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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Published in:Annals of Geophysics
Main Authors: F. Ringdal, T. Kvaerna
Format: Article in Journal/Newspaper
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 1994
Subjects:
Online Access:https://doi.org/10.4401/ag-4209
https://doaj.org/article/3fc886e7f79744109bb7d2396a56d28a
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spelling 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
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