Evaluation of Exhaust Gas Emissions Using Spatiotemporal Analysis Based on Maritime Big Data

Jo D.-J.; Kim Y.-J.; Lee J.-S., and Cho I.-S., 2023. Evaluation of exhaust gas emissions using spatiotemporal analysis based on Maritime Big Data. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 508-512. Charlotte (North Carolina), ISSN 0749-0208. In the present study, emissions from sailing ships in target areas were analyzed using automatic identification system data and calculated using occupancy time on grid cells and emissions per hour. To calculate emissions from ships more precisely, emission cases were divided according to ship speed and length. Factors for the calculation of emissions from ships were organized according to cases, the so-called emission matrix, and worst case was identified. As a result of analysis, emissions were concentrated in the port area. To reduce emissions in port areas, South Korea has designated mandatory SOx emission control areas, requiring the use of 0.1% sulfur fuel by ships in specified regions. In addition to port areas, Emissions in coastal areas must be monitored, because overall emissions were higher in coastal areas than in port areas. To instill eco-friendly trends in the global shipping industry, emissions in coastal areas were calculated, and the impact of expansion emission control areas from port to coastal areas were confirmed using geographical information system.