Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data

Seismic arrays for detection of small earthquakes benefit from reduced noise levels by array processing methods. We present a frequency-dependent multi-channel Wiener fil- tering (MCWF) technique, which employs an adaptive least-squares method to remove coherent noise in seismic array data. The noise...

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Published in:Bulletin of the Seismological Society of America
Main Authors: Wang, J., Schweitzer, J., Tilmann, F. J., White, R. S., Soosalu, H.
Format: Article in Journal/Newspaper
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.esc.cam.ac.uk/2060/
http://eprints.esc.cam.ac.uk/2060/1/wienerbssa.pdf
https://doi.org/10.1785/0120110003
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spelling ftucambridgeesc:oai:eprints.esc.cam.ac.uk:2060 2023-05-15T17:43:33+02:00 Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data Wang, J. Schweitzer, J. Tilmann, F. J. White, R. S. Soosalu, H. 2011-12 application/pdf http://eprints.esc.cam.ac.uk/2060/ http://eprints.esc.cam.ac.uk/2060/1/wienerbssa.pdf https://doi.org/10.1785/0120110003 en eng http://eprints.esc.cam.ac.uk/2060/1/wienerbssa.pdf Wang, J. and Schweitzer, J. and Tilmann, F. J. and White, R. S. and Soosalu, H. (2011) Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data. Bulletin of the Seismological Society of America, 101 (6). pp. 2887-2996. DOI https://doi.org/10.1785/0120110003 <https://doi.org/10.1785/0120110003> 02 - Geodynamics Geophysics and Tectonics Article PeerReviewed 2011 ftucambridgeesc https://doi.org/10.1785/0120110003 2020-08-27T18:09:08Z Seismic arrays for detection of small earthquakes benefit from reduced noise levels by array processing methods. We present a frequency-dependent multi-channel Wiener fil- tering (MCWF) technique, which employs an adaptive least-squares method to remove coherent noise in seismic array data. The noise records on a number of reference chan- nels are used to predict the noise on a primary channel, which can then be subtracted from the observed data. A sequence of aftershocks caused by a Feb, 21, 2008 main shock in Spitsbergen was recorded in 2008 by the ARCES array in northern Norway. This aftershock sequence was filtered using the multi-channel Wiener filters on both triggered and continuous modes. The Spitsbergen (SPITS) array at a much closer dis- tance to the source region provides reliable reference information on the true number of detectable aftershocks. The triggered procedure detects 631 aftershocks at ARCES in total, where conventional delay-and-sum beamforming combined with a band-pass filter could detect 513 aftershocks with 181 false alarms using a series of constraints, signal-to-noise ratio (SNR), back azimuth and slowness; the multi-channel Wiener fil- tered results found 577 aftershocks with 165 false alarms using the same constraints. A complete automatic multi-channel Wiener procedure is developed for event detec- tion on continuous data. The appropriate SNR threshold for aftershock detection 2.7 is suggested. The MCWF also demonstrates the advantage of reducing false alarms compared to the beamforming method when detecting the same number of aftershocks. Article in Journal/Newspaper Northern Norway Spitsbergen University of Cambridge, Department of Earth Sciences: ESC Publications Norway Bulletin of the Seismological Society of America 101 6 2887 2896
institution Open Polar
collection University of Cambridge, Department of Earth Sciences: ESC Publications
op_collection_id ftucambridgeesc
language English
topic 02 - Geodynamics
Geophysics and Tectonics
spellingShingle 02 - Geodynamics
Geophysics and Tectonics
Wang, J.
Schweitzer, J.
Tilmann, F. J.
White, R. S.
Soosalu, H.
Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data
topic_facet 02 - Geodynamics
Geophysics and Tectonics
description Seismic arrays for detection of small earthquakes benefit from reduced noise levels by array processing methods. We present a frequency-dependent multi-channel Wiener fil- tering (MCWF) technique, which employs an adaptive least-squares method to remove coherent noise in seismic array data. The noise records on a number of reference chan- nels are used to predict the noise on a primary channel, which can then be subtracted from the observed data. A sequence of aftershocks caused by a Feb, 21, 2008 main shock in Spitsbergen was recorded in 2008 by the ARCES array in northern Norway. This aftershock sequence was filtered using the multi-channel Wiener filters on both triggered and continuous modes. The Spitsbergen (SPITS) array at a much closer dis- tance to the source region provides reliable reference information on the true number of detectable aftershocks. The triggered procedure detects 631 aftershocks at ARCES in total, where conventional delay-and-sum beamforming combined with a band-pass filter could detect 513 aftershocks with 181 false alarms using a series of constraints, signal-to-noise ratio (SNR), back azimuth and slowness; the multi-channel Wiener fil- tered results found 577 aftershocks with 165 false alarms using the same constraints. A complete automatic multi-channel Wiener procedure is developed for event detec- tion on continuous data. The appropriate SNR threshold for aftershock detection 2.7 is suggested. The MCWF also demonstrates the advantage of reducing false alarms compared to the beamforming method when detecting the same number of aftershocks.
format Article in Journal/Newspaper
author Wang, J.
Schweitzer, J.
Tilmann, F. J.
White, R. S.
Soosalu, H.
author_facet Wang, J.
Schweitzer, J.
Tilmann, F. J.
White, R. S.
Soosalu, H.
author_sort Wang, J.
title Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data
title_short Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data
title_full Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data
title_fullStr Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data
title_full_unstemmed Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data
title_sort application of multi-channel wiener filter to regional event detection using norsar seismic array data
publishDate 2011
url http://eprints.esc.cam.ac.uk/2060/
http://eprints.esc.cam.ac.uk/2060/1/wienerbssa.pdf
https://doi.org/10.1785/0120110003
geographic Norway
geographic_facet Norway
genre Northern Norway
Spitsbergen
genre_facet Northern Norway
Spitsbergen
op_relation http://eprints.esc.cam.ac.uk/2060/1/wienerbssa.pdf
Wang, J. and Schweitzer, J. and Tilmann, F. J. and White, R. S. and Soosalu, H. (2011) Application of Multi-Channel Wiener Filter to regional event detection using NORSAR seismic array data. Bulletin of the Seismological Society of America, 101 (6). pp. 2887-2996. DOI https://doi.org/10.1785/0120110003 <https://doi.org/10.1785/0120110003>
op_doi https://doi.org/10.1785/0120110003
container_title Bulletin of the Seismological Society of America
container_volume 101
container_issue 6
container_start_page 2887
op_container_end_page 2896
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