A SLOPE FAILURE TYPE CLASSIFICATION ALGORITHM FOR MULTIPLE SIMULTANEOUS SLOPE FAILURE HAZARD ASSESSMENT
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- UCHIDA Ikko
- 東京理科大学大学院 理工学研究科 土木工学専攻
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- KOJIMA Hirohito
- 東京理科大学 理工学部 土木工学科
Bibliographic Information
- Other Title
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- 同時多発型・異種斜面崩壊危険箇所評価支援を目的とした斜面崩壊形態分類アルゴリズムの一提案
Abstract
<p> Pointing out the necessity of evaluating hazardous areas affected by different types of multiple simultaneous slope failures, this paper proposes a slope failure type classification algorithm based on multigroup discriminant analysis of the Hayashi’s quantification method type II. Three kinds of training data sets of “surface slope failure, deep-seated slope failure and landslide in Nagaoka area” induced by the Niigata Chuetsu earthquake are prepared. Quantitative model constructs the relationship between those training data sets of endogenous variables and causal factors of exogeneous variables (i.e. Soil, Surface geology, Topography, Vegetation index, Slope, Aspect, Drainage, Elevation, and Relief). The scatter diagram based on multigroup quantification method type II indicates that the training samples can be grouped into three classes corresponding to above slope failure types. As a final outcome, a slope failure type classification map (termed FTC map) with overall accuracy of 84% and kappa coefficient of 0.76 can be produced through cluster analysis of nearest neighbor method. The FTC map is superior to previous susceptibility map for specified type of slope failure in evaluating hazardous areas affected by different types of multiple simultaneous slope failures.</p>
Journal
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 76 (1), 42-52, 2020
Japan Society of Civil Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390003825190238080
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- NII Article ID
- 130007858231
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- ISSN
- 21856591
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed