期刊
ENGINEERING GEOLOGY
卷 270, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.enggeo.2020.105582
关键词
Seismic signal; Xinmo landslide; Landslide process reconstruction; Discrete element method; Transition stage
资金
- 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
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.
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