Seismic Signal Characteristics and Numerical Modeling Analysis of the Xinmo Landslide

Longwei Yang (), Yangqing Xu (), Luqi Wang and Qiangqiang Jiang
Additional contact information
Longwei Yang: Wuhan Design & Research Institute Co., Ltd. of China Coal Technology & Engineering Group, Wuhan 430064, China
Yangqing Xu: Wuhan Design & Research Institute Co., Ltd. of China Coal Technology & Engineering Group, Wuhan 430064, China
Luqi Wang: School of Civil Engineering, Chongqing University, Chongqing 400030, China
Qiangqiang Jiang: Wuhan Design & Research Institute Co., Ltd. of China Coal Technology & Engineering Group, Wuhan 430064, China

Sustainability, 2023, vol. 15, issue 7, 1-17

Abstract: Due to the high elevation and huge potential energy of high-level landslides, they are extremely destructive and have prominent kinetic-hazard effects. Studying the kinetic-hazard effects of high-level landslides is very important for landslide risk prevention and control. In this paper, we focus on the high-level landslide that occurred in Xinmo on 24 June 2017. The research is carried out based on a field geological survey, seismic signal analysis, and the discrete element method. Through ensemble empirical mode decomposition (EEMD) and Fourier transformation, it is found that the seismic signals of the Xinmo landslide are mainly located at low frequencies of 0–10 Hz, and the dominant frequency range is 2–8 Hz. In addition, the signal time-frequency analysis and numerical simulation calculation results reveal that the average movement distance of the sliding body was about 2750 m, and the average movement speed was about 22.9 m/s. The movement process can be divided into four main stages: rapid start, impact loading, fragmentation and migration, and scattered accumulation stages. We also provide corresponding suggestions for the zoning of high-level landslide geological hazards.

Keywords: high-position; seismic signal; numerical simulation; time-history curve; movement stage (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/7/5851/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/7/5851/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:7:p:5851-:d:1109377

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().