| Project/Area Number |
26420494
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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 |
Hydraulic engineering
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
Kitano Toshikazu 名古屋工業大学, 工学(系)研究科(研究院), 教授 (00284307)
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| Co-Investigator(Kenkyū-buntansha) |
志村 隆彰 統計数理研究所, 数理・推論研究系, 助教 (40235677)
田中 茂信 京都大学, 防災研究所, 教授 (70414985)
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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 |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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)
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| Keywords | 再現期間 / 経験度 / 高潮・高波 / 豪雨 / ベイズ統計 / 極値分布 / ポアソン検定 / 生起率 / 閾値超過極値モデル / ２変量ＧＰ分布 / ２変量ポアソン分布 / 多変量極値分布 / 予測分布 / アンサンブル / d4PDF / 極値理論 / 気候変動 / 治水計画 / 気候変動に対する適応策 / 極値の空間モデル / 統計的過誤 / 情報基準 / 極値統計解析 / 総合確率法 |
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| Outline of Final Research Achievements |
Extrapolation is one of the most essential functions of extreme value analysis, and therefore it requires the accuracy based on the sample size of the employing data. Now that numerous ensemble datasets output by climate model are available and the numerical calculation of hydrological processes (for precipitation) and coastal deformations (for storm surge and waves) are possible, we should consider its suitable methods based on the extreme value theories. This research have built the following new methods: two-sample problem of extremes, extended Poisson test with the degrees of experience, Bayesian approach to prediction distributions for the future maximum as well as the return levels of natural forces, integration of information by employing numerous ensemble members, spatial average of extreme precipitations by employing AMeDAS and d4PDF, and asymptotic theory of rounding the extreme values and truncating the distributions. Those examples of various methods are also demonstrated.
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