JpGU-AGU Joint Meeting 2017

講演情報

[JJ] 口頭発表

セッション記号 M (領域外・複数領域) » M-TT 計測技術・研究手法

[M-TT39] [JJ] インフラサウンド及び関連波動が繋ぐ多圏融合地球物理学の新描像

2017年5月22日(月) 15:30 〜 17:00 A05 (東京ベイ幕張ホール)

コンビーナ:山本 真行(高知工科大学 システム工学群)、新井 伸夫(名古屋大学減災連携研究センター)、市原 美恵(東京大学地震研究所)、座長:山本 真行(高知工科大学 システム工学群)、座長:市原 美恵(東京大学地震研究所)

16:10 〜 16:25

[MTT39-03] Ionospheric volcanology: GNSS-TEC observation & modeling of the 2015 Kuchinoerabujima eruption

*中島 悠貴1西田 究2青木 陽介2Occhipinti Giovanni3日置 幸介1 (1.北海道大学大学院理学院自然史科学専攻地球惑星ダイナミクス講座、2.東京大学地震研究所、3.パリ地球物理研究所)

キーワード:電離圏、GPS、GNSS、火山

Efforts in last decade prove that ionosphere, mainly observed by GNSS measuring the total electron content (TEC), is sensitive to geophysical phenomena as earthquakes, tsunamis, and, more recently, volcanic explosions.
Kuchinoerabujima is a volcanic island located in ~200 km southwest of Kyushu, Japan. The volcano erupted at 0:59 UT May 2015 (VEI 3).
We found a concentric acoustic wave following the eruption in GNSS-TEC time series. We used 1 Hz GEONET (GSI) data for this analysis. The observed wave seems include high frequency (5–10 mHz) pulse disappearing in the first ~300 km around the volcano and a monochromatic wave (~5 mHz) observable for more than ~20 min and reaching the distance of ~400 km. The traveltime indicates the wavefront is almost spherical. We interpreted those signals as a combination of, first, the direct shock wave propagating within the atmosphere/ionosphere and, second, the acoustic wave trapped in the lower atmosphere/ionosphere by the effect of the cut-off frequency change with the altitude.
Our observation are also supported by various ground observations: barometers (NIED; AIST), microphones (NIED; JMA) and broadband seismometer (NIED). We detected ~1 hPa wide frequency range (2–70 mHz) air wave in near-field and ~15 mHz perturbation reflecting or refracting once or twice at ~100 km from the volcano. The difference of frequency components derives from the instruments noise level or dispersion of the wave.
In order to validate our hypothesis we support and discuss our observations with the light of the modeling with the main goal of constrain some physical parameters of interest in volcanology.

Acknowledgement: We thank AIST for barometric records by the integrated groundwater observation well network for earthquake prediction of the Tonankai/Nankai earthquake. We also thanks IPGP, ERI and Hokkaido Univ. exchange programs to make our collaboration possible.