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

文献类型：期刊论文

作者Li, Yong4; Xie, Wenxin4; Yang, Yang1; Mei, Qiang1,2; Wang, Zhishan4; Li, Zhaoxuan4; Wang, Peng2,3
刊名FRONTIERS IN MARINE SCIENCE
出版日期2023-06-21
卷号10页码:19
关键词ship pollutant carbon emissions inventory Tianjin Port AIS transformer forecast CO2 emissions
DOI10.3389/fmars.2023.1174411
英文摘要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.
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology
语种英语
WOS记录号WOS:001019440700001
出版者FRONTIERS MEDIA SA
源URL[http://119.78.100.204/handle/2XEOYT63/21243]  
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.Jimei Univ, Nav Inst, Xiamen, Peoples R China
2.Shanghai Maritime Univ, Merchant Marine Acad, Shanghai, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
4.Beijing Univ Technol, Fac Informat 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.

入库方式： OAI收割

来源：计算技术研究所

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