A New Method to Detect Dynamically Triggered Earthquakes by High Frequency Power Integral Difference
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摘要Dynamic earthquake triggering is an inter-seismic interaction phenomenon in which seismic activity is enhanced by passage of teleseismic waves. Since the first report after the 1992 Landers earthquake (Hill et al., 1993), it has been confirmed by a large number of observations on a global scale. Presently dynamic triggering is used as a natural experimental process to investigate the response of a fault to stress disturbance, enhancing our understanding of the underlying mechanism of the earthquakes occurrence. Present methods to detect dynamically triggered earthquakes are mostly based on identifying and picking small earthquakes manually, and/or checking the changing of seismic activity by β statistic test. Here we develop a new automatic method, HighPID, based on the difference of high frequency power integration before and after teleseism arrival. Compared with previous methods, HighPID is applicable to large amounts of data, does not depend on the earthquake catalog, and has little subjective influence. We apply the new method to the northern part of the Xiaojiang fault zone in Yunnan Province, southwest China. 43 large distant earthquakes (Magnitude >=7) occurred from 2012 to 2014 and are examined for dynamic triggering. The results from traditional methods show that 7 out of 43 teleseismic earthquakes are accompanied by clear dynamic triggering. In comparison, the HighPID method defines that 6 of the above 7 events have dynamically triggered earthquakes. Furthermore, we find three more teleseisms accompanied by dynamic triggering in the new results, which were not reported by the traditional methods. Since HighPID is fully automated, a large amount of data can be processed and analyzed quickly, providing a more comprehensive understanding of dynamic triggering. Next we will add more data to verify the validity of the algorithm and continue to explore dynamic triggering and seismicity near the Xiaojiang fault zone.
著者Naidan Yun, Shiyong Zhou, Hongfeng Yang
會議名稱AGU Fall Meeting
會議地點Washington DC

上次更新時間 2020-03-04 於 16:39