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 Anna Wenzel on behalf of the Authors (05 Jun 2019) Author's response

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

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.