Japan Geoscience Union Meeting 2016

Presentation information

Poster

Symbol S (Solid Earth Sciences) » S-SS Seismology

[S-SS29] Real-time monitoring, analysis, prediction of seismic ground motion, crustal movement and volcanic activity

Sun. May 22, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Mitsuyuki Hoshiba(Meteorological Research Institute), Takao Kagawa(Tottori University Graduate School of Engineering), Satoshi Kawamoto(Geospatial Information Authority of Japan), Hiromitsu Nakamura(National Research Institute for Earth Science and Disaster Prevention), Takeshi Koizumi(Japan Meteorological Agency), Naoki Hayashimoto(Seismology and Tsunami Research Department, Meteorological Research Institute)

5:15 PM - 6:30 PM

[SSS29-P08] The ambient noise analysis for the Tatun Volcano Group, Northern Taiwan

*Ya-Chuan Lai1,2, Cheng-Horng Lin1,2, TVO team2 (1.Institute of Earth Sciences, Academia Sinica, Taiwan, 2.Taiwan Volcano Observatory at Tatun, Taiwan)

Keywords:seismic ambient noise, cross-correlation

The Tatun Volcano Group (TVG) locates in the north part of Taiwan, where is close to the metropolitan Taipei with distance less than 20 km. Thus, the monitoring for the potential activity is required for geohazard assessment. Near forty broadband seismic stations have been installed in the TVG area to monitor the volcanic activity up to recent time. The dense seismic network with long-term continuous seismic data would provide the information to study the temporal or spatial change of properties of the TVG. In the study, we use ambient noise between stations to determine the temporal variation related to the 2014 ML 4.0 Shilin earthquake, which is one of the largest event occurred in the TVG area. The daily empirical Green’s functions are derived from cross-correlation of continuous vertical-component data during the time period one year before and after the earthquake occurrence. The time shift between specified and reference empirical Green’s function is then estimated to detect the small seismic velocity change of the medium associated to the Shilin earthquake. Besides, the auto-correlation of individual stations nearby the main shock epicenter is also applied to improve the ability of detection.