• DocumentCode
    1924028
  • Title

    Neural network based tomographic approach to detecting the ionospheric anomalies prior to the 2007 Southern Sumatra earthquake

  • Author

    Hirooka, Shinji ; Hattori, Katsumi ; Nishihashi, Masahide ; Takeda, Tatsuoki

  • Author_Institution
    Grad. Sch. of Sci., Chiba Univ., Chiba, Japan
  • fYear
    2011
  • fDate
    13-20 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, neural network based ionospheric tomography was performed to investigate the detailed structure that may be associated with earthquakes. The 2007 Southern Sumatra earthquake (M8.5) is selected because significant decreases in the Total Electron Content (TEC) have been confirmed by GPS data analysis. With respect to the analyzed earthquake, we detected significant decreases at heights of 250-400 km, especially at 300 km. The global tendency is that the decreased region expands to the east with increasing altitude and concentrated in the Southern hemisphere over the epicenter. Furthermore, obtained results are consistent with other satellite observation.
  • Keywords
    earthquakes; ionospheric disturbances; ionospheric techniques; neural nets; AD 2007; GPS data analysis; ionospheric anomalies; ionospheric tomography; neural network; southern Sumatra earthquake; southern hemisphere; total electron content; Earthquakes; Educational institutions; Global Positioning System; IEC; Satellites; Spatial resolution; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium, 2011 XXXth URSI
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-5117-3
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2011.6051042
  • Filename
    6051042