Open AccessModified Frequency-Bessel Transform Method for Dispersion Imaging of Rayleigh Wave from Ambient Seismic Noise
Author(s) -
Chaoqiang Xi,
Jianghai Xia,
Tianyu Dai,
Liu Ya,
Lixin Ning
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/660/1/012049
Subject(s) - bessel function , rayleigh wave , dispersion (optics) , ambient noise level , seismic noise , acoustics , hankel transform , geology , inversion (geology) , noise (video) , dispersive body waves , surface wave , seismology , mathematical analysis , physics , seismic wave , mathematics , optics , computer science , image (mathematics) , artificial intelligence , tectonics , sound (geography)
Surface wave methods based on ambient noise have gained much attention from geophysical and civil engineering communities because of the limited application of traditional seismic surveys in highly populated urban areas. Higher modes information is important in dispersion curve inversion for shear-wave velocity structure. A method using the Frequency-Bessel (F-J) transform is for extracting the multimode dispersion curves from ambient seismic noise recordings. At high frequencies, the measured dispersion energy image by the F-J transform, however, would usually be polluted by a type of “crossed” artifacts. We proposed a modified frequency-Bessel (MFJ) transform by replacing the Bessel function in the F-J method with the Hankel function to attenuate the artifacts. A numerical simulation and a real-world example indicate the effectiveness of the proposed MFJ method in improving the accuracy of Rayleigh wave dispersion measurements, compared with the F-J method.