【摘要】 震相到时的自动精确检测对实现海量波形数据自动处理有重要意义.针对流动地震台阵观测,本文综合利用单台AKAIKE信息准则(AIC)和多台最小二乘互相关方法,发展了震相自动精确检测技术.检测结果表明,在长短时平均比值方法(STA/LTA)检测地震事件的基础上,利用单台AIC方法,近震初至震相检测精度小于0.3S;利用多台最小二乘互相关方法,能够可靠地检测高信噪比地震的初至震相到时,当信噪比较低时,能够有效地避免初至震相的错误判别.更多还原

【Abstract】 Automatic phase picking is a critical procedure for seismic data processing, especially for a huge amount of seismic data recorded by a large-scale portable seismic array. In this study is presented a new method used for automatic accurate onset phase picking based on the property of dense seismic array observations. In our method, the Akaike′s information criterion (AIC) for the single channel observation and the least-squares cross- correlation for the multi-channel observation are combined together. The tests by the seismic array observation data after triggering with the short-term average/long-term average (STA/LTA) technique show that the phase picking error is less than 0.3 s for local events by using the single channel AIC algorithm. In terms of multi-channel least-squares cross-correlation technique, the clear teleseismic P onset can be detected reliably. Even for the teleseismic records with high noise level, our algorithm is also able to effectually avoid manual misdetections.更多还原