S23C-2728
Reconciling Earthquake Source Parameters from InSAR and Long-period Seismic Waveform Data

Tuesday, 15 December 2015
Poster Hall (Moscone South)
Nader Shakibay Senobari1, Gareth Funning1, Ana M. G. Ferreira2 and Jennifer M Weston3, (1)University of California Riverside, Riverside, CA, United States, (2)University College London, Department of Earth Sciences, Faculty of Maths & Physical Sciences, London, United Kingdom, (3)Arizona State University, Tempe, AZ, United States
Abstract:
Comparisons between earthquake source parameters as determined by InSAR and the global centroid moment tensor (GCMT) catalogue show discrepancies between locations derived using these independent methods (Ferreira et al., 2011; Weston et al., 2011, 2012). Earthquake centroid location determination using InSAR data (named the ‘InSAR Centroid Moment Tensor’, or ‘ICMT’ location) is more robust, since it is independent of Earth velocity structure errors that impact on longperiod surface wave inversions used in the GCMT method. Ferreira et al (2011) showed that these discrepancies cannot be resolved at present by applying more detailed 3D Earth velocity structures from mantle tomography models. Earthquake location determination is dependent on the assumed velocity structure, not only in the GCMT method, but also in all of the seismic based earthquake source parameter inversions. Velocity structures are typically produced by seismic tomography, which itself depends on seismic phase travel times. These travel times are a function of source location and origin time, plus the path between the source and receivers. Errors in source location can therefore be compounded as errors in the velocity structure.

In a preliminary study we analyze longperiod seismic data for four shallow continental earthquakes studied with InSAR – Zarand Mw 6.5 (Iran, 2005), Eureka Valley Mw 6.1 (California, 1993), Aiquile Mw 6.5 (Bolivia, 1998) and Wells Mw 6.0 (Nevada, 2008). We use the spectral element wave propagation package, SPECFEM3D GLOBE, and Earth model S40RTS (Ritsema et al., 2010) to calculate Green’s functions and synthetic seismograms for these events using their ICMT source locations. Using a cross-correlation method we were able to estimate phase shifts for each source-receiver pair between synthetic and observed long period waveforms. We believe these phase shifts may correspond to unmodeled heterogeneity in the S40RTS model, and if systematically documented could provide additional constraints on seismic tomographic models in future. GCMT-style source inversions that account for these phase shifts show much better agreement with the ICMT mechanisms than inversions where they are not accounted for. We show that source mechanism and moment can also be sensitive to these unknown heterogeneities in some cases.