船舶动态驱动的碳排放时空分布规律

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Abstract AIS trajectory data from container ships in 2018 is leveraged and a bottom-up approach is adopted to comprehensively understand the CO₂ emissions of these vessels. The global monthly spatial distribution map of CO₂ emissions from container ships is achieved through the coordinated analysis of ship emission data and world maps through the fundamental theories and techniques of Geographic Information Science. The intricate spatiotemporal patterns of CO₂ emissions, coupled with a detailed exploration of emissions along major shipping routes. The findings underscore that the annual CO₂ emissions from container ships amounted to 123.55million tons in 2018, with the highest emissions occurring in January and the lowest in November, indicative of pronounced temporal variations. Monthly emissions demonstrate a generally consistent spatial distribution, concentrating predominantly near coastlines and major routes.

Key words： container ships CO₂ emissions AIS trajectory spatiotemporal patterns

Received: 20 July 2023

PACS:

X511

Corresponding Authors: 余红楚,特设教授,hcyu@whut.edu.cn;刘敬贤,教授,ljxteacher@sohu.com E-mail: hcyu@whut.edu.cn;ljxteacher@sohu.com

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	YU Hong-chu
	FANG Qing-long
	FANG Zhi-xiang
	LIU Jing-xian

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YU Hong-chu,FANG Qing-long,FANG Zhi-xiang等. Exploring the spatiotemporal distribution patterns of carbon emissions driven by massive ship trajectory data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(3): 1769-1776.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I3/1769

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