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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 19, issue 5
Nonlin. Processes Geophys., 19, 577–583, 2012
https://doi.org/10.5194/npg-19-577-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 19, 577–583, 2012
https://doi.org/10.5194/npg-19-577-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Oct 2012

Research article | 19 Oct 2012

Fractal analysis of ULF electromagnetic emissions in possible association with earthquakes in China

Y. Ida1, D. Yang2, Q. Li2, H. Sun3, and M. Hayakawa1,4,5 Y. Ida et al.
  • 1Research Station on Seismo Electromagnetics, The University of Electro-Communications (UEC), 1-5-1 Chofugaoka, Chofu Tokyo 182-8585, Japan
  • 2Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
  • 3Kashi observatory, Earthquake Administration of Xinjiang Uygur Autonomous Region, Xinjiang 844000, China
  • 4Hayakawa Institute of Seismo-Electromagnetics, Co. Ltd., UEC Incubation Center, Chofu Tokyo, Japan
  • 5Earthquake Analysis Laboratory, Information Systems Inc., Kita-aoyama 2-12-42-305, Minato-ku, Tokyo 107-0061, Japan

Abstract. The long-term data (during the period of 1 March 2003 through 31 December 2006) of ULF geomagnetic variations observed at Kashi station (geographic coordinates: 39.5° N, 76.0° E) in China have been used to investigate the long-term variation of fractal dimension of ULF emissions. We have studied the changes in fractal dimension in association with several earthquakes around the observation station. It is then found that a significant change (or decrease) in the fractal dimension of the Z component took place before the 1 September 2003 earthquake, which lends a further support to our previous finding based on our improved polarization analysis for the same earthquake. The results obtained are discussed in the contexts of a few aspects (detectability of seismogenic emissions, comparison with previous results by other analysis methods, the importance of fractal analysis in the nonlinear process of the lithosphere and earthquake prediction).

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