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Characterization of small local noise sources with array seismology
Author(s) -
Ritter Joachim R.R.,
Sudhaus Henriette
Publication year - 2007
Publication title -
near surface geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.639
H-Index - 39
eISSN - 1873-0604
pISSN - 1569-4445
DOI - 10.3997/1873-0604.2007007
Subject(s) - slowness , seismic array , noise (video) , seismic noise , broadband , seismology , geology , acoustics , amplitude , rayleigh wave , microseism , background noise , seismic wave , computer science , physics , optics , surface wave , telecommunications , artificial intelligence , image (mathematics)
Seismic noise is often regarded as a stochastic, incoherent and unwanted signal. However, at a closer look, noise also contains coherent signals which can be used to characterize its sources and/ or the subsurface. Here, we propose the use of array seismological methods for engineering purposes to locate and identify small, local noise sources. A detailed knowledge of noise sources enables appropriate measures to be taken to mitigate unwanted noise effects. As a case study, we report results from a temporary array of ten seismic broadband stations which were installed at the building site of a high‐precision physics laboratory. Standard analyses of power spectra and amplitude measurements indicate that the highest noise amplitudes are caused by heavy trucks passing by. Burst‐like coherent waves, excited by vehicles, appear to have a recurring pattern. Using array techniques, we were able to measure the slowness and backazimuth of the coherent arrivals. These could be identified as Rayleigh waves generated at small pot‐holes and bumps of a near‐by road and were found to propagate with a speed of 130–200 m/s.