| Co-Investigator(Kenkyū-buntansha) |
KAWAKATSU Histoshi The University of Tokyo, Earthquake research Institute, Professor (60242153)
IWASAKI Takaya The University of Tokyo, Earthquake Research Institute, professor (70151719)
KOKETSU Kazuki The University of Tokyo, Earthquake Research Institute, Professor (90134634)
FURUMURA Takashi The University of Tokyo, Earthquake research Institute, Deputy Director (80241404)
小原 一成 東京大学, 防災科学技術研究所・高感度地震観測室, 室長(研究職) (40462501)
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| Budget Amount *help |
¥30,160,000 (Direct Cost: ¥23,200,000、Indirect Cost: ¥6,960,000)
Fiscal Year 2006: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)
Fiscal Year 2005: ¥7,150,000 (Direct Cost: ¥5,500,000、Indirect Cost: ¥1,650,000)
Fiscal Year 2004: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2003: ¥10,530,000 (Direct Cost: ¥8,100,000、Indirect Cost: ¥2,430,000)
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| Research Abstract |
We compiled and developed a standard 3-D velocity structure model (velocity, density and Q ) in Japanese Islands to understand long-period ground motions. Then we calculate ground motions (or waveforms) by mean of FDM and three-dimensional Born kernels using this velocity structure model. Also, we operate PC-based analysis system to continuously monitor long-period (20-50 sec) seismic wavefield to simultaneously determine origin time, location and seismic moment tensor of seismic in realtime
(GRiD MT : Grid-based RealtIme Determination of Moment Tensors URL : http : //wwweic.eri.u-tokyo.ac.jp/GRiD MT/).
Summary is as follows :
(1) We analyzed waveform data from a dense nation-wide strong-motion network (K-NET and KiK-net) for SE Off-Kii Peninsula (Mw7.4) earthquake of 5 September 2004 that occurred within then Nankai Trough. The observational data and a corresponding computer simulation using this velocity structure model clearly demonstrate that long-period ground motion.
(2) A whole mantle SH velocity model is obtained by using a unique data set and technieues of 3-D Born kernels.
(3) GRiD MT detects earthquakes and determines the source parameters with a high level of precision and complete automation within three minutes of the earthquake occurrence.
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