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Seismic monitoring leveraging existing telecom infrastructure at the SDASA: Active, passive, and ambient-noise analysis

机译:地震监测利用现有电信正无穷rastructure SDASA:主动、被动、ambient-noise分析

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We analyze active and passive seismic data recorded by the Stanford distributed acoustic sensing array (SDASA) located in conduits under the Stanford University campus. For the active data we used low-energy sources (betsy gun and sledge hammer) and recorded data using both the DAS array and 98 three-component nodes deployed along a 2D line. The joint analysis of shot profiles extracted from the two data sets shows that some surface waves and refracted events are consistently recorded by the DAS array. In areas where geophone coupling was suboptimal because of surface obstructions, DAS recordings are more coherent. In contrast, surface waves are more reliably recorded by the geophones than the DAS array. Because of the noisy environment and weak sources, neither data set shows clear reflections. We demonstrate the repeatability of DAS recordings of local earthquakes by comparing two weak events (magnitude 0.95 and 1.34) with epicenters 100 m apart that occurred only one minute from each other. Analyzing another local, and slightly stronger, earthquake (magnitude 2.0) we show how the kinematics of both the P-arrival and S-arrival can be measured from the DAS data. Interferometric analysis of passive data shows that reliable virtual-source responses can be extracted from the DAS data. We observe Rayleigh waves when correlating aligned receivers, and Love waves when correlating receivers belonging to segments of the array parallel to each other. Dispersion analysis of the virtual sources shows the expected decrease in surface-wave velocity with increasing frequency.
机译:我们分析主动和被动地震数据由斯坦福大学的记录分布式声传感阵列(SDASA)位于管道斯坦福大学校园。我们使用低能量来源(betsy枪和数据大锤)和使用的记录数据DAS数组和98三分量节点部署在2 d线。从两个数据集显示配置文件中提取有些表面波和折射事件一直由DAS记录数组中。检波器的耦合是次优的,因为在哪里表面障碍物,DAS录音更连贯。可靠的记录比DAS的检波器接收数组中。来源,无论是数据集显示清晰反射。DAS的录音当地地震进行比较两个弱事件(里氏0.95和1.34)地震震中100只有一个发生一分钟。和略强,地震(2.0级)我们展示的运动学P-arrival从DAS和S-arrival可以测量数据。被动数据显示的干涉分析可靠的虚拟源反应从DAS中提取数据。波时关联对准接收器爱波当关联接收器归属感段的数组相互平行。分散的分析虚拟显示来源预期的瞬态面波法的速度下降越来越频繁。

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