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Finite‐Frequency Inversion of Cross‐Correlation Amplitudes for Ambient Noise Source Directivity Estimation
Author(s) -
Datta Arjun,
Hanasoge Shravan,
Goudswaard Jeroen
Publication year - 2019
Publication title -
journal of geophysical research: solid earth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.983
H-Index - 232
eISSN - 2169-9356
pISSN - 2169-9313
DOI - 10.1029/2019jb017602
Subject(s) - azimuth , inversion (geology) , amplitude , cross correlation , ambient noise level , noise (video) , directivity , acoustics , waveform , physics , geology , computer science , optics , seismology , mathematics , telecommunications , statistics , sound (geography) , artificial intelligence , antenna (radio) , image (mathematics) , tectonics , radar
We present a new method for determining the azimuthal variation of ambient noise sources, which combines the computational speed and simplicity of traditional approaches with the rigor of waveform‐inversion‐based approaches to noise source estimation. This method is based on a previously developed theoretical framework of sensitivity kernels for cross‐correlation amplitudes. It performs a tomographic inversion for ambient noise sources on the Earth's surface and is suitable for small‐ (local‐) scale studies. We apply the method to passive seismic data acquired in an exploration context and account for azimuth‐dependent uncertainties in observed cross‐correlation amplitudes. Our inversion results correlate well with the azimuthal distribution of noise sources suggested by signal‐to‐noise ratio analysis of noise cross‐correlation functions.