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Earth Surface Dynamics An interactive open-access journal of the European Geosciences Union
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Discussion papers | Copyright
https://doi.org/10.5194/esurf-2018-54
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 Jul 2018

Research article | 10 Jul 2018

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This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Earth Surface Dynamics (ESurf) and is expected to appear here in due course.

Seismic detection of rockslides at regional scale: Examples from the Eastern Alps and feasibility of kurtosis-based event location

Florian Fuchs1, Wolfgang Lenhardt2, Götz Bokelmann1, and the AlpArray Working Group* Florian Fuchs et al.
  • 1Department of Meteorology and Geophysics, University of Vienna, Althanstraße 14, UZA 2, 1090 Vienna, Austria
  • 2Central Institute for Meteorology and Geodynamics, ZAMG, Vienna, Austria
  • *A full list of authors and their affiliations appears at the end of the paper.

Abstract. Seismic records can provide detailed insight into the mechanisms of gravitational mass movements. Catastrophic events that generate long-period seismic radiation have been studied in detail, and monitoring systems have been developed for applications on very local scale. Here we demonstrate that similar techniques can also be applied to regional seismic networks which show great potential for real-time and large-scale monitoring and analysis of rockslide activity. This manuscript studies 21 moderate-size to large rockslides in the Eastern Alps that were recorded by regional seismic networks within distances of few tens of kilometers to more than 200km. We develop a simple and fully automatic processing chain that detects, locates, and classifies rockslides based on vertical-component seismic records. We show that a kurtosis-based onset picker is suitable to detect the very emergent onsets of rockslide signals, and to locate the rockslides within a few kilometers from the true origin, using a grid search and a 1D seismic velocity model. Automatic discrimination between rockslides and local earthquakes is possible by a combination of characteristic parameters extracted from the seismic records, such as kurtosis or maximum-to-mean amplitude ratios. We attempt to relate the amplitude of the seismic records with the documented rockslide volume and reveal a potential power-law in agreement with earlier studies. Since our approach is based on simplified methods we suggest and discuss how each step of the automatic processing could be expanded and improved to achieve more detailed results in the future.

Florian Fuchs et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Florian Fuchs et al.
Florian Fuchs et al.
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Latest update: 20 Oct 2018
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This work demonstrates how seismic networks installed in the Alps can be used for country-wide real-time monitoring of rockslide activity. We suggest several simple methods which allow to detect, locate and characterize rockslides using the seismic signals they generate. We developed an automatic procedure that allows to locate rockslides with kilometer accuracy over hundreds of kilometers distance. Our findings highlight how seismic networks can help to understand the triggering of rockslides.
This work demonstrates how seismic networks installed in the Alps can be used for country-wide...
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