Multicomponent C3 Green’s Functions for Improved Long-Period Ground-Motion Prediction
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CitationSheng, Yixiao, Marine A. Denolle, and Gregory C. Beroza. 2017. Multicomponent C3 Green’s Functions for Improved Long‐Period Ground‐Motion Prediction. Bulletin of the Seismological Society of America 107, no. 6: 2836-2845.
AbstractThe virtual earthquake approach to ground-motion prediction uses Green’s functions (GFs) determined from the ambient seismic field to predict long-period shaking from scenario earthquakes. The method requires accurate relative GF amplitudes between stations and among components; however, the amplitudes of ambient-field GFs are known to be subject to biases from uneven source distribution.
We show that multicomponent, higher order cross correlations are significantly less biased than the conventional first-order cross correlation, and we demonstrate that they provide a more reliable prediction of observed ground-motion amplitudes for a recent moderate earthquake on the San Jacinto fault in southern California.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41356321
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