Multicomponent C3 Green's Functions for Improved Long-Period Ground-Motion Prediction

作者：Sheng Yixiao^*; Denolle Marine A; Beroza Gregory C

来源：Bulletin of the Seismological Society of America, 2017, 107(6): 2836-2845.

DOI：10.1785/0120170053

The 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.

• 出版日期2017-12