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Mapping spatiotemporal variations of CO2 (carbon dioxide) emissions using nighttime light data in Guangdong Province
Cui, Xiaolin1; Lei, Yutong1; Zhang, Fan2,3; Zhang, Xueyan2,3; Wu, Feng2,3
2019-04-01
Source PublicationPHYSICS AND CHEMISTRY OF THE EARTH
ISSN1474-7065
Volume110Pages:89-98
Corresponding AuthorLei, Yutong(16210012015@stu.xust.edu.cn)
AbstractIndustrialization and urbanization in China have resulted in a substantial increase in carbon emissions. Spatial and temporal analyses of the carbon emission inventory have become very necessary to policymaking and management. This study corrected inconsistency and uncontinuity of nighttime light (NTL) data based on stable light value pixels, and performed a distribute model of CO2 emissions in Guangdong province during the period of 2005-2013. The model results clearly showed the spatial and temporal variations of CO2 emissions during 2005-2013 in Guangdong, with the Pearl River Delta region contributing the highest CO2 emissions. These results are relevant for understanding the spatiotemporal CO2 emission dynamics at a county level and establishing policies for carbon emission mitigation. This research highlights the importance of spatial spillovers, suggesting that future policies need to encourage inter-regional resource sharing, promote cooperation to ensure energy conservation and emission reductions, and optimize the distribution of urban areas.
KeywordCO2 emissions Spatiotemporal variations Nighttime light Gridded population data
DOI10.1016/j.pce.2019.01.007
WOS KeywordENERGY-CONSUMPTION ; CHINA ; DYNAMICS ; LEVEL ; URBANIZATION ; POPULATION ; IMAGERY ; GROWTH ; MODEL
Indexed BySCI
Language英语
Funding ProjectNational natural science foundation of international (regional) cooperation and exchange programs[71561137002] ; state key program of National Natural Science Foundation of China[71533004]
Funding OrganizationNational natural science foundation of international (regional) cooperation and exchange programs ; state key program of National Natural Science Foundation of China
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000468920500010
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59332
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLei, Yutong
Affiliation1.Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Cui, Xiaolin,Lei, Yutong,Zhang, Fan,et al. Mapping spatiotemporal variations of CO2 (carbon dioxide) emissions using nighttime light data in Guangdong Province[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2019,110:89-98.
APA Cui, Xiaolin,Lei, Yutong,Zhang, Fan,Zhang, Xueyan,&Wu, Feng.(2019).Mapping spatiotemporal variations of CO2 (carbon dioxide) emissions using nighttime light data in Guangdong Province.PHYSICS AND CHEMISTRY OF THE EARTH,110,89-98.
MLA Cui, Xiaolin,et al."Mapping spatiotemporal variations of CO2 (carbon dioxide) emissions using nighttime light data in Guangdong Province".PHYSICS AND CHEMISTRY OF THE EARTH 110(2019):89-98.
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