Scopus记录号: 2-s2.0-85058859265
论文题名: Continuous chatter of the Cascadia subduction zone revealed by machine learning
作者: Rouet-Leduc B. ; Hulbert C. ; Johnson P.A.
刊名: Nature Geoscience
ISSN: 17520894
出版年: 2019
卷: 12, 期: 1 起始页码: 75
结束页码: 79
语种: 英语
英文摘要: Tectonic faults slip in various manners, which range from ordinary earthquakes to slow slip events to aseismic fault creep. Slow slip and associated tremor are common to many subduction zones, and occur down-dip from the neighbouring locked zone where megaquakes take place. In the clearest cases, such as Cascadia, identified tremor occurs in discrete bursts, primarily during the slow slip event. Here we show that the Cascadia subduction zone is apparently continuously broadcasting a low-amplitude, tremor-like signal that precisely informs of the fault displacement rate throughout the slow slip cycle. Using a method based on machine learning previously developed in the laboratory, we analysed large amounts of raw seismic data from Vancouver Island to separate this signal from the background seismic noise. We posit that this provides indirect real-time access to fault physics on the down-dip portion of the megathrust, and thus may prove useful in determining if and how a slow slip may couple to or evolve into a major earthquake. © 2018, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply. 资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122640
Appears in Collections: 气候变化事实与影响
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作者单位: Los Alamos National Laboratory, Geophysics Group, Los Alamos, NM, United States
Recommended Citation:
Rouet-Leduc B.,Hulbert C.,Johnson P.A.. Continuous chatter of the Cascadia subduction zone revealed by machine learning[J]. Nature Geoscience,2019-01-01,12(1)