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Earthquake focal mechanisms with distributed acoustic sensing

Author

Listed:
  • Jiaxuan Li

    (California Institute of Technology)

  • Weiqiang Zhu

    (California Institute of Technology)

  • Ettore Biondi

    (California Institute of Technology)

  • Zhongwen Zhan

    (California Institute of Technology)

Abstract

Earthquake focal mechanisms provide critical in-situ insights about the subsurface faulting geometry and stress state. For frequent small earthquakes (magnitude

Suggested Citation

  • Jiaxuan Li & Weiqiang Zhu & Ettore Biondi & Zhongwen Zhan, 2023. "Earthquake focal mechanisms with distributed acoustic sensing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39639-3
    DOI: 10.1038/s41467-023-39639-3
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    References listed on IDEAS

    as
    1. Wenhuan Kuang & Congcong Yuan & Jie Zhang, 2021. "Real-time determination of earthquake focal mechanism via deep learning," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    2. Philippe Jousset & Gilda Currenti & Benjamin Schwarz & Athena Chalari & Frederik Tilmann & Thomas Reinsch & Luciano Zuccarello & Eugenio Privitera & Charlotte M. Krawczyk, 2022. "Fibre optic distributed acoustic sensing of volcanic events," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
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    Cited by:

    1. Weiqiang Zhu & Ettore Biondi & Jiaxuan Li & Jiuxun Yin & Zachary E. Ross & Zhongwen Zhan, 2023. "Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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    1. Weiqiang Zhu & Ettore Biondi & Jiaxuan Li & Jiuxun Yin & Zachary E. Ross & Zhongwen Zhan, 2023. "Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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