Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 "6.24" Xinmo landslide

doi:10.1016/j.enggeo.2020.105582

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 山地表生过程与生态调控重点实验室

	Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 "6.24" Xinmo landslide
	Yan Yan 1,3; Cui Yifei 2; Guo Jian 5,6; Hu Sheng 4; Wang Ziang 3; Yin Shuyao 3
刊名	ENGINEERING GEOLOGY
	2020
卷号	270 页码:105582
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
产权排序	6
文献子类	Article
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.
电子版国际标准刊号	1872-6917
语种	英语
WOS记录号	WOS:000530092700011
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/34624]
专题	成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
通讯作者	Cui Yifei
作者单位	1.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2.State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China; 3.Key Laboratory of High-Speed Railway Engineering, MOE/School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China; 4.College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China; 5.Department of Geological Engineering, Chang’an University, Xi’an 710054, China; 6.Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, 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,2020,270:105582.
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,270,105582.
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):105582.