中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Seismic signal recognition and interpretation of the 2019 "7.23" Shuicheng landslide by seismogram stations

文献类型:期刊论文

作者Yan, Yan1,2; Cui, Yifei3; Tian, Xin4; Hu, Sheng5; Guo, Jian6; Wang, Ziang1; Yin, Shuyao1; Liao, Liufeng7
刊名LANDSLIDES
出版日期2020-02-07
页码16
关键词Seismic network Shuicheng landslide Signal extraction and recognition Signal interpretation Landslide process reconstruction
ISSN号1612-510X
DOI10.1007/s10346-020-01358-x
通讯作者Cui, Yifei(yifeicui@mail.tsinghua.edu.cn)
英文摘要A systematic study of the physical and mechanical processes of landslide development and evolution is important for forecasting, early warning, and prevention of landslide hazards. In the absence of on-site monitoring data, seismic networks can be employed to continuously record ground seismicity generated during landslides. However, landslide seismic signals are relatively weak and inevitably affected by noise interference. Furthermore, systematic characterization and reconstruction of the landslide evolution process remain poorly reported. An evaluation method to recognize landslide events based on seismic signal characteristics is therefore important. This study analyzes the 2019 "7.23" Shuicheng landslide based on data from nearby seismic stations. A landslide seismic signal recognition method is developed based on short-time Fourier transform (STFT) and band-pass filter (BP-filter) analysis. Data from 14 stations near the landslide were reviewed and the landslide data from one station was selected for analysis. The landslide seismic signal was noise-attenuated by using the empirical mode decomposition (EMD) and BP-filter methods. Fast Fourier transform (FFT), STFT, and power spectral density analyses were applied to the landslide seismic signal with higher signal-to-noise ratio (SNR) to obtain the time-frequency signal characteristics of the landslide process. Finally, combined with landslide field survey data, the dynamic process of the landslide was reconstructed based on the seismic signal, and the landslide was divided into four stages: the fracture-transition stage, the accelerated initiation stage, the bifurcation-scraping stage, and the deposition stage. The dynamic characteristics of each stage of the landslide are presented. The results indicate that the initial fracture point of the landslide is located between the bottom of the sliding source area and the top of the acceleration zone, not as traditionally thought, at the top of the sliding source area; this would be difficult to determine through field survey and analysis only. These results provide theoretical guidance for the study of seismic signal extraction, identification of landslide dynamic parameters, and characterization and reconstruction of landslide processes.
WOS关键词DEBRIS FLOWS ; AUTOMATIC DETECTION ; XINMO LANDSLIDE ; SCALE ; DYNAMICS ; INFRASOUND ; ROCKSLIDES ; FAILURES ; COUNTY
资助项目International Science & Technology Cooperation Program of China[2018YFE0100100] ; NationalNatural Science Foundation of China[41901008] ; National Key R&D Program of China[2018YFC1505201] ; Open Fund Project of the 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:000516002000002
出版者SPRINGER HEIDELBERG
资助机构International Science & Technology Cooperation Program of China ; NationalNatural Science Foundation of China ; National Key R&D Program of China ; Open Fund Project of the 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/311030/132725]  
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
4.China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China
5.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China
6.Changan Univ, Dept Geol Engn, Xian 710054, Peoples R China
7.Ecol Meteorol & Satellite Remote Sensing Ctr Guiz, Guiyang 550002, Peoples R China
推荐引用方式
GB/T 7714
Yan, Yan,Cui, Yifei,Tian, Xin,et al. Seismic signal recognition and interpretation of the 2019 "7.23" Shuicheng landslide by seismogram stations[J]. LANDSLIDES,2020:16.
APA Yan, Yan.,Cui, Yifei.,Tian, Xin.,Hu, Sheng.,Guo, Jian.,...&Liao, Liufeng.(2020).Seismic signal recognition and interpretation of the 2019 "7.23" Shuicheng landslide by seismogram stations.LANDSLIDES,16.
MLA Yan, Yan,et al."Seismic signal recognition and interpretation of the 2019 "7.23" Shuicheng landslide by seismogram stations".LANDSLIDES (2020):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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