書誌事項
- タイトル別名
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- A sensitivity study of real-time storm surge forecast model using artificial neural network to input parameters
説明
In the paper, the sensitivity of real-time storm surge forecast models to the input parameters is described based on the artificial neural network in order to predict the storm surge at Sakai Minato in the Sanin coast. In addition, the forecast time spans of 01, 02, 03, 04, 05, 12 and 24 hours are investigated. The study reveals that the real-time forecast model for the 24 forecast successfully predicted the observation at Sakai Minato. The performance of the real time forecast model for the 24h forecast was best when using the data set consisting of the storm surge, the sea level pressure, the depression rate of the sea level pressure and the typhoon position.
収録刊行物
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- 土木学会論文集Ｂ２（海岸工学）
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土木学会論文集Ｂ２（海岸工学） 69 (2), I_246-I_250, 2013
公益社団法人 土木学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390001205319281280
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- NII論文ID
- 130004551072
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- ISSN
- 18838944
- 18842399
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
