Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation
SUMMARY We present an iterative classification scheme using interevent cross-correlation to update an existing earthquake catalogue with similar events from a list of automatic seismic event detections. The algorithm automatically produces catalogue quality events, with improved hypocentres and reli...
Published in: | Geophysical Journal International |
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Language: | English |
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Oxford University Press (OUP)
2019
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Online Access: | http://dx.doi.org/10.1093/gji/ggz362 http://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggz362/29149393/ggz362.pdf http://academic.oup.com/gji/article-pdf/219/2/1268/31057645/ggz362.pdf |
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croxfordunivpr:10.1093/gji/ggz362 2023-10-09T21:52:50+02:00 Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation Wagner, F Tryggvason, A Roberts, R Gudmundsson, Ó Swedish Research Council Icelandic Research Fund 2019 http://dx.doi.org/10.1093/gji/ggz362 http://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggz362/29149393/ggz362.pdf http://academic.oup.com/gji/article-pdf/219/2/1268/31057645/ggz362.pdf en eng Oxford University Press (OUP) http://creativecommons.org/licenses/by/4.0/ Geophysical Journal International volume 219, issue 2, page 1268-1280 ISSN 0956-540X 1365-246X Geochemistry and Petrology Geophysics journal-article 2019 croxfordunivpr https://doi.org/10.1093/gji/ggz362 2023-09-22T11:15:40Z SUMMARY We present an iterative classification scheme using interevent cross-correlation to update an existing earthquake catalogue with similar events from a list of automatic seismic event detections. The algorithm automatically produces catalogue quality events, with improved hypocentres and reliable P- and S-arrival time information. Detected events are classified into four event categories with the purpose of using the top category, with the highest assessed event quality and highest true-to-false ratio, directly for local earthquake tomography without additional manual analysis. The remaining categories have varying proportions of lower quality events, quality being defined primarily by the number of observed phase onsets, and can be viewed as different priority groups for manual inspection to reduce the time spent by a seismic analyst. A list of 3348 event detections from the geothermally active volcanic region around Hengill, southwest Iceland, produced by our migration and stack detector (Wagner et al. 2017), was processed using a reference catalogue of 1108 manually picked events from the same area. P- and S-phase onset times were automatically determined for the detected events using correlation time lags with respect to manually picked phase arrivals from different multiple reference events at the same station. A significant improvement of the initial hypocentre estimates was achieved after relocating the detected events using the computed phase onset times. The differential time data set resulting from the correlation was successfully used for a double-difference relocation of the final updated catalogue. The routine can potentially be implemented in real-time seismic monitoring environments in combination with a variety of seismic event/phase detectors. Article in Journal/Newspaper Iceland Oxford University Press (via Crossref) Hengill ENVELOPE(-21.306,-21.306,64.078,64.078) Geophysical Journal International 219 2 1268 1280 |
institution |
Open Polar |
collection |
Oxford University Press (via Crossref) |
op_collection_id |
croxfordunivpr |
language |
English |
topic |
Geochemistry and Petrology Geophysics |
spellingShingle |
Geochemistry and Petrology Geophysics Wagner, F Tryggvason, A Roberts, R Gudmundsson, Ó Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation |
topic_facet |
Geochemistry and Petrology Geophysics |
description |
SUMMARY We present an iterative classification scheme using interevent cross-correlation to update an existing earthquake catalogue with similar events from a list of automatic seismic event detections. The algorithm automatically produces catalogue quality events, with improved hypocentres and reliable P- and S-arrival time information. Detected events are classified into four event categories with the purpose of using the top category, with the highest assessed event quality and highest true-to-false ratio, directly for local earthquake tomography without additional manual analysis. The remaining categories have varying proportions of lower quality events, quality being defined primarily by the number of observed phase onsets, and can be viewed as different priority groups for manual inspection to reduce the time spent by a seismic analyst. A list of 3348 event detections from the geothermally active volcanic region around Hengill, southwest Iceland, produced by our migration and stack detector (Wagner et al. 2017), was processed using a reference catalogue of 1108 manually picked events from the same area. P- and S-phase onset times were automatically determined for the detected events using correlation time lags with respect to manually picked phase arrivals from different multiple reference events at the same station. A significant improvement of the initial hypocentre estimates was achieved after relocating the detected events using the computed phase onset times. The differential time data set resulting from the correlation was successfully used for a double-difference relocation of the final updated catalogue. The routine can potentially be implemented in real-time seismic monitoring environments in combination with a variety of seismic event/phase detectors. |
author2 |
Swedish Research Council Icelandic Research Fund |
format |
Article in Journal/Newspaper |
author |
Wagner, F Tryggvason, A Roberts, R Gudmundsson, Ó |
author_facet |
Wagner, F Tryggvason, A Roberts, R Gudmundsson, Ó |
author_sort |
Wagner, F |
title |
Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation |
title_short |
Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation |
title_full |
Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation |
title_fullStr |
Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation |
title_full_unstemmed |
Processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation |
title_sort |
processing automatic seismic event detections: an iterative sorting algorithm improving earthquake hypocentres using interevent cross-correlation |
publisher |
Oxford University Press (OUP) |
publishDate |
2019 |
url |
http://dx.doi.org/10.1093/gji/ggz362 http://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggz362/29149393/ggz362.pdf http://academic.oup.com/gji/article-pdf/219/2/1268/31057645/ggz362.pdf |
long_lat |
ENVELOPE(-21.306,-21.306,64.078,64.078) |
geographic |
Hengill |
geographic_facet |
Hengill |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Geophysical Journal International volume 219, issue 2, page 1268-1280 ISSN 0956-540X 1365-246X |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1093/gji/ggz362 |
container_title |
Geophysical Journal International |
container_volume |
219 |
container_issue |
2 |
container_start_page |
1268 |
op_container_end_page |
1280 |
_version_ |
1779316016847781888 |