Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data

doi:10.1016/j.ecolind.2021.108132

	Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data
	Wei, Wei 4; Zhang, Xueyuan 1,4; Cao, Xiaoyan 4; Zhou, Liang 2,3; Xie, Binbin 5; Zhou, Junju 4; Li, Chuanhua 4
刊名	ECOLOGICAL INDICATORS
	2021-11-01
卷号	131 页码:16
关键词	CO2 emission Nighttime light imagery Land use data Spatiotemporal analysis Mainland China
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2021.108132
通讯作者	Zhang, Xueyuan(zxygis@126.com) ; Cao, Xiaoyan(1289561127@qq.com)
英文摘要	It is difficult to accurately estimate the spatial distribution of carbon dioxide (CO2) at the grid scale because of the lack of city-level statistical data. In this paper, CO2 emission regions were devided into urban area, industrial area and rural area in order to accurately calculate CO2 emissions. In addition, a more accurate calculation model for energy-related CO2 emissions was proposed through integrating nighttime light datasets and land use data. The maps of estimated CO2 emissions in different regions were compared and examined through using spatial dependence and grid overlay methods to understand the spatial distribution characteristics and spatiotemporal dynamics of CO2 emissions in China. The results showed that the model proposed in this study was appropriate and reliable for CO2 emissions not only in urban and rural areas but also in industrial areas. CO2 emissions in China were mainly concentrated in the coastal areas and the northern area, and the amount of carbon emissions increased rapidly from 2000 to 2018 in the Middle Yellow River. These results could improve the understanding of regional discrepancies of spatiotemporal CO2 emission dynamics at gride scale, and provide a scientific reference for the formulation of energy conservation and emission reduction policies by the local government.
资助项目	National Natural Science Foundation of China[41861040] ; National Natural Science Foundation of China[41761047] ; National Natural Science Foundation of China[41501176] ; Natural Science Foundation of Gansu Province[1506RJZA129]
WOS关键词	CARBON-DIOXIDE EMISSIONS ; GROSS DOMESTIC PRODUCT ; LIGHT DATA ; URBANIZATION DYNAMICS ; DRIVING FORCES ; COUNTY-LEVEL ; CONSUMPTION ; SCALES ; CITIES ; MODEL
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000703715800009
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Gansu Province
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/165937]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Xueyuan; Cao, Xiaoyan
作者单位	1.Lanzhou Univ, Coll Earth & Environm Sci, 222 Tianshui South Rd, Lanzhou 730000, Peoples R China 2.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China 5.Lanzhou City Univ, Sch Urban Econ & Tourism Culture, Lanzhou 730070, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wei, Wei,Zhang, Xueyuan,Cao, Xiaoyan,et al. Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data[J]. ECOLOGICAL INDICATORS,2021,131:16.
APA	Wei, Wei.,Zhang, Xueyuan.,Cao, Xiaoyan.,Zhou, Liang.,Xie, Binbin.,...&Li, Chuanhua.(2021).Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data.ECOLOGICAL INDICATORS,131,16.
MLA	Wei, Wei,et al."Spatiotemporal dynamics of energy-related CO2 emissions in China based on nighttime imagery and land use data".ECOLOGICAL INDICATORS 131(2021):16.