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-P07] Source location of volcanic earthquakes at Sakurajima using CCF-based and amplitude source location methods

*Novia Antika Anggraeni1Takeshi Nishimura1Hisashi Nakahara1Theodorus Permana2 (1.Department of Geophysics, Graduate School of Science, Tohoku University、2.Institute of Seismology and Volcanology, Faculty of Science, Hokkaido University)

キーワード:Volcano Earthquake, Source location determination, CCF, ASL

Determining the source location of volcanic earthquakes is one of the most important aspects in volcanic activity monitoring. Nevertheless, it is hard to determine their hypocenters using P and S wave arrival times for seismic swarms consisting of continuous occurrence of Volcano Tectonic earthquakes (VTs), low-frequency earthquakes and/or sustained volcanic tremor. Some methods have been developed to overcome this problem, several method using, for example, cross-correlation analyses of seismic waves recorded at a seismic network (CCF-method, e.g., Droznin et al., 2015; Permana et al., 2020) and amplitude source location using the amplitude decay due to geometrical spreading and intrinsic attenuation (ASL, Battaglia and Aki, 2003) are presented. But, the evaluation of both methods is still limited.
In this study, we compare the hypocenters determined from CCF and ASL methods using the seismic swarm data at Sakurajima volcano. We use continuous seismic records of JMA stations for the period from 08h00m to 22h00m JST on August 15th, 2015. The vertical component records at 6 stations deployed on the Sakurajima volcano’s edifice are analyzed. Following Permana et al. (2020), we apply the CCF-based method by calculating interstation waveform correlations (CCFs). Since the peak of CCF represents the arrival time difference of a station pair, we compare the theoretical arrival time differences with the observed ones. We use the seismic velocity structure that is approximated from Miyamachi et al. (2013), in which S-wave velocity increases from 1.330 km/s at the ground surface with a vertical gradient of 0.775 s-1. For the ASL method, we first determine the site amplification factor using the coda wave normalization method (Phillips and Aki, 1986). Correcting the observed amplitude with the site amplification factors, we calculate the theoretical amplitudes by assuming an intrinsic attenuation factor of Q = 100 and S-wave velocity of 2 km/s.
The seismic waves at two frequency bands (4-8 Hz and 8-16 Hz) are analyzed. We apply the Source Scanning Algorithm (SSA) on a 3D grid with a spacing of 0.001° in latitude and longitude, and 0.1 km in depth, respectively.
We compare the 28 VT source locations estimated from CCF and ASL methods with the hypocenters determined from P- and S- wave arrival times. The difference (misfit) shows about 1 km mistfit in average both in lateral and vertical directions at 8 - 16 Hz frequency band. The results of CCF-based tend to show smaller misfits.