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Author:

Wang, Peng (Wang, Peng.) | Hu, Qinyou (Hu, Qinyou.) | Xie, Wenxin (Xie, Wenxin.) | Wu, Lin (Wu, Lin.) | Wang, Fei (Wang, Fei.) | Mei, Qiang (Mei, Qiang.)

Indexed by:

EI Scopus SCIE

Abstract:

As Chi na's shipping industry continues to develop, ship emissions have become a significant source of pollutants. Consequently, it has become imperative to comprehend accurately the nature and attributes of ship pollutant emissions and understand their causation and effect as a crucial aspect of pollution control and legislation. This paper employs high-precision automatic identification system (AIS) dynamic and static data, along with pollutant emission parameters, to estimate the pollutant emissions from a ship's main engine, auxiliary engine, and boiler using a dynamic approach. Additionally, the study considers the sailing state and trajectory of the vessel and analyzes the characteristics of ship carbon emissions. Taking Tianjin Port as an example, this study conducts a multi-dimensional analysis of pollutant emissions to gain insight into the causation and effect of pollutants based on the collected big AIS data. The results show that the pollutant emissions in this region are mainly concentrated in the vicinity of Tianjin Port land port area, Dagusha Channel, and the Main Shipping Channel of Tianjin Xingang Fairway. Carbon emissions peak in September and are lower in June and December. Through accurate analysis of pollutant emission sources and emission characteristics in the region, this paper establishes the regular relationship between pollutant emissions and possible influencing factors and provides data support for China to formulate accurate pollutant emission reduction policies and regulate ship construction technology and carbon trading.

Keyword:

Automatic identification system (AIS) Data mining Ship pollutants Marine environment protection

Author Community:

  • [ 1 ] [Wang, Peng]Shanghai Maritime Univ, Merchant Marine Acad, Shanghai 200210, Peoples R China
  • [ 2 ] [Hu, Qinyou]Shanghai Maritime Univ, Merchant Marine Acad, Shanghai 200210, Peoples R China
  • [ 3 ] [Mei, Qiang]Shanghai Maritime Univ, Merchant Marine Acad, Shanghai 200210, Peoples R China
  • [ 4 ] [Wang, Peng]Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
  • [ 5 ] [Wu, Lin]Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
  • [ 6 ] [Wang, Fei]Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
  • [ 7 ] [Xie, Wenxin]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 8 ] [Mei, Qiang]Jimei Univ, Xiamen 361021, Peoples R China

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Source :

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

ISSN: 0944-1344

Year: 2023

Issue: 27

Volume: 30

Page: 71103-71119

5 . 8 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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