Journal
EARTH PLANETS AND SPACE
Volume 68, Issue -, Pages -Publisher
SPRINGEROPEN
DOI: 10.1186/s40623-016-0565-3
Keywords
Ground-motion simulations; Stochastic finite-fault method; 2016 Kumamoto earthquake
Categories
Funding
- National Science Foundation of China [41474002]
- Japan Society for the Promotion of Science [15K12483]
- Kyushu University Interdisciplinary Programs in Education and Projects in Research Development
- Grants-in-Aid for Scientific Research [15K12483] Funding Source: KAKEN
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On April 15, 2016, Kumamoto, Japan, was struck by a large earthquake sequence, leading to severe casualty and building damage. The stochastic finite-fault method based on a dynamic corner frequency has been applied to perform ground-motion simulations for the 2016 Kumamoto earthquake. There are 53 high-quality KiK-net stations available in the Kyushu region, and we employed records from all stations to determine region-specific source, path and site parameters. The calculated S-wave attenuation for the Kyushu region beneath the volcanic and non-volcanic areas can be expressed in the form of Q(s) = (85.5 +/- 1.5) f(0.68 +/- 0.01) and Q(s) = (120 +/- 5) f (0.64 +/- 0.05), respectively. The effects of lateral S-wave velocity and attenuation heterogeneities on the ground-motion simulations were investigated. Site amplifications were estimated using the corrected cross-spectral ratios technique. Zero-distance kappa filter was obtained to be the value of 0.0514 +/- 0.0055 s, using the spectral decay method. The stress drop of the mainshock based on the USGS slip model was estimated optimally to have a value of 64 bars. Our finite-fault model with optimized parameters was validated through the good agreement of observations and simulations at all stations. The attenuation characteristics of the simulated peak ground accelerations were also successfully captured by the ground-motion prediction equations. Finally, the ground motions at two destructively damaged regions, Kumamoto Castle and Minami Aso village, were simulated. We conclude that the stochastic finite-fault method with well-determined parameters can reproduce the ground-motion characteristics of the 2016 Kumamoto earthquake in both the time and frequency domains. This work is necessary for seismic hazard assessment and mitigation.
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