• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.203-205
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• 2019

최근 국제 운송에 큰 부분을 차지하는 해상운송에서의 오염물질 배출이 큰 논란이 되고 있다. 이 연구에서는 고속·대형의 컨테이너선, 크루즈, 여객선, 기타선 등이 기항하는 부산북항을 대상으로 선박의 배출물질을 계산하였다. 선박 대기오염물질 산정을 위해서는 선박의 활동 정보와 배출물질 계산에 활용할 선박 마력 정보가 필요하다. 먼저 AIS를 이용하여 선박 활동정보를 수집하고, 선박 마력은 선박 특성이 뚜렷한 컨테이너선과 탱커선의 제원을 DB화하여 추정하였다. 선박의 배출물질을 산정할 수 있는 추정 알고리즘을 개발하고 이를 이용하여 황산화물, 질소산화물, 입자상물질, 휘발성유기화합물의 배출물질을 계산한 결과 각각 48.3%, 42.5%, 5.4%, 3.8%의 비율로 산출되었다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.4
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• pp.1251-1259
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• 2014

This study presents the linkage method combining the existing Port Management Information System (PORT-MIS) DB with the scattered vessel activity data sets including the hotelling and maneuvering characteristics and specification information of the vessels arriving and departing from the port of Busan from January 2009 to June 2010. By linking the data sets, this study made three types of vessel activity databases: L-PORT-MIS DB with low-level vessel activities, M-PORT-MIS DB with medium-level vessel activities such as hotelling time, H-PORT-MIS DB with high-level vessel activities such as hotelling time, engine power, etc. The greenhouse gas (GHG) emissions estimation results show that total GHG emissions decreases when the detailed vessel activities are employed. This decrease in the total GHG emissions by the level of vessel activities implies that the GHG emissions from the low and medium level vessel activities are overestimated due to the aggregated hotelling/maneuvering times and speeds resulting from the past vessel specifications. Therefore, the GHG emissions using the H-PORT-MIS DB are more reliable GHG emission estimates in that the vessel specifications and the observed hotelling time of each vessel are employed in the estimation process. Hence, the high-level vessel activity dataset should be constructed to implement more suitable countermeasures for reducing the GHG emissions in the port of Busan.