HYBRID REAL TIME PREDICTION OF STORM SURGES CAUSED BY TYPHOON WHICH USES NEURAL NETWORK METHOD AND NUMERICAL MODEL
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- AMOU Seiji
- 四国建設コンサルタント株式会社 技術部
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- NAKANO Susumu
- 徳島大学 環境防災研究センター
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- KIMURA Takeshi
- 徳島大学大学院 工学研究科
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- TSUGAWA Shigeru
- 鳴門市企画総務部防災安全課
Bibliographic Information
- Other Title
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- ニューラルネットワークと数値解析による高潮現象のハイブリッドリアルタイム予測
Description
The purpose of this research is a real-time forecasting of a storm surge caused by typhoon. The lead time of forecasting was set six hours in consideration of time that it was possible to take shelter. Various parameters of the typhoon model used in the storm surge analysis were presumed by the neural network technique (BP method). The typhoon data which had passed the surrounding of Shikoku between 1991 and 2004 was used for the study data in the BP method. The numerical analysis of the storm surge for the T0514 typhoon was executed based on the predicted parameters by the BP method and the practicality of this forecasting system was examined by the comparison between observed storm tide and calculated one.
Journal
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- PROCEEDINGS OF HYDRAULIC ENGINEERING
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PROCEEDINGS OF HYDRAULIC ENGINEERING 51 793-798, 2007
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390001205170572800
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- NII Article ID
- 130003842547
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- ISSN
- 18849172
- 09167374
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed