한국지반공학회:학술대회논문집 (Proceedings of the Korean Geotechical Society Conference)
- 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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- Pages.1365-1371
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- 2008
의사결정나무모형을 이용한 급경사지재해 예측기법
Prediction method of slope hazards using a decision tree model
- Song, Young-Suk (Landslide Hazards Research Team, Korea Inst. of Geosci. & Mineral Res.) ;
- Chae, Byung-Gon (Landslide Hazards Research Team, Korea Inst. of Geosci. & Mineral Res.) ;
- Cho, Yong-Chan (Landslide Hazards Research Team, Korea Inst. of Geosci. & Mineral Res.)
- 발행 : 2008.03.28
초록
Based on the data obtained from field investigation and soil testing to slope hazards occurrence section and non-occurrence section in gneiss area, a prediction technique was developed by the use of a decision tree model. The slope hazards data of Seoul and Kyonggi Province were 104 sections in gneiss area. The number of data applied in developing prediction model was 61 sections except a vacant value. The statistical analyses using the decision tree model were applied to the entrophy index. As the results of analyses, a slope angle, a degree of saturation and an elevation were selected as the classification standard. The prediction model of decision tree using entrophy index is most likely accurate. The classification standard of the selected prediction model is composed of the slope angle, the degree of saturation and the elevation from the first choice stage. The classification standard values of the slope angle, the degree of saturation and elevation are