Ship exhaust emission estimation and analysis using Automatic Identification System data: The west area of Shenzhen port, China, as a case study

Gan，Langxiong1,2; Che，Wanyu1; Zhou，Minggui3; Zhou，Chunhui1,2; Zheng，Yuanzhou1,2; Zhang，Lei1,2; Rangel-Buitrago，Nelson4; Song，Lan5

2022-07-01

10.1016/j.ocecoaman.2022.106245

OCEAN & COASTAL MANAGEMENT   影响因子和分区

0964-5691

1873-524X

In recent years, ship exhaust gases have become an essential source of air pollution. A detailed study of ship exhaust emissions can accurately reflect air pollution intensity in ports with high waterborne traffic. In this paper, ship exhaust emissions in 2018 in the west area of Shenzhen port are estimated based on ship AIS data and fitting results between ship characteristics, including ship length, engines' power, gross tonnage, and maximum speed. This research reveals the emission distributions according to different ship types, months, and operation conditions. The results showed that the contribution rate of exhaust emissions of cargo ships and container ships is at the forefront, In contrast, ship emissions in hotelling and normal cruising are more significant than those in maneuvering and slow steaming conditions. The results presented in this research provide a basis for developing emission reduction measures in port area management and provide relevant experience to other world port areas.

Ship exhaust emission Ship AIS data Ship emission estimation model Emission distribution Emission reduction measures

SCI ; EI

英语

通讯

National Natural Science Foundation of China ?["51979215","52171350"]

Oceanography ; Water Resources

Oceanography ; Water Resources

WOS:000822987800005

ELSEVIER SCI LTD

20222712329160

Air pollution ; Automation ; Emission control ; Exhaust gases ; Water pollution

Air Pollution:451 ; Air Pollution Sources:451.1 ; Air Pollution Control:451.2 ; Water Pollution:453 ; Automatic Control Principles and Applications:731

ENVIRONMENT/ECOLOGY

2-s2.0-85133423475

Web of Science

1.School of Navigation,Wuhan University of Technology,Wuhan,430063,China
2.Hubei Key Laboratory of Inland Shipping Technology,Wuhan,430063,China
3.China Institute of Marine Technology & Economy,Beijing,100081,China
4.Programas de Física y Biologia,Facultad de Ciencias Básicas,Universidad del Atlántico,Barranquilla,Atlántico,Colombia
5.Shenzhen Institute of Sustainable Development,Southern University of Science and Technology,Shenzhen,518055,China

Gan，Langxiong,Che，Wanyu,Zhou，Minggui,et al. Ship exhaust emission estimation and analysis using Automatic Identification System data: The west area of Shenzhen port, China, as a case study[J]. OCEAN & COASTAL MANAGEMENT,2022,226.

Gan，Langxiong.,Che，Wanyu.,Zhou，Minggui.,Zhou，Chunhui.,Zheng，Yuanzhou.,...&Song，Lan.(2022).Ship exhaust emission estimation and analysis using Automatic Identification System data: The west area of Shenzhen port, China, as a case study.OCEAN & COASTAL MANAGEMENT,226.

Gan，Langxiong,et al."Ship exhaust emission estimation and analysis using Automatic Identification System data: The west area of Shenzhen port, China, as a case study".OCEAN & COASTAL MANAGEMENT 226(2022).