[S-CG57] Dynamics in mobile belts

[SCG57-P24] Three dimensional S-wave velocity structure near the fault zones of the 2000 western Tottori earthquake using surface wave tomography

*Yudai Suemoto¹, Hiro Nimiya¹, Tatsunori Ikeda², Takeshi Tsuji^1,2, Yoshihisa Iio³ (1.Department of Earth Resources Engineering, Kyushu University, 2.International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, 3.Disaster Prevention Research Institute, Kyoto University)

Keywords:Western Tottori prefecture earthquake, surface wave tomography, ambient noise

We applied high-resolution surface wave tomography using ambient noise records to reveal three dimensional S-wave velocity structure in San-in area near the 2000 western Tottori earthquake (Mw6.8). In this area, many earthquakes have been happened by unexplored faults. The recent study using GPS data revealed that strain is accumulated in the San-in area (Nishimura at al., 2017). Therefore, new faults may be generated in the future. To reveal the mechanism of earthquakes, many seismometers were deployed around the western Tottori area. This project is called Manten project (Iio et al., 2017). In this area, P- and S-wave velocity structure at deeper than 3km was estimated by seismic tomography using P- and S-wave first arrival times from local earthquakes (Zhao et al., 2004) but the spatial resolution in shallow structure is limited. In our study, we tried to explore relatively shallow velocity structure and clarify the fault and lithology distribution in this area by using ambient seismic noise obtained from the Manten project. We used continuous seismic data recorded by 129 seismometers during the period from 15^th June to 20^th September in 2015. We estimated surface wave dispersion curves between two pairs of seismometers by applying the zero-crossing method (Ekström et al., 2009) based on the Spatial Auto Correlation (SPAC) method (Aki, 1957). By using station pairs separated by 10 to 40km, we calculated more than 3000 dispersion curves. We then inferred high-resolution phase velocity maps in the frequency range from 0.3 to 0.7Hz. Three dimensional S-wave velocity distribution was approximately estimated from observed dispersion curves by using empirical relationship between surface wave dispersion curve and S-wave velocity profile (one-third wavelength transformation) (Hayashi, 2008). The velocity boundary observed in our results could be related to the geological boundary in north area. The S-wave velocity distribution we obtained in this study demonstrated that east-west faults are identified as low S-wave velocity. However, the seismogenic fault in the 2000 western Tottori earthquake is located at high S-wave velocity lineament. Our high resolution shallow seismic velocity model (less than 3km depth) estimated using dense seismic array will help for understanding fault characteristics and stress accumulation, and contribute to disaster prevention in San-in area.