Forecasting of Landslide Displacement Based on Exponential Smoothing and Nonlinear Regression Analysis

Wei Zhong Zhang; Yao Ji Li; Xiao Shuang Li; Qin Rong Kang

doi:10.4028/www.scientific.net/AMM.353-356.1101

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 353-356Forecasting of Landslide Displacement Based on...

Forecasting of Landslide Displacement Based on Exponential Smoothing and Nonlinear Regression Analysis

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 criteria of displacement and displacement velocity, the dynamic track prediction about the slippage time of landslide is introduced. In light of the practical landslide conditions, a model was established for the special displacement of some monitoring points£¬ and the prediction based on this model was obtained with high accuracy. Therefore, the method can be used in practical engineering.

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Periodical:

Applied Mechanics and Materials (Volumes 353-356)

Pages:

1101-1105

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.353-356.1101

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Online since:

August 2013

Authors:

Wei Zhong Zhang, Yao Ji Li, Xiao Shuang Li, Qin Rong Kang

Keywords:

Exponential Smoothing, Nonlinear Regression Analysis, Prediction of Landslide

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