中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved nightlight-based method for modeling urban CO2 emissions

文献类型:期刊论文

作者Han, Ji2,3; Meng, Xing4; Liang, Hanwei5; Cao, Zhi6,7; Dong, Liang1,8; Huang, Cheng4
刊名ENVIRONMENTAL MODELLING & SOFTWARE
出版日期2018-09-01
卷号107页码:307-320
关键词Urban CO2 emissions Nighttime light Panel-data regression Yangtze river delta
ISSN号1364-8152
DOI10.1016/j.envsoft.2018.05.008
通讯作者Han, Ji(jhan@re.ecnu.edu.cn)
英文摘要An accurate modeling of urban CO2 emissions is important for understanding the dynamics of carbon cycle and for designing low-carbon policies. We develop an improved nightlight-based method to model urban CO2 emissions and investigate their spatiotemporal patterns. Differing from the previous methods, in processing the pre-modeling data, we bring forward the existing CO2 inventories from national and provincial levels to city level, and correct the saturation and blooming problems of nightlight. In modeling the correlation between nightlight and statistically accounted CO2 emissions, we highlight a panel-data regression analysis that considers the spatiotemporal heterogeneity across cities and over time simultaneously. Eleven cities in Yangtze River Delta of China were selected for a case study testing our method. The internal and external validations have proven the predominance of our proposed method for capturing the nightlight-CO2 correlation, and for describing the spatial distribution and heterogeneity of urban CO2 emissions.
WOS关键词NIGHTTIME SATELLITE IMAGERY ; CHINA ROAD TRANSPORT ; CARBON EMISSIONS ; LIGHT DATA ; SHANGHAI ; DYNAMICS ; INVENTORIES ; CONSUMPTION ; SATURATION ; LUMINOSITY
资助项目National Key R&D Program of China[2017YFC0505703] ; National Key R&D Program of China[2016YFA0602802] ; National Natural Science Foundation of China[41401638] ; Ministry of Education in China Project of Humanities and Social Sciences[14YJAZH028] ; Shanghai Philosophy of Social Sciences Planning Project[2014BCK001] ; Startup Foundation for Introducing Talent of NUIST[2243141501003-2015r003] ; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration of China[SHUES2015A04] ; project of Smart Industrial Parks (SIPs) in China: towards Joint Design and Institutionalization[467-14-003] ; National Social Science Foundation[15ZDB163]
WOS研究方向Computer Science ; Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000439567900024
出版者ELSEVIER SCI LTD
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Ministry of Education in China Project of Humanities and Social Sciences ; Shanghai Philosophy of Social Sciences Planning Project ; Startup Foundation for Introducing Talent of NUIST ; Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration of China ; project of Smart Industrial Parks (SIPs) in China: towards Joint Design and Institutionalization ; National Social Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/130027]  
专题中国科学院地理科学与资源研究所
通讯作者Han, Ji
作者单位1.Natl Inst Environm Studies, Ctr Social & Environm Syst Res, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan
2.IEC, 3663 N Zhongshan Rd, Shanghai 200062, Japan
3.East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Sch Ecol & Environm Sci, Shanghai 200041, Peoples R China
4.East China Normal Univ, Sch Geog Sci, Shanghai 200041, Peoples R China
5.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China
7.Univ Southern Denmark, Dept Chem Engn Biotechnol & Environm Technol, SDU Life Cycle Engn, Campusvej 55, DK-5230 Odense M, Denmark
8.Leiden Univ, Inst Environm Sci, CML, Einsteinweg 2, NL-2333 CC Leiden, Netherlands
推荐引用方式
GB/T 7714
Han, Ji,Meng, Xing,Liang, Hanwei,et al. An improved nightlight-based method for modeling urban CO2 emissions[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2018,107:307-320.
APA Han, Ji,Meng, Xing,Liang, Hanwei,Cao, Zhi,Dong, Liang,&Huang, Cheng.(2018).An improved nightlight-based method for modeling urban CO2 emissions.ENVIRONMENTAL MODELLING & SOFTWARE,107,307-320.
MLA Han, Ji,et al."An improved nightlight-based method for modeling urban CO2 emissions".ENVIRONMENTAL MODELLING & SOFTWARE 107(2018):307-320.

入库方式: OAI收割

来源:地理科学与资源研究所

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