The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY (한국해양학회지:바다)

The Korean Society of Oceanography (한국해양학회)
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Methodology on e-Navigation-Assisted Ocean Monitoring and Big Data Analysis

이내비게이션을 활용한 해양환경관측 및 빅데이터 분석방안

  • LEE, GUAN-HONG (Department of Oceanography, Inha University) ;
  • PARK, JAE-HUN (Department of Oceanography, Inha University) ;
  • HA, HO KYUNG (Department of Oceanography, Inha University) ;
  • KIM, DO WAN (Department of Mathematics, Inha University) ;
  • LEE, WOOJOO (Department of Statistics, Inha University) ;
  • KIM, HONGTAE (Maritime Safety & Environmental Research Division, KRISO) ;
  • SHIN, HYUN-JUNG (Department of Oceanography, Inha University)
  • 이관홍 (인하대학교 해양과학과) ;
  • 박재훈 (인하대학교 해양과학과) ;
  • 하호경 (인하대학교 해양과학과) ;
  • 김도완 (인하대학교 수학과) ;
  • 이우주 (인하대학교 통계학과) ;
  • 김홍태 (선박해양플란트연구소 해양안전환경연구본부) ;
  • 신현정 (인하대학교 해양과학과)
  • Received : 2017.10.03
  • Accepted : 2018.11.28
  • Published : 2018.11.30
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Abstract

This study proposes a cost-effective method to monitor coastal environments using e-Navigation-implemented domestic and international ferries, and to analyze big data of records such as wind, temperature, salinity, waves, and currents that are gathered through e-Navigation system. First, we present the concept and architecture of e-Navigation operation system based on the General Information Center on Maritime Safety and Security. Then, the marine observation system that can be applied to ferries operating in our nation's territory is discussed. Analytical methods, such as spatio-temporal mixed effects model, ensemble method, and meshfree method, in handling real-time big data obtained by the e-Navigation observing system are then explained in detail. This study will support the implementation of the Korean e-Navigation project that focuses on the safety of small vessels such as coasters and fishing vessels.

본 연구에서는 이내비게이션 시스템이 장착된 연안 및 국제여객선을 활용하여 효율적으로 해양환경관측을 실시하고 관측된 해양 환경 빅데이터를 분석할 수 있는 방안을 제시하였다. 먼저, 이내비게이션 시스템과 운영 개념을 소개하고, 우리나라 연안의 해양환경모니터링 현황을 개괄한 후, 기존 관측망의 단점을 보완하고 장점을 강화할 수 있도록 이내비게이션을 활용한 해양환경모니터링 관측방법과 관측요소(기상, 물성, 유속 및 수심)를 제안하였다. 또한, 이내비게이션 시스템이 장착된 여객선에서 관측한 자료를 실시간으로 분석하는 시공간 혼합효과모형, 앙상블기법 및 무요소기법과 같은 해양빅데이터 분석 기법을 제안하였다. 본 연구는 연안 선박과 소형어선에 중점을 둔 한국형 이내비게이션 추진에 도움이 될 것으로 기대한다.

Keywords

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Fig. 1. KHOA real-time oceanographic observation networks and monitoring stations.

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Fig. 2. NIFS oceanographic observation networks and monitoring stations.

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Fig. 3. KMO oceanographic observation networks and monitoring stations.

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Fig. 4. Routes of domestic ferries(A) and international ferries(B).

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Fig. 5. Routes of domestic and international ferries overlaid to oceanographic observation stations.

Table 1. List of e-Navigation MSPs

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Table 2. Observation elements of KHOA real-time oceanographic observation networks

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Table 3. Monitoring elements of NIFS oceanographic observations (NOS)

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Table 4. Monitoring elements of KMO oceanographic observation networks

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