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
Link To Document :
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