Abstract:Chongqing 1km resolution CO2 emission gridded data had been built up based on point emission sources and other supporting data. The CO2 emissions in Chongqing’s four urban boundaries, namely city administrative boundary (UB1), city district boundary (UB2), city built-up area (UB3) and urban proper (UB4), were analyzed and compared based on this emission gridded dataset. UB4 was the appropriate spatial boundary for city of Chongqing, while UB1 was suitable for the spatial boundary of Chongqing region. Different urban boundaries could result in substantial emission discrepancy. The total emissions of UB4 only accounted for 17.13% of the emissions of UB1, whereas the per capita emissions of UB4 were 1.6 times of UB1 level. The UB4, with average emissions of grid more than 10000tons, shaped the emissions center of the UB1. The emissions of grids in more than 70% area of UB1 were lower than 200tons. The predominant share of industrial emissions in total emissions in UB4 resulted in the spatial pattern that the per capita emissions were higher in urban area than in its peripheral area. This pattern was opposite to what was found in cities of developed countries. There was spatially clustering phenomenon in CO2 emissions in UB1, as indicated by spatial autocorrelation analysis. This implied that the economic activities and energy consumption in some areas have significant positive effect on its surroundings. Emissions of certain individual grid accounted for more than 40% of the total emissions in UB4. The emissions in 7.00% area of UB4, 1.21% area of UB1 and 3.84% area of UB2, had accounted for more that 85% of emissions in their correspondent urban boundaries.
蔡博峰. 中国4个城市范围CO2排放比较研究[J]. 中国环境科学, 2014, 34(9): 2439-2400.
CAI Bo-Feng. CO2 emissions in four urban boundaries of China-Case study of Chongqing. CHINA ENVIRONMENTAL SCIENCECE, 2014, 34(9): 2439-2400.