EconPapers    
Economics at your fingertips  
 

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

Min Lin (), Jiaxin Qin and Gang Wang
Additional contact information
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

The European Physical Journal B: Condensed Matter and Complex Systems, 2020, vol. 93, issue 3, 1-7

Abstract: 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

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1140/epjb/e2020-100536-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eurphb:v:93:y:2020:i:3:d:10.1140_epjb_e2020-100536-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10051

DOI: 10.1140/epjb/e2020-100536-5

Access Statistics for this article

The European Physical Journal B: Condensed Matter and Complex Systems is currently edited by P. Hänggi and Angel Rubio

More articles in The European Physical Journal B: Condensed Matter and Complex Systems from Springer, EDP Sciences
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:eurphb:v:93:y:2020:i:3:d:10.1140_epjb_e2020-100536-5