| Project/Area Number |
25350507
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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 |
Natural disaster / Disaster prevention science
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| Research Institution | Kyushu University |
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Principal Investigator |
NISHIYAMA KOJI 九州大学, 工学(系)研究科(研究院), 助教 (20264070)
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| Co-Investigator(Kenkyū-buntansha) |
TSUKAHARA Kenichi 九州大学, 大学院工学研究院, 教授 (90404003)
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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 |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 豪雨災害 / レーダー降水強度 / レーダー積算雨量 / 土石流 / 過去の災害履歴 / 自己組織化マップ / 気象災害 / 豪雨 / 災害検索 / 気象レーダー / 解析雨量 / 避難行動 / パターン認識 / 合成レーダー |
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| Outline of Final Research Achievements |
This study classified non-linear complicated long-term meteorological fields including western Japan into visually-detectable patterns using SOM,and investigated relationships between meteorological field patterns and heavy rainfall cases. From these analysis, it could be clearly and visually identified what kinds of meteorological field patterns have a potential to cause heavy rainfall and associated disasters.On the other hand, in order to recognize debris flow disaster risk, this study extracted past debris disasters in local historical documents in Hiroshima. Therefore, for protecting local residents, past debris flow disasters should be fully recognized by the local residents through the construction of local disaster archives.Moreover, accumulated rainfall distribution products led to visually-clear recognition of local heavy rainfall in comparison with conventional radar information for early recognition of heavy rainfall and associated debris flow disasters.
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