Comparison of Ground Motions from Hybrid Simulations to NGA Prediction Equations

We compare simulated motions for a Mw 7.8 rupture scenario on the San Andreas Fault known as the ShakeOut event, two permutations with different hypocenter locations, and a Mw 7.15 Puente Hills blind thrust scenario, to median and dispersion predictions from empirical NGA ground motion prediction equations. We find the simulated motions attenuate faster with distance than is predicted by the NGA models for periods less than about 5.0 s After removing this distance attenuation bias, the average residuals of the simulated events (i.e., event terms) are generally within the scatter of empirical event terms, although the ShakeOut simulation appears to be a high static stress drop event. The intra-event dispersion in the simulations is lower than NGA values at short periods and abruptly increases at 1.0 s due to different simulation procedures at short and long periods. The simulated motions have a depth-dependent basin response similar to the NGA models, and also show complex effects in which stronger basin response occurs when the fault rupture transmits energy into a basin at low angle, which is not predicted by the NGA models. Rupture directivity effects are found to scale with the isochrone parameter.

[1]  A. Pitarka,et al.  Broadband Ground-Motion Simulation Using a Hybrid Approach , 2010 .

[2]  Robert W. Graves,et al.  The SCEC Southern California Reference Three-Dimensional Seismic Velocity Model Version 2 , 2000 .

[3]  D. Boore,et al.  Beyond SaGMRotI: Conversion to SaArb, Sasn, and SaMaxRot , 2007 .

[4]  J. Brune Tectonic stress and the spectra of seismic shear waves from earthquakes , 1970 .

[5]  David M. Boore,et al.  Beyond Sa GMRotI : Conversion to Sa Arb , SaSN, and Sa MaxRot , 2007 .

[6]  N. Abrahamson,et al.  Modification of Empirical Strong Ground Motion Attenuation Relations to Include the Amplitude and Duration Effects of Rupture Directivity , 1997 .

[7]  Yuehua Zeng,et al.  A composite source model for computing realistic synthetic strong ground motions , 1994 .

[8]  BrianS-J. Chiou,et al.  An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra , 2008 .

[9]  A. Frankel Dense array recordings in the San Bernardino Valley of landers-big bear aftershocks: Basin surface waves, Moho reflections, and three-dimensional simulations , 1994, Bulletin of the Seismological Society of America.

[10]  Jack W. Baker,et al.  Quantitative Classification of Near-Fault Ground Motions Using Wavelet Analysis , 2007 .

[11]  Kenneth W. Hudnut,et al.  The ShakeOut Scenario: A Hypothetical Mw7.8 Earthquake on the Southern San Andreas Fault , 2011 .

[12]  G. Lanzo,et al.  A Comparison of NGA Ground-Motion Prediction Equations to Italian Data , 2009 .

[13]  G. Atkinson,et al.  Ground-Motion Prediction Equations for the Average Horizontal Component of PGA, PGV, and 5%-Damped PSA at Spectral Periods between 0.01 s and 10.0 s , 2008 .

[14]  N. A. Abrahamson,et al.  A stable algorithm for regression analyses using the random effects model , 1992, Bulletin of the Seismological Society of America.

[15]  Jonathan P. Stewart,et al.  Empirical Model for Basin Effects Accounts for Basin Depth and Source Location , 2005 .

[16]  Christopher R. Bradley,et al.  Memory-Efficient Simulation of Anelastic Wave Propagation , 2001 .

[17]  Maurice S. Power,et al.  An Overview of the NGA Project , 2008 .

[18]  Shawn Larsen,et al.  Calculation of broadband time histories of ground motion: Comparison of methods and validation using strong-ground motion from the 1994 Northridge earthquake , 1999, Bulletin of the Seismological Society of America.

[19]  Robert W. Graves,et al.  Broadband ground motion simulations for scenario ruptures of the Puente Hills fault , 2006 .

[20]  Kim B. Olsen,et al.  Estimation of Q for Long-Period (>2 sec) Waves in the Los Angeles Basin , 2003 .

[21]  B. Chiou,et al.  Directivity in NGA Earthquake Ground Motions: Analysis Using Isochrone Theory , 2008 .

[22]  K. Campbell,et al.  NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 s , 2008 .

[23]  Robin K. McGuire,et al.  The character of high-frequency strong ground motion , 1981 .

[24]  Jonathan P. Stewart,et al.  Broadband simulations for Mw 7.8 southern San Andreas earthquakes: Ground motion sensitivity to rupture speed , 2008 .

[25]  Philip J. Maechling,et al.  ShakeOut‐D: Ground motion estimates using an ensemble of large earthquakes on the southern San Andreas fault with spontaneous rupture propagation , 2009 .

[26]  I. M. Idriss,et al.  Comparisons of the NGA Ground-Motion Relations , 2008 .

[27]  D. Boore Stochastic simulation of high-frequency ground motions based on seismological models of the radiated spectra , 1983 .

[28]  N. Abrahamson,et al.  Summary of the Abrahamson & Silva NGA Ground-Motion Relations , 2008 .

[29]  G. Atkinson,et al.  Modeling finite-fault radiation from the ωn spectrum , 1997, Bulletin of the Seismological Society of America.

[30]  William A. Bryant,et al.  A Site-Conditions Map for California Based on Geology and Shear-Wave Velocity , 2000 .

[31]  Donald V. Helmberger,et al.  Elastic finite-difference modeling of the 1971 San Fernando , 1988 .

[32]  Kenneth W. Hudnut,et al.  The ShakeOut Earthquake Source and Ground Motion Simulations , 2011 .

[33]  Arthur Frankel,et al.  Simulating strong motions of large earthquakes using recordings of small earthquakes: the Loma Prieta mainshock as a test case , 1995, Bulletin of the Seismological Society of America.