Multivariate Conversion of Moment Magnitude for Small-to-Moderate-Magnitude Earthquakes in Iran
Author(s) -
Kishida Tadahiro,
Derakhshan Sahar,
Muin Sifat,
Darragh Robert B.,
Bozorgnia Yousef,
Kuehn Nicolas,
Kwak Dong Youp
Publication year - 2018
Publication title -
earthquake spectra
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.134
H-Index - 92
eISSN - 1944-8201
pISSN - 8755-2930
DOI - 10.1193/050917eqs086m
Subject(s) - magnitude (astronomy) , moment magnitude scale , standard deviation , multivariate statistics , ground motion , earthquake magnitude , seismology , statistics , moment (physics) , geology , inverse , geodesy , mathematics , physics , geometry , scaling , classical mechanics , astronomy
Homogeneous estimates of moment magnitude ( M ) for small-to-moderate-magnitude (SMM) earthquakes are important to assess regional ground motion compared to global models. However, an estimate of M was available for only 6% of the shallow crustal earthquakes in Iran from 1973 to 2013 in the database developed by the Pacific Earthquake Engineering Research Center. Therefore, this study evaluates the existing conversion models, from M L , M s , and m b , to M , for M > 4.0 using the Iranian data set. Correlations between the residuals of these conversions were computed. A weighted estimate for M is presented that combines these conversion models using these correlations based on multivariate statistics. The conversion to M was improved with smaller standard deviations, especially when M L and m b were both available. The inverse-variance–weighted approach, which is common in practice, underestimates the standard deviations because it neglects the positive correlations between these variables.
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