| Project/Area Number |
15K16307
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Natural disaster / Disaster prevention science
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| Research Institution | Kyoto University |
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Principal Investigator |
Yamada Masumi 京都大学, 防災研究所, 助教 (60456829)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | 緊急地震速報 / 強震動 / 地震活動 / 熊本地震 / 海溝型地震 / 東北地方太平洋沖地震 |
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| Outline of Final Research Achievements |
We developed a system which improves the speed and accuracy of an earthquake early warning for large earthquakes. By applying the algorithm designed for multiple simultaneous earthquakes (IPF method), the performance of the earthquake early warning improved for both main shock and aftershocks of the 2016 Kumamoto earthquake. We also evaluated the accuracy of a new P-wave detection algorithm (kurtosis method). The kurtosis method was able to detect a P wave 0.12 seconds faster than the current method in average. However, since it is sensitive to the change of waveforms, it tends to be falsely triggered by a noise. Introducing a filter to identify noises is a key for the practical application.
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