Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port

doi:10.3389/fmars.2023.1174411

	Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port
	Li, Yong 1; Xie, Wenxin 1; Yang, Yang 2; Mei, Qiang 2,3; Wang, Zhishan 1; Li, Zhaoxuan 1; Wang, Peng 3,4
	2023-06-21
发表期刊	FRONTIERS IN MARINE SCIENCE
卷号	10 页码:19
摘要	IntroductionIn recent years, the adverse effects of escalating maritime trade and international shipping- particularly in regard to increased greenhouse gas emissions and their impact on human health- have come to the fore. These issues have thus instigated a surge in pressure to enhance the regulation of shipborne carbon emissions. MethodsThe study utilized the automatic identification system (AIS) data, Lloyd's register data, and pollutant emission parameters to calculate the carbon emissions from the main engine, auxiliary engine, and boiler of vessels under varying sailing conditions, utilizing the dynamic method of ships. In relation to geographic information and ship trajectory, a comprehensive inventory of ship carbon emissions was developed, revealing pronounced spatiotemporal characteristics. To assure the accuracy of the substantial AIS dataset, procedures including data cleaning, trajectory integration, data fusion, and completion were executed. Such processes are indispensable, given the potential for transmission and storage errors associated with AIS data. To forecast CO2 emissions over diverse time intervals, a temporal fusion transformer model equipped with attention mechanisms was employed. ResultThe paper furnishes a case study on Tianjin Port, wherein a high-resolution carbon emissions inventory was devised based on AIS data acquired from vessels. This inventory was subsequently employed to generate multi-feature predictions of future carbon emissions. Given the optimal parameter configuration, the proposed method attained P-50 and P-90 values of 0.244 and 0.118 respectively, thereby demonstrating its efficacy. DiscussionRecognizing the sources of ship carbon emissions in this region and forecasting such emissions in the future substantiates that this method accurately portrays the laws of ship carbon emissions. Our study provides a scientific basis for decision-making in port and pollution management, enabling the creation of targeted emission reduction policies for ships.
关键词	ship pollutant carbon emissions inventory Tianjin Port AIS transformer forecast CO2 emissions
DOI	10.3389/fmars.2023.1174411
收录类别	SCI
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology
WOS类目	Environmental Sciences ; Marine & Freshwater Biology
WOS记录号	WOS:001019440700001
出版者	FRONTIERS MEDIA SA
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21244
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Mei, Qiang; Wang, Peng
作者单位	1.Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China 2.Jimei Univ, Nav Inst, Xiamen, Peoples R China 3.Shanghai Maritime Univ, Merchant Marine Acad, Shanghai, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Yong,Xie, Wenxin,Yang, Yang,et al. Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port[J]. FRONTIERS IN MARINE SCIENCE,2023,10:19.
APA	Li, Yong.,Xie, Wenxin.,Yang, Yang.,Mei, Qiang.,Wang, Zhishan.,...&Wang, Peng.(2023).Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port.FRONTIERS IN MARINE SCIENCE,10,19.
MLA	Li, Yong,et al."Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port".FRONTIERS IN MARINE SCIENCE 10(2023):19.