Spatiotemporal variations of urban CO2 emissions in China: A multiscale perspective

被引:124
作者
Shi, Kaifang [1 ]
Chen, Yun [2 ]
Li, Linyi [3 ]
Huang, Chang [4 ]
机构
[1] Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing 400715, Peoples R China
[2] CSIRO Land & Water, Canberra, ACT 2601, Australia
[3] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei, Peoples R China
[4] Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Shaanxi, Peoples R China
关键词
Urban CO2 emissions; Spatiotemporal variations; DMSP-OLS; Multiscale analysis; China; CARBON-DIOXIDE EMISSIONS; ELECTRIC-POWER CONSUMPTION; NIGHTTIME LIGHT IMAGERY; ENERGY-CONSUMPTION; IMPERVIOUS SURFACES; EMPIRICAL-ANALYSIS; ECONOMIC-GROWTH; CLIMATE-CHANGE; DYNAMICS; LEVEL;
D O I
10.1016/j.apenergy.2017.11.042
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Timely and accurate understanding of spatiotemporal variations of urban CO2 emissions is important in the interaction between human activities and the environment. However, studies that consider spatiotemporal variations of urban CO2 emissions at multiple scales are still lacking. In this study, we combined the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) nighttime light images, statistical energy consumption data, and urban area data to assess spatiotemporal variations of urban CO2 emissions in China from national scale down to regional and urban agglomeration scales between 1997 and 2012. The results reveals that China has been experiencing strikingly spatiotemporal variations of urban CO2 emissions during the study period. At the national scale, urban areas that experienced High-growth of CO2 emissions accounted for 22.16% of the total urban areas in 2012. High-growth of urban CO2 emissions covered 18.09% of the total urban areas in the eastern region. Relatively-high-growth of urban CO2 emissions accounted for 46.14% of the total urban areas in the central region. Around 5766 km(2) of urban areas experienced Relatively-high-growth of urban CO2 emissions, accounting for 39.04% of the total urban areas in the western region. The Beijing-Tianjin-Tangshan (BTT) and Sichuan-Chongqing (SC) had the most extensive Low-growth, accounting for approximately 8.97% and 6.15% of their total urban areas. It should be pointed out that about 7815 km(2) (11.58%) of peri-urban areas experienced High-growth of CO2 emissions. Meanwhile, we have also found that urban CO2 emissions had significant positive correlations with urban GDP (Gross Domestic Product) and urban population in China at multiple scales. Our findings can provide useful information for local authorities to guide their policies in CO2 emissions mitigation.
引用
收藏
页码:218 / 229
页数:12
相关论文
共 73 条
[1]   Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections [J].
Aydin, Gokhan .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 35 :382-389
[2]   Realizing China's urban dream [J].
Bai, Xuemei ;
Shi, Peijun ;
Liu, Yansui .
NATURE, 2014, 509 (7499) :158-160
[3]   Estimating the CO2 abatement cost: Substitute Price of Avoiding CO2 Emission (SPAE) by Renewable Energy's Feed in Tariff in selected countries [J].
Bakhtyar, B. ;
Ibrahim, Y. ;
Alghoul, M. A. ;
Aziz, N. ;
Fudholi, A. ;
Sopian, K. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 35 :205-210
[4]   Urban Form, Air Pollution, and CO2 Emissions in Large U.S. Metropolitan Areas [J].
Bereitschaft, Bradley ;
Debbage, Keith .
PROFESSIONAL GEOGRAPHER, 2013, 65 (04) :612-635
[5]   Evaluation of methods for classifying epidemiological data on choropleth maps in series [J].
Brewer, CA ;
Pickle, L .
ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS, 2002, 92 (04) :662-681
[6]   Urban CO2 emissions in China: Spatial boundary and performance comparison [J].
Cai, Bofeng ;
Zhang, Lixiao .
ENERGY POLICY, 2014, 66 :557-567
[7]   Spatialization of electricity consumption of China using saturation-corrected DMSP-OLS data [J].
Cao, Xin ;
Wang, Jianmin ;
Chen, Jin ;
Shi, Feng .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2014, 28 :193-200
[8]   A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data [J].
Cao, Xin ;
Chen, Jin ;
Imura, Hidefumi ;
Higashi, Osamu .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (10) :2205-2209
[9]  
[曹子阳 Cao Ziyang], 2015, [地球信息科学学报, Journal of Geo-Information Science], V17, P1092
[10]   Spatiotemporal dynamics of carbon intensity from energy consumption in China [J].
Cheng Yeqing ;
Wang Zheye ;
Ye Xinyue ;
Wei, Yehua Dennis .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2014, 24 (04) :631-650