1:45 PM - 2:00 PM
[SCG72-13] Numerical Shake Prediction incorporating heterogeneous structure: a case for the 2016 Kumamoto Earthquake
Keywords:Real time ground motion prediction, Heterogeneous attenuation structure, The 2016 Kumamoto Earthquake
Incorporating heterogeneous structure in the real time ground motion prediction such as earthquake early warning should be one of the key issues to improve the precision of ground motion prediction. Homogeneous structure is used for the prediction of future wavefield in the current numerical shake prediction scheme. In this study, we took the heterogeneous structure into consideration in the prediction scheme so as to evaluate the effects of heterogeneous structure for the real time ground motion prediction.
First, we estimated heterogeneous intrinsic and scattering attenuation structure in the western part of Japan using Multiple Lapse Time Window Analysis (MLTWA: Hoshiba, 1993; Carcole and Sato, 2010). Derived structure shows strong intrinsic and scattering attenuation around active faults and volcanoes in the Kyushu area.
Then, we conducted ground motion prediction simulation based on the numerical shake prediction scheme with the heterogeneous structure estimated before. The target earthquake was the largest one of the 2016 Kumamoto earthquake sequence. In the case of 10 s ahead prediction, root-mean-square of seismic intensity prediction residuals became lower by 15 % in the case of heterogeneous structure than the case of homogeneous structure. The rate of improvement became higher in the case of longer lead time prediction.
Although there is still room for improvement in estimating structure, intrinsic and scattering attenuation structure derived by the MLTWA is useful for real time ground motion prediction as well as the discussion of tectonics of the region.
We used waveforms observed by K-NET/KiK-net/Hi-net operated by NIED, the seismic network of Kyoto Univ., Kyushu Univ. and JMA. This study was supported by the Joint Usage/Research Center program of Earthquake Research Institute, the University of Tokyo.