Intelligent post processing of seismic events
The Intelligent Monitoring Systern (IMS) currently provides for joint processing of data from six arrays located in Northern and Central Europe. From experience with analyst review of events automatically defined by the IMS, we bave realized that the quality of the automatic event locations can be s...
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Istituto Nazionale di Geofisica e Vulcanologia (INGV)
1994
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ftdoajarticles:oai:doaj.org/article:3fc886e7f79744109bb7d2396a56d28a 2023-05-15T16:12:17+02:00 Intelligent post processing of seismic events F. Ringdal T. Kvaerna 1994-06-01T00:00:00Z https://doi.org/10.4401/ag-4209 https://doaj.org/article/3fc886e7f79744109bb7d2396a56d28a EN eng Istituto Nazionale di Geofisica e Vulcanologia (INGV) http://www.annalsofgeophysics.eu/index.php/annals/article/view/4209 https://doaj.org/toc/1593-5213 https://doaj.org/toc/2037-416X doi:10.4401/ag-4209 1593-5213 2037-416X https://doaj.org/article/3fc886e7f79744109bb7d2396a56d28a Annals of Geophysics, Vol 37, Iss 3 (1994) seismology signal processing onset time event location Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 article 1994 ftdoajarticles https://doi.org/10.4401/ag-4209 2022-12-31T12:39:58Z The Intelligent Monitoring Systern (IMS) currently provides for joint processing of data from six arrays located in Northern and Central Europe. From experience with analyst review of events automatically defined by the IMS, we bave realized that the quality of the automatic event locations can be significantly improved if the event intervals are reprocessed with signal processing pararneters tuned to phases from events in the given region. The tuned processing parameters are obtained from off line analysis of events located in the region of interest. The primary goal of such intelligent post processing is to provide event definitions of a quality that minimizes the need for subsequent manual analysis. The first step in this post processing is to subdivide the arca to be monitored in order to identify sites of interest. Clearly, calibration will be the easiest and potential savings in manpower are the largest for areas of high, recurring seismicity. We bave identified 8 mining sites in Fennoscandia/NW Russia and noted that 65.6% of the events of ML > 2.0 in this region can be associated with one of these sites. This result is based on 1 year and a half of data. The second step is to refine the phase arrival and azimuth estimates using frequency filters and processing parameters that are tuned to the initial event location provided by the IMS. In this study, we have analyzed a set of 52 mining explosions from the Khibiny Massif mining area in the Kola peninsula of Russia. Very accurate locations of these events bave been provided by the seismologists from the Kola Regional Seismology Centre. Using an autoregressive likelihood technique we have been able to estimate onset times to an accuracy (standard deviation) of about 0.05 s for P phases and 0.15 0.20 s for S phases. Using fixed frequency bands, azimuth can be estimated to an accuracy (one standard deviation) of 0.9 degrees for the ARCESS array and 3 4 degrees for the small array recently established near Apatity on the Kola peninsula. The third step in the ... Article in Journal/Newspaper Fennoscandia kola peninsula Directory of Open Access Journals: DOAJ Articles Apatity ENVELOPE(33.403,33.403,67.564,67.564) Khibiny ENVELOPE(33.210,33.210,67.679,67.679) Kola Peninsula Annals of Geophysics 37 3 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
seismology signal processing onset time event location Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
seismology signal processing onset time event location Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 F. Ringdal T. Kvaerna Intelligent post processing of seismic events |
topic_facet |
seismology signal processing onset time event location Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 |
description |
The Intelligent Monitoring Systern (IMS) currently provides for joint processing of data from six arrays located in Northern and Central Europe. From experience with analyst review of events automatically defined by the IMS, we bave realized that the quality of the automatic event locations can be significantly improved if the event intervals are reprocessed with signal processing pararneters tuned to phases from events in the given region. The tuned processing parameters are obtained from off line analysis of events located in the region of interest. The primary goal of such intelligent post processing is to provide event definitions of a quality that minimizes the need for subsequent manual analysis. The first step in this post processing is to subdivide the arca to be monitored in order to identify sites of interest. Clearly, calibration will be the easiest and potential savings in manpower are the largest for areas of high, recurring seismicity. We bave identified 8 mining sites in Fennoscandia/NW Russia and noted that 65.6% of the events of ML > 2.0 in this region can be associated with one of these sites. This result is based on 1 year and a half of data. The second step is to refine the phase arrival and azimuth estimates using frequency filters and processing parameters that are tuned to the initial event location provided by the IMS. In this study, we have analyzed a set of 52 mining explosions from the Khibiny Massif mining area in the Kola peninsula of Russia. Very accurate locations of these events bave been provided by the seismologists from the Kola Regional Seismology Centre. Using an autoregressive likelihood technique we have been able to estimate onset times to an accuracy (standard deviation) of about 0.05 s for P phases and 0.15 0.20 s for S phases. Using fixed frequency bands, azimuth can be estimated to an accuracy (one standard deviation) of 0.9 degrees for the ARCESS array and 3 4 degrees for the small array recently established near Apatity on the Kola peninsula. The third step in the ... |
format |
Article in Journal/Newspaper |
author |
F. Ringdal T. Kvaerna |
author_facet |
F. Ringdal T. Kvaerna |
author_sort |
F. Ringdal |
title |
Intelligent post processing of seismic events |
title_short |
Intelligent post processing of seismic events |
title_full |
Intelligent post processing of seismic events |
title_fullStr |
Intelligent post processing of seismic events |
title_full_unstemmed |
Intelligent post processing of seismic events |
title_sort |
intelligent post processing of seismic events |
publisher |
Istituto Nazionale di Geofisica e Vulcanologia (INGV) |
publishDate |
1994 |
url |
https://doi.org/10.4401/ag-4209 https://doaj.org/article/3fc886e7f79744109bb7d2396a56d28a |
long_lat |
ENVELOPE(33.403,33.403,67.564,67.564) ENVELOPE(33.210,33.210,67.679,67.679) |
geographic |
Apatity Khibiny Kola Peninsula |
geographic_facet |
Apatity Khibiny Kola Peninsula |
genre |
Fennoscandia kola peninsula |
genre_facet |
Fennoscandia kola peninsula |
op_source |
Annals of Geophysics, Vol 37, Iss 3 (1994) |
op_relation |
http://www.annalsofgeophysics.eu/index.php/annals/article/view/4209 https://doaj.org/toc/1593-5213 https://doaj.org/toc/2037-416X doi:10.4401/ag-4209 1593-5213 2037-416X https://doaj.org/article/3fc886e7f79744109bb7d2396a56d28a |
op_doi |
https://doi.org/10.4401/ag-4209 |
container_title |
Annals of Geophysics |
container_volume |
37 |
container_issue |
3 |
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1765997560184438784 |