Rapid post-earthquake modelling of coseismic landslide intensity and distribution for emergency response decision support

Robinson, Tom R.; Rosser, Nicholas J.; Densmore, Alexander L.; Williams, Jack G.; Kincey, Mark E.; Benjamin, Jessica; Bell, Heather J. A.

doi:https://doi.org/10.5194/nhess-17-1521-2017

Articles | Volume 17, issue 9

https://doi.org/10.5194/nhess-17-1521-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-17-1521-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 9

Research article

|

15 Sep 2017

Research article |

| 15 Sep 2017

Rapid post-earthquake modelling of coseismic landslide intensity and distribution for emergency response decision support

Tom R. Robinson, Nicholas J. Rosser, Alexander L. Densmore, Jack G. Williams, Mark E. Kincey, Jessica Benjamin, and Heather J. A. Bell

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Final revised paper (published on 15 Sep 2017)
Preprint (discussion started on 02 Mar 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Rapid post-earthquake modelling of coseismic landslide magnitude and distribution for emergency response decision support', Anonymous Referee #1, 26 Mar 2017
- AC1: 'Reply to Reviewer 1 Comments', Tom Robinson, 13 Apr 2017
SC1: 'Review comments on “Rapid post-earthquake modelling of coseismic landslide magnitude and distribution for emergency response decision support” by Robinson et al.', Jing Zhu, 15 May 2017
- RC2: 'SC again as RC: Review comments on “Rapid post-earthquake modelling of coseismic landslide magnitude and distribution for emergency response decision support” by Robinson et al.', Jing Zhu, 16 May 2017
  - AC2: 'Reply to Reviewer 2 Comments', Tom Robinson, 19 May 2017

Peer-review completion

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

ED: Reconsider after major revisions (further review by Editor and Referees) (29 May 2017) by Thomas Glade

AR by Svenja Lange on behalf of the Authors (03 Jul 2017) Author's response

ED: Referee Nomination & Report Request started (06 Jul 2017) by Thomas Glade

RR by Anonymous Referee #1 (27 Jul 2017)

ED: Publish as is (03 Aug 2017) by Thomas Glade

Short summary

Current methods to identify landslides after an earthquake are too slow to effectively inform emergency response operations. This study presents an empirical approach for modelling the spatial pattern and landslide density within hours to days of the earthquake. The approach uses small initial samples of landslides to identify locations where as yet unidentified landslides may have occurred. The model requires just 200 initial landslides, provided they have sufficiently wide spatial coverage.