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| Titel |
Seismic detection and characterization of landslides and other mass movements |
| VerfasserIn |
E. Suriñach, I. Vilajosana, G. Khazaradze, B. Biescas, G. Furdada, J. M. Vilaplana |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 5, no. 6 ; Nr. 5, no. 6 (2005-10-25), S.791-798 |
| Datensatznummer |
250002876
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| Publikation (Nr.) |
 copernicus.org/nhess-5-791-2005.pdf |
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| Zusammenfassung |
| Seismic methods used in the study of snow avalanches may be employed to
detect and characterize landslides and other mass movements, using standard
spectrogram/sonogram analysis. For snow avalanches, the spectrogram for a
station that is approached by a sliding mass exhibits a triangular
time/frequency signature due to an increase over time in the
higher-frequency constituents. Recognition of this characteristic footprint
in a spectrogram suggests a useful metric for identifying other
mass-movement events such as landslides. The 1 June 2005 slide at Laguna
Beach, California is examined using data obtained from the Caltech/USGS
Regional Seismic Network. This event exhibits the same general spectrogram
features observed in studies of Alpine snow avalanches. We propose that
these features are due to the systematic relative increase in high-frequency
energy transmitted to a seismometer in the path of a mass slide owing to a
reduction of distance from the source signal. This phenomenon is related to
the path of the waves whose high frequencies are less attenuated as they
traverse shorter source-receiver paths. Entrainment of material in the
course of the slide may also contribute to the triangular time/frequency
signature as a consequence of the increase in the energy involved in the
process; in this case the contribution would be a source effect. By applying
this commonly observed characteristic to routine monitoring algorithms,
along with custom adjustments for local site effects, we seek to contribute
to the improvement in automatic detection and monitoring methods of
landslides and other mass movements. |
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