日本地球惑星科学連合2023年大会

講演情報

[E] オンラインポスター発表

セッション記号 S (固体地球科学) » S-VC 火山学

[S-VC28] International Volcanology

2023年5月23日(火) 15:30 〜 17:00 オンラインポスターZoom会場 (3) (オンラインポスター)

コンビーナ:Chris Conway(Geological Survey of Japan, AIST)、松本 恵子(産業技術総合研究所地質調査総合センター)、山田 大志(京都大学防災研究所 火山活動研究センター)、Katy Jane Chamberlain(University of Liverpool)


現地ポスター発表開催日時 (2023/5/24 17:15-18:45)

15:30 〜 17:00

[SVC28-P08] Shear wave velocity structure beneath San Miguel volcano, El Salvador, estimated using seismic ambient noise

Pineda Ortiz Kevyn1、*林田 拓己2 (1.General Direction of Enviromental Observatory, Ministry of Enviroments and Natural Resources, El Salvador、2.国立研究開発法人建築研究所 国際地震工学センター)

キーワード:サン・ミゲル火山、地震ノイズ、SPAC法、地震波干渉法、位相速度、群速度

San Miguel volcano is one of the most active volcanos in El Salvador. However, the seismic velocity structure beneath the volcano is not entirely understood. We estimated a one-dimensional seismic velocity structure model to detect volcanic earthquakes and precisely estimate the source locations. We used seismic ambient noise data in the vertical component recorded by four broadband seismometers (three Trillium Compact and one Lennartz LE-3D/20s) from February 2014 to April 2014. We used the spatial autocorrelation (SPAC) method (Aki, 1957) and seismic interferometry technique (e.g., Wapenaar and Fokkema, 2006), assuming that the recorded ambient noise is mainly composed of Rayleigh waves. The SPAC method enabled us to estimate the phase velocity of the surface waves from 0.2 to 1.0 Hz. We derived the SPAC coefficients as functions of the distance on noise recorded for each sensor-to-sensor pair (1.5–5.5 km). Rayleigh-wave phase velocities between 0.2 and 0.4 Hz were derived from the SPAC coefficients, and phase velocities above 0.4 Hz were inferred using the zero-crossing frequencies (Ekstrom et al., 2009). We also retrieved Green’s functions with seismic interferometry, which exploits the relation between the Green’s function and the cross-correlation of ambient noise recordings. The combined use of the two methods offered ways to obtain information about near-surface to upper crustal seismic velocity structure from the same dataset. The resultant dispersion curve was obtained in a frequency band of 0.2–1.3 Hz, considering the fundamental mode phase and group velocities. Through a joint inversion of phase and group velocities (Hayashida et al., 2019), we determined a seismic velocity structure composed of four sedimentary layers with shear wave velocities in the range of 1.0–2.8 km/s overlying a half-space layer. The proposed velocity model enabled us to locate 15 volcano-tectonic earthquakes, whose location coincides with a deformation zone known as the San Miguel Zone Fault on the volcano's northern flank.

[References]
Aki, K. (1957). Space and time spectra of stationary stochastic waves, with special reference to microtremors. Bulletin of the Earthquake Research Institute, 35, 415–456.
Ekström, G., Abers, G. A., & Webb, S. C. (2009). Determination of surface-wave phase velocities across USArray from noise and Aki’s spectral formulation. Geophysical Research Letters, 36(18)
T. Hayashida, T. Yokoi, and B. Mukunda (2019), Estimation of Shallow-to-Deep Shear Wave Velocity Structure from Joint Inversion of Surface-wave Phase and Group Velocities, Journal of Japan Association for Earthquake Engineering, Vol. 19, 5_111-5_124, doi.org/10.5610/jaee.19.5_111
Wapenaar, K., & Fokkema, J. (2006). Green’s function representations for seismic interferometry. Geophysics, 71(4), SI33–SI46