Presentation 2022-08-22
Analysis of seismic data obtained with fiber optic distributed acoustic sensor
Takahiro Arioka, Kentaro Nakamura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Distributed acoustic sensor (DAS) observes the intensity and phase of Rayleigh backscattered light to measure the strain caused along with an optical fiber cable at intervals of several meters. In this article, we analyzed DAS measurement data performed from November 8 to December 2, 2019, using the dark fiber of the Sanriku offshore optical communication cable for the submarine earthquake and tsunami observation system owned by the Earthquake Research Institute, the University of Tokyo. We report the analysis results of the vibrations occurred by earthquake, waves, and ship.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Fiber Sensing / Distributed Acoustic Sensing / Seismic Observation
Paper # US2022-34
Date of Issue 2022-08-15 (US)

Conference Information
Committee US
Conference Date 2022/8/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Tech (Ookayama Campus)
Topics (in Japanese) (See Japanese page)
Topics (in English) Underwater acoustics, Ultrasonics, etc.
Chair Kentaro Nakamura(Tokyo Inst. of Tech.)
Vice Chair Yoshikazu Koike(Shibaura Inst. of Tech.) / Yasuaki Watanabe(Tokyo Metropolitan Univ.)
Secretary Yoshikazu Koike(Tohoku Univ.) / Yasuaki Watanabe(Chiba Univ.)
Assistant Kan Okubo(Tokyo Metropolitan Univ.)

Paper Information
Registration To Technical Committee on Ultrasonics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of seismic data obtained with fiber optic distributed acoustic sensor
Sub Title (in English)
Keyword(1) Fiber Sensing
Keyword(2) Distributed Acoustic Sensing
Keyword(3) Seismic Observation
1st Author's Name Takahiro Arioka
1st Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
2nd Author's Name Kentaro Nakamura
2nd Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
Date 2022-08-22
Paper # US2022-34
Volume (vol) vol.122
Number (no) US-154
Page pp.pp.29-33(US),
#Pages 5
Date of Issue 2022-08-15 (US)