Development of Multi-Scale Prediction Model for Atmospheric Turbulence and Dispersion for Assessing Risks of Nuclear Power Plant Disaster
| Project/Area Number |
26282107
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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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 |
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| Co-Investigator(Kenkyū-buntansha) |
中山 浩成 国立研究開発法人日本原子力研究開発機構, 原子力科学研究部門 原子力基礎工学研究センター, 研究副主幹 (50535903)
堀口 光章 京都大学, 防災研究所, 助教 (60190253)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥15,990,000 (Direct Cost: ¥12,300,000、Indirect Cost: ¥3,690,000)
Fiscal Year 2016: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2014: ¥8,060,000 (Direct Cost: ¥6,200,000、Indirect Cost: ¥1,860,000)
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| Keywords | 自然災害 / 大気乱流 / 大気拡散 / 原子力災害 / 気象モデル / LES / 災害リスク評価 / 東日本大震災 / 自然現象観測・予測 / 防災 |
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| Outline of Final Research Achievements |
The aim of this study is to develop a multi-scale prediction model of atmospheric turbulence and dispersion for assessing risks of nuclear power plant disasters by merging field observations and high-resolution numerical modeling. The LES model was updated with the use of turbulence and dispersion data obtained in Kyoto City and Oklahoma City. By conducting turbulence simulations by coupling a mesoscale meteorological model and the updated LES model, we have developed a multi-scale prediction model for assessing risks of nuclear power plants under various meteorological conditions.
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Report
(5 results)
Research Products
(49 results)
