4.6 Article

A method for predicting the factor of safety of an infinite slope based on the depth ratio of the wetting front induced by rainfall infiltration

期刊

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
卷 15, 期 8, 页码 1835-1849

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/nhess-15-1835-2015

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资金

  1. Public Welfare & Safety Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [2012M3A2A1050983, 2012M3A2A1050984]
  2. Korea Institute of Geoscience and Mineral Resources (KIGAM) - Ministry of Science, ICT & Future Planning
  3. National Research Foundation of Korea [2012M3A2A1050983] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Most landslides in Korea are classified as shallow landslides with an average depth of less than 2 m. These shallow landslides are associated with the advance of a wetting front in the unsaturated soil due to rainfall infiltration, which results in an increase in water content and a reduction in the matric suction in the soil. Therefore, this study presents a modified equation of infinite slope stability analysis based on the concept of the saturation depth ratio to analyze the slope stability change associated with the rainfall on a slope. A rainfall infiltration test in unsaturated soil was performed using a column to develop an understanding of the effect of the saturation depth ratio following rainfall infiltration. The results indicated that the rainfall infiltration velocity due to the increase in rainfall in the soil layer was faster when the rainfall intensity increased. In addition, the rainfall infiltration velocity tends to decrease with increases in the unit weight of soil. The proposed model was applied to assess its feasibility and to develop a regional landslide susceptibility map using a geographic information system (GIS). For that purpose, spatial databases for input parameters were constructed and landslide locations were obtained. In order to validate the proposed approach, the results of the proposed approach were compared with the landslide inventory using a ROC (receiver operating characteristics) graph. In addition, the results of the proposed approach were compared with the previous approach used: a steady-state hydrological model. Consequently, the approach proposed in this study displayed satisfactory performance in classifying landslide susceptibility and showed better performance than the steady-state approach.

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