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Distributed sensing of microseisms and teleseisms with submarine dark fibers

Author

Listed:
  • Ethan F. Williams

    (California Institute of Technology)

  • María R. Fernández-Ruiz

    (University of Alcalá, Polytechnic School)

  • Regina Magalhaes

    (University of Alcalá, Polytechnic School)

  • Roel Vanthillo

    (Marlinks)

  • Zhongwen Zhan

    (California Institute of Technology)

  • Miguel González-Herráez

    (University of Alcalá, Polytechnic School)

  • Hugo F. Martins

    (Instituto de Óptica, CSIC)

Abstract

Sparse seismic instrumentation in the oceans limits our understanding of deep Earth dynamics and submarine earthquakes. Distributed acoustic sensing (DAS), an emerging technology that converts optical fiber to seismic sensors, allows us to leverage pre-existing submarine telecommunication cables for seismic monitoring. Here we report observations of microseism, local surface gravity waves, and a teleseismic earthquake along a 4192-sensor ocean-bottom DAS array offshore Belgium. We observe in-situ how opposing groups of ocean surface gravity waves generate double-frequency seismic Scholte waves, as described by the Longuet-Higgins theory of microseism generation. We also extract P- and S-wave phases from the 2018-08-19 $${M}_{w}8.2$$Mw8.2 Fiji deep earthquake in the 0.01-1 Hz frequency band, though waveform fidelity is low at high frequencies. These results suggest significant potential of DAS in next-generation submarine seismic networks.

Suggested Citation

  • Ethan F. Williams & María R. Fernández-Ruiz & Regina Magalhaes & Roel Vanthillo & Zhongwen Zhan & Miguel González-Herráez & Hugo F. Martins, 2019. "Distributed sensing of microseisms and teleseisms with submarine dark fibers," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13262-7
    DOI: 10.1038/s41467-019-13262-7
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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.
    2. Jianmin Lin & Sunke Fang & Runjing He & Qunshu Tang & Fengzhong Qu & Baoshan Wang & Wen Xu, 2024. "Monitoring ocean currents during the passage of Typhoon Muifa using optical-fiber distributed acoustic sensing," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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