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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ftingv:oai:www.earth-prints.org:2122/1866 2024-06-09T07:45:54+00:00 Intelligent post processing of seismic events Kvaerna, T. Ringdal, F. Kvaerna, T.; NFR/NORSAR, Kjeller, Norway Ringdal, F.; NFR/NORSAR, Kjeller, Norway NFR/NORSAR, Kjeller, Norway 1994-06 3879370 bytes application/pdf http://hdl.handle.net/2122/1866 en eng 3/37 (1994) http://hdl.handle.net/2122/1866 open seismology signal processing onset time event location 05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous article 1994 ftingv 2024-05-15T08:06:18Z 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 Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Kola Peninsula Khibiny ENVELOPE(33.210,33.210,67.679,67.679) Apatity ENVELOPE(33.403,33.403,67.564,67.564) |
institution |
Open Polar |
collection |
Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) |
op_collection_id |
ftingv |
language |
English |
topic |
seismology signal processing onset time event location 05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous |
spellingShingle |
seismology signal processing onset time event location 05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous Kvaerna, T. Ringdal, F. Intelligent post processing of seismic events |
topic_facet |
seismology signal processing onset time event location 05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous |
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 ... |
author2 |
Kvaerna, T.; NFR/NORSAR, Kjeller, Norway Ringdal, F.; NFR/NORSAR, Kjeller, Norway NFR/NORSAR, Kjeller, Norway |
format |
Article in Journal/Newspaper |
author |
Kvaerna, T. Ringdal, F. |
author_facet |
Kvaerna, T. Ringdal, F. |
author_sort |
Kvaerna, T. |
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 |
publishDate |
1994 |
url |
http://hdl.handle.net/2122/1866 |
long_lat |
ENVELOPE(33.210,33.210,67.679,67.679) ENVELOPE(33.403,33.403,67.564,67.564) |
geographic |
Kola Peninsula Khibiny Apatity |
geographic_facet |
Kola Peninsula Khibiny Apatity |
genre |
Fennoscandia kola peninsula |
genre_facet |
Fennoscandia kola peninsula |
op_relation |
3/37 (1994) http://hdl.handle.net/2122/1866 |
op_rights |
open |
_version_ |
1801375560178335744 |