Frontiers of Structural and Civil Engineering
>> 2020,
Volume 14,
Issue 1
doi:
10.1007/s11709-019-0582-y
RESEARCH ARTICLE
Factor analysis for the statistical modeling of earthquake-induced landslides
. Department of Civil Engineering, Feng Chia University, Taichung 40724, China.. School of Management, Fujian University of Technology, Fuzhou 350118, China.. Ruentex Engineering & Construction Co., Ltd., Taipei 10492, China
Accepted: 2019-11-19
Available online: 2019-11-19
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Abstract
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.
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