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http://dx.doi.org/10.14578/jkfs.2014.103.2.233

Prediction and Evaluation of Landslide Hazard Based on Regional Forest Environment  

Ma, Ho-Seop (Department of Forest Environmental Resources, Gyeongsang National University (Institute of Agriculture Life Science))
Kang, Won-Seok (Department of Forest Environmental Resources, Gyeongsang National University (Institute of Agriculture Life Science))
Lee, Sung-Jae (University Forest, Seoul National University)
Publication Information
Journal of Korean Society of Forest Science / v.103, no.2, 2014 , pp. 233-239 More about this Journal
Abstract
This study was carried out to propose the criteria for the prediction of landslide occurrence through analysis the influence of each factor by using the quantification theory. The results obtained from this study are summarized as follows. From a stepwise regression analysis between the landslide area($m^2$) and environmental factors, the factors strongly affecting the landslide sediment($m^2$) were the Parents rock (igneous), cross slope(complex), coniferous forests (forest type) and slope gradient ($21{\sim}30^{\circ}$). According to the range, it was shown in order of Cross slope (0.2922), Parents rock (0.2691), Forest type (0.2631) and Slope gradient (0.2312). The range of prediction score of landslide occurrence has been distributed between score 0 and score 1.0556, the median value was score 0.5278. The prediction for class I was over 0.7818, for class II was 0.5279 to 0.7917, for class III 0.2694 to 0.5278 and for class IV was below 0.2693. The prediction on landslide occurrence appeared relatively high accuracy rate as 72% for class I and II. Therefore, this score table for landslide will be very useful for judgement of dangerous slope.
Keywords
landslide; prediction score; evaluation;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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