3 Ground Motion Simulation Using Proposed Model
Stochastic Green’s function [2] method is used for ground motion simulation. The
fault geometry and receiver location is showed in Fig. 3. S-wave velocity on surface is assumed to be 400 m/s in this study.
In Fig. 4a, samples of slip distribution is shown, while simulated ground motion
(velocity time history) for respective case is shown in Fig. 4b. As shown in the
figure, the temporal characteristics of velocity time history are different between
samples. Maximum velocity increases if large slip appear between the hypocenter
and the receiver as shown in the bottom figure in Fig. 4.
The simulated slip distribution was closer to real distribution than characterized
fault model. However, the long slip area is scattered than actual case.
4 Conclusions
Multi-unit and multi-site probabilistic seismic risk assessment is needed to respond
to the public concerns about offsite emergency response. In this paper, a stochastic
fault rupture model is proposed for the purpose of multi-unit and multi-site probabilistic seismic risk assessment.
The simulated slip distribution was closer to real distribution than characterized
fault model. However, the larger slip area scattered than actual case. It is needed to
be improved in future study. For example, it would be needed that slip distribution
is modeled by a different approach.
Acknowledgements This work is supervised by Professors Naoto Sekimura and Tatsuya Itoi.
Fig. 3 Geometrical relation
between fault plane and
receiver locations (A and B)
Ground Motion Prediction for Regional Seismic Risk Analysis …
225
Stochastic Green’s function [2] method is used for ground motion simulation. The
fault geometry and receiver location is showed in Fig. 3. S-wave velocity on surface is assumed to be 400 m/s in this study.
In Fig. 4a, samples of slip distribution is shown, while simulated ground motion
(velocity time history) for respective case is shown in Fig. 4b. As shown in the
figure, the temporal characteristics of velocity time history are different between
samples. Maximum velocity increases if large slip appear between the hypocenter
and the receiver as shown in the bottom figure in Fig. 4.
The simulated slip distribution was closer to real distribution than characterized
fault model. However, the long slip area is scattered than actual case.
4 Conclusions
Multi-unit and multi-site probabilistic seismic risk assessment is needed to respond
to the public concerns about offsite emergency response. In this paper, a stochastic
fault rupture model is proposed for the purpose of multi-unit and multi-site probabilistic seismic risk assessment.
The simulated slip distribution was closer to real distribution than characterized
fault model. However, the larger slip area scattered than actual case. It is needed to
be improved in future study. For example, it would be needed that slip distribution
is modeled by a different approach.
Acknowledgements This work is supervised by Professors Naoto Sekimura and Tatsuya Itoi.
Fig. 3 Geometrical relation
between fault plane and
receiver locations (A and B)
Ground Motion Prediction for Regional Seismic Risk Analysis …
225