Forecasting of landslide displacement based on exponential smoothing and nonlinear regression analysis
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Forecasting of landslide displacement based on exponential smoothing and nonlinear regression analysis
Vol. 28, Issue 8, (2007)
作者机构:
1. 重庆大学 资源及环境科学学院,重庆,400044
2. 中南财经政法大学 安全科学与管理学院,武汉,430074
作者简介:
基金信息:
DOI:
CLC:TU459
Online First:15 October 2013,
Published:2007
稿件说明:
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YIN Guang-zhi, ZHANG Wei-zhong, ZHANG Dong-ming, et al. Forecasting of landslide displacement based on exponential smoothing and nonlinear regression analysis[J]. 2007, 28(8).
DOI:
YIN Guang-zhi, ZHANG Wei-zhong, ZHANG Dong-ming, et al. Forecasting of landslide displacement based on exponential smoothing and nonlinear regression analysis[J]. 2007, 28(8).DOI:
Forecasting of landslide displacement based on exponential smoothing and nonlinear regression analysis
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