In traditional empirical Green's function method, the difference between corner frequencies of large and small events is seldom considered. Since the simulation is performed by the superposition of the small events records, the results would have same corner frequencies as the small events, which contradict the fact that the corner frequency decreases with the moment magnitude. The results by traditional empirical Green's function method underestimate the low-frequency content when n2 small events are added. Assuming the corner frequency of a sub-fault is inversely proportional to the square root of the numbers of ruptured sub-faults, we construct a new function to apply the dynamic corner frequency to empirical Green's function method based on the ω2 source model. In the constructed function, the corner frequency of each sub-fault changes with the rupture propagation. We also develop a schematic diagram to show how the improved empirical Green's function method works.
To validate the empirical Green's function method with dynamic corner frequency, we simulate the near fault strong ground motion of Wenchuan earthquake. Three aftershocks of Wenchuan earthquake are used as Green's functions of the asperities based on their magnitude and locations. Then ground motions of Wenchuan earthquake are synthesized by traditional empirical Green's function method and the empirical Green's function method with the dynamic corner frequency respectively. Comparison between the simulated results and observed data indicates that the traditional empirical Green's function method underestimates the low-frequency content of ground motions. While the empirical Green's function method with the dynamic corner frequency boosts the low-frequency motions without changing the high-frequency content. The results from the empirical Green's function method with the dynamic corner frequency show good agreement with the observed records after the low-frequency contents are improved, which proves that the dynamic corner frequency is valid to eliminate the underestimation due to the difference between the corner frequencies of large events and small ones.
This study also proves that the empirical Green's function method with the dynamic corner frequency is a powerful tool to synthesize the near fault strong ground motions from MW7.9 earthquake.