Shi, P orcid.org/0000-0001-5782-245X, Angus, D, Rost, S orcid.org/0000-0003-0218-247X et al. (2 more authors) (2019) Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory. Geophysical Journal International, 216 (3). pp. 1842-1866. ISSN 0956-540X
Abstract
With the proliferation of dense seismic networks sampling the full seismic wavefield, recorded seismic data volumes are getting bigger and automated analysis tools to locate seismic events are essential. Here, we propose a novel Multichannel Coherency Migration (MCM) method to locate earthquakes in continuous seismic data and reveal the location and origin time of seismic events directly from recorded waveforms. By continuously calculating the coherency between waveforms from different receiver pairs, MCM greatly expands the available information which can be used for event location. MCM does not require phase picking or phase identification, which allows fully automated waveform analysis. By migrating the coherency between waveforms, MCM leads to improved source energy focusing. We have tested and compared MCM to other migration-based methods in noise-free and noisy synthetic data. The tests and analysis show that MCM is noise resistant and can achieve more accurate results compared with other migration-based methods. MCM is able to suppress strong interference from other seismic sources occurring at a similar time and location. It can be used with arbitrary 3D velocity models and is able to obtain reasonable location results with smooth but inaccurate velocity models. MCM exhibits excellent location performance and can be easily parallelized giving it large potential to be developed as a real-time location method for very large datasets.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018, The Author(s). Published by Oxford University Press on behalf of The Royal Astronomical Society. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Earthquake source observations; computational seismology; time-series analysis; earthquake monitoring and test-ban treaty verification |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Funding Information: | Funder Grant number Leverhulme Trust ECF-2014-496 |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Mar 2018 08:49 |
Last Modified: | 25 Jun 2020 23:54 |
Status: | Published |
Publisher: | Oxford University Press |
Identification Number: | 10.1093/gji/ggy132 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129024 |