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Frontiers of Structural and Civil Engineering

Front. Struct. Civ. Eng.    2020, Vol. 14 Issue (1) : 123-126
Factor analysis for the statistical modeling of earthquake-induced landslides
Jeng-Wen LIN1(), Meng-Hsun HSIEH2, Yu-Jen LI3
1. Department of Civil Engineering, Feng Chia University, Taichung 40724, China
2. School of Management, Fujian University of Technology, Fuzhou 350118, China
3. Ruentex Engineering & Construction Co., Ltd., Taipei 10492, China
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Earthquake-induced landslides are difficult to assess and predict owing to the inherent unpredictability of earthquakes. In most existing studies, the landslide potential is statistically assessed by collecting and analyzing the data of historical landslide events and earthquake observation records. Unlike rainfall-induced landslides, earthquake-induced landslides cannot be predicted in advance using real-time monitoring systems, and the development of the models for these landslides should instead depend on early earthquake warnings and estimations. Hence, in this study, factor analysis was performed and the frequency distribution method was employed to investigate the potential risk of the landslides caused by earthquakes. Factors such as the slope gradient, lithology (geology), aspect, and elevation were selected and classified as influential factors to facilitate the construction of a landslide database for the area of study.

Keywords earthquake      factor analysis      slope landslides      statistical modeling     
Corresponding Authors: Jeng-Wen LIN   
Just Accepted Date: 20 September 2019   Online First Date: 19 November 2019    Issue Date: 21 February 2020
 Cite this article:   
Jeng-Wen LIN,Meng-Hsun HSIEH,Yu-Jen LI. Factor analysis for the statistical modeling of earthquake-induced landslides[J]. Front. Struct. Civ. Eng., 2020, 14(1): 123-126.
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Articles by authors
Jeng-Wen LIN
Meng-Hsun HSIEH
Yu-Jen LI
authors year potential factors
gradient lithology aspect vegetation elevation peak ground acceleration distance to rivers distance to faults slope height distance to epicenter distance to roads distance to tectonic lines
Barredo et al. [19] 2000
Liao [16] 2000
Dai et al. [20] 2001
Lee et al. [21] 2002
Lin [22] 2003
Ercanoglu et al. [23] 2004
Suzen and Doyuran [24] 2004
Gomez and Kavzoglu [25] 2005
Wen [18] 2005
Feng [26] 2007
Chen [27] 2008
Chen [28] 2009
Lee [29] 2010
Liu [30] 2014
frequency of selection 72 66 52 32 39 13 28 23 5 4 7 2
Tab.1  Factors  extracted from the landslide-related articles from 1985 to 2014
item value
Bartlett’s test of sphericity approximate chi-square value 119
significance 0
Tab.2  KMO  and Bartlett’s tests for the factors that affect the potential of slope landslides
Fig.1  Scree  plot for the 12 factors that affect the potential of slope landslides.
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