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Carbon flow through continental-scale ground logistics transportation

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成果类型:
期刊论文
作者:
Cui, Haotian;Lu, Yonglong;Zhou, Yunqiao;He, Guizhen;Song, Shuai;...
通讯作者:
Yonglong Lu
作者机构:
[Cui, Haotian; Lu, Yonglong] Xiamen Univ, State Key Lab Marine Environm Sci, Minist Educ Coastal Wetland Ecosyst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China.
[Cui, Haotian; Lu, Yonglong] Xiamen Univ, Key Lab, Minist Educ Coastal Wetland Ecosyst, Coll Environm & Ecol, Xiamen 361102, Fujian, Peoples R China.
[Du, Di; Yi, Xiaojie; Cui, Haotian; Wang, Rui; Han, Guoxiang; Song, Shuai; Lu, Yonglong; He, Guizhen; Yang, Shengjie] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
[Du, Di; Yi, Xiaojie; Cheng, Yinyi; Cui, Haotian; Wang, Rui; Han, Guoxiang; Wang, Siyu; Song, Shuai; He, Guizhen] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
[Zhou, Yunqiao] Chinese Acad Sci, State Key Lab Tibetan Plateau Earth Syst Resource, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China.
通讯机构:
[Yonglong Lu] S
State Key Laboratory of Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China<&wdkj&>State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
语种:
英文
关键词:
Energy Modeling;Energy management;Energy policy;Energy resources
期刊:
iScience
ISSN:
2589-0042
年:
2023
卷:
26
期:
1
页码:
105792
基金类别:
Funding: This study was supported by the National Natural Science Foundation of China (Grant No. 71761147001 , No. 42030707 ), the National Key R&D Program of China ( 2019YFC0507505 ), International Partnership Program by the Chinese Academy of Sciences ( 121311KYSB20190029 ), and the Fundamental Research Fund for the Central Universities (No. 20720210083 ). We are grateful to G7 Company for generous provision of basic logistics data.
机构署名:
本校为其他机构
院系归属:
城市与环境科学学院
摘要:
The flourishing logistics in both developed and emerging economies leads to huge greenhouse gas (GHG) emissions; however, the emission fluxes are poorly constrained. Here, we constructed a spatial network of logistic GHG emissions based on multisource big data at continental scale. GHG emissions related to logistics transportation reached 112.14 Mt CO2-equivalents (CO2e), with seven major urban agglomerations contributing 63% of the total emissions. Regions with short transport distances and well-developed road infrastructure had relatively hig...

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