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Suggestion of an Evaluation Chart for Landslide Susceptibility using a Quantification Analysis based on Canonical Correlation  

Chae, Byung-Gon (Geologic Environment Research Division, Korea Institute of Geoscience and Mineral Resources)
Seo, Yong-Seok (Depart. of Earth and Environmental Sciences, Chung Buk National University)
Publication Information
Economic and Environmental Geology / v.43, no.4, 2010 , pp. 381-391 More about this Journal
Abstract
Probabilistic prediction methods of landslides which have been developed in recent can be reliable with premise of detailed survey and analysis based on deep and special knowledge. However, landslide susceptibility should also be analyzed with some reliable and simple methods by various people such as government officials and engineering geologists who do not have deep statistical knowledge at the moment of hazards. Therefore, this study suggests an evaluation chart of landslide susceptibility with high reliability drawn by accurate statistical approaches, which the chart can be understood easily and utilized for both specialists and non-specialists. The evaluation chart was developed by a quantification method based on canonical correlation analysis using the data of geology, topography, and soil property of landslides in Korea. This study analyzed field data and laboratory test results and determined influential factors and rating values of each factor. The quantification analysis result shows that slope angle has the highest significance among the factors and elevation, permeability coefficient, porosity, lithology, and dry density are important in descending order. Based on the score assigned to each evaluation factor, an evaluation chart of landslide susceptibility was developed with rating values in each class of a factor. It is possible for an analyst to identify susceptibility degree of a landslide by checking each property of an evaluation factor and calculating sum of the rating values. This result can also be used to draw landslide susceptibility maps based on GIS techniques.
Keywords
landslide prediction; canonical correlation analysis; quantification analysis; influential factor; evaluation chart of landslide susceptibility;
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Times Cited By KSCI : 2  (Citation Analysis)
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