Spatial distributions of physical parameters in depth inferred from seismic activity data
| Project/Area Number |
25330053
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Tokiwa University (2014-2015)
The Institute of Statistical Mathematics (2013) |
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Principal Investigator |
Iwata Takaki 常磐大学, 公私立大学の部局等, 准教授 (30418991)
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| Co-Investigator(Renkei-kenkyūsha) |
OGATA Yosihiko 統計数理研究所, リスク解析戦略研究センター, 名誉教授 (70000213)
TODA Shinji 東北大学, 災害科学国際研究所, 教授 (80313047)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 統計科学 / 地震 / 点過程解析 / ベイズ統計 / 固体地球物理学 / マルコフ連鎖モンテカルロ法 / 地震サイクル / 摩擦パラメータ / 点過程 / ベイズ推定 / 地震活動 / 統計数学 / 逐次モンテカルロ法 |
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| Outline of Final Research Achievements |
This project aimed to develop a statistical method to estimate the spatial distribution of slip of a large earthquake and to evaluate the spatial heterogeneity of frictional parameter. A uniqueness of the developed method is to use seismic activity data, which would contain physical information such as stress state in depth but has not been analyzed thoroughly. It was applied to the real aftershock sequences of several large events, in particular ones at a plate boundary. As a result of the analysis, inferred slip distributions are consistent with those estimated in previous studies. It is also revealed that the dependency of the frictional parameter upon depth is statistically significant.
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Report
(4 results)
Research Products
(20 results)
