Synthetic seismograms of ground motion near earthquake fault using simulated Green’s function method

Seismograms near source fault were synthesized using the hybrid empirical Green’s function method where the discretely simulated seismic waveforms are used for Green’s functions instead of the observed waveforms of small earthquakes. The Green’s function seismic waveforms for small earthquake were calculated by solving wave equation using the pseudo-spectral method with the staggered grid real FFT strategy under a detailed 2-D velocity structure in Kobe region. Magnitude and seismic moment of simulated Green’s function waveforms were firstly determined by using the relationship between fault length and corner frequency of source spectrum. The simulated Green’s function waveforms were employed to synthesize seismograms of strong ground motion near the earthquake fault. The synthetic seismograms of the target earthquake were performed based on the model with multiple source rupture processes. The results suggest that synthesized seismograms coincide well with observed seismic waveforms of the 1995 Hyogo-ken Nanbu earthquake. The simulated Green’s function method is very useful for prediction of the strong ground motion in region without observed seismic waveforms. The present technique spreads application field of the empirical Green’s function method.

[1]  Differentiation operation in the wave equation for the pseudospectral method with a staggered mesh , 2001 .

[2]  John G. Anderson,et al.  Predictability of strong motions from the Northridge, California, earthquake , 1996, Bulletin of the Seismological Society of America.

[3]  Lawrence Hutchings,et al.  Kinematic earthquake models and synthesized ground motion using empirical Green's functions , 1994 .

[4]  Vladimir Sokolov,et al.  Spectral parameters of the ground motions in Caucasian seismogenic zones , 1998, Bulletin of the Seismological Society of America.

[5]  Zhixin Zhao,et al.  Staggered Grid Real Value FFT Differentiation Operator and its Application for Wave Propagation Simulation in Heterogeneous Medium , 2003 .

[6]  Gail M. Atkinson,et al.  Stochastic finite-fault modeling of ground motions from the 1994 Northridge, California, earthquake. II. Widespread Nonlinear response at soil sites , 1998, Bulletin of the Seismological Society of America.

[7]  Collapse ratios of buildings due to the 1995 Kobe earthquake and interference between S-wave and the second surface wave at basin edge , 2004 .

[8]  Keiiti Aki,et al.  Simultaneous study of the source, path, and site effects on strong ground motion during the 1989 Loma Prieta earthquake: A preliminary result on pervasive nonlinear site effects , 1991 .

[9]  John F. Schneider,et al.  Ground Motion Model for the 1989 M 6.9 Loma Prieta Earthquake Including Effects of Source, Path, and Site , 1993 .

[10]  Yuehua Zeng,et al.  A composite source model of the 1994 Northridge earthquake using genetic algorithms , 1996, Bulletin of the Seismological Society of America.

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

[12]  Moshe Reshef,et al.  Three-dimensional elastic modeling by the Fourier method , 1988 .

[13]  Estimates of regional and local strong motions during the great 1923 Kanto, Japan, earthquake (Ms 8.2). Part 2: Forward simulation of seismograms using variable-slip rupture models and estimation of near-fault long-period ground motions , 1998, Bulletin of the Seismological Society of America.

[14]  Moshe Reshef,et al.  Elastic wave calculations by the Fourier method , 1984 .

[15]  Paul W. Kasameyer,et al.  Validation of a procedure for calculating broadband strong-motion time histories with empirical Green's functions , 1996 .

[16]  Kojiro Irikura,et al.  Three-dimensional simulation of the near-fault ground motion for the 1995 Hyogo-Ken Nanbu (Kobe), Japan, earthquake , 1998, Bulletin of the Seismological Society of America.

[17]  R. Haddon,et al.  Use of empirical Green's functions, spectral ratios, and kinematic source models for simulating strong ground motion , 1996, Bulletin of the Seismological Society of America.

[18]  Effects of soil amplification ratio and multiple wave interference for ground motion due to earthquake , 2004 .

[19]  Hiroshi Takenaka,et al.  Parallel 3-D pseudospectral simulation of seismic wave propagation , 1998 .

[20]  Simulations of Seismic Wave Propagation and Ground Motion Acceleration in a Basin-like Structure , 2006 .

[21]  Kojiro Irikura,et al.  Minute Locating of Faulting beneath Kobe and the Waveform Inversion of the Source Process during the 1995 Hyogo-ken Nanbu, Japan, Earthquake Using Strong Ground Motion Records , 1996 .

[22]  Robert W. Graves,et al.  Three-dimensional finite-difference modeling of the San Andreas fault: Source parameterization and ground-motion levels , 1998, Bulletin of the Seismological Society of America.

[23]  K. Irikura Prediction of strong acceleration motions using empirical Green's function , 1986 .

[24]  Gail M. Atkinson,et al.  Stochastic Point-Source Modeling of Ground Motions in the Cascadia Region , 1997 .

[25]  Kojiro Irikura,et al.  Site Amplification of Ground Motions during Aftershocks of the 1995 Hyogo-ken Nanbu Earthquake in Severely Damaged Zone - Array Observation of Ground Motions in Higashinada Ward, Kobe City, Japan - , 1996 .

[26]  Kojiro Irikura,et al.  Earthquake Source Modeling for Strong Motion Prediction , 1994 .

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

[28]  Gail M. Atkinson,et al.  Stochastic finite-fault modeling of ground motions from the 1994 Northridge, California, earthquake. I. Validation on rock sites , 1998, Bulletin of the Seismological Society of America.