• DocumentCode
    527461
  • Title

    Frequency forecast and trend of time record of area landslide based on R/S analysis

  • Author

    Fan, Xiaoyi ; Qiao, Jianping

  • Author_Institution
    Sch. of Civil Eng. & Archit., Southwest Univ. of Sci. & Technol., Mianyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    999
  • Lastpage
    1002
  • Abstract
    The R/S analysis is known as Rescale Range Analysis. The method is used to study the various laws of statistic by changing the time range and analyze the law similarity between integrate and parts. This paper analyzed and forecast the future landslides frequency and trend by R/S method, based on the past landslide data. Moreover, the analysis and forecast could dynamically evaluate the area landslide danger degree. According to the landslide data of Wanzhou in the Three Gorges Reservoir, the time records and Hurst index of the different landslide sizes were studied in the different time extensions. According to the Hurst indexes, this method forecasted the maximum fluctuate extension of landslide number in the 5 years. The relationship between time correlation function and Hurst indexes was acquired by Fractional Brownian Motion. The relationship could forecast quantifiably for the development trend of area landslides. The results showed that the frequency forecast of area landslides could dynamically evaluate the area landslide danger degree.
  • Keywords
    forecasting theory; geomorphology; geophysical catastrophes; geotechnical engineering; risk analysis; statistical analysis; Hurst index; RS analysis; Three Gorges reservoir; Wanzhou; area landslide danger degree; fractional Brownian motion; frequency forecasting; rescale range analysis; time record; Fluctuations; Geology; Hazards; Indexes; Reservoirs; Terrain factors; Time frequency analysis; R/S analysis; frequency and trend forecast; landslide; time record;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5582903
  • Filename
    5582903