Journal of Korea Port Economic Association (한국항만경제학회지)

The Korea Port Economic Association (한국항만경제학회)
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A Study on Estimating Ship's Emission in the Port Area of Mokpo Port

목포항 항만구역 내 선박 배기가스 배출량 산정에 대한 연구

  • 부이하이당 ( 목포해양대학교 대학원 해상운송시스템학과) ;
  • 김화영 (목포해양대학교 해사대학 해상운송학부)
  • Received : 2023.08.16
  • Accepted : 2023.09.30
  • Published : 2023.09.30
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Abstract

A thorough inventory of ship emissions, particularly ship's emission of in-port area is necessary to identify significant sources of exhaust gases such as NOx, SOx, PM, and CO2 and trends in emission levels over time, and reduce their serious effects on the environment and human health. Therefore, the goal of this study is to assess the volume of emissions from ships in Mokpo port, which serves as a gateway to the southwest coast of Korea, using a bottom-up methodology and data from the automatic identification system (AIS) and the Korean Port Management Information System (Port-MIS). In this work, an analysis of ship movement utilizing AIS data and an actual set of data on ship specification were gathered. By examining ship movement using AIS data, We also proposed a new approach for identifying cruising/maneuvering mode. Finally, the results were classified by ship operating mode, by exhaust gas, by ship type, and by berth, which provides a thorough and in-depth analysis of the air pollution caused by ships in Mokpo port.

항만구역 내 선박으로부터 배출되는 온실가스, 미세먼지를 포함한 배기가스에 대한 인벤토리 작성과 관리는 선박 배기가스의 주요 배출물질과 시간 경과에 따른 배출량 수준의 추이를 파악하고, 해양환경과 인간 건강에 미치는 부정적 영향을 줄이는 데 필요하다. 따라서 본 연구의 목적은 우리나라 서남권에 있는 국가관리 무역항인 목포항계 내 입출항하는 선박으로부터 배출되는 배기가스를 산정하는데 있다. 이를 위해 선박자동식별장치(AIS)와 해운항만물류정보시스템 (Port-MIS)의 정량적 데이터를 기반으로 선박의 움직임을 분석한 상향식 접근법(Bottom-up 또는 Activity-based)을 이용하였다. 특히 본 연구에서는 최근 4년간(2019~2022년) 목포항 입출항 실적이 있는 선박의 제원, 선종, 재항시간 등의 데이터를 수집하고, AIS 데이터를 이용하여 항만 내 부두 접근 과정을 분석하여 선박 움직임(cruising, maneuvering)을 결정하는 접근 방식을 제시하였다. 주요 연구결과로 최근 4년간 목포항 항만구역 내에서 선박으로부터 배출된 배기가스는 11,409톤이었으며, 자동차전용선이 5,329톤으로 가장 많았고, 정박 중에는 목포 신항 부두에서 1,835톤의 온실가스와 미세먼지가 배출되었다. 이 연구는 목포항의 선박입출항수, 처리 물동량과 더불어 환경적인 측면에서 정보관리를 위한 데이터로 활용될 수 있을 것으로 기대된다.

Keywords

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