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Investigation of the Spatial Clustering Properties of Seismic Time Series: A Comparative Study from Shallow to Intermediate-Depth Earthquakes

机译:地震时间序列的空间聚类性能研究:浅层浅层地震的比较研究

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摘要

In this paper, a size-independent modification of the general detrended fluctuation analysis (DFA) method is introduced. With this modified DFA, seismic time series (m = 4.5) pertaining to most seismically active regions of the world from the year 1972 up to the year 2016 are comparatively analyzed. An eminent homogeneity of spatial clustering behaviors in worldwide range is detected and DFA scaling exponents coincide with previous results for local regions. Furthermore, universal nontrivial spatial clustering behaviors are revealed from shallow to intermediate-depth earthquakes by varying the depth of the hypocenter: in shallow earthquakes, the depth range corresponding to the minimum spatial clustering is first verified to be spatiotemporal and identical; in intermediate-depth earthquakes, strong weakening long-range correlations compared to shallow earthquakes are unveiled to strengthen the recent findings in seismology. Our work aims to suggest a possible statistical approach to explore the dynamic mechanisms implied in the seismicity as well as in other analogous dynamic evolution processes.
机译:本文介绍了概述一般逆向波动分析(DFA)方法的尺寸无关修改。通过这种改进的DFA,与2016年至2016年至今,与世界上世界各地的大多数地震活动区域有关的地震时间序列(M> = 4.5)比较分析。检测到全球范围内的空间聚类行为的突出性,并且DFA缩放指数与本地区域的先前结果一致。此外,通过改变浅地震:在浅层地震中,从浅层到中间深度地震揭示了通用的非竞争空间聚类行为:首先验证对应于最小空间聚类的深度范围是不时尚的,相同的;在中间深处地震中,与浅地震相比,强弱的远程相关性被推广,以加强最近的地震学发现。我们的工作旨在提出可能的统计方法来探讨地震性中暗示的动态机制以及其他类似的动态演进过程。

著录项

  • 来源
    《Complexity》 |2018年第1期|共10页
  • 作者

    Ma Ke; Guo Long; Liu Wangheng;

  • 作者单位

    China Univ Geosci Sch Math &

    Phys Wuhan 430074 Hubei Peoples R China;

    China Univ Geosci Sch Math &

    Phys Wuhan 430074 Hubei Peoples R China;

    Michigan State Univ Dept Math E Lansing MI 48824 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大系统理论;
  • 关键词

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