BASIC STUDY ON ESTIMATION METHOD OF RETURN PERIOD AND VARIATION RANGE OF SEVERE STORM SURGE EVENT
ICCE 2014 Cover Image
PDF

Keywords

storm surge
return period
stochastic tropical cyclone model

How to Cite

Nakajo, S., Mori, N., Soo-Youl, K., Yasuda, T., Yamada, F., & Mase, H. (2014). BASIC STUDY ON ESTIMATION METHOD OF RETURN PERIOD AND VARIATION RANGE OF SEVERE STORM SURGE EVENT. Coastal Engineering Proceedings, 1(34), management.29. https://doi.org/10.9753/icce.v34.management.29

Abstract

Probability risk assessment of storm surge is difficult because the number of historical data of tropical cyclone is not enough for region. Most hazard maps for storm surge were designed based on the assumption that intense tropical cyclone approached in target area. However, its return period and variation range of storm surge have not been considered carefully so much. In this study, we examined them by using stochastic tropical cyclone model and physical storm surge model. Target area was Yatsushiro bay in west Kyshu Island in Japan. From physical storm surge height caused by 300 causes, we decided the severe storm surge scenario and the variation range of maximum storm surge height caused by change of translation speed and radius of tropical cyclone. Finally, by using stochastic tropical cyclone model, the return period of severe storm surge event was estimated about 370 year.
https://doi.org/10.9753/icce.v34.management.29
PDF

References

N. Booji, R. C. Ris, and L. H. Holthuijsen. A third-generation wave model for costal regions part 1: Model description and validation. Journal of Geophysical Research, 104(C4): 7649-7666, 1999.

K. Emanuel, S. Ravela, E. Vivant, and C. Risi. A statical deterministic approach to hurricane risk assess-ment. Bulletin of the American Meteorological Society, 89(3):299-314, 2006.

T. Fujita. Pressure distibution within typhoon. Geophysical Magazine, 23:437-451, 1952.

T. Hashimoto, K. Kawaguchi, H. Kawai, and K. M. M. Ichikawa. Study of stochastic tropical cyclone model and accuracy verification for rational design of coastal structure (in japanese). Proceedings of Costal Engineering Conference of JSCE, 50:176-180, 2003.

F. Kato. Study on risk assessment of storm surge flood. TECHNICAL NOTE of National Institute for Land and Infrastructure Management, (275):1-18, 2005.

K. Matsumoto, T. Takanezawa, and M. Ooe. Ocean tide models developed by assimilating topex/poseidon altimeter data into hydro-dynamical model: A global model and a regional model around Japan. Journal of Oceanography, 56:567-581, 2000.

H. Mitsuyasu and T. Honda. Wind-induced growth of water waves. Journal of Fluid Mechanics, 123:425-442, 1982.

S. Nakajo, N. Mori, T. Yasuda, and H. Mase. Basic examination of future change of tropical cyclone and storm surge properties under climate change. Coastal Engineering Proceedings, 1(33):management.24, 2012.

S. Nakajo, N. Mori, T. Yasuda, and H. Mase. Global stochastic tropical cyclone model based on principal component analysis and cluster analysis. Journal of Applied Meteorology and Climatology, 53(6):1547-1577, 2014.

P. J. Vickery, P. F. Skerlj, and L. A. Twisdale. Simulation of hurricane risk in the U.S. using empirical track model. Journal of Structural Engineering, 126(10):1222-1237, 2000.

Authors retain copyright and grant the Proceedings right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Proceedings.