A Linear Inversion Approach to Measuring the Composition and Directionality of the Seismic Noise Field

Remote Sensing

Victor C. Tsai¹  Gary Pavlis²  Ross Caton²  Daniel C. Bowden³  Andrew Matas⁴  Vuk Mandic⁵  Tanner Prestegard⁵  Patrick M. Meyers⁶ 

[1] Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI 02912, USA;Department of Geological Sciences, Indiana University, Bloomington, IN 47405, USA;Institute of Geophysics, ETH, 8092 Zürich, Switzerland;Max Planck Institute for Gravitational Physics (Albert Einstein Institute), D-14476 Potsdam-Golm, Germany;School of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, USA;School of Physics, University of Melbourne, Parkville, VIC 3010, Australia;

关键词: inversion;    microseism;    beamforming;    array processing;   

DOI  :  10.3390/rs13163097

来源: DOAJ

【 摘 要 】

We develop a linear inversion technique for measuring the modal composition and directionality of ambient seismic noise. The technique draws from similar techniques used in astrophysics and gravitational-wave physics, and relies on measuring cross-correlations between different seismometer channels in a seismometer array. We characterize the sensitivity and the angular resolution of this technique using a series of simulations and real-world tests. We then apply the technique to data acquired by the three-dimensional seismometer array at the Homestake mine in Lead, SD, to estimate the composition and directionality of the seismic noise at microseism frequencies. We show that, at times of low-microseism amplitudes, noise is dominated by body waves (P and S), while at high-microseism times, the noise is dominated by surface Rayleigh waves.

【 授权许可】

Unknown