日本地球惑星科学連合2025年大会

講演情報

[E] 口頭発表

セッション記号 S (固体地球科学) » S-IT 地球内部科学・地球惑星テクトニクス

[S-IT18] 惑星中心核:内部構造・形成・進化

2025年5月30日(金) 15:30 〜 17:00 106 (幕張メッセ国際会議場)

コンビーナ:飯塚 理子(早稲田大学教育学部理学科地球科学専修)、中島 陽一(熊本大学大学院先端科学研究部物理科学講座)、新名 良介(明治大学)、河口 沙織(デクトリスジャパン株式会社/島根大学)、座長:河口 沙織(高輝度光科学研究センター)、中島 陽一(熊本大学大学院先端科学研究部物理科学講座)

15:30 〜 15:45

[SIT18-06] 波形インバージョン法を用いた太平洋北東部下の外核最下部の1次元P波速度構造推定

*大林 徹1佐藤 嶺1河合 研志1 (1.東京大学大学院理学系研究科地球惑星科学専攻)


キーワード:液体構造の波形インバージョン、外核最下部、実体波

In the lowermost outer core, immediately above the inner core boundary (ICB), the crystallization of liquid iron releases light elements into the outer core, which is thought to drive outer core convection. Therefore, this layer is one of the most important regions in understanding the Earth’s thermal and chemical evolution. For a better understanding of the distribution of light elements, it is important to estimate the detailed structure of the lowermost outer core. In seismology, a low-velocity anomaly layer is suggested to exist in the lowermost outer core, but its thickness and velocity gradient are controversial (Souriau & Poupinet, 1994; Kennett et al., 1995; Yu et al., 2005; Ohtaki & Kaneshima, 2015). This is because many previous seismological studies face challenges due to the limited number of seismic data sensitive to the lowermost outer core.
Our research group has developed methods for localized waveform inversion (Kawai et al., 2006), which can fully utilize waveforms themselves as the data, enabling high-resolution imaging of mantle structure. This method can resolve the limited number of data by extracting all information from seismic waveforms and using data with close travel times, which contain detailed information about the lowermost outer core.. In this study, therefore, we extend the waveform inversion technique to infer the liquid structure. We also apply this extended method to data including the PKP, PKiKP, and PKIKP phases to estimate the 1-D P-wave velocity structure of the lowermost outer core beneath the northeastern Pacific, where the seismic data sampling is abundantly provided by NIED and IRIS. In this presentation, we will show the inferred 1-D P-wave velocity model and the resolution test result.