DocumentCode :
1998696
Title :
Landslide prediction in Fushun west open pit mine area with quadratic curve exponential smoothing method
Author :
Wang, Rixu ; Nie, Lei
Author_Institution :
Constr. Eng. Coll., Jilin Univ., Changchun, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
6
Abstract :
As a special kind of geological engineering regions, open pit mine area has more regional environmental problems. Now, landslide in Fushun west open pit mine area has become a major hidden danger threat to life and property of people in the mining area. This paper focuses on the topic of mid short term prediction of landslide in Fushun west open pit mine area, it gives an overview of the use of quadratic curve exponential smoothing method. Based on the landslide monitoring and prediction work in open pit mine area, combined with nonlinear regression analysis, the quadratic curve exponential smoothing method which is more appropriate for the results of time series makes the future displacement value of landslide prediction smoothly and accurately with the computer software. Furthermore, landslide trends with mining activities can be determined. This combination will make the prediction modules more intuitive, processing of data more systematic and credible. From the curve fitting result of monitoring points, it can be concluded that the landslides in Fushun west open pit mine area were in the uniform deformation stage. However, attention must be paid to the displacement abnormality along the continuous mining activity.
Keywords :
disasters; geomorphology; geophysical techniques; China; Fushun west open pit mine area; data processing; geological disasters; geological engineering regions; landslide prediction; nonlinear regression analysis; quadratic curve exponential smoothing method; time series; Accuracy; Curve fitting; Geology; Monitoring; Smoothing methods; Terrain factors; Time series analysis; exponential smoothing; landslide; mid short term prediction; open pit mine; quadratic curve;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2010 18th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7301-4
Type :
conf
DOI :
10.1109/GEOINFORMATICS.2010.5567832
Filename :
5567832
Link To Document :
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