日本地球惑星科学連合2014年大会

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セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS27_29AM2] 地震波伝播:理論と応用

2014年4月29日(火) 11:00 〜 12:45 411 (4F)

コンビーナ:*齊藤 竜彦(独立行政法人 防災科学技術研究所)、中原 恒(東北大学大学院理学研究科地球物理学専攻固体地球物理学講座)、松島 潤(東京大学大学院)、西田 究(東京大学地震研究所)、白石 和也(株式会社地球科学総合研究所)、座長:高木 涼太(東北大学大学院理学研究科附属地震・噴火予知研究観測センター)、吉光 奈奈(東京大学地震研究所)

12:30 〜 12:45

[SSS27-13] 常時微動の相互相関テンソルのクロスタームを用いた実体波とレイリー波の分離

*高木 涼太1中原 恒2河野 俊夫1岡田 知己1 (1.東北大・理・予知セ、2.東北大・理・地球物理)

キーワード:常時微動, 地震波干渉法, 相互相関関数, 波動場分離, 粒子軌跡, 実体波とレイリー波

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.