Development of quantitative prediction approach of wind gusts in urban areas by merging meteorological model and LES model
Project/Area Number |
21540453
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Meteorology/Physical oceanography/Hydrology
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Research Institution | Kyoto University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
NAKAYAMA Hiromasa 日本原子力研究開発機構, 原子力基礎工学研究部門, 研究員 (50535903)
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Project Period (FY) |
2009 – 2011
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Project Status |
Completed (Fiscal Year 2011)
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Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | 大気境界層 / 大気乱流 / 突風 / 都市気象 / LES / 都市モデル / 気象予報 / 風災害 / 数値流体力学 / 気象モデル / 強風災害 / 融合解析 / 数値予報 / 防災 |
Research Abstract |
In this study, we have developed a numerical approach of wind variation over urban areas by taking into account the effects of urban turbulence and meteorological fields. This approach uses the outputs of a high-resolution meteorological model as the inputs of a large-eddy simulation(LES) model. The proposed approach was applied to cases of typhoons and extra-tropical cyclones that spawned significant wind gusts over the Tokyo business district. It was demonstrated that the proposed approach of coupling a meteorological model and an LES model is able to quantitatively estimate the intensity of wind gusts over the urban area. This new approach will be used for applications to solve problems related to natural disasters, environments, and emergency responses.
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Report
(4 results)
Research Products
(40 results)
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[Presentation] メソ気象擾乱による強風変動のSGSモデルを用いた高解像度気象解析2009
Author(s)
竹見哲也, 荒木啓司, 今井俊昭, 柴田徹, 楠研一, 別所康太郎, 中里真久, 益子渉, 林修吾, 星野俊介, 猪上華子, 保野聡裕
Organizer
日本気象学会2009年度秋季大会
Place of Presentation
福岡県福岡市
Year and Date
2009-11-27
Related Report
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