Multicomponent C3 Green’s Functions for Improved Long‐Period Ground‐Motion Prediction

2017 ◽  
Vol 107 (6) ◽  
pp. 2836-2845 ◽  
Author(s):  
Yixiao Sheng ◽  
Marine A. Denolle ◽  
Gregory C. Beroza
Keyword(s):  
Ground Motion ◽  
Green's Functions ◽  
Green’S Functions ◽  
Motion Prediction ◽  
Ground Motion Prediction ◽  
Long Period ◽  
Long Period Ground Motion

scholarly journals A technique for simulating strong ground motion using hybrid Green's function

1998 ◽  
Vol 88 (2) ◽  
pp. 357-367 ◽  
Author(s):  
Katsuhiro Kamae ◽  
Kojiro Irikura ◽  
Arben Pitarka
Keyword(s):  
Green’S Function ◽  
Ground Motion ◽  
Green's Function ◽  
Green's Functions ◽  
Strong Ground Motion ◽  
Green’S Functions ◽  
Ground Motions ◽  
Large Earthquake ◽  
Long Period ◽  
Strong Ground

Abstract A method for simulating strong ground motion for a large earthquake based on synthetic Green's function is presented. We use the synthetic motions of a small event as Green's functions instead of observed records of small events. Ground motions from small events are calculated using a hybrid scheme combining deterministic and stochastic approaches. The long-period motions from the small events are deterministically calculated using the 3D finite-difference method, whereas the high-frequency motions from them are stochastically simulated using Boore's method. The small-event motions are synthesized summing the long-period and short-period motions after passing them through a pair of matched filters to follow the omega-squared source model. We call the resultant time series “hybrid Green's functions” (HGF). Ground motions from a large earthquake are simulated by following the empirical Green's function (EGF) method. We demonstrate the effectiveness of the method at simulating ground motion from the 1995 Hyogo-ken Nanbu earthquake (Mw 6.9).

Moment Magnitude Estimation of Large Earthquakes Based on Long-Period Ground Motion Prediction Equations and Preassumed Fault Models

2016 ◽  
Vol 10 (02) ◽  
pp. 1640004
Author(s):  
Rami Ibrahim ◽  
Hongjun Si ◽  
Kazuki Koketsu ◽  
Hiroe Miyake
Keyword(s):  
Ground Motion ◽  
Magnitude Estimation ◽  
Moment Magnitude ◽  
Motion Prediction ◽  
Fault Models ◽  
Ground Motion Prediction Equations ◽  
Prediction Equations ◽  
Ground Motion Prediction ◽  
Long Period ◽  
Large Earthquakes

We proposed a simple method of moment magnitude estimation based on long-period (5–30[Formula: see text]s) ground motion prediction equations (GMPEs). We constructed empirical fault models for different trial magnitudes. The source-to-site distance from the preassumed fault models to seismic stations was estimated. The best magnitude estimate was determined with reference to the minimum residual between the magnitude estimated from the GMPEs and the trial magnitude used to define the fault model. Using this method, the moment magnitudes of six large interplate earthquakes that occurred around the Japan Islands were estimated. The estimated magnitudes obtained in this study are in good agreement with those calculated from the global centroid moment tensor project. The method has potential to be used for rapid moment magnitude estimation of large earthquakes.

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