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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Acknowledgements
The work described in this paper was a part of the research sponsored by the Ministry of Science and Technology, Taiwan, China (Contract No. MOST 105-2221-E-035-074) and Soil and Water Conservation Bureau, Taiwan, China (Contract No. SWCB-106-055).
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Lin, JW., Hsieh, MH. & Li, YJ. Factor analysis for the statistical modeling of earthquake-induced landslides. Front. Struct. Civ. Eng. 14, 123–126 (2020). https://doi.org/10.1007/s11709-019-0582-y
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DOI: https://doi.org/10.1007/s11709-019-0582-y