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首页> 外文期刊>Journal of geophysical research. Solid earth: JGR >Automatic measurement of shear wave splitting and applications to time varying anisotropy at Mount Ruapehu volcano, New Zealand
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Automatic measurement of shear wave splitting and applications to time varying anisotropy at Mount Ruapehu volcano, New Zealand

机译:新西兰鲁阿佩胡火山的剪切波分裂自动测量及其在时变各向异性中的应用

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摘要

We present an automatic shear wave splitting measurement tool for local earthquakes, with the sole manual step of choosing an S arrival time. We apply the technique to three data sets recorded on Mount Ruapehu volcano in New Zealand that have previously been determined to have fast polarizations that vary in time and with earthquake depth. The technique uses an eigenvalue minimization technique, applied over multiple measurement windows. The dominant period of each waveform sets minimum and maximum window lengths. Cluster analysis determines the best solution among all the windows, and quality grading criteria assess the results automatically. When the same filters are used for events determined to be high quality from manual studies, the automatic technique returns virtually identical results. Scatter increases when the automatic technique chooses the best filter, but the average automatic results remain consistent with the manual results. When the automatic technique is used on sets that include data previously judged as poor quality, some stations yield distributions of fast polarizations that include peaks that were not present in previously published results. The difference may stem from two factors: automatic grading lets through some measurements that independent analysts consider poor quality, but also unconscious bias in the manual selection process may downgrade measurements that do not fit expectations. Nonetheless, the new objective analysis confirms changes in the average fast polarizations between 1994 and 2002 and between shallow and deep events. Therefore, this new technique is valuable for objective assessment of anisotropy and its variation in time.
机译:我们提供了一种用于局部地震的自动剪切波分裂测量工具,并且仅需手动选择一个S到达时间即可。我们将该技术应用于记录在新西兰鲁阿佩胡山火山上的三个数据集,这些数据集先前已确定具有随时间和地震深度变化的快速极化。该技术使用了应用于多个测量窗口的特征值最小化技术。每个波形的主导周期设置最小和最大窗口长度。聚类分析确定了所有窗口中的最佳解决方案,并且质量等级标准会自动评估结果。当将相同的过滤器用于通过手动研究确定为高质量的事件时,自动技术将返回几乎相同的结果。当自动技术选择最佳过滤器时,散布会增加,但平均自动结果仍与手动结果保持一致。当自动技术用于包含先前被认为质量较差的数据的集合时,某些站点会产生快速极化的分布,其中包括先前发布的结果中不存在的峰值。差异可能源于两个因素:自动分级可以让独立分析师认为质量差的某些测量结果通过,但手动选择过程中的无意识偏差可能会降低不符合预期的测量结果。尽管如此,新的客观分析证实了1994年至2002年之间以及浅层和深层事件之间平均快速极化的变化。因此,这项新技术对于各向异性及其随时间变化的客观评估非常有价值。

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