Towards early warning of gravitational slope  failure with co-detection of microseismic activity:  the case of an active rock glacier

Faillettaz, Jérome; Funk, Martin; Beutel, Jan; Vieli, Andreas

doi:https://doi.org/10.5194/nhess-19-1399-2019

Articles | Volume 19, issue 7

https://doi.org/10.5194/nhess-19-1399-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-19-1399-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 7

Research article

|

15 Jul 2019

Research article |

| 15 Jul 2019

Towards early warning of gravitational slope failure with co-detection of microseismic activity: the case of an active rock glacier

Jérome Faillettaz, Martin Funk, Jan Beutel, and Andreas Vieli

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Final revised paper (published on 15 Jul 2019)
Preprint (discussion started on 19 Dec 2018)

Interactive discussion

Status: closed

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

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RC1: 'Anonymous peer-review', Anonymous Referee #1, 14 Jan 2019
- AC1: 'Author Response', Jerome Faillettaz, 25 Apr 2019
RC2: 'Review comments for manuscript “Co-detection of micro-seismic activity as early warning of gravitational slope failure” by Faillettaz et al.', Anonymous Referee #2, 21 Feb 2019
- AC1: 'Author Response', Jerome Faillettaz, 25 Apr 2019
AC1: 'Author Response', Jerome Faillettaz, 25 Apr 2019

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 Jun 2019) by Thomas Glade

AR by Jerome Faillettaz on behalf of the Authors (04 Jun 2019) Manuscript

ED: Publish as is (07 Jun 2019) by Thomas Glade

AR by Jerome Faillettaz on behalf of the Authors (07 Jun 2019) Manuscript

Short summary

We developed a new strategy for real-time early warning of gravity-driven slope failures (such as landslides, rockfalls, glacier break-off, etc.). This method enables us to investigate natural slope stability based on continuous monitoring and interpretation of seismic waves generated by the potential instability. Thanks to a pilot experiment, we detected typical patterns of precursory events prior to slide events, demonstrating the potential of this method for real-word applications.