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Automatic seismic phase picking and consistent observation error assessment: application to Italian seismicity

机译:自动地震相选择和一致的观测误差评估:应用于意大利地震活动

摘要

Accuracy of seismic phase observation and consistency of timing error assessment define the quality of seismic waves arrival times. High-quality and large data sets are prerequisites for seismic tomography to enhance the resolution of crustal and upper mantle structures. In this paperwe present the application of an automated picking system to some 600000 seismograms of local earthquakes routinely recorded and archived by the Italian national seismic network. The system defines an observation weighting scheme calibrated with a hand-picked data subset and mimics the picking by an expert seismologist. The strength of this automatic picking is that once it is tuned for observation quality assessment, consistency of arrival times is strongly improved and errors are independent of the amount of data to be picked. The application to the Italian local seismicity documents that it is possible to automatically compile a precise, homogeneous and large data set of local earthquake Pg and Pn arrivals with related polarities. We demonstrate that such a data set is suitable for high-precision earthquake location, focal mechanism determination and high-resolution seismic tomography.
机译:地震相位观测的准确性和定时误差评估的一致性定义了地震波到达时间的质量。高质量和大数据集是地震层析成像技术提高地壳和上地幔结构分辨率的先决条件。在本文中,我们介绍了自动分拣系统在意大利国家地震台网常规记录和存档的大约60万地震图上的应用。该系统定义了一个通过手工挑选的数据子集进行校准的观测加权方案,并模仿了专家地震学家的选择。这种自动拣选的优势在于,一旦对其进行调整以进行观测质量评估,就可以大大提高到达时间的一致性,并且误差与要拣选的数据量无关。在意大利当地地震活动中的应用表明,可以自动编译精确,均质且庞大的具有相关极性的本地地震Pg和Pn到达数据集。我们证明了这样一个数据集适用于高精度地震定位,震源机制确定和高分辨率地震层析成像。

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