Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2501-2016
https://doi.org/10.5194/nhess-16-2501-2016
Research article
 | 
30 Nov 2016
Research article |  | 30 Nov 2016

Landslide forecasting and factors influencing predictability

Emanuele Intrieri and Giovanni Gigli

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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) (02 Sep 2016) by Thom Bogaard
AR by Emanuele Intrieri on behalf of the Authors (07 Sep 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Sep 2016) by Thom Bogaard
RR by Anonymous Referee #1 (15 Sep 2016)
RR by Anonymous Referee #2 (18 Sep 2016)
ED: Reconsider after major revisions (further review by Editor and Referees) (20 Sep 2016) by Thom Bogaard
AR by Emanuele Intrieri on behalf of the Authors (22 Sep 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Sep 2016) by Thom Bogaard
RR by Anonymous Referee #1 (04 Oct 2016)
ED: Publish as is (31 Oct 2016) by Thom Bogaard
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Short summary
Forecasting a landslide collapse is a key element in risk reduction, but it is also a very difficult task due to scientific difficulties in predicting a complex natural event and the severe social repercussions caused by a false or missed alarm. In order to help decision makers, we propose a method of increasing the confidence when making landslide predictions. This study also helps understand how geology affects landslide predictability by introducing a predictability index.
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