[S-SS13] [JJ] Seismicity

[SSS13-P09] Time evolution of the 2016 Kumamoto Earthquakes II

*Masahiro Miyazaki¹, Satoshi Matsumoto², Yoshihisa Iio¹, Yusuke Yamashita¹, Hiroshi Shimizu², Takeshi Matsushima², Manami Nakamoto³, Kazunari Uchida², Megumi Kamizono⁴, Yoshiko Teguri², Group for urgent joint seismic observation of the 2016 Kumamoto earthquake⁵ (1.Disaster Prevention Research Institute, Kyoto University, 2.SEVO, Kyushu Univ., 3.National Institute of Polar Research, 4.Grad. Sch. Sci., Kyushu Univ, 5.Group for urgent joint seismic observation of the 2016 Kumamoto earthquake)

Keywords:the 2016 Kumamoto earthquake

Matched filter technique (Gibbons and Ringdal, 2006; Shelly et al., 2007) was used to detect events of earthquake swarms. We applied to the data recorded during the 2016 Kumamoto earthquakes and investigate the time evolution of seismic activities.
In this study, we checked the effect of data that were recorded near source region. We compared the average cross correlation value of each station for detected events. We found that the values of the stations within about 10km from template events were larger than that of other stations. This indicated that these data ware important to distinguish the events from continuous records.


Acknowledgement
In this study, we used the seismic observation data recorded by various organizations, including the Japan Meteorological Agency (JMA), National Research Institute for Earth Science and Disaster Prevention (NIED), Kyushu University, and Group for urgent joint seismic observation of the 2016 Kumamoto earthquake.