Factor Analysis of Liangshuijing Landslide Deformation

Abstract:

The evolution of landslide displacement is affected by many factors. Therefore, it has great significance to find out the factors which play the main role for the landslide dynamic evolution and inducing mechanism. This paper takes Liangshuijing Landslide as an example, combining with the displacement monitoring data, and selects the rainfall of current month, cumulative rainfall of anterior two months, monthly maximum reservoir water level and the monthly average reservoir water level as influencing factors. According to factor analysis, two main factors and rotated component matrix are extracted. And the main influencing factors for the landslide displacement of every year are found. With the comprehensive analysis of the factor loadings in the four factors, we can get the influencing degree order for Liangshuijing Landslide displacement evolution as follows: cumulative rainfall of anterior two months> rainfall of current month> the average reservoir level of current month>reservoir level fluctuation of current month.

• Periodical: Applied Mechanics and Materials (Volume 392)
• Pages: 978-983
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.392.978
• Online since: September 2013
• Authors: Yi Ping Wu, Guang Zhao Ou, Zhen Shuai Wang
• Keywords: Deformation, Factor Analysis (FA), Liangshuijing Landslide, Monitoring Data

References

[1] Ma S S, Wang Z Z and Zhang M, in: Study on Stability of Landside of Reservoir Area, volume 25 of Rock and Soil Mechanics, chapter, 11 (2004).

[2] Randall W Jibson and David K. Keefer, in: Statistical Analysis of Factors Affecting Landslide, Distribution in The New Madrid Seismic Zone, Tennessee and Kentucky, volume 27 of Engineering Geology, Elsevier Science Publishers B.V. (1989).

DOI: 10.1016/0013-7952(89)90044-6

[3] S Lee, Jasmi Abdul Talib, in: Probabilistic Landslide Susceptibility and Factor Effect Analysis, volume 47 of Environ Geol, Springer-Verlag (2005).

DOI: 10.1007/s00254-005-1228-z

[4] Guo D, Masanori Hamada, in: Qualitative and Quantitative Analysis on Landslide Influential Factors During Wenchuan Earthquake: A Case Study in Wenchuan County, volume 152 of Engineering Geology, Elsevier Science Publishers B.V. (2013).

DOI: 10.1016/j.enggeo.2012.10.012

[5] He K Q, Yang J B, Wang S J, in: Analysis of Dynamic Factors of Debris Landslide by Means of The Model of Quantitative Theory—Using the Xintan Landslide, China, As an Example, volume 48 of Environ Geol, Springer-Verlag (2005).

DOI: 10.1007/s00254-005-0002-6

[6] Zhao P D, Hu W L, Li Z J: Statistical Prediction of Mineral Deposit (Geology Press, China 1983).

[7] Xiang D J, Li H W: Applied Multivariate Statistical Analysis (China University of Geosciences Press, China 2005).

[8] Zhang T T, Yan E C, in: Landslide Deformation Analysis Based on Factor Analysis, volume 29 of Journal of Yangtze River Scientific Research Institute, (2012).

[9] Sun X R, Ma F H, Zhang S, in: Model of Dam Deformation Safety Monitoring Based on Factor Analysis, volume 30 of Water Resources and Power, chapter, 10, (2012).

[10] Miao H B, Yin K L, Xu F, in: Comprehensive Evaluation on Multiple Predictions of the Landslide Displacements Based on Component Analysis, volume 32 of Journal of Wuhan University of Technology, chapter, 19, (2010).

[11] Bi Q L, Liu X, Xu B, in: Application of Factor Analysis to Analysis of Seepage Bypass Dam, volume 28 of Water Resources and Power, chapter, 5, (2010).