全球1970-2022年航运碳排放量:格局与演变OA

In this study,we explored the spatiotemporal evolution of global shipping carbon emissions from 1970 to 2022,based on the EDGAR v8.0 dataset and using Theil-Sen Median trend analysis and Mann-Kendall testing.Inland river data and port-specific emission inventories were also used to evaluate carbon contributions from river transport and major global ports.We aimed to provide a scientific founda-tion to transform shipping into a low-carbon industry.Results show:(1)Overall global shipping carbon emissions increased significantly over the study period,reflecting the growth of international trade and economic development.(2)High-emission clusters were concentrated in the coastal areas of Asia,Europe,and North America,particularly in East China,the Strait of Malacca,and the Mediterranean region.(3)A notable decline in shipping carbon emissions occurred during 2019-2020 due to reduced shipping de-mand caused by the COVID-19 pandemic.(4)China accounted for 51.3％of global river transport emis-sions in 2022,driven by its extensive network of inland waterways(8.73x 107t),while carbon emissions in the Russian Northern Sea Route declined persistently over the past 53 years due to environmental risks and rising operational costs.(5)The ports of Singapore emerged as the world's largest emitter,while sev-en Chinese ports,including Hong Kong,Shenzhen and Zhoushan,ranked among the top ten globally.Based on our analysis of spatiotemporal patterns of shipping carbon emissions,we recommend strengthen-ing international cooperation,sharing technologies and information,promoting global carbon reduction,and driving green transformation of the shipping industry in the context of globalization.Going forward,attention should be paid to carbon emission dynamics in the post-pandemic era and the need for high-reso-lution data.This research provides a reference for formulating global shipping carbon reduction policies and offers new opportunities and directions for sustainable development of the global shipping industry.