Study on the Risk Assessment Method of Rainfall Landslide

被引:8
作者
Sui, Haoyue [1 ]
Su, Tianming [1 ]
Hu, Ruilin [2 ,3 ,4 ]
Wang, Dong [5 ]
Zheng, Zhengwei [1 ]
机构
[1] Res Inst Highway Minist Transport, Key Lab Transport Ind Rd Struct & Mat, Beijing 100088, Peoples R China
[2] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
[3] Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
[4] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
[5] Petr Dev Ctr Ltd, Sinopec Shengli Oilfield, Dongying 257029, Peoples R China
关键词
rainfall landslide; risk assessment; regional; individual; vulnerability; SUSCEPTIBILITY; VULNERABILITY;
D O I
10.3390/w14223678
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Quantitative risk assessment of landslides has always been the focus and difficulty in the field of landslide research. In this paper, taking Mayang County, Hunan Province as an example, the risk assessment of rainfall-induced landslides was carried out from the regional and individual scales. On the regional scale, the risk factors of geological disasters were analyzed. Based on the slope unit, the risk analysis of slope geological disasters and the vulnerability risk assessment of hazard-bearing bodies were carried out to form the block plan. On an individual scale, based on the analysis of rainfall extreme value, the variation law of landslide seepage field and stability under different rainfall recurrence periods was simulated. Then, the vulnerability of the disaster-bearing body was studied according to the analysis of the impact range and the field investigation. Combined with the evaluation results of landslide hazard and vulnerability of the disaster-bearing body, the life and economic risks under different working conditions were further obtained. Therefore, the research results could provide not only a reference for the risk assessment of rainfall-induced landslides in other regions but also a theoretical basis for the early warning and prediction of landslide disasters.
引用
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页数:19
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