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

2013 ◽  
Vol 353-356 ◽  
pp. 1101-1105
Author(s):  
Wei Zhong Zhang ◽  
Yao Ji Li ◽  
Xiao Shuang Li ◽  
Qin Rong Kang

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.

2013 ◽  
Vol 846-847 ◽  
pp. 1080-1083
Author(s):  
Qing Lan Qi ◽  
Shao Xiong Zhang

Aiming at the calculating the flow of cutthroat flume in Hydraulic Engineering, the test data is processed through the nonlinear regression analysis program which is based on the principle of least square method. With 33 equations of various functions including linear, power function curve and exponential curve to be selected as the mathematical model, the regression analysis is taken through 33 equations. Comparing the regression coefficient from analysis, the optimal mathematical model is selected as the empirical formula, which has great significance in guiding the practical engineering.


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