Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 "6.24" Xinmo landslide
文献类型：期刊论文
| 作者 | Yan, Yan1,3; Cui, Yifei2; Guo, Jian4,6; Hu, Sheng5; Wang, Ziang1; Yin, Shuyao1 |
| 刊名 | ENGINEERING GEOLOGY
 |
| 出版日期 | 2020-06-05 |
| 卷号 | 270页码:15 |
| 关键词 | Seismic signal Xinmo landslide Landslide process reconstruction Discrete element method Transition stage |
| ISSN号 | 0013-7952 |
| DOI | 10.1016/j.enggeo.2020.105582 |
| 通讯作者 | Cui, Yifei(yifeicui@mail.tsinghua.edu.cn) |
| 英文摘要 | Landslide modeling based on seismic signal characteristics is an effective method to study landslide evolution. The scientific challenge lies in how to systematically characterize and reconstruct the entire landslide evolution process using the recorded seismic data. We selected the 2017 "6.24" Xinmo landslide as a case study. Empirical mode decomposition (EMD) is used to analyze the seismic signals from 14 seismic stations near the landslide area. Numerical simulations using two-dimensional discrete element methods (DEM) are performed to simulate landslide dynamics using the calculated kinetic energy profile. After analyzing the short-time Fourier transform (STFT) and fast Fourier transform (FFT) characteristics of the signal, the landslide process is reconstructed and compared with the DEM simulation. The landslide process is observed to consist of a stationary stage, slipping stage, transition stage, entrainment-transportation stage, and a deposition stage. This is the first study that uses seismic signals to identify a transition stage, which is a feature that is difficult to constrain from field survey and analysis alone. Landslide development and movement in the transition stage are discussed considering the sedimentology of the study area. This study provides improved theoretical guidance for the reconstruction and characterization of landslide processes by seismic signals. |
| WOS关键词 | DYNAMICS ; SICHUAN ; DEFORMATION ; KINEMATICS ; MECHANICS ; SPECTRUM ; MODEL |
| 资助项目 | National Key R&D Program of China[2018YFC1505201] ; National Natural Science Foundation of China[41901008] ; Open Fund Project of Key Laboratory of Mountain Hazards and Surface Processes of the Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities[2682018CX05] ; China Scholarship Council |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000530092700011 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Open Fund Project of Key Laboratory of Mountain Hazards and Surface Processes of the Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159776]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cui, Yifei |
| 作者单位 | 1.Southwest Jiaotong Univ, MOE Sch Civil Engn, Key Lab High Speed Railway Engn, Chengdu 610031, Peoples R China 2.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Changan Univ, Dept Geol Engn, Xian 710054, Peoples R China 5.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China 6.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Yan,Cui, Yifei,Guo, Jian,et al. Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 "6.24" Xinmo landslide[J]. ENGINEERING GEOLOGY,2020,270:15. |
| APA | Yan, Yan,Cui, Yifei,Guo, Jian,Hu, Sheng,Wang, Ziang,&Yin, Shuyao.(2020).Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 "6.24" Xinmo landslide.ENGINEERING GEOLOGY,270,15. |
| MLA | Yan, Yan,et al."Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 "6.24" Xinmo landslide".ENGINEERING GEOLOGY 270(2020):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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