Quantification of continuous flood hazard using random forest classification and flood insurance claims at large spatial scales:  a pilot study in southeast Texas

Mobley, William; Sebastian, Antonia; Blessing, Russell; Highfield, Wesley E.; Stearns, Laura; Brody, Samuel D.

doi:https://doi.org/10.5194/nhess-21-807-2021

Articles | Volume 21, issue 2

https://doi.org/10.5194/nhess-21-807-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-807-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 2

Research article

|

01 Mar 2021

Research article |

| 01 Mar 2021

Quantification of continuous flood hazard using random forest classification and flood insurance claims at large spatial scales: a pilot study in southeast Texas

William Mobley, Antonia Sebastian, Russell Blessing, Wesley E. Highfield, Laura Stearns, and Samuel D. Brody

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Final revised paper (published on 01 Mar 2021)
Preprint (discussion started on 28 Oct 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee comments', Anonymous Referee #1, 23 Nov 2020
- AC1: 'Reply on RC1', William Mobley, 24 Jan 2021
RC2: 'Referee Comments', Jerom Aerts, 17 Dec 2020
- AC2: 'Reply on RC2', William Mobley, 24 Jan 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (28 Jan 2021) by Sven Fuchs

AR by William Mobley on behalf of the Authors (28 Jan 2021) Manuscript

Short summary

In southeast Texas, flood impacts are exacerbated by increases in impervious surfaces, human inaction, outdated FEMA-defined floodplains and modeling assumptions, and changing environmental conditions. The current flood maps are inadequate indicators of flood risk, especially in urban areas. This study proposes a novel method to model flood hazard and impact in urban areas. Specifically, we used novel flood risk modeling techniques to produce annualized flood hazard maps.