Automated detection and association of surface waves

An algorithm for the automatic detection and association of surface waves has been developed and tested over an 18 month interval on broad band data from the Yellowknife array (YKA). The detection algorithm uses a conventional STA/LTA scheme on data that have been narrow band filtered at 20 s period...

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Published in:Annals of Geophysics
Main Authors: North, R. G., Woodgold, C. R. D.
Format: Article in Journal/Newspaper
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia, INGV 1994
Subjects:
Online Access:https://www.annalsofgeophysics.eu/index.php/annals/article/view/4208
https://doi.org/10.4401/ag-4208
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spelling ftjaog:oai:ojs.annalsofgeophysics.eu:article/4208 2023-05-15T16:59:27+02:00 Automated detection and association of surface waves North, R. G. Woodgold, C. R. D. 1994-11-25 application/pdf https://www.annalsofgeophysics.eu/index.php/annals/article/view/4208 https://doi.org/10.4401/ag-4208 eng eng Istituto Nazionale di Geofisica e Vulcanologia, INGV https://www.annalsofgeophysics.eu/index.php/annals/article/view/4208/4277 https://www.annalsofgeophysics.eu/index.php/annals/article/view/4208 doi:10.4401/ag-4208 Annals of Geophysics; V. 37 N. 3 (1994) Annals of Geophysics; Vol. 37 No. 3 (1994) 2037-416X 1593-5213 surface wave detection association automated detection azimuth determination 05.01.01. Data processing info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 1994 ftjaog https://doi.org/10.4401/ag-4208 2022-03-27T06:36:59Z An algorithm for the automatic detection and association of surface waves has been developed and tested over an 18 month interval on broad band data from the Yellowknife array (YKA). The detection algorithm uses a conventional STA/LTA scheme on data that have been narrow band filtered at 20 s periods and a test is then applied to identify dispersion. An average of 9 surface waves are detected daily using this technique. Beamforming is applied to determine the arrival azimuth; at a nonarray station this could be provided by poIarization analysis. The detected surface waves are associated daily with the events located by the short period array at Yellowknife, and later with the events listed in the USGS NEIC Monthly Summaries. Association requires matching both arrival time and azimuth of the Rayleigh waves. Regional calibration of group velocity and azimuth is required. . Large variations in both group velocity and azimuth corrections were found, as an example, signals from events in Fiji Tonga arrive with apparent group velocities of 2.9 3.5 krn/s and azimuths from 5 to + 40 degrees clockwise from true (great circle) azimuth, whereas signals from Kuriles Kamchatka have velocities of 2.4 2.9 km/s and azimuths off by 35 to 0 degrees. After applying the regional corrections, surface waves are considered associated if the arrival time matches to within 0.25 km/s in apparent group velocity and the azimuth is within 30 degrees of the median expected. Over the 18 month period studied, 32% of the automatically detected surface waves were associated with events located by the Yellowknife short period array, and 34% (1591) with NEIC events; there is about 70% overlap between the two sets of events. Had the automatic detections been reported to the USGS, YKA would have ranked second (after LZH) in terms of numbers of associated surface waves for the study period of April 1991 to September 1992. Article in Journal/Newspaper Kamchatka Yellowknife Annals of Geophysics (INGV, Istituto Nazionale di Geofisica e Vulcanologia) Yellowknife Tonga ENVELOPE(7.990,7.990,63.065,63.065) Annals of Geophysics 37 3
institution Open Polar
collection Annals of Geophysics (INGV, Istituto Nazionale di Geofisica e Vulcanologia)
op_collection_id ftjaog
language English
topic surface wave
detection
association
automated detection
azimuth determination
05.01.01. Data processing
spellingShingle surface wave
detection
association
automated detection
azimuth determination
05.01.01. Data processing
North, R. G.
Woodgold, C. R. D.
Automated detection and association of surface waves
topic_facet surface wave
detection
association
automated detection
azimuth determination
05.01.01. Data processing
description An algorithm for the automatic detection and association of surface waves has been developed and tested over an 18 month interval on broad band data from the Yellowknife array (YKA). The detection algorithm uses a conventional STA/LTA scheme on data that have been narrow band filtered at 20 s periods and a test is then applied to identify dispersion. An average of 9 surface waves are detected daily using this technique. Beamforming is applied to determine the arrival azimuth; at a nonarray station this could be provided by poIarization analysis. The detected surface waves are associated daily with the events located by the short period array at Yellowknife, and later with the events listed in the USGS NEIC Monthly Summaries. Association requires matching both arrival time and azimuth of the Rayleigh waves. Regional calibration of group velocity and azimuth is required. . Large variations in both group velocity and azimuth corrections were found, as an example, signals from events in Fiji Tonga arrive with apparent group velocities of 2.9 3.5 krn/s and azimuths from 5 to + 40 degrees clockwise from true (great circle) azimuth, whereas signals from Kuriles Kamchatka have velocities of 2.4 2.9 km/s and azimuths off by 35 to 0 degrees. After applying the regional corrections, surface waves are considered associated if the arrival time matches to within 0.25 km/s in apparent group velocity and the azimuth is within 30 degrees of the median expected. Over the 18 month period studied, 32% of the automatically detected surface waves were associated with events located by the Yellowknife short period array, and 34% (1591) with NEIC events; there is about 70% overlap between the two sets of events. Had the automatic detections been reported to the USGS, YKA would have ranked second (after LZH) in terms of numbers of associated surface waves for the study period of April 1991 to September 1992.
format Article in Journal/Newspaper
author North, R. G.
Woodgold, C. R. D.
author_facet North, R. G.
Woodgold, C. R. D.
author_sort North, R. G.
title Automated detection and association of surface waves
title_short Automated detection and association of surface waves
title_full Automated detection and association of surface waves
title_fullStr Automated detection and association of surface waves
title_full_unstemmed Automated detection and association of surface waves
title_sort automated detection and association of surface waves
publisher Istituto Nazionale di Geofisica e Vulcanologia, INGV
publishDate 1994
url https://www.annalsofgeophysics.eu/index.php/annals/article/view/4208
https://doi.org/10.4401/ag-4208
long_lat ENVELOPE(7.990,7.990,63.065,63.065)
geographic Yellowknife
Tonga
geographic_facet Yellowknife
Tonga
genre Kamchatka
Yellowknife
genre_facet Kamchatka
Yellowknife
op_source Annals of Geophysics; V. 37 N. 3 (1994)
Annals of Geophysics; Vol. 37 No. 3 (1994)
2037-416X
1593-5213
op_relation https://www.annalsofgeophysics.eu/index.php/annals/article/view/4208/4277
https://www.annalsofgeophysics.eu/index.php/annals/article/view/4208
doi:10.4401/ag-4208
op_doi https://doi.org/10.4401/ag-4208
container_title Annals of Geophysics
container_volume 37
container_issue 3
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