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Bulletin of the Seismological Society of America; April 2007; v. 97; no. 2; p. 661-669; DOI: 10.1785/0120060132
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Short Notes

ML and MW Scales in the Iranian Plateau Based on the Strong-Motion Records

Jafar Shoja-Taheri*,1, Saeid Naserieh1 and Hadi Ghofrani1

1 Earthquake Research Center
Ferdowsi University, Mashad, Iran
P.O. Box 9177948974
j-shoja{at}seismo.um.ac.ir
s-naserieh{at}seismo.um.ac.ir
ghofrani{at}seismo.um.ac.ir

* Present address: Building and Housing Research Center, Sheikh Fazlollah Expressway, P.O. Box 13145-1696, Tehran, Iran.

The availability of a large amount of strong-motion data recorded by the National Strong Motion Network of Iran (NSMNI) has motivated this study to develop relations for routine determination of ML and MW from digital horizontal components of the strong-motion records. The dataset comprises 861 two-component horizontal acceleration time series recorded for 125 earthquakes with magnitudes of 4.5 and larger. The ML scale is based on the horizontal synthesized Wood–Anderson seismograms. We have applied the Monte Carlo technique to evaluate distance correction curves for use in determining the local magnitude, ML, in Iran and in its northern, eastern, and Zagros subregions. Results indicate that the distance correction curves show trilinear behavior for geometrical spreading. The resulting coefficients evaluated for Iran as a whole are: R1 = 96 ± 5 km; R2 = 131 ± 5 km; n1 = 1.01 ± 0.02; n2 = –0.14 ± 0.1; n3 = 0.14 ± 0.03; k = 0.00020 ± 0.00008. The distances less than R1 correspond to attenuation of the direct waves. Between R1 and R2 is the distance where the multiply reflected and refracted shear waves from Moho dominate the arrivals. n1, n2, and n3 are the coefficients of geometrical spreading for distances from the source to R1, R1 to R2, and beyond R2. k is the coefficient of inelastic attenuation. For estimating the MW scale from the strong-motion data, we used the method proposed by Andrews (1986). To find the best correlation between the moment magnitudes measured from the strong-motion data and those measured from teleseismic data, we examined several time windows (e.g., whole trace, S-wave coda, and source time durations). The regressions show that the MW estimates from different time windows are all equally well correlated with the corresponding reported values with nearly identical standard deviations. Finally, relations between the estimates of local and moment magnitudes for the regions show that for earthquakes with magnitudes larger than about 6.0, the ML scale gradually becomes saturated and, therefore, it gives smaller values than those obtained by the MW scale. However, for smaller earthquakes, the ML scale overestimates the MW scale. This discrepancy occurs mainly because the frequency contents of the waveforms employed in these scales are different.




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