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IUGG XXIV General Assembly July 2-13, 2007 Perugia, Italy<br />

(S) - <strong>IASPEI</strong> - International Association of Seismology and Physics of the Earth's<br />

Interior<br />

JSS009 Oral Presentation 2035<br />

Towards extraction of precursory changes from noisy electromagnetic data<br />

Prof. Toshiyasu Nagao<br />

Earthquake Prediction Research Center Tokai University <strong>IASPEI</strong><br />

Takayuki Kawakami, Keizo Sayanagi, Jun Izutsu, Makoto Harada, Makoto<br />

Uyeshima, Tada-Nori Goto<br />

There are a number of reports that electromagnetic data contain precursory changes related to<br />

earthquakes and volcanic eruptions. However, artificial noises, such as leakage current from DC-driven<br />

trains and electromagnetic noises from factories, are extremely large in Japan over wide frequency<br />

ranges. Therefore, it is very difficult to extract precursory conductivity changes and telluric current<br />

changes due to electrokinetic effects by using the conventional techniques (magneto-telluric method,<br />

apparent resistivity monitoring, and spontaneous potential monitoring, etc.).During the last decade,<br />

some researchers have been claiming that well-considered information processing techniques (principal<br />

components analysis; PCA, independent components analysis; ICA, fractal/multi-fractal analyses, and so<br />

on) are tools quite useful to extract precursory changes. Their approaches sometimes seemed working<br />

well. However, most of the cases, they only demonstrated that some abnormal changes were observed<br />

before impending earthquakes and volcanic eruptions. The abnormal changes, however, could have<br />

been due to other causes. In order to improve the situation, it is considered that we should pay more<br />

attention to remove the theoretically explainable changes (magnetic pulsations and their induction<br />

components, tidal components due to earth and ocean, etc.) at first by using the well-designed remote<br />

reference techniques (e.g., inter-station transfer function technique using wavelet transformation).<br />

Then, we apply the information processing techniques to extract precursory changes and consider their<br />

theoretical backgrounds. Analyzed data in this study is telluric current data since 1996 at Ito Station,<br />

east coast of Izu Peninsula and ocean bottom electro-magnetic data off Izu Peninsula since 2005. In the<br />

region, during the study period, we had three severe seismic swarms in 1996, 1998 and 2006. Izu<br />

Peninsula, being close to Metropolitan Tokyo, is a region of very high artificial noise. If we succeed in<br />

extracting meaningful precursory changes in this region, we believe that it is an enormous progress in<br />

seismo-electromagnetics.<br />

Keywords: precursor, earthquake prediction, electromagnetics

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