测试和设计雷德蒙德盐矿监测实验期间记录的局部地震事件判别因子

IF 2.6 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
R. Tibi, Nathan Downey, R. Brogan
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引用次数: 0

摘要

犹他州雷德蒙德盐矿(RSM)监测实验旨在记录距离小于50公里的地震声学数据,用于算法测试和开发。在2017年10月至2019年7月的实验期间,6个宽带地震台站同时运行,其中3个台站在实验期间保持固定位置,而其他3个台站则每1个半月到2个半月移动一次。RSM作业包括每周几次夜间地下爆破。RSM位于地震活动性带附近,可以直接比较自然和人为来源。利用记录的数据集,我们构建了1373个局部震级(ML)在−2.4到3.3之间的事件。雷德蒙德盐矿的75次爆炸和206次构造地震的ML和尾波持续震级(MC)都得到了很好的约束。我们使用这些事件来测试和设计区分rme和eq的判别器,并且在局部距离上有效。鉴别器包括ML - MC、低频Sg对高频Sg、Pg/Sg相幅比和Rg/Sg谱幅比,以及两个或多个分类器的不同组合。ML−MC、低频Sg到高频Sg和Rg/Sg的受试者工作特征曲线下面积(auc)为0.92 ~ 1.0,表明这些判别方法非常有效。相反,Pg/Sg的AUC仅为0.57,表明该判别器仅略好于随机分类器。在有效分类器中,Rg/Sg对种群的误分类可能性最低(4.3%)。联合判别分析的结果表明,即使是被认为无效的单一分类器,如Pg/Sg,在与其他分类器结合使用时也可以提供一些价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing and Design of Discriminants for Local Seismic Events Recorded during the Redmond Salt Mine Monitoring Experiment
The Redmond Salt Mine (RSM) Monitoring Experiment in Utah was designed to record seismoacoustic data at distances less than 50 km for algorithm testing and development. During the experiment from October 2017 to July 2019, six broadband seismic stations were operating at a time, with three of them having fixed locations for the duration, whereas the three other stations were moved to different locations every one-and-half to two-and-half months. RSM operations consist of nighttime underground blasting several times per week. The RSM is located in proximity to a belt of active seismicity, allowing direct comparison of natural and anthropogenic sources. Using the recorded data set, we built 1373 events with local magnitude (ML) of −2.4 and lower to 3.3. For 75 blasts (RMEs) from the Redmond Salt Mine and 206 tectonic earthquakes (EQs), both ML and the coda duration magnitude (MC) are well constrained. We used these events to test and design discriminants that separate the RMEs from the EQs and are effective at local distances. The discriminants consist of ML−MC, low-frequency Sg to high-frequency Sg, Pg/Sg phase-amplitude ratios, and Rg/Sg spectral amplitude ratios, as well as different combinations of two or more of these classifiers. The areas under the receiver operating characteristic curves (AUCs) of 0.92–1.0 for ML−MC, low-frequency Sg to high-frequency Sg, and Rg/Sg indicate that these discriminants are very effective. Conversely, the AUC of only 0.57 for Pg/Sg suggests that this discriminant is only slightly better than a random classifier. Among the effective classifiers, Rg/Sg, shows the lowest likelihood of misclassification (4.3%) for the populations. Results of joint discriminant analyses suggest that even the arguably ineffective single classifier, like Pg/Sg in this case, can provide some value when used in combination with others.
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来源期刊
Bulletin of the Seismological Society of America
Bulletin of the Seismological Society of America 地学-地球化学与地球物理
CiteScore
5.80
自引率
13.30%
发文量
140
审稿时长
3 months
期刊介绍: The Bulletin of the Seismological Society of America, commonly referred to as BSSA, (ISSN 0037-1106) is the premier journal of advanced research in earthquake seismology and related disciplines. It first appeared in 1911 and became a bimonthly in 1963. Each issue is composed of scientific papers on the various aspects of seismology, including investigation of specific earthquakes, theoretical and observational studies of seismic waves, inverse methods for determining the structure of the Earth or the dynamics of the earthquake source, seismometry, earthquake hazard and risk estimation, seismotectonics, and earthquake engineering. Special issues focus on important earthquakes or rapidly changing topics in seismology. BSSA is published by the Seismological Society of America.
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