Evaluation of Exhaust Gas Emissions Using Spatiotemporal Analysis Based on Maritime Big Data
SCOPUS
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Title
- Evaluation of Exhaust Gas Emissions Using Spatiotemporal Analysis Based on Maritime Big Data
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Author(s)
- Jo, Dong June; Kim, Yoon Ji; Lee, Jeongseok; Cho, Ik Soon
- KIOST Author(s)
- Lee, Jeongseok(이정석)
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Alternative Author(s)
- 이정석
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Publication Year
- 2024-01
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Abstract
- 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.
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ISSN
- 0749-0208
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/45262
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Bibliographic Citation
- Journal of Coastal Research, v.116, no.sp1, pp.508 - 512, 2024
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Publisher
- Coastal Education & Research Foundation, Inc.
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Keywords
- Exhaust gas emission; spatiotemporal analysis; grid cell; Geographical Information System (GIS); IMO 2020; Emission Control Area (ECA); coastal visualization; emission map
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Type
- Article
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Language
- English
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