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An aggregated template methodology: Novel automatic phase-onset identification by template matching
Geophysical Prospecting ( IF 2.6 ) Pub Date : 2021-04-27 , DOI: 10.1111/1365-2478.13103
Laure Duboeuf 1 , Volker Oye 1, 2 , Ben D. E. Dando 1
Affiliation  

The precision of P- and S-wave phase picking strongly determines the precision of earthquake locations, but such picking can be challenging in the case of emergent signals, large data sets or temporally varying seismic networks. To overcome these challenges, we have developed the concept of an aggregated template to perform automatic picking of the P- and S-wave phases. An aggregated template is defined as a representative event for a small area, built by aggregating the best signal-to-noise-ratio seismic traces from events with similar waveforms (i.e. multiplet events). A template matching procedure, based on the cross-correlation between an aggregated template and an unpicked event, automatically determines the unpicked event P- and S-wave phases. This method enables (1) consistent and accurate P- and S-wave phase picking and (2) reduces processing time relative to traditional template matching by using a clustering method that finds the most representative templates for a region, and thus limiting the required number of templates. We established two parameters to weight the picking precision: (1) the cross-correlation between the aggregated template and the unpicked event and (2) the number of P- and S-wave picks determined per event. We tested this method on 2100 events recorded in the south-west of Iceland. Nineteen aggregated templates have been defined and used to automatically pick ∼65% of the complete event catalogue with an accuracy within the range of the manual picking uncertainty. These automatically picked events can then be used for event location, even when characterized by low magnitude, low signal to noise ratios and with emergent P-wave signals.

中文翻译:

聚合模板方法:通过模板匹配进行新型自动相位起始识别

P 波和 S 波相位拾取的精度在很大程度上决定了地震定位的精度,但在突发信号、大数据集或随时间变化的地震网络的情况下,这种拾取可能具有挑战性。为了克服这些挑战,我们开发了聚合模板的概念来执行 P 波和 S 波相位的自动拾取。聚合模板被定义为小区域的代表性事件,通过聚合来自具有相似波形的事件(即多重事件)的最佳信噪比地震道而构建。模板匹配程序基于聚合模板和未拾取事件之间的互相关,自动确定未拾取事件的 P 波和 S 波相位。该方法可实现 (1) 一致且准确的 P 波和 S 波相位拾取,以及 (2) 通过使用聚类方法为区域找到最具代表性的模板,从而减少所需数量,从而减少相对于传统模板匹配的处理时间的模板。我们建立了两个参数来衡量采摘精度:(1)聚合模板与未采摘事件之间的互相关以及(2)每个事件确定的 P 波和 S 波采摘次数。我们在冰岛西南部记录的 2100 个事件中测试了这种方法。已经定义了 19 个聚合模板,并用于自动挑选约 65% 的完整事件目录,其精度在手动挑选的不确定性范围内。这些自动选择的事件然后可以用于事件定位,
更新日期:2021-06-14
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