Earthquake focal mechanisms with distributed acoustic sensing.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
13 Jul 2023
Historique:
received: 19 04 2023
accepted: 21 06 2023
medline: 17 7 2023
pubmed: 14 7 2023
entrez: 13 7 2023
Statut: epublish

Résumé

Earthquake focal mechanisms provide critical in-situ insights about the subsurface faulting geometry and stress state. For frequent small earthquakes (magnitude< 3.5), their focal mechanisms are routinely determined using first-arrival polarities picked on the vertical component of seismometers. Nevertheless, their quality is usually limited by the azimuthal coverage of the local seismic network. The emerging distributed acoustic sensing (DAS) technology, which can convert pre-existing telecommunication cables into arrays of strain/strain-rate meters, can potentially fill the azimuthal gap and enhance constraints on the nodal plane orientation through its long sensing range and dense spatial sampling. However, determining first-arrival polarities on DAS is challenging due to its single-component sensing and low signal-to-noise ratio for direct body waves. Here, we present a data-driven method that measures P-wave polarities on a DAS array based on cross-correlations between earthquake pairs. We validate the inferred polarities using the regional network catalog on two DAS arrays, deployed in California and each comprising ~ 5000 channels. We demonstrate that a joint focal mechanism inversion combining conventional and DAS polarity picks improves the accuracy and reduces the uncertainty in the focal plane orientation. Our results highlight the significant potential of integrating DAS with conventional networks for investigating high-resolution earthquake source mechanisms.

Identifiants

pubmed: 37443136
doi: 10.1038/s41467-023-39639-3
pii: 10.1038/s41467-023-39639-3
pmc: PMC10345142
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4181

Subventions

Organisme : National Science Foundation (NSF)
ID : EAR-1848166

Informations de copyright

© 2023. The Author(s).

Références

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Nat Commun. 2022 Mar 31;13(1):1753
pubmed: 35361757
Nat Commun. 2021 Mar 4;12(1):1432
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Auteurs

Jiaxuan Li (J)

Seismological Laboratory, Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA. jxli@caltech.edu.

Weiqiang Zhu (W)

Seismological Laboratory, Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA.

Ettore Biondi (E)

Seismological Laboratory, Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA.

Zhongwen Zhan (Z)

Seismological Laboratory, Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA.

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