›› 2007, Vol. 28 ›› Issue (8): 1725-1728.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Forecasting of landslide displacement based on exponential smoothing and nonlinear regression analysis

YIN Guang-zhi1, ZHANG Wei-zhong1,2, ZHANG Dong-ming1, KANG Qin-rong1   

  1. 1. College of Resources and Environmental Science, Chongqing University, Chongqing 400044, China; 2.School of Safety Science and Administration，Zhongnan University of Economics and Law (ZUEL)，Wuhan 430074, China
  • Received:2005-08-19 Online:2007-08-10 Published:2013-10-15

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Abstract: The landslide forecasting study is one of the hot problems in landslide research. Based on the actual observation data, the exponential smoothing and nonlinear regression analysis are integrated. According to the criterions of displacement and displacement velocity, the dynamic track prediction about the slippage time of landslide is introduced. In light of the pratical landslide conditions, a model was established for the special displacement of some observation points; and the prediction based on this model was obtained with high accuracy. Therefore, the method can be used in practical engineering.

Key words: exponential smoothing, nonlinear regression analysis, prediction of landslide

CLC Number: 

  • TU 459
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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