Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2529-2016
https://doi.org/10.5194/nhess-16-2529-2016
Research article
 | 
30 Nov 2016
Research article |  | 30 Nov 2016

Analyzing the sensitivity of a flood risk assessment model towards its input data

Hanne Glas, Greet Deruyter, Philippe De Maeyer, Arpita Mandal, and Sherene James-Williamson

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by Editor) (30 Oct 2016) by Vassiliki Kotroni
AR by Hanne Glas on behalf of the Authors (09 Nov 2016)  Author's response   Manuscript 
ED: Publish as is (10 Nov 2016) by Vassiliki Kotroni
AR by Hanne Glas on behalf of the Authors (14 Nov 2016)  Manuscript 
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Short summary
Adequate flood damage assessments can help to minimize damage costs in the SIDS. Data availability is, however, a major issue in these areas. In order to determine the minimal data necessary for an adequate result, a sensitivity analysis was performed on the input data. This has shown that population density, in combination with an average number of people per household, is a good parameter to determine building damage. Furthermore, a complete road dataset is visually indispensable.
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