DOI QR코드

DOI QR Code

Estimation of Deepwater Design Wave Height on Southern Coast of Korean Peninsula by Empirical Simulation Technique

경험모의기법에 의한 남해안의 심해 설계파고 산정

  • Suh, Kyung-Duck (Department of Civil and Environmental Engineering, Seoul National University) ;
  • Kim, Mun-Ki (Technology Research & Development Institute, Daelim Industrial Co., Ltd.) ;
  • Chun, Je-Ho (Institute of Construction and Environmental Research, Handong Global University)
  • 서경덕 (서울대학교 건설환경공학부) ;
  • 김문기 (대림산업 기술개발원) ;
  • 천제호 (한동대학교 건설환경연구소)
  • Received : 2011.01.31
  • Accepted : 2011.06.27
  • Published : 2011.08.29

Abstract

Estimation of wave height is the most important factor in the design of coastal structures such as breakwaters. In the present study, typhoon wind distribution was constructed by applying the parametric model of Holland (1980), and numerical simulations on the typhoon-generated waves were carried out using the WAM. The typhoons which affected the southern coast of the Korean Peninsula and several hypothetical typhoons were selected to construct the training sets. Design wave heights were estimated using the empirical simulation technique for various return periods and wave directions. The estimated design wave heights were compared with those by the peaks-over-threshold method and the results of KORDI(2005).

방파제 등 항만 외곽시설의 설계에 있어서 파랑은 구조물의 단면을 결정하는 가장 중요한 요소이다. 본 연구에서는 Holland(1980)의 파라미터 모델을 이용하여 태풍시의 해상풍을 구축하고, WAM 모형을 이용하여 태풍에 의한 파랑을 수치 계산하였다. 남해안의 부산, 목포, 여수, 서귀포 지역에 영향을 미친 태풍을 선정하고 가상의 태풍을 추가하여 training set을 구성하고, 남향 계열의 7개 파향에 대해서 경험모의기법을 적용하여 재현기간별 설계 파고를 산정하였다. 또한, 이를 POT 방법과 한국해양연구원(2005)의 결과와 비교, 분석하였다.

Keywords

References

  1. 건설부 (1971). 해상관측자료 정리분석 및 각항 설계파 결정 용역 보고서.
  2. 농업진흥공사 (1987). 설계파에 의한 방조제 단면 결정.
  3. 수산청 (1988). 해역별(동해남해) 심해파 추정 보고서.
  4. 서경덕, 양영철, 전기천, 이동영 (2009). 경험모의기법을 이용한 한반도 주변 해역에서의 극치해면 분석. 한국해안해양공학회지, 21(3), 254-265.
  5. 천제호, 안경모, 윤종태 (2006). 음해법을 이용한 WAM모형의 태풍파랑 수치모의. 한국해안해양공학회지, 18(4), 294-300.
  6. 한국해양연구원 (2005). 전해역 심해 설계파 추정 보고서 II.
  7. 해운항만청 (1976). 설계파 결정을 위한 연구.
  8. 해운항만청 (1988). 전국 항만 설계파 추산 보고서.
  9. Borgman, L.E., Miller, M.C., Butler, H.L. and Reinhard, R.D. (1992). Empirical simulation of future hurricane storm histories as a tool in engineering and economic analysis. Proc. Civ. Engrg. In the Oceans V, ASCE, New York, N.Y., 42-45.
  10. Goda, Y. (2000). Random Seas and Design of Maritime Structures. 2nd ed. World Scientific, Singapore.
  11. Holland, G.J. (1980). An analytic model of the wind and pressure profiles in hurricanes. Monthly Weather Review, 108(8), 1212-1218. https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2
  12. Sheffner, N.W., Borgman, L.E. and Mark, D.J. (1993). Application of large domain hydrodynamic models to generate frequency-ofoccurrence relationships. Proc. 3rd Int. Conf. on Estuarine and Coast. Modeling, ASCE, New York, N.Y., 264-278.
  13. Sheffner, N.W., Borgman, L.E. and Mark, D.J. (1996). Empirical simulation technique based storm surge frequency analyses. J. Wtrwy. Port. Coast. and Oc. Engrg., 122(2), 93-101. https://doi.org/10.1061/(ASCE)0733-950X(1996)122:2(93)
  14. Sheffner, N.W., Clausner, J.E., Militello, A., Borgman, L.E., Edge, B.L. and Grace, P.J. (1999). Use and application of the empirical simulation technique: User's guide. Technical Report CHL-99-21, U.S. Army Corps of Engineers, Washington, DC.
  15. The WAMDI group, Hasselmann, S., Hasselmann, K., Bauer, E., Janssen, P.A.E.M., Komen, G.J., Bertotti, L., Lionello, P., Guillaume, A., Cardone, V.C. and Greenwood, J.A. (1988). The WAM model - a third generation ocean wave prediction model, Journal of Physical Oceanography, 18, 1775-1810. https://doi.org/10.1175/1520-0485(1988)018<1775:TWMTGO>2.0.CO;2

Cited by

  1. Analysis of Confidence Interval of Design Wave Height Estimated Using a Finite Number of Data vol.25, pp.4, 2013, https://doi.org/10.9765/KSCOE.2013.25.4.191