Advances in alternating electromagnetic field data processing for earthquake monitoring in China

Guoze Zhao, Yaxin Bi, Lifeng Wang, Bin Han, Xiao Wang, QiBin Xiao, JunTao Cai, Yan Zhan, XiaoBin Chen, Ji Tang, JiJun Wang

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


The alternating electromagnetic (EM) field is one of the most sensitive physical fields related to earthquakes. There have been a number of publications reporting EM anomalies associated with earthquakes. With increasing applications and research of artificial-source extremely low frequency EM and satellite EM technologies in earthquake studies, the amount of observed data from the alternating EM method increases rapidly and exponentially, so it is imperative to develop suitable and effective methods for processing and analyzing the influx of big data. This paper presents research on the self-adaptive filter and wavelet techniques and their applications to analyzing EM data obtained from ground measurements and satellite observations, respectively. Analysis results show that the self-adaptive filter method can identify both natural- and artificial-source EM signals, and enhance the ratio between signal and noise of EM field spectra, apparent resistivity, and others. The wavelet analysis is capable of detecting possible correlation between EM anomalies and seismic events. These techniques are effective in processing and analyzing massive data obtained from EM observations.
Original languageEnglish
Pages (from-to)172-182
JournalScience China Earth Sciences
Issue number2
Publication statusPublished (in print/issue) - Feb 2015


  • seismic electromagnetic
  • alternating EM field
  • data processing
  • wavelet
  • stereoscopic observation


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