IAG-IASPEI 2017

講演情報

Oral

IASPEI Symposia » S07. Strong ground motions and Earthquake hazard and risk

[S07-5] Simulation for scenario earthquakes and strong motion monitoring / processing

2017年8月1日(火) 13:30 〜 15:00 Main Hall (Kobe International Conference Center 1F)

Chairs: Masumi Yamada (Kyoto University) , John Clinton (ETH Zurich)

13:45 〜 14:00

[S07-5-02] Inversion seismic parameters model for stochastic ground motion simulation in Taiwan

Jyun-Yan Huang1, Kuo-Liang Wen1, 2, Che-Min Lin1, Chiao-Chu Hsu1 (1.National Center for Research on Earthquake Engineering, Taiwan, 2.Department of Earth Sciences, NCU, Taiwan)

Stochastic ground motion simulation technique (Boore, 1983; Boore, 2003) is useful tool to get synthetic ground motions for future possible earthquakes when applying suitable seismic parameters. The parameter models are varied within different regions due to difference in seismogenic structure. Regional parameters used in stochastic simulation that need to be checked are including stress drop, Q, geometric spreading, kappa, site transfer function etc. Parameter models for stochastic point source or finite fault simulation in previous Taiwan researches are usually collected each piece of seismogenic parameters from different studies and composed them together to deal with prediction problems (Sokolov et al., 2000; Sokolov et al., 2001; Sokolov et al., 2009; Huang et al., 2017) or inverted parameters together but some of the path attenuation relation might are far from traditional imagination about wave propagation tectonics in Taiwan (D'Amico et al., 2012).
In this study, seismological records from TSMIP rock sites (Vs30 within 600-900 m/s) will be separated into shallow crust earthquakes and intraslab earthquakes for parameter inversion for shallow and deep events. Initial path attenuation models will be fixed first to solve other parts of the parameter setting. The inverted results could have more confident that all of them are goes together and fix the Brune's spectrum (Brune, 1970) assumed in stochastic simulation technique with physical meanings of each of the parameters but not composed ones. The inverted model could be applied to study regional difference of different area such as Taiwan against Japan or California region when comparing seismograms in different regions.

Keywords: seismic parameters, stochastic ground motion simulation, Taiwan