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Blind source separation of temporally independent microseisms

AuthorsMeschede, M.; Stutzmann, E.; Schimmel, Martin
KeywordsBody waves
Seismic noise
Wave propagation
nonnegative matrix factorization
Issue DateFeb-2019
PublisherOxford University Press
CitationGeophysical Journal International, 216(2): 1260-1275 (2019)
AbstractSecondary microseismic sources emit seismic waves over long time spans. Reoccurring signals with similar slowness and frequency therefore arrive at seismic arrays. Blind source separation techniques can be used to identify and isolate such reoccurring signals from other signals and from diffuse seismic noise. Along these lines, we use non-negative matrix factorization as blind source separation technique to decompose continuous seismic array records. We model the recorded energy as a mixture of a few components with static slowness-frequency and time-dependent amplitudes. Components and amplitudes are fitted to optimally explain the recorded seismic energy over time. These components represent secondary microseismic signals with quasi-static slowness-frequency vector and fluctuating amplitude. Each fitted component reveals the geographical origin (through the slowness-frequency vector) and time evolution of an active secondary microseism with high precision because it is separated from other signals and diffuse seismic noise. Furthermore, relative traveltimes can be automatically extracted for the signals that correspond to a specific component that can potentially be used in tomographic studies. We show two examples of seismic signals that were extracted with this technique, one focusing on P waves from the typhoons Goni and Atsani, and the other showing secondary microseism PKP signals from typhoon Glenda.
Publisher version (URL)https://doi.org/10.1093/gji/ggy437
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