Regression Equations for Estimating Landslide-Triggering Factors Using Soil Characteristics

• Main Authors: Kyeong-Su Kim, Man-Il Kim, Moon-Se Lee, Eui-Soon Hwang
• Format: Article
• Language: English
• Published: MDPI AG 2020-05-01
• Series: Applied Sciences
• Subjects: landslide-triggering factors; weathered soil; permeability coefficient; shear strength; regression equation
• Online Access: https://www.mdpi.com/2076-3417/10/10/3560

Landslides, which often occur on natural slopes of mountainous areas and artificial slopes around urban areas during summer in South Korea, are mostly caused by localized heavy rainfalls and typhoons. A survey was conducted, and the characteristics of landslide occurrences in different geological conditions—in this case, granite soils in Sangju area and gneiss soils in Yangu area—were analyzed. Soil characteristics in the landslide and non-landslide areas and the surroundings of each geological condition were also evaluated. Triggering factors, namely permeability coefficients (<i>k</i>), shear strength with cohesion (<i>c</i>), and internal friction angle (<i>φ</i>) of soils that are closely linked to landslides around weathered soil layers were extracted based on the examined characteristics and a statistics method. The study used regression analysis to formulate equations to estimate the permeability coefficients and shear strength. Ultimately, the permeability coefficients showed significant results in terms of void ratio (<i>e</i>), the effective size of grains (D₁₀), and uniformity coefficient (<i>c_u</i>), while shear strength correlated with the proportion of fine-grained soil (<i>Fines</i>), uniformity coefficient (<i>c_u</i>), degree of saturation (<i>S</i>), dry weight density (<i>r_d</i>), and void ratio (<i>e</i>).