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    Volume 34 Issue 4
    Jul.  2009
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    RONG Dai-lu, LI Ya-rong, 2009. Growing Correlation Length Prior to Moderate Strong Earthquakes in the Boundaries along the Northeast Margin of Tibet Block. Earth Science, 34(4): 673-681.
    Citation: RONG Dai-lu, LI Ya-rong, 2009. Growing Correlation Length Prior to Moderate Strong Earthquakes in the Boundaries along the Northeast Margin of Tibet Block. Earth Science, 34(4): 673-681.

    Growing Correlation Length Prior to Moderate Strong Earthquakes in the Boundaries along the Northeast Margin of Tibet Block

    • Received Date: 2008-10-26
    • Publish Date: 2009-07-25
    • For studying the characteristics of seismic correlation length before great earthquakes, the temporal-spatial change of seismicity prior to 6 moderate strong earthquakes (ML>5. 5) in the boundaries along the northeast margin of Tibet block have been analyzed. We use ellipse, whose long axis is coincident with the strike of main fault belt in the source area, as the spatial window to analyze growing correlation length prior to main-shock and design the corresponding optimization procedure. Comparison between the results from elliptical and circular spatial windows shows that the growing correlation length prior to 6 moderate strong earthquakes studied have been observed in both two spatial windows. The results from ellipse are better than that from circular, and the growth ranges of correlation length in former are larger than those in later yet the smaller curvature parameter values of C are obtained in elliptical spatial windows. Three types of random synthetic catalog are used to test the significance of the results. The results reject the null hypothesis for three types of random synthetic catalog and show that the observed patterns are not consequences of random fluctuations. That theory is found to be of above 99% confidence levels. The scaling relation we found, log Re~0.46 M between the main-shock magnitude M and the equivalent radius Re of the critical region is in good agreement with theoretical values.

       

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