Rapid prediction of landslide dam stability using the logistic regression method

被引:44
作者
Shan, Yibo [1 ,2 ]
Chen, Shengshui [1 ,3 ]
Zhong, Qiming [1 ,3 ]
机构
[1] Nanjing Hydraul Res Inst, Dept Geotech Engn, Nanjing 210024, Peoples R China
[2] Hohai Univ, Coll Civil & Transportat Engn, Nanjing 210098, Peoples R China
[3] Minist Water Resources, Key Lab Failure Mech & Safety Control Tech Earth, Nanjing 210029, Peoples R China
基金
中国国家自然科学基金;
关键词
Landslide dam; Rapid prediction method; Stability; Database; Particle composition; Verification; Comparison; DEBRIS FLOW; HSIAOLIN VILLAGE; RIVER LANDSLIDE; FAILURE; SIMULATION; EROSION; CREEK; TAIWAN;
D O I
10.1007/s10346-020-01414-6
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The accurate and rapid prediction of landslide dam stability is of great significance for emergency response planning. However, current rapid prediction methods for the landslide dam cannot quantitatively consider the influence of landslide debris grain size distribution. A database was established based on 1434 documented historical landslide dams, including formed-unstable and formed-stable cases from around the world. The logistic regression method was utilized to develop new methods for the rapid prediction of landslide dam stability, which can consider the morphological characteristics and particle composition of the landslide dams as well as the hydrodynamic conditions of the upstream dammed lake. According to the available information on landslide debris particle composition, the newly proposed rapid prediction methods were classified as either detailed or simplified based on 27 and 150 cases, respectively. Based on the database, several typical methods for the rapid prediction of landslide dam stability were chosen to compare with the newly proposed methods. The performances of each method testify to the rationality of the new methods.
引用
收藏
页码:2931 / 2956
页数:26
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