR by Anonymous Referee #1 (24 Jul 2020)
ED: Publish subject to minor revisions (review by editor) (27 Jul 2020) by Kai Schröter
AR by Punit Bhola on behalf of the Authors (09 Aug 2020)
ED: Publish subject to technical corrections (20 Aug 2020) by Kai Schröter
AR by Punit Bhola on behalf of the Authors (22 Aug 2020)  Manuscript 
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Short summary
In operational flood risk management, a single best model is used to assess the impact of flooding, which might misrepresent uncertainties in the modelling process. We have used quantified uncertainties in flood forecasting to generate flood hazard maps that were combined based on different exceedance probability scenarios with the purpose to differentiate impacts of flooding and to account for uncertainties in flood hazard maps that can be used by decision makers.
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