2002 Fiscal Year Final Research Report Summary
Realtime Earthquake Mechanism Monitoring System based on Long-period Seismic Wavefield
| Project/Area Number |
12558043
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Natural disaster science
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| Research Institution | The University of Tokyo |
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Principal Investigator |
KAWAKATSU Hitoshi KAWAKATSU,Hitoshi, 地震研究所, 教授 (60242153)
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| Co-Investigator(Kenkyū-buntansha) |
YAMANAKA Yoshiko The University of Tokyo, Earthquake Research Institute, Research Associate, 地震研究所, 助手 (30262083)
URABE Taku The University of Tokyo, Earthquake Research Institute, Associate Professor, 地震研究所, 助教授 (30160336)
TAKANO Kiyoshi The University of Tokyo, Earthquake Research Institute, Associate Professor, 地震研究所, 助教授 (80134659)
TSURUOKA Hiroshi The University of Tokyo, Earthquake Research Institute, Research Associate, 地震研究所, 助手 (10280562)
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| Project Period (FY) |
2000 – 2002
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| Keywords | Realtime seismology / Moment tensor / Earthquake mechanism / Earthquake analysis / Strong motion prediction / Seismic wavefiled / Seismic activity |
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| Research Abstract |
In this research project, we intended to monitor the long-period seismic wavefield to infer the earthquake activity field which is consistent with the long-period wavefield. In the previous research project, we had noticed that it may be possible to do that every second in realtime. The challenge was how to implement the system which operates continuously.
We have developed and implemented such a realtime moment tensor inversion system based on continuous monitoring of the long-period seismic wavefiled. The system determines a moment tensor solution which explains the observed long-period seismic wavefield best every one second. With the current implementation, a 250kmx250km (100km in depth) area can be monitored with a single PC. The earthquake Research Institute of the University of Tokyo now monitors the seismicity of 5 regions along the east coast of Honshu island using this system. Results are posted at GRiD MT home page (http://wwweic.eri.u-tokyo.ac.jp/GRiD_MT/).
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