NDLI: Landslide prediction based on wavelet analysis and cusp catastrophe

Content Provider	Springer Nature Link
Author	Li, Changdong Tang, Huiming Hu, Xinli Li, Dongming Hu, Bin
Copyright Year	2009
Abstract	During the monitoring engineering of landslides, the monitoring data of accumulated displacement are usually affected by the external factors. Therefore, the displacement curve always has step-like character, which brings some difficulties to the accurate prediction of landslides. In order to solve this problem, based on the wavelet analysis and cusp catastrophe, a new kind of analysis method is proposed in this article. First, Fourier transform method can be used to extract the frequency component of the curve of monitoring displacement. Second, the wavelet transform was adopted to inspect the breakpoints of signals, which can be used to analyze the cause of the occurrence of the step-like character in the curve of landslide monitoring. Based on the cusp catastrophe theory, a nonlinear dynamic model was established to conduct the simulation calculation of time forecasting of landslides. According to a case study of landslide, the periodical rainfall and reservoir level fluctuation are the main factors leading to the step-like changes in the curve of monitoring displacement. In addition, the results of simulation calculation are in agreement with the fact of local failure of landslides. This method can provide a new analysis way for the time prediction of landslides.
Starting Page	971
Ending Page	977
Page Count	7
File Format	PDF
ISSN	1674487X
Journal	Journal of Earth Science
Volume Number	20
Issue Number	6
e-ISSN	1867111X
Language	English
Publisher	China University of Geosciences (Wuhan)
Publisher Date	2009-12-30
Publisher Place	China University of Geosciences (Wuhan)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	landslide prediction step-like curve wavelet analysis cusp catastrophe Geology Geochemistry Computer Applications in Earth Sciences Biogeosciences Applied Earth Sciences Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences

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