Rainfall-induced landslides are mainly triggered by the change of soil moisture (soil water content) that affects the stability of surface soils. Recently, various monitoring methods have been applied to measure the change in soil water content in the field. However, there is a lack of direct correlation between the soil water content and the susceptibility of landslides. This study presents a framework to assess landslide susceptibility based on field soil water content monitoring data. The relationship between the soil water content and the landslide risk is estimated by using soil water characteristic curve that describes the correlation between the soil water content to the soil matric suction. The method was tested in a study area that widely monitored via wireless sensor network during rainy season. Based on comparison of landslides susceptibility assessment results for two conditions - the wetting process condition (in-field) and the drying process condition (in-laboratory), the safety factor of landslides was lower for wetting conditions than in the drying condition. As a result, applying the wetting condition, which represents the field condition, during the conversion from soil water content to matric suction solves the problem of underestimating landslide susceptibility when applying the drying condition, which represents the laboratory condition.
저자
Moon-Hyun Hong [ CCZ Forestland Office, Korea Forest Conservation Association, 40, Munjeong- ro, Daejeon, 35262, South Korea ]
Corresponding Author
Kyu-Jin Yeom [ CCZ Forestland Office, Korea Forest Conservation Association, 40, Munjeong- ro, Daejeon, 35262, South Korea ]
Jae-Chul Ryu [ CCZ Forestland Office, Korea Forest Conservation Association, 40, Munjeong- ro, Daejeon, 35262, South Korea ]
Ji-Eun Kim [ CCZ Forestland Office, Korea Forest Conservation Association, 40, Munjeong- ro, Daejeon, 35262, South Korea ]
Jeong-Han Kim [ CCZ Forestland Office, Korea Forest Conservation Association, 40, Munjeong- ro, Daejeon, 35262, South Korea ]
