Japan Geoscience Union Meeting 2014

Presentation information

Oral

Symbol S (Solid Earth Sciences) » S-SS Seismology

[S-SS27_29AM2] Seismic wave propagation: Theory and Application

Tue. Apr 29, 2014 11:00 AM - 12:45 PM 411 (4F)

Convener:*Tatsuhiko Saito(National Research Institute for Earth Science and Disaster Prevention), Hisashi Nakahara(Solid Earth Physics Laboratory, Department of Geophysics, Graduate School of Science, Tohoku University), Jun Matsushima(School of Engineering, The University of Tokyo), Kiwamu Nishida(Earthquake Research Institute, University of Tokyo), Kazuya Shiraishi(JGI, Inc.), Chair:Ryota Takagi(Research Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Tohoku University), Nana Yoshimitsu(Earthquake Research Institute, University of Tokyo)

12:30 PM - 12:45 PM

[SSS27-13] Separating body and Rayleigh waves with cross terms of the cross-correlation tensor of ambient noise

*Ryota TAKAGI1, Hisashi NAKAHARA2, Toshio KONO1, Tomomi OKADA1 (1.RCPEV, Graduate School of Sci., Tohoku Univ., 2.Geophysics, Graduate School of Sci., Tohoku Univ.)

Keywords:ambient noise, seismic interferometry, cross-correlation function, wavefield separation, polarization, body and Rayleigh waves

We develop a novel method to separate body and Rayleigh waves with the vertical-radial (ZR) and radial-vertical (RZ) components of the cross-correlation tensor of ambient noise. Furthermore, analyzing ambient noise records observed at a seismic array, we validate the method. For the separation, we utilize the difference in polarizations between the rectilinear P and the elliptic Rayleigh waves. Assuming the two-dimensional surface and three-dimensional body waves are the superposition of random uncorrelated plane waves, we derive two fundamental characteristics of the ZR and RZ correlations. One is that, between the ZR and RZ correlations, Rayleigh wave contributions have the opposite signs and P waves have the same signs. The other is that, for both ZR and RZ correlations, Rayleigh wave contributions are time-symmetric and P waves are time-antisymmetric. Accordingly, we can separate P and Rayleigh waves by just taking the sum and difference between ZR and RZ correlations and by just taking the time-symmetric and time-antisymmetric components. This method can be performed (1) without any knowledge of velocity structure, (2) using only two stations with three-component sensors on a ground surface, (3) even in the case of anisotropic wave incidence, and (4) with the quite simple procedure. We consider that the developed method can make better use of three-component observations of ambient noise for evaluating the cross-correlation tensor accurately, for improving deep velocity structure using both of extracted body and surface waves and, more fundamentally, for understanding the composition of ambient noise.