1,209 earthquakes occurred in Xianyou,Fujian from August 4,2010 to October 4,2013.The largest earthquake was M L5. 0 on September 4,2013. In order to study the Xianyou earthquake sequence and understand the causative ...1,209 earthquakes occurred in Xianyou,Fujian from August 4,2010 to October 4,2013.The largest earthquake was M L5. 0 on September 4,2013. In order to study the Xianyou earthquake sequence and understand the causative structure and stress field of Xianyou,the focal mechanism solutions of six earthquakes( M L> 3. 5) in the Xianyou earthquake sequence are calculated using the broadband digital data of the Fujian Seismic Network with the seismic moment tensor inverse method. The results show that the focal faults of the six earthquakes are similar,which are all strike-slip faults striking to the northwest with high dip angles. The direction of the principal compressive stress axes is near SN,which is different from the stress field of Fujian region. The Xianyou earthquake sequence may have been induced by the stress adjustment after the impoundment of Jinzhong reservoir.展开更多
Investigating source parameters of small and moderate earthquakes plays an important role in seismology research. For small and moderate earthquakes, the mechanisms are usually obtained by first motion of P-Wave, surf...Investigating source parameters of small and moderate earthquakes plays an important role in seismology research. For small and moderate earthquakes, the mechanisms are usually obtained by first motion of P-Wave, surface wave spectra method in frequency-domain or the waveform inversion in time-domain, based on the regional waveform records. We applied the wavelet domain inversion method to determine mechanism of regional earthquake. Using the wavelet coefficients of different scales can give more information to constrain the inversion. We determined the mechanisms of three earthquakes occurred in California, the United States. They are consistent with the previous results (Harvard Centroid Moment Tensor and United States Geological Service). This proves that the wavelet domain inversion method is an efficient method to determine the source parameters of small and moderate earthquakes, especially the strong aftershocks after a large, disastrous earthquake.展开更多
基金sponsored by the Earthquake Scientific Spark Program of China Earthquake Administration(XH12026Y)
文摘1,209 earthquakes occurred in Xianyou,Fujian from August 4,2010 to October 4,2013.The largest earthquake was M L5. 0 on September 4,2013. In order to study the Xianyou earthquake sequence and understand the causative structure and stress field of Xianyou,the focal mechanism solutions of six earthquakes( M L> 3. 5) in the Xianyou earthquake sequence are calculated using the broadband digital data of the Fujian Seismic Network with the seismic moment tensor inverse method. The results show that the focal faults of the six earthquakes are similar,which are all strike-slip faults striking to the northwest with high dip angles. The direction of the principal compressive stress axes is near SN,which is different from the stress field of Fujian region. The Xianyou earthquake sequence may have been induced by the stress adjustment after the impoundment of Jinzhong reservoir.
基金supported by National Natural Science Foundation of China (Grant Nos. 40974028 and 41030319)National Basic Research Program of China (Grant No. 2008CB425701)
文摘Investigating source parameters of small and moderate earthquakes plays an important role in seismology research. For small and moderate earthquakes, the mechanisms are usually obtained by first motion of P-Wave, surface wave spectra method in frequency-domain or the waveform inversion in time-domain, based on the regional waveform records. We applied the wavelet domain inversion method to determine mechanism of regional earthquake. Using the wavelet coefficients of different scales can give more information to constrain the inversion. We determined the mechanisms of three earthquakes occurred in California, the United States. They are consistent with the previous results (Harvard Centroid Moment Tensor and United States Geological Service). This proves that the wavelet domain inversion method is an efficient method to determine the source parameters of small and moderate earthquakes, especially the strong aftershocks after a large, disastrous earthquake.
