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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40157

Title: Surface wind prediction in Penghu Islands based on typhoon tracks Wave height predictions for ship navigation during tropical cyclones
Authors: Chih-Chiang Wei
Tien-Hung Hou
Chia-Cheng Tsai
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: Wave height
Hurricane
Forecasting
Modeling
Date: 2014-12
Issue Date: 2017-01-16T02:12:44Z
Publisher: 第 36 屆海洋工程研討會論文集
Abstract: ABSTRACT: A numerical model coupled with data-driven statistical method is proposed to forecast real-time significant wave heights for a ship route during hurricanes. The proposed model can be used for determining the wave heights of buoys and the wave heights on the ship trajectory, considering the short-term time step (15 min) of the ship operation. A shipping line to the Caribbean Sea and the Gulf of Mexican was used to simulation purpose. We used artificial neural network-based multi-layer perceptron to develop the wave height prediction model. The statistic quadtree-adaptive model was used to generate the input-output relationships. To compare the efficiency achieved using ANNs, traditional multiple linear regression was selected as a benchmark. Results showed ANN-based prediction models can be regarded as being reliable, and the proposed wave height forecast model can be effectively used in forecasting.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40157
Appears in Collections:[海洋環境資訊系] 期刊論文

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