Back-Azimuth Estimation of Air-to-Ground Coupled Infrasound from Transverse Coherence Minimization

Jordan W. Bishop, Matthew M. Haney, David Fee, Robin S. Matoza, Kathleen F. McKee, John J. Lyons
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Abstract

Abstract We present the transverse coherence minimization method (TCM)—an approach to estimate the back-azimuth of infrasound signals that are recorded on an infrasound microphone and a colocated three-component seismometer. Accurate back-azimuth information is important for a variety of monitoring efforts, but it is currently only available for infrasound arrays and for seismoacoustic sensor pairs separated by 10 s of meters. Our TCM method allows for the analysis of colocated sensor pairs, sensors located within a few meters of each other, which may extend the capabilities of existing seismoacoustic networks and supplement operating infrasound arrays. This approach minimizes the coherence of the transverse component of seismic displacement with the infrasound wave to estimate the infrasound back-azimuth. After developing an analytical model, we investigate seismoacoustic signals from the August 2012 Humming Roadrunner experiment and the 26 May 2021 eruption of Great Sitkin Volcano, Alaska, U.S.A., at the ranges of 6.5–185 km from the source. We discuss back-azimuth estimates and potential sources of deviation (1°–15°), such as local terrain effects or deviation from common analytical models. This practical method complements existing seismoacoustic tools and may be suitable for routine application to signals of interest.
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基于横向相干最小化的空对地耦合次声反方位估计
摘要本文提出了一种估计由次声传声器和三分量地震仪记录的次声信号的反向方位的方法——横向相干最小化法。准确的反向方位信息对各种监测工作都很重要,但目前只能用于次声阵列和相隔10秒米的地震声传感器对。我们的TCM方法允许对放置的传感器对进行分析,传感器彼此相距几米,这可以扩展现有地震声学网络的能力,并补充运行的次声阵列。该方法将地震位移的横向分量与次声的相干性最小化,从而估计出次声的反方位角。在建立了一个分析模型之后,我们研究了2012年8月哼唱Roadrunner实验和2021年5月26日美国阿拉斯加大锡特金火山喷发的地震声信号,距离震源6.5-185公里。我们讨论了反方位角估计和潜在的偏差来源(1°-15°),如局部地形影响或与常见分析模型的偏差。这种实用的方法补充了现有的地震声学工具,可能适合常规应用于感兴趣的信号。
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