Estimating ship emissions based on AIS data for port of Tianjin, China

Dongsheng Chen*, Yuehua Zhao, Peter Nelson, Yue Li, Xiaotong Wang, Ying Zhou, Jianlei Lang, Xiurui Guo

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    62 Citations (Scopus)

    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 × 104, 4.13 × 104, 4.03 × 103, 3.72 × 103, 1.72 × 103 and 3.57 × 103 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 × 106 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.

    Original languageEnglish
    Pages (from-to)10-18
    Number of pages9
    JournalAtmospheric Environment
    Volume145
    DOIs
    Publication statusPublished - 1 Nov 2016

    Keywords

    • Ship emissions
    • Automatic identification system
    • Tianjin port

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