Abstract
Two methods to automatically collect disturbed ultra low frequency electromagnetic signals before strong earthquakes were developed in this paper, in which one is only related to the spectrum intensity of electric field, and another is additionally combined with fractal dimension feature in electromagnetic emissions. Both techniques were applied for satellite data processing, case study and precursor distinction around Chile earthquakes, especially those occurring in 2010. Their advantages and disadvantages were compared and discussed based on actual application results. Further research on data mining needs to be carried out to improve the old and to develop the new ones based on the property of electromagnetic waves and multi parameters.
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Zhang, X. et al. (2010). Automatic Collecting Technique of Low Frequency Electromagnetic Signals and Its Application in Earthquake Study. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_34
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DOI: https://doi.org/10.1007/978-3-642-15280-1_34
Publisher Name: Springer, Berlin, Heidelberg
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