Reliability Analysis of Loess Landslide Considering the Change of Groundwater Level. Issue 1 (February 2020)

• Record Type: Journal Article
• Authors: Liang, Yan; He, Guanghong; Huo, Aidi
• Is Part Of: IOP conference series. Volume 455:Issue 1(2020)
• Publication Date: 2020-02
• Subjects: loess landslide -- reliability analysis -- Monte-Carlo method -- coefficient of variation -- groundwater level -- paleosol; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/455/1/012075
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: The reliability analysis of landslide is very important for the early warning and prevention of landslide. In this paper, Monte-Carlo method is used to analyze groundwater level, the variation coefficient of c and ϕ, and paleosol layer impact on the reliability of landslide in Jingyang South tableland. The reliability analysis results are as follows: (1) With the increase of groundwater level, the probability of landslide failure increases and the safety factor decreases. When the depth of groundwater level is 61m, the failure probability is 2.46%, and the average safety factor is 1.166; when the groundwater depth is 31.6 m, the average safety factor is 0.791, and the failure probability is 98.94%. (2) The coefficient of variation "δ" is positively related to the failure probability of landslide, and negatively related to the reliability index. When δ < 0.05, the increasing trend of failure probability and the decreasing trend of reliability index are most significant. (3) Paleosol layer has certain influence on Reliability. When the groundwater depth is less than 35.3 m, the average safety factor with paleosol layer is less than that without paleosol, but the failure probability is higher. When the groundwater depth is more than 35.3 m, it shows the opposite relationship.