Brief communication: Rapid assessment of damaged residential buildings in the Florida Keys after Hurricane Irma

Xian, Siyuan; Feng, Kairui; Lin, Ning; Marsooli, Reza; Chavas, Daniel; Chen, Jie; Hatzikyriakou, Adam

doi:https://doi.org/10.5194/nhess-18-2041-2018

Articles | Volume 18, issue 7

https://doi.org/10.5194/nhess-18-2041-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-18-2041-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 7

Brief communication

|

27 Jul 2018

Brief communication |

| 27 Jul 2018

Brief communication: Rapid assessment of damaged residential buildings in the Florida Keys after Hurricane Irma

Siyuan Xian, Kairui Feng, Ning Lin, Reza Marsooli, Daniel Chavas, Jie Chen, and Adam Hatzikyriakou

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Final revised paper (published on 27 Jul 2018)
Preprint (discussion started on 29 Jan 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 22 Mar 2018
- AC1: 'Response to Reviewer 1', Siyuan Xian, 29 Apr 2018
RC2: 'Review: Rapid Assessment of damages homes in the Florida Keys after Hurricane Irma', Anonymous Referee #2, 12 Apr 2018
- AC2: 'response to reviewer 2', Siyuan Xian, 01 May 2018

Peer-review completion

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

ED: Publish subject to technical corrections (23 Jun 2018) by Jean-Philippe Malet

AR by Siyuan Xian on behalf of the Authors (01 Jul 2018) Manuscript

Short summary

On 10 September 2017, Hurricane Irma made landfall in the Florida Keys and caused significant damage. To better understand the hurricane's damage to the Florida Keys, we first conducted hydrodynamic storm surge and wave modeling. By checking the surge hazards and post-damage satellite data, we determined the places to conduct detailed on-site surveys. We assessed 1600+ damaged residential buildings in Big Pine Key and Marathon. A statistical model is developed to understand damaging factors.