A Preliminary System to Predict Snow Instability using Acoustic Emissions

Abstract Results From the last four winters’ studies on acoustic emissions from snow slopes have shown that periods of higher noise in the frequency band 5 to 125 Hz are associated with periods of instability, but that the phenomenon of acoustic emissions from unstable snow is very weak. Interferenc...

Full description

Bibliographic Details
Published in:Journal of Glaciology
Main Author: Sommerfeld, R. A.
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 1980
Subjects:
Online Access:http://dx.doi.org/10.1017/s002214300001114x
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S002214300001114X
id crcambridgeupr:10.1017/s002214300001114x
record_format openpolar
spelling crcambridgeupr:10.1017/s002214300001114x 2024-03-03T08:45:56+00:00 A Preliminary System to Predict Snow Instability using Acoustic Emissions Sommerfeld, R. A. 1980 http://dx.doi.org/10.1017/s002214300001114x https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S002214300001114X en eng Cambridge University Press (CUP) Journal of Glaciology volume 26, issue 94, page 520 ISSN 0022-1430 1727-5652 Earth-Surface Processes journal-article 1980 crcambridgeupr https://doi.org/10.1017/s002214300001114x 2024-02-08T08:47:47Z Abstract Results From the last four winters’ studies on acoustic emissions from snow slopes have shown that periods of higher noise in the frequency band 5 to 125 Hz are associated with periods of instability, but that the phenomenon of acoustic emissions from unstable snow is very weak. Interference with the acoustic emissions from extraneous sources such as chairlifts, trucks, and airplanes causes ambiguities in the data which interfere with the straightforward prediction of instability. Spectra of the noises were examined, with the idea that filters might improve the signal-to-noise ratio. It was found that the noise generated by unstable snow can occur over a fairly wide range of frequencies and that there is no band of frequencies which is unique to unstable snow. It was found that the noise from the chairlift had a very stable spectrum and that it had a band from 50 to 65 Hz which was pronounced and in which the snow noise was fairly low. The r.m.s. voltage in the band 5 to 125 Hz can therefore be reduced by subtracting a proportion of the r.m.s. output of a narrow-band 55 Hz filter. By adjusting the constant of proportionality, it was possible to eliminate interference from the chairlift almost entirely, and this will be used. Spectral analyses have also shown that ambiguities are generated by variations in the 60 Hz power-line noise. It is possible to suppress this with the use of filters, but without complex digital data manipulation, it is not possible to eliminate it. The fact that the snow noise does not transmit over large distances means that events of interest should not occur simultaneously on two, widely spaced geophones. The system will include a geophone in an unstressed region whose r.m.s. voltage will be subtracted from that of the geophone in the stressed region to eliminate signals which are common to both. It is hoped that this technique will eliminate ambiguities caused by extraneous sources such as trucks and airplanes. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Journal of Glaciology 26 94 520
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
topic Earth-Surface Processes
spellingShingle Earth-Surface Processes
Sommerfeld, R. A.
A Preliminary System to Predict Snow Instability using Acoustic Emissions
topic_facet Earth-Surface Processes
description Abstract Results From the last four winters’ studies on acoustic emissions from snow slopes have shown that periods of higher noise in the frequency band 5 to 125 Hz are associated with periods of instability, but that the phenomenon of acoustic emissions from unstable snow is very weak. Interference with the acoustic emissions from extraneous sources such as chairlifts, trucks, and airplanes causes ambiguities in the data which interfere with the straightforward prediction of instability. Spectra of the noises were examined, with the idea that filters might improve the signal-to-noise ratio. It was found that the noise generated by unstable snow can occur over a fairly wide range of frequencies and that there is no band of frequencies which is unique to unstable snow. It was found that the noise from the chairlift had a very stable spectrum and that it had a band from 50 to 65 Hz which was pronounced and in which the snow noise was fairly low. The r.m.s. voltage in the band 5 to 125 Hz can therefore be reduced by subtracting a proportion of the r.m.s. output of a narrow-band 55 Hz filter. By adjusting the constant of proportionality, it was possible to eliminate interference from the chairlift almost entirely, and this will be used. Spectral analyses have also shown that ambiguities are generated by variations in the 60 Hz power-line noise. It is possible to suppress this with the use of filters, but without complex digital data manipulation, it is not possible to eliminate it. The fact that the snow noise does not transmit over large distances means that events of interest should not occur simultaneously on two, widely spaced geophones. The system will include a geophone in an unstressed region whose r.m.s. voltage will be subtracted from that of the geophone in the stressed region to eliminate signals which are common to both. It is hoped that this technique will eliminate ambiguities caused by extraneous sources such as trucks and airplanes.
format Article in Journal/Newspaper
author Sommerfeld, R. A.
author_facet Sommerfeld, R. A.
author_sort Sommerfeld, R. A.
title A Preliminary System to Predict Snow Instability using Acoustic Emissions
title_short A Preliminary System to Predict Snow Instability using Acoustic Emissions
title_full A Preliminary System to Predict Snow Instability using Acoustic Emissions
title_fullStr A Preliminary System to Predict Snow Instability using Acoustic Emissions
title_full_unstemmed A Preliminary System to Predict Snow Instability using Acoustic Emissions
title_sort preliminary system to predict snow instability using acoustic emissions
publisher Cambridge University Press (CUP)
publishDate 1980
url http://dx.doi.org/10.1017/s002214300001114x
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S002214300001114X
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology
volume 26, issue 94, page 520
ISSN 0022-1430 1727-5652
op_doi https://doi.org/10.1017/s002214300001114x
container_title Journal of Glaciology
container_volume 26
container_issue 94
container_start_page 520
_version_ 1792501618173804544