Effect of magnitude on timespace relationship model
© M.M. Alam
Volcanic activity and seismicity (magnitude, M>7,2) during a period of more than 125 years in Japan are investigated. Simple and partial correlation coefficient between time and log distance with the elimination of focal parameters are carried out, which help primarily to decide whether the sampling information are to be rejected as insufficient for regression analysis or to determine the level beyond which it is useful to perform a regression analysis excluding the parameter of the lowest importance. The timespace relationship between major eruptions and large earthquakes could be explained by a transformed linear model. Nonlinear data smoothing algorithm (4253H, twice) suggests that time duration will be smaller for great earthquakes (M>7,8) than that of large earthquakes (M<7,8). That is strain migration will be faster for great earthquakes than large earthquakes. Again, smoothed average distance decreases for large earthquakes (M<7,8) but increases for great earthquakes (M>7,8). That is, strain migration region for large earthquakes is shorter than that of the great earthquakes.
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