Statistical analysis of ULF seismomagnetic phenomena at Kakioka, Japan, during 2001-2010

Peng Han, Katsumi Hattori, Maiko Hirokawa, Jiancang Zhuang, Chieh Hung Chen, Febty Febriani, Hiroki Yamaguchi, Chie Yoshino, Jann Yenq Liu, Shuji Yoshida

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

To clarify and verify the ultralow frequency (ULF) seismomagnetic phenomena, we have performed statistical studies on the geomagnetic data observed at the Kakioka (KAK) station, Japan, during 2001-2010. We investigated the energy of ULF geomagnetic signals of the frequency around 0.01-Hz using wavelet transform analysis. To minimize the influences of artificial noises and global geomagnetic perturbations, we used only the geomagnetic data observed at nighttime (LT 2:30 A.M. to 4:00 A.M.) and utilized observations from a remote station, Kanoya, as a reference. Statistical results of superposed epoch analysis have indicated that ULF magnetic anomalies are more likely to appear before sizable earthquake events (Es->-108) rather than after them, especially 6-15-days before the events. Further statistical investigations show clearly that the ULF geomagnetic anomalies at KAK station are more sensitive to larger and closer events. Finally, we have evaluated the precursory information of ULF geomagnetic signals for local sizable earthquakes using Molchan's error diagram. The probability gain is around 1.6 against a Poisson model. The above results have indicated that the ULF seismomagnetic phenomena at KAK clearly contain precursory information and have a possibility of improving the forecasting of large earthquakes.

Original languageEnglish
Pages (from-to)4998-5011
Number of pages14
JournalJournal of Geophysical Research: Space Physics
Volume119
Issue number6
DOIs
StatePublished - Jun 2014

Keywords

  • Molchan's error diagram
  • ULF seismo-magnetic phenomena
  • statistical study
  • superposed epoch analysis (SEA)
  • wavelet transform analysis

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