Spatiotemporal variations of fossil fuel CO emissions in China: A sectoral allocation approach based on multi-source data.

Fossil fuel (FF) CO emissions account for the largest portion of human-related CO emissions. It is essential to accurately understand the spatial distribution of high-resolution FFCO emissions to formulate different carbon emission reduction policies in different regions. Therefore, a sectoral allocation approach was proposed to estimate FFCO emissions in China from 2000 to 2021 based on multi-source data. Furthermore, the spatiotemporal characteristics of FFCO emissions in different sectors were analyzed at different scales, and the spatial correlation of FFCO emissions in the service sector and industrial sector was also evaluated through Moran's index. The results showed that the mean R value of the sectoral allocation approach (0.89) exceeds that of the approach using only nighttime light (0.72). Moreover, the calculated results were utilized to analyze the Spatiotemporal variation of FFCO emissions. The analysis revealed that China's FFCO emissions increased from 3173 Mt in 2000-10662 Mt in 2021. The high emissions of FFCO mainly come from the industrial sectors in North China and Central China, as well as the service sectors in the eastern coastal cities and other provincial capital cities. The spatial dependence of FFCO emissions in the industrial sector was stronger than that in the service sector, but the spatial dependence of FFCO emissions in the service sector showed an increasing trend from 2000 to 2021. These results have important references and implications for region-specific carbon emission reduction policies.