Estimating ship emissions based on AIS data for port of Tianjin, China. (November 2016)

• Record Type: Journal Article
• Authors: Chen, Dongsheng; Zhao, Yuehua; Nelson, Peter; Li, Yue; Wang, Xiaotong; Zhou, Ying; Lang, Jianlei; Guo, Xiurui
• Is Part Of: Atmospheric environment. Volume 145(2016)
• Page Start: 10
• Page End: 18
• Publication Date: 2016-11
• Subjects: Ship emissions -- Automatic identification system -- Tianjin port; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2016.08.086
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: A detailed exhaust emission inventory of ships by using Automatic Identification System (AIS) data was developed for Tianjin Port, one of the top 10 world container ports and the largest port in North China. It was found that in 2014, ship emissions are 2.93 × 10 4, 4.13 × 10 4, 4.03 × 10 3, 3.72 × 10 3, 1.72 × 10 3 and 3.57 × 10 3 tonnes of SO2, NOx, PM10, PM2.5, NMVOC and CO respectively, which are equivalent to 11.07%, 9.40%, 2.43%, 3.10%, 0.43% and 0.16% respectively of the non-ship anthropogenic totals in Tianjin. The total CO2 emissions is approximately 1.97 × 10 6 tonnes. The container ships and dry bulk cargo ships contributed about 70% of the total ship emissions of NOx, SO2 and PM10 . Pollutants were mainly emitted during cruise and hotelling modes, and the highest intensities of emissions located in the vicinity of fairways, berth and anchorage areas in Tianjin Port. Distinctive difference between the lowest (February) and the highest (September) monthly emissions is due to the adjustment of freight volume during the Chinese New Year and the months before and after it. Highlights: First ship emission inventory with high temporal-spatial resolution in Tianjin Port. Nearly all identified vessels equipped with AIS were included in the calculation. Detailed spatial distribution and monthly variation of ship emissions were presented.