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2007•PROCEEDINGS OF HYDRAULIC ENGINEERINGOpen access

HYBRID REAL TIME PREDICTION OF STORM SURGES CAUSED BY TYPHOON WHICH USES NEURAL NETWORK METHOD AND NUMERICAL MODEL

Seiji AMOU, Susumu Nakano, Takeshi Kimura, Shigeru TSUGAWA

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Abstract

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.

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What this paper is about

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.

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Available abstract

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.

Key concepts: Typhoon, Storm surge, Meteorology, Storm, Artificial neural network, Environmental science, Tropical cyclone forecast model, Lead time

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HYBRID REAL TIME PREDICTION OF STORM SURGES CAUSED BY TYPHOON WHICH USES NEURAL NETWORK METHOD AND NUMERICAL MODEL — Research Paper | ScholarLens