Seismic monitoring of small alpine rockfalls – validity, precision and limitations

Rockfall in deglaciated mountain valleys is perhaps the most important post-glacial geomorphic process for determining the rates and patterns of valley wall erosion. Furthermore, rockfall poses a significant hazard to inhabitants and motivates monitoring efforts in populated areas. Traditional r...

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Main Authors: M. Dietze, S. Mohadjer, J. M. Turowski, T. A. Ehlers, N. Hovius
Format: Article
Language:English
Published: Copernicus Publications 2017-10-01
Series:Earth Surface Dynamics
Online Access:https://www.earth-surf-dynam.net/5/653/2017/esurf-5-653-2017.pdf
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spelling doaj-3123983fa8504dfba6eb956a32b880e12020-11-24T22:32:25ZengCopernicus PublicationsEarth Surface Dynamics2196-63112196-632X2017-10-01565366810.5194/esurf-5-653-2017Seismic monitoring of small alpine rockfalls – validity, precision and limitationsM. Dietze0S. Mohadjer1J. M. Turowski2T. A. Ehlers3N. Hovius4GFZ German Research Centre for Geosciences, Section 5.1 Geomorphology, Potsdam, GermanyUniversity of Tübingen, Department of Geosciences, Tübingen, GermanyGFZ German Research Centre for Geosciences, Section 5.1 Geomorphology, Potsdam, GermanyUniversity of Tübingen, Department of Geosciences, Tübingen, GermanyGFZ German Research Centre for Geosciences, Section 5.1 Geomorphology, Potsdam, GermanyRockfall in deglaciated mountain valleys is perhaps the most important post-glacial geomorphic process for determining the rates and patterns of valley wall erosion. Furthermore, rockfall poses a significant hazard to inhabitants and motivates monitoring efforts in populated areas. Traditional rockfall detection methods, such as aerial photography and terrestrial laser scanning (TLS) data evaluation, provide constraints on the location and released volume of rock but have limitations due to significant time lags or integration times between surveys, and deliver limited information on rockfall triggering mechanisms and the dynamics of individual events. Environmental seismology, the study of seismic signals emitted by processes at the Earth's surface, provides a complementary solution to these shortcomings. However, this approach is predominantly limited by the strength of the signals emitted by a source and their transformation and attenuation towards receivers. To test the ability of seismic methods to identify and locate small rockfalls, and to characterise their dynamics, we surveyed a 2.16 km<sup>2</sup> large, near-vertical cliff section of the Lauterbrunnen Valley in the Swiss Alps with a TLS device and six broadband seismometers. During 37 days in autumn 2014, 10 TLS-detected rockfalls with volumes ranging from 0.053 ± 0.004 to 2.338 ± 0.085 m<sup>3</sup> were independently detected and located by the seismic approach, with a deviation of 81<sub>−29</sub><sup>+59</sup> m (about 7 % of the average inter-station distance of the seismometer network). Further potential rockfalls were detected outside the TLS-surveyed cliff area. The onset of individual events can be determined within a few milliseconds, and their dynamics can be resolved into distinct phases, such as detachment, free fall, intermittent impact, fragmentation, arrival at the talus slope and subsequent slope activity. The small rockfall volumes in this area require significant supervision during data processing: 2175 initially picked potential events reduced to 511 potential events after applying automatic rejection criteria. The 511 events needed to be inspected manually to reveal 19 short earthquakes and 37 potential rockfalls, including the 10 TLS-detected events. Rockfall volume does not show a relationship with released seismic energy or peak amplitude at this spatial scale due to the dominance of other, process-inherent factors, such as fall height, degree of fragmentation, and subsequent talus slope activity. The combination of TLS and environmental seismology provides, despite the significant amount of manual data processing, a detailed validation of seismic detection of small volume rockfalls, and revealed unprecedented temporal, spatial and geometric details about rockfalls in steep mountainous terrain.https://www.earth-surf-dynam.net/5/653/2017/esurf-5-653-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Dietze
S. Mohadjer
J. M. Turowski
T. A. Ehlers
N. Hovius
spellingShingle M. Dietze
S. Mohadjer
J. M. Turowski
T. A. Ehlers
N. Hovius
Seismic monitoring of small alpine rockfalls – validity, precision and limitations
Earth Surface Dynamics
author_facet M. Dietze
S. Mohadjer
J. M. Turowski
T. A. Ehlers
N. Hovius
author_sort M. Dietze
title Seismic monitoring of small alpine rockfalls – validity, precision and limitations
title_short Seismic monitoring of small alpine rockfalls – validity, precision and limitations
title_full Seismic monitoring of small alpine rockfalls – validity, precision and limitations
title_fullStr Seismic monitoring of small alpine rockfalls – validity, precision and limitations
title_full_unstemmed Seismic monitoring of small alpine rockfalls – validity, precision and limitations
title_sort seismic monitoring of small alpine rockfalls – validity, precision and limitations
publisher Copernicus Publications
series Earth Surface Dynamics
issn 2196-6311
2196-632X
publishDate 2017-10-01
description Rockfall in deglaciated mountain valleys is perhaps the most important post-glacial geomorphic process for determining the rates and patterns of valley wall erosion. Furthermore, rockfall poses a significant hazard to inhabitants and motivates monitoring efforts in populated areas. Traditional rockfall detection methods, such as aerial photography and terrestrial laser scanning (TLS) data evaluation, provide constraints on the location and released volume of rock but have limitations due to significant time lags or integration times between surveys, and deliver limited information on rockfall triggering mechanisms and the dynamics of individual events. Environmental seismology, the study of seismic signals emitted by processes at the Earth's surface, provides a complementary solution to these shortcomings. However, this approach is predominantly limited by the strength of the signals emitted by a source and their transformation and attenuation towards receivers. To test the ability of seismic methods to identify and locate small rockfalls, and to characterise their dynamics, we surveyed a 2.16 km<sup>2</sup> large, near-vertical cliff section of the Lauterbrunnen Valley in the Swiss Alps with a TLS device and six broadband seismometers. During 37 days in autumn 2014, 10 TLS-detected rockfalls with volumes ranging from 0.053 ± 0.004 to 2.338 ± 0.085 m<sup>3</sup> were independently detected and located by the seismic approach, with a deviation of 81<sub>−29</sub><sup>+59</sup> m (about 7 % of the average inter-station distance of the seismometer network). Further potential rockfalls were detected outside the TLS-surveyed cliff area. The onset of individual events can be determined within a few milliseconds, and their dynamics can be resolved into distinct phases, such as detachment, free fall, intermittent impact, fragmentation, arrival at the talus slope and subsequent slope activity. The small rockfall volumes in this area require significant supervision during data processing: 2175 initially picked potential events reduced to 511 potential events after applying automatic rejection criteria. The 511 events needed to be inspected manually to reveal 19 short earthquakes and 37 potential rockfalls, including the 10 TLS-detected events. Rockfall volume does not show a relationship with released seismic energy or peak amplitude at this spatial scale due to the dominance of other, process-inherent factors, such as fall height, degree of fragmentation, and subsequent talus slope activity. The combination of TLS and environmental seismology provides, despite the significant amount of manual data processing, a detailed validation of seismic detection of small volume rockfalls, and revealed unprecedented temporal, spatial and geometric details about rockfalls in steep mountainous terrain.
url https://www.earth-surf-dynam.net/5/653/2017/esurf-5-653-2017.pdf
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