Utilization of vessel automatic identification system (AIS) to estimate the emission of air pollutant from merchant vessels in a Port Area

Ta Kang Liu, Haw Yang Sheu, Yen Ting Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Vessel-source air pollution may have a major impact on the marine environment and ecosystem. In this study, a method based on vessel activity intensity was adopted to estimate the emission of air pollutants generated by the consumption of fuel oils from merchant vessels in the Port of Kaohsiung in 2013. The vessel activities were determined by using the vessel automatic identification system (AIS) to track vessel traffic and position and to calculate the corresponding emission of air pollutants based on three types of vessel activities: sailing, maneuvering, and hotelling. The results were then used to explore management strategies for controlling vessel-source emissions of air pollutants.

Original languageEnglish
Title of host publicationMTS/IEEE OCEANS 2015 - Genova
Subtitle of host publicationDiscovering Sustainable Ocean Energy for a New World
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479987368
DOIs
Publication statusPublished - 2015 Sep 17
EventMTS/IEEE OCEANS 2015 - Genova - Genova, Italy
Duration: 2015 May 182015 May 21

Publication series

NameMTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World

Other

OtherMTS/IEEE OCEANS 2015 - Genova
CountryItaly
CityGenova
Period15-05-1815-05-21

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Oceanography

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