著者

木村 剛士 中野 晋 天羽 誠二 白川 卓磨

出版者

公益社団法人 土木学会

雑誌

海岸工学論文集 (ISSN:09167897)

巻号頁・発行日

vol.54, pp.296-300, 2007

---

Konaruto Channel in the position that links Kii Channel to Seto inland sea shows peculiar tide characteristics, but long-term observations on tide level have not been performed in this channel. Therefore an accurate storm surge prediction was impossible because a tide level prediction was not possible. We carried out tide level observations in three harbors of this channel for one year and obtained tidal harmonic constants. We performed storm surge simulationsu sing the obtainedh armonicc onstants and were able to get good reproductionr esults. Furthermore, as a result of the reproductive storm surge calculation of typhoon 16 in 2004w hen a large storm surge disaster occurred in Takamatsu City, it became clear that storm surge more than 2m above sea level occurred in the northern coast of Naruto City.

著者

木村 剛士 中野 晋 天羽 誠二 白川 卓磨

出版者

Japan Society of Civil Engineers

雑誌

海岸工学論文集 (ISSN:09167897)

巻号頁・発行日

vol.54, pp.296-300, 2007 (Released:2010-06-04)

参考文献数

4

---

Konaruto Channel in the position that links Kii Channel to Seto inland sea shows peculiar tide characteristics, but long-term observations on tide level have not been performed in this channel. Therefore an accurate storm surge prediction was impossible because a tide level prediction was not possible. We carried out tide level observations in three harbors of this channel for one year and obtained tidal harmonic constants. We performed storm surge simulationsu sing the obtainedh armonicc onstants and were able to get good reproductionr esults. Furthermore, as a result of the reproductive storm surge calculation of typhoon 16 in 2004w hen a large storm surge disaster occurred in Takamatsu City, it became clear that storm surge more than 2m above sea level occurred in the northern coast of Naruto City.

著者

天羽 誠二 中野 晋 木村 剛士 津川 茂

出版者

Japan Society of Civil Engineers

雑誌

水工学論文集 (ISSN:09167374)

巻号頁・発行日

vol.52, pp.1393-1398, 2008

---

We investigated the real-time forecast system of a storm surge to reduce its disaster. Typhoon properties such as central atmospheric pressure were forecasted before several hours by two methods. The one is forecasting by using neural network technique based on the past typhoon data and the other is utilization of typhoon forecast information by the Meteorological Agency. As a result of the comparison of both methods, it was found that the latter gave more correct forecast of typhoon properties. Based on the forecasting values of typhoon, we carried out the real-time forecasting of a storm surge and examined the practical utility of this system.