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...

Full description

Bibliographic Details
Published in:Annals of Geophysics
Main Authors: C. R. D. Woodgold, R. G. North
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-4208
https://doaj.org/article/048d9f4e1d044843b94c8c14e30e3a1c
id ftdoajarticles:oai:doaj.org/article:048d9f4e1d044843b94c8c14e30e3a1c
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:048d9f4e1d044843b94c8c14e30e3a1c 2023-05-15T16:59:28+02:00 Automated detection and association of surface waves C. R. D. Woodgold R. G. North 1994-06-01T00:00:00Z https://doi.org/10.4401/ag-4208 https://doaj.org/article/048d9f4e1d044843b94c8c14e30e3a1c EN eng Istituto Nazionale di Geofisica e Vulcanologia (INGV) http://www.annalsofgeophysics.eu/index.php/annals/article/view/4208 https://doaj.org/toc/1593-5213 https://doaj.org/toc/2037-416X doi:10.4401/ag-4208 1593-5213 2037-416X https://doaj.org/article/048d9f4e1d044843b94c8c14e30e3a1c Annals of Geophysics, Vol 37, Iss 3 (1994) surface wave detection association automated detection azimuth determination Meteorology. Climatology QC851-999 Geophysics. Cosmic physics QC801-809 article 1994 ftdoajarticles https://doi.org/10.4401/ag-4208 2022-12-30T22:06:07Z 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 Directory of Open Access Journals: DOAJ Articles Tonga ENVELOPE(7.990,7.990,63.065,63.065) Yellowknife Annals of Geophysics 37 3
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic surface wave
detection
association
automated detection
azimuth determination
Meteorology. Climatology
QC851-999
Geophysics. Cosmic physics
QC801-809
spellingShingle surface wave
detection
association
automated detection
azimuth determination
Meteorology. Climatology
QC851-999
Geophysics. Cosmic physics
QC801-809
C. R. D. Woodgold
R. G. North
Automated detection and association of surface waves
topic_facet surface wave
detection
association
automated detection
azimuth determination
Meteorology. Climatology
QC851-999
Geophysics. Cosmic physics
QC801-809
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 C. R. D. Woodgold
R. G. North
author_facet C. R. D. Woodgold
R. G. North
author_sort C. R. D. Woodgold
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://doi.org/10.4401/ag-4208
https://doaj.org/article/048d9f4e1d044843b94c8c14e30e3a1c
long_lat ENVELOPE(7.990,7.990,63.065,63.065)
geographic Tonga
Yellowknife
geographic_facet Tonga
Yellowknife
genre Kamchatka
Yellowknife
genre_facet Kamchatka
Yellowknife
op_source Annals of Geophysics, Vol 37, Iss 3 (1994)
op_relation http://www.annalsofgeophysics.eu/index.php/annals/article/view/4208
https://doaj.org/toc/1593-5213
https://doaj.org/toc/2037-416X
doi:10.4401/ag-4208
1593-5213
2037-416X
https://doaj.org/article/048d9f4e1d044843b94c8c14e30e3a1c
op_doi https://doi.org/10.4401/ag-4208
container_title Annals of Geophysics
container_volume 37
container_issue 3
_version_ 1766051738368868352