吨位
端口(电路理论)
环境科学
自动识别系统
海洋工程
污染
气象学
工程类
海洋学
计算机科学
地理
地质学
生态学
实时计算
电气工程
生物
作者
Gan Liu,Wanyu Che,Mengyang Zhou,Chunhui Zhou,Yuanzhou Zheng,Lei Zhang,Nelson Rangel-Buitrago,Lan Song
标识
DOI:10.1016/j.ocecoaman.2022.106245
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI