Measurement of surface wave group velocity using wavelet transform
Jiang Chanjun
Wang Youxue
Xiong Bin
Yun Peng
Xu Jinrong
Nai Zhenlong
Abstract:Wavelet transform is proposed to measure surface wave group velocity in this paper.Several common mother wavelets are respectively used to calculate Rayleigh wave group velocities of the same synthetic seismograms,the results are compared with the theoretical group velocities.The comparison results indicate that Morlet wavelet is the most effective one in calculating group velocities.Furthermore,we compare Morlet wavelet transform with the most common used multiple filter technique in calculating group velocity,from which the following conclusions are drawn:① multiple filter analysis method extremely depends on the value of Gaussain filter parameter α,and smaller value of α should be chosen during long period of surface wave;② when the value of α is chosen adaptively,multiple filter analysis method is more accurate than Morlet wavelet transform in calculating group velocities when the period of surface wave is between 20 seconds and 35 seconds,while multiple filter analysis method has the similar accuracy with Morlet wavelet transform when the period of surface wave is over 35 seconds;③ multiple filter analysis method will cost much more time to choose adaptive value of Gaussain filter parameter α for different periods without self-adaptivity to signals;however,wavelet transform can narrow the time window and lengthen the frequency window when analyzing short period signals and lengthen the time window and narrow the frequency window when analyzing long period signals with self-adaptivity to signals,which shows the outstanding advantage of wavelet transform over the multiple filter analysis method.
Keywords:surface wavegroup velocitywavelet transformMorlet waveletmultiple filter technique
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:11( 356-366 )
Acta Seismologica Sinica

Acta Seismologica Sinica

PKUISTIC
ISSN:0253-3782
Year, Vol.(Issue):2017,39(3)