• DocumentCode
    131781
  • Title

    Using the Marginal Spectrum Method to Extract Spherical Free Oscillation of Strong Earthquakes

  • Author

    Li Jiye ; Wu Xiaojun ; Wang Qiang ; Hu Binsheng ; Ren Jianhui ; Zhang Yanji ; Sun Pengyu ; Sun Qiang ; Wu Haibo

  • Author_Institution
    Harbin Tech. Center of Earthquake Prevention & Disaster Reduction, Harbin, China
  • fYear
    2014
  • fDate
    10-11 Jan. 2014
  • Firstpage
    803
  • Lastpage
    806
  • Abstract
    The research on earth free oscillation has become one of important methods to detect the internal structure of earth. This paper uses the marginal spectrum method based on Hilbert Huang transform for the first time, and the Tonghe station´s borehole strain data without removing solid tide, then we extracted spherical free oscillation mode that are motivated by Wenchuan M8.0 earthquake, Chile M8.8 earthquake and the east coast of Honshu of Japan M9.0 earthquake, the results are very close to the PREM mode. Among which, the Wenchuan earthquake is tested 24 spherical fundamental frequency modes, the Chile and Japan earthquakes are both 76, which consist of 0S0 and 0S2~0S76. The marginal spectrum method can effectively extract the earth free oscillation because of these strong earthquakes´ mode have spectrum divided phenomenon.
  • Keywords
    Earth core; Earth mantle; Hilbert transforms; earthquakes; tides; Chile earthquake; Hilbert Huang transform; Honshu east coast; Japan; PREM mode; Tonghe station borehole strain data; Wenchuan earthquake; earth free oscillation; internal earth structure; marginal spectrum method; solid tide; spherical free oscillation; strong earthquakes; Data mining; Earth; Earthquakes; Oscillators; Time-frequency analysis; Transforms; Vibrations; Hilbert Huang transform; free oscillation; the marginal spectrum; the strong earthquakes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-3434-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2014.198
  • Filename
    6802815