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Ocean Science Journal

, Volume 41, Issue 4, pp 245–254 | Cite as

Estimation of Design Wave Height for the Waters around the Korean Peninsula

  • Dong -Young Lee
  • Ki -Cheon Jun
Article

Abstract

Long term wave climate of both extreme wave and operational wave height is essential for planning and designing coastal structures. Since the field wave data for the waters around Korean peninsula is not enough to provide reliable wave statistics, the wave climate information has been generated by means of long-term wave hindcasting using available meteorological data. Basic data base of hindcasted wave parameters such as significant wave height, peak period and direction has been established continuously for the period of 25 years starting from 1979 and for major 106 typhoons for the past 53 years since 1951 for each grid point of the North East Asia Regional Seas with grid size of 18 km. Wind field reanalyzed by European Center for Midrange Weather Forecasts (ECMWF) was used for the simulation of waves for the extratropical storms, while wind field calculated by typhoon wind model with typhoon parameters carefully analyzed using most of the available data was used for the simulation of typhoon waves. Design wave heights for the return period of 10, 20, 30, 50 and 100 years for 16 directions at each grid point have been estimated by means of extreme wave analysis using the wave simulation data. As in conventional methodsi of design criteria estimation, it is assumed that the climate is stationary and the statistics and extreme analysis using the long-term hindcasting data are used in the statistical prediction for the future. The method of extreme statistical analysis in handling the extreme events like typhoon Maemi in 2003 was evaluated for more stable results of design wave height estimation for the return periods of 30–50 years for the cost effective construction of coastal structures.

Key words

wave simulation wave climate design wave height coastal structure 

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References

  1. Cox, A.T. and V.J. Cardone. 2000. Operational system for the prediction of tropical cyclone generated winds and waves. In:6th International Workshop on Wave Hindcasting and Forecasting November 6–10, Monterey, California.Google Scholar
  2. Cox, A.T. and V.R. Swail. 2001. A global wave hindcast over the period 1958–1997: Validation and climate assessment.J. Geophys. Res.,106(C2), 2313- 2329.CrossRefGoogle Scholar
  3. Goda, Y. 1985. Random Seas and Design of Maritime Structure. Univ. Tokyo Press, Japan.Google Scholar
  4. Günther, H.et al. 1998. The wave climate of the northeast Atlantic over the periods 1955–1994: The WASA wave hindcast.Global Atmos. Ocean System,6, 121–163.Google Scholar
  5. Günther, H., W. Rosenthal, T.J. Wears, B.A. Worthington, K. Hasselmann and J.A. Ewing. 1979. A hybrid parametrical wave prediction model.J. Geophys. Res.,84, 5727–5738.CrossRefGoogle Scholar
  6. Hatada, Y. and M. Yamaguchi. 1998. A long term wave hindcast system using ECMWF winds., p. 509–522. In:Proc. 26th Int. Conf. Coastal Eng., 1.Google Scholar
  7. Hatada, Y., M. Yamaguchi, M. Ohfuku, and H. Nonaka. 2005. Intercomparison of long-term wave data estimated on the sea area around Japan. In:Proc. Fifth Int. Symp. WAVES 2005, Madrid, Spain.Google Scholar
  8. Hasselmann, K. and J.A. Ewing. 1979. A hybrid parametrical wave prediction model.J. Geophys. Res.,84, 5727–5738.CrossRefGoogle Scholar
  9. Holland, G.J. 1980. An analytical model of the wind and pressure profiles in hurricanes.Mon. Wea. Rev.,108, 1212–1218.CrossRefGoogle Scholar
  10. Jeong, S.T., J.D. Kim, and H.Y. Cho. 2004. Characteristics on the extreme value distributions of deepwater design wave heights off the Korean Coast.J. Korean Soc. Coast. Ocean Eng.,16(3), 130–141.Google Scholar
  11. Jun, K.C. and D.Y. Lee. 2003. Interactive internet coastal wave information production and retrieval system. p. 642–644. In:Elsevier Oceanogr. Series, 69(1).CrossRefGoogle Scholar
  12. Korea Ministry of Construction. 1971. Analysis of Wave Observation Data and Determination of Design Wave Height for Each Port.Google Scholar
  13. Korea Fisheries Administration. 1974. Estimation of Design Wave Height for Each Fishing Port.Google Scholar
  14. Korea Agriculture Development Agency. 1984. Technology Development for Dike Construction.Google Scholar
  15. Korea Agriculture Development Agency. 1987. Determination of Dike Cross-section using Design Wave Height.Google Scholar
  16. Korea Fisheries Administration. 1988. Estimation of Deep Sea Design Wave Height for East and South Sea.Google Scholar
  17. Korea Maritime and Fisheries Administration. 1988. Estimation of Deign Wave Height for Port and harbour.Google Scholar
  18. Korea Port and Harbor Administration. 1986. Report on the Design of Improved Wave Measurement System of Korea. KORDI, BSPI00058-129-2, 84 p.Google Scholar
  19. KORDI. 2005. Report on the Deep Sea Design Wave Estimation for Seas Adjacent to Korea. KORDI, BSPE95100-1735-2, 154 p.Google Scholar
  20. Sterl, L. and G.J. Komen. 1998. Fifteen years of global wave hindcasts using winds from the European Centre for Medium-Range Weather Forecasts reanalysis: Validating the reanalyzed winds and assessing the wave climate.J. Geophys. Res.,103(C2), 5477–5492.CrossRefGoogle Scholar
  21. Thompson, E.F. and V.J. Cardone. 1996. Practical modeling of hurricane surface wind fields.ASCE J. Waterway, Port, Coastal and Ocean Eng.,122(4), 195–205.CrossRefGoogle Scholar
  22. WAMDI Group. 1988. The WAM model - a third generation ocean wave prediction model.J. Phy. Oceanogr.,18, 1775–1810.CrossRefGoogle Scholar
  23. Yamaguchi, H. Nonaka and Y. Hatada. 2005. Simple distribution of storm-type separated return wave height on the Northwestern Pacific Ocean.Proc. Fifth Int. Symp. WAVES 2005, Madrid, Spain.Google Scholar

Copyright information

© Korea Ocean Research and Development Institute(KORDI) and the Korean Society of Oceanography(KSO) 2006

Authors and Affiliations

  1. 1.Coastal Engineering Research DepartmentKORDIKorea

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