• Journal of Atmospheric and Environmental Optics
  • Vol. 19, Issue 4, 440 (2024)
LIAO Congcong, HAO Shuang, CUI Yuhuan, LI Pengfei..., XU Yazhou and SHENG Liangliang|Show fewer author(s)
Author Affiliations
  • School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
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    DOI: 10.3969/j.issn.1673-6141.2024.04.005 Cite this Article
    Congcong LIAO, Shuang HAO, Yuhuan CUI, Pengfei LI, Yazhou XU, Liangliang SHENG. Spatio-temporal characteristics of carbon emission from energy consumption in China during 2000-2019[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(4): 440 Copy Citation Text show less
    Luminous image of the research area. (a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Fig. 1. Luminous image of the research area. (a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Energy carbon emissions in China from 2000 to 2019
    Fig. 2. Energy carbon emissions in China from 2000 to 2019
    Fitting relationship between total night lighting and energy carbon emissions from 2000 to 2019.(a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Fig. 3. Fitting relationship between total night lighting and energy carbon emissions from 2000 to 2019.(a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Simulated carbon emission distribution from 2000 to 2019. (a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Fig. 4. Simulated carbon emission distribution from 2000 to 2019. (a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Carbon emission distribution map of China's provinces from 2000 to 2019. (a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Fig. 5. Carbon emission distribution map of China's provinces from 2000 to 2019. (a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Local Moran′s I spatial distribution of carbon emissions from prefecture level cities from 2000 to 2019.(a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Fig. 6. Local Moran′s I spatial distribution of carbon emissions from prefecture level cities from 2000 to 2019.(a) 2000; (b) 2005; (c) 2010; (d) 2015; (e) 2019
    Change trend of spatial distribution pattern and center of gravity migration track of carbon emissions in China from 2000 to 2019. (a) Overview map; (b) specific center of gravity transfer diagram
    Fig. 7. Change trend of spatial distribution pattern and center of gravity migration track of carbon emissions in China from 2000 to 2019. (a) Overview map; (b) specific center of gravity transfer diagram
    Migration trajectory of carbon emission center of gravity in different regions from 2000 to 2019. (a) Subregional overview map; (b) Northeast China; (c) North China; (d) Eastern Chian ; (e) Central China; (f) South China; (g) West China
    Fig. 8. Migration trajectory of carbon emission center of gravity in different regions from 2000 to 2019. (a) Subregional overview map; (b) Northeast China; (c) North China; (d) Eastern Chian ; (e) Central China; (f) South China; (g) West China
    Types of energy sourcesRaw coalCokeCrude oilPetrolKeroseneDiesel oilFuel oilNatural gasPower
    Standard coal/t0.71430.97141.42861.47141.47141.45711.42861.33001.2290
    Emission coefficient0.75590.85500.58570.55380.57140.59210.61850.44830.2720
    Table 1. Energy carbon emission coefficient
    Carbon emission typeSuper heavyHeavyGeneral typeLight weight
    Carbon emission scale/t> 1.642 × 1068.6 × 105-1.642 × 1063.95 × 105-8.6 × 105< 3.95 × 105
    Table 2. Classification of carbon emission types
    Regression modelR2
    20002005201020152019
    Linear equation0.6030.8220.8310.8260.743
    Quadratic term equation0.6100.8320.8440.8280.745
    Exponential equation0.5060.6400.7380.7140.630
    Logarithmic equation0.4490.6590.6890.7600.670
    Power exponential equation0.4940.6400.7920.7910.630
    Table 3. Summary of univariate regression model
    YearFitting equationR2Sig
    2000y = 1.9 × 10-4x2 + 12.50053x + 49106.443290.6100.000
    2005y = 0.00006x2 + 9.80827x + 78264.890880.8320.000
    2010y = 0.00006x2 + 7.40293x + 129411.623840.8440.000
    2015y = -0.00001x2 + 14.80051x + 916213110.8280.000
    2019y = -8.35937 × 106x2 + 13.71627x + 105406.032100.7450.000
    Table 4. Binomial model analysis statistics
    YearCoordinateEllipse range/km2Offset/kmDifference value/kmDirection
    2000(133°27′15″ E, 6°31′31″ N)3469041.352216300.97
    2005(133°23′06″ E, 6°14′45″ N)3491833.57847757.97189651.41Southwest
    2010(133°21′50″ E, 5°55′38″ N)3804443.70556974.31161673.83Northwest
    2015(133°36′29″ E, 4°49′20″ N)4094436.194141209.0335983.23Due west
    2019(141°17′43″ E, 33°19′34″ N)4463968.9003839542.9359971.56Northwest
    Table 5. Standard deviation ellipse data statistics
    Congcong LIAO, Shuang HAO, Yuhuan CUI, Pengfei LI, Yazhou XU, Liangliang SHENG. Spatio-temporal characteristics of carbon emission from energy consumption in China during 2000-2019[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(4): 440
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