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1 July 2008 Prediction of Storm Surge and Surge Deviation Using a Neural Network
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Abstract
Storm surge is a serious natural disaster coming from the sea. It is an abnormal sea surface rising caused by strong atmospheric disturbances, such as strong winds and sudden changes in atmospheric pressure. Therefore, accurate prediction of surge deviation is an important task to avoid property losses and to reduce risk caused by typhoon surge. Many conventional numerical methods for typhoon surge prediction have been investigated, but it is still a complex ocean engineering problem. This article applied a neural network combined with harmonic analysis to predict storm surge and surge deviation. The original data from the Suao Harbor station, Taiwan, invaded directly by a typhoon, will be used to verify the present model. Comparisons with two numerical methods, the MIKE 21 model and the U.S. Federal Emergency Management Agency's model, indicate that storm surge and surge deviation can be efficiently predicted using a neural network.
and Tsung-Lin Lee "Prediction of Storm Surge and Surge Deviation Using a Neural Network," Journal of Coastal Research (JCR) 24(sp3), (1 July 2008). https://doi.org/10.2112/07-0830.1
Received: 21 January 2007; Accepted: 4 April 2007; Published: 1 July 2008
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