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Design Wave Period Estimation Using the Wave Height Information

파고 정보를 이용한 설계주기 추정

  • Hong-Yeon Cho (Marine Bigdata & AI Center, Korea Institute of Ocean Science and Technology, Univ. of Science and Technology) ;
  • Weon Mu Jeong (Maritime ICT & Mobility Research Department, Korea Institute of Ocean Science and Technology) ;
  • Ju Whan Kang (Department of Civil Engineering, Mokpo National University) ;
  • Gi-Seop Lee (Marine Bigdata & AI Center, Korea Institute of Ocean Science and Technology)
  • 조홍연 (한국해양과학기술원 해양빅데이터-AI센터) ;
  • 정원무 (한국해양과학기술원 해양 ICT-모빌리티연구부) ;
  • 강주환 (국립목포대학교 토목공학과) ;
  • 이기섭 (한국해양과학기술원 해양빅데이터-AI센터)
  • Received : 2023.07.20
  • Accepted : 2023.08.28
  • Published : 2023.08.31

Abstract

The wave height and period regression curve is widely used to estimate the design wave period. In this study, the parameters of the curves are estimated, compared, and evaluated using the linear, robust linear, and nonlinear regression methods, respectively. The data used in the design wave height estimation are the annual maxima (AM) wave height and period data sets divided by typhoon and non-typhoon conditions, provided by the Ministry of Oceans and Fisheries (2019). The estimation parameters show significant differences in the local coastal waters and the estimation methods. The estimation parameters based on the Suh et al. (2008, 2010) method show the apparent bias, under-estimation in the intercept (scale) parameter, and over-estimation in the slope (exponent) parameter, respectively.

재현기간에 따른 설계주기 추정에는 일반적으로 파고-주기 관계곡선을 이용한다. 본 연구에서는 설계주기 추정을 위한 파고-주기 관계곡선의 매개변수를 선형, 로버스트 선형, 비선형 함수를 이용하여 추정하고 그 계수를 비교-평가하였다. 매개변수 추정에 사용한 자료는 해양수산부(2019) 설계파고 추정에 사용한 연 최대 파고-주기 자료이며, 태풍, 비태풍 조건으로 구분하여 매개변수 추정에 이용하였다. 추정 매개변수는 해역의 지점에 따라 뚜렷한 차이를 보였으며, 추정기법의 경우에는 태풍 조건의 자료의 경우 비선형과 선형 기법이 큰 차이를 보이고 있는 것으로 파악되었다. 또한 SPM 공식과 GODA 공식을 평균하여 추정하는 Suh et al.(2008, 2010) 제안 방법은 절편 매개변수는 과소추정, 경사 매개변수는 과대 추정하는 것으로 파악되었으며, 해역의 국지적인 특성 반영에는 한계가 있는 것으로 판단된다.

Keywords

Acknowledgement

본 연구는 독도의 지속가능한 이용 연구사업(PG-53502)의 지원을 받아 수행되었습니다, 연구비 지원에 감사드립니다. 또한 세세한 심사로 논문 보완에 도움을 주신 익명의 심사위원에게도 감사를 드립니다.

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