한국해안·해양공학회논문집 (Journal of Korean Society of Coastal and Ocean Engineers)

  • 제32권1호
  • /
  • Pages.85-93
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  • 2020
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  • 1976-8192(pISSN)
  • /
  • 2288-2227(eISSN)
한국해안·해양공학회 (Korean Society of Coastal and Ocean Engineers)
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한국 연안 평균 해수면 자료의 공간 상관관계 분석

Spatial Correlation Analysis of the Mean Sea Level Data Sets in the Coastal Seas, Korea

  • 조홍연 (한국해양과학기술원 해양빅데이터센터) ;
  • 정신택 (원광대학교 토목환경공학과) ;
  • 이욱재 (원광대학교 토목환경공학과)
  • Cho, Hong-Yeon (Marine Bigdata Center, Korea Institute of Ocean Science and Technology, University of Science and Technology) ;
  • Jeong, Shin Taek (Department of Civil and Environmental Engineering, Wonkwang University) ;
  • Lee, Uk Jae (Department of Civil and Environmental Engineering, Wonkwang University)
  • 투고 : 2019.12.10
  • 심사 : 2020.02.21
  • 발행 : 2020.02.28
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초록

우리나라 모든 조위관측소의 평균 해수면 자료의 기본 정보를 검토하고, 지점간의 상관관계 분석을 수행하였다. 광역적인 기후변화 영향으로 예상되는 평균 해수면 변화는 모든 지점 사이에서 지점간 거리와 무관하게 0.75 이상의 높은 상관을 보이는 것으로 파악되었다. 어떤 특정 지점간의 자료에 대해서는 음의 상관관계 및 0.25 이하의 낮은 상관관계를 보이는 것으로 파악되었으나, 이는 자료의 개수 및 이상자료의 영향으로 판단된다. 그러나 이러한 상관관계는 선형 증가 및 선형 관계를 가정하고 있기 때문에 이 가정에서 벗어나는 변동 추세를 가진 자료의 경우 추정결과가 왜곡될 수 있다. 모든 조위관측소 MSL 자료의 변동 양상 및 추세를 분석한 결과, 상당한 자료에서 선형 가정이 한계가 있는 것으로 파악되었다.

The basic information of mean sea level data of all tidal monitoring stations in Korea was reviewed, and the correlation coefficients between the stations were analyzed. Mean sea level changes expected due to global climate change effects were found to show a high correlation of more than 0.75 regardless of the distance between the stations were analyzed. The data between certain stations were found to have negative correlation and low correlation of 0.25 or less, but this was determined by the influence of small data numbers and outliers. However, since these correlations assume a linear increase and a linear relationship, the estimation results may be distorted for data with fluctuating trends that deviate from this assumption. Based on the results of the changing patterns of the MSL data, it shows that a number of the MSL data do not follow the linear trend.

키워드

참고문헌

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