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    • Keywords


      Fractal dimension analysis; circum-Pacific seismic belt; spatio-temporal distribution.

    • Abstract


      In this study, we present the fractal characteristics of the spatio-temporal sequence for seismic activity in the circum-Pacific seismic belt and vicinity regions, which is one of the most active seismic zones worldwide. We select the seismic dataset with magnitude $M \geq$ 4.4 in the circum-Pacific seismic belt region and its vicinity from 1900–2015 as the objects. Based on the methods of capacity dimension and information dimension, using ln(1/$\delta$)–ln N($\delta$) of the relationship to evaluate and explain, the results show that (1) in the circum-Pacific seismic belt and the surrounding areas, for the seismic activity with magnitude $M \geq$ 4.4, the time series dimension is 0.63, the spatial distribution dimension is 0.52 and they have fractal structure. (2) For the earthquakes with $M \geq$ 7.0, the time series dimension increases greatly, which indicates that the cluster characteristics in time is greatly reduced. And the earthquakes with magnitude 7.0 $\geq$ $M \geq$ 4.4 have significant impact on the characterized by clustering in time in the study region. (3) There is significant fractal structure at spatio-temporal distribution of earthquakes in the circum-Pacific seismic belt. It reveals the tectonic movements keep continuous, obvious anisotropism characteristic of geological structure and the distribution of surface stress field is spatio-temporal heterogeneity in the study area.

    • Author Affiliations


      Yin Lirong1 2 Li Xiaolu1 3 Zheng Wenfeng4 Yin Zhengtong5 Song Lihong4 Ge Lijun4 Zeng Qingchuan4

      1. Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400 715, P. R. China.
      2. Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, IA 52242, USA.
      3. Research Base of Karst Eco-environments at Nanchuan in Chongqing, Ministry of Nature Resources, School of Geographical Sciences, Southwest University, Chongqing 400 715, P. R. China.
      4. School of Automation, University of Electronic Science and Technology of China, Chengdu 610 054, P. R. China.
      5. School of Resources and Environment, Guizhou University, Guiyang 550 025, P. R. China.
    • Dates

  • Journal of Earth System Science | News

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      Posted on July 25, 2019

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