Dynamic path-dependent landslide susceptibility modelling

Samia, Jalal; Temme, Arnaud; Bregt, Arnold; Wallinga, Jakob; Guzzetti, Fausto; Ardizzone, Francesca

doi:https://doi.org/10.5194/nhess-20-271-2020

Articles | Volume 20, issue 1

https://doi.org/10.5194/nhess-20-271-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-20-271-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 1

Research article

|

22 Jan 2020

Research article |

| 22 Jan 2020

Dynamic path-dependent landslide susceptibility modelling

Jalal Samia, Arnaud Temme, Arnold Bregt, Jakob Wallinga, Fausto Guzzetti, and Francesca Ardizzone

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Final revised paper (published on 22 Jan 2020)
Preprint (discussion started on 08 Jul 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of "Dynamic path dependent landslide susceptibility modelling" by Jalal Samia and others', Ben Mirus, 31 Jul 2019
- AC1: 'Author's responses to the referee1', Jalal Samia, 05 Nov 2019
RC2: 'Review of the manuscript “Dynamic path dependent landslide susceptibility modelling” by Samia et al.', Anonymous Referee #2, 06 Sep 2019
- AC2: 'Author's responses to the referee2', Jalal Samia, 05 Nov 2019

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (05 Nov 2019) by Thomas Glade

AR by Jalal Samia on behalf of the Authors (08 Nov 2019) Author's response Manuscript

ED: Publish as is (16 Dec 2019) by Thomas Glade

Short summary

For the Collazzone study area in Italy, we quantified how much landslides follow others using Ripley's K function, finding that susceptibility is increased within 60 m and 17 years after a previous landslide. We then calculated the increased susceptibility for every pixel and for the 17-time-slice landslide inventory. We used these as additional explanatory variables in susceptibility modelling. Model performance increased substantially with this landslide history component included.