• DocumentCode
    1715636
  • Title

    Application of fuzzy logic in seismic zonation

  • Author

    Guo, Wanwu ; Li, Dongguang ; Watson, Anthony

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Mount Lawley, WA, Australia
  • Volume
    2
  • fYear
    2001
  • Firstpage
    829
  • Abstract
    In this paper we propose a fuzzy logic system that uses crustal structural features (seismotectonics) and historic seismic activities (seismicity) as two fuzzy inputs for seismic zonation. Seismotectonics is a combination of features from the regional and deep geology, neotectonics, stress field and geophysics whereas seismicity is defined by historic earthquakes and their damages to some specific areas. Applying this fuzzy system to the northeastern Tibetan Plateau, a well-known intraplate seismic region in the world, outlines are not only the existing well-recognised seismic zones where large earthquakes took place in history, but also some areas where there have been no strong shocks occurred for the last 2000 years. The traditional statistical methods are not able to evaluate such areas due to the lack of the historic seismicity information.
  • Keywords
    earthquakes; fuzzy logic; geophysics computing; seismology; crustal structural features; earthquakes; fuzzy logic; geology; geophysics; historic seismic activities; neotectonics; northeastern Tibetan Plateau; seismic zonation; seismotectonics; stress field; Australia; Earthquakes; Electric shock; Fuzzy logic; Fuzzy systems; Geology; Geophysics computing; Information analysis; Statistical analysis; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1009084
  • Filename
    1009084