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Multi-scale cross-correlation analysis of temporal and spatial seismic data

Author

Listed:
  • Min Lin

    (School of Mathematical Sciences, Ocean University of China)

  • Jiaxin Qin

    (School of Mathematical Sciences, Ocean University of China)

  • Gang Wang

    (The First Institute of Oceanography, Key Laboratory of Marine Science and Numerical Modeling (MASNUM), State Oceanic Administration
    Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology
    National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, First Institute of Oceanography, Ministry of Natural Resources)

Abstract

We investigate the cross-correlation relationships between temporal and spatial seismic data by employing detrended cross-correlation analysis (DCCA) and temporal evolution of detrended cross-correlation analysis (TDCCA). The mentioned data are the series of inter-earthquakes times (IET) and inter-earthquakes distances (IED) between consecutive earthquakes in California and Sumatra regions from 1990 to 2013. Through cross-correlation test, we find long-range cross-correlation between IET and IED. We find the DCCA cross-correlation coefficient ρDCCA between them is significantly positive with the change of scale. The TDCCA between two series demonstrates cross-correlations on different window size scales over time. Strong cross-correlation levels between IET and IED on different window sizes are observed for the time periods after the big earthquakes occurred, while there are weak or no cross-correlation before and after the periods. Graphical abstract

Suggested Citation

  • Min Lin & Jiaxin Qin & Gang Wang, 2020. "Multi-scale cross-correlation analysis of temporal and spatial seismic data," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 93(3), pages 1-7, March.
    • Handle: RePEc:spr:eurphb:v:93:y:2020:i:3:d:10.1140_epjb_e2020-100536-5
    DOI: 10.1140/epjb/e2020-100536-5
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    Statistical and Nonlinear Physics;

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