Remote sensing monitoring and spatiotemporal characteristics of CO2 and CH4 concentrations in coal-electricity production bases
[Objective]CO2 and CH4 are identified as the primary greenhouse gases emitted from energy production in coal-electricity production bases.Mointoring these emissions and analyzing their spatiotemporal distribution are essen-tial components of building a carbon monitoring system in the study area.[Methods]This study investigated Huainan City,Anhui Province as an example to explore the spatiotemporal characteristics of CO2 and CH4 in coal-electricity pro-duction bases.Specifically,this study examined the CO2 and CH4 concentrations in the study area based on data from the GOSAT,OCO-2,and Sentinel-5P satellites,determining the column concentration changes and distribution of CO2 and CH4,which are XCO2 and XCH4.A sourcing method of inventory was employed to analyze the industrial and regional CO2 emission characteristics,and Pearson's correlation coefficient and multivariate regression were used to analyze the dominant factors affecting the XCO2 and XCH4 concentrations in the study area.[Results and Conclusions]Key find-ings are as follows:(1)The analysis of fusion data from the GOSAT and OCO-2 satellites indicate that the XCO2 and XCH4 concentrations in Huainan generally trended upward from 2016 to 2020,with the XCO2 and XCH4 concentrations increasing by 12×10-6 and 23×10-9,respectively.The Pearson's correlation coefficient between the XCO2 concentration and cumulative power generation was 0.98,and that between the XCH4 concentration and cumulative coal production was 0.99,both indicating extremely strong correlations.(2)As revealed by the analytical results of the spatiotemporal distribution characteristics of the XCH4 concentration in various zones of Huainan City derived based on data from the high-resolution Tropospheric Monitoring Instrument(TROPOMI)equipped in the Sentinel-5P satellite,the XCH4 con-centration in the city is affected by both energy and agricultural production,being higher in autumn than in summer.(3)The results obtained using the sourcing method of inventory indicate that the maximum CO2 emissions of the primary sources originated from the stationary combustion sources of fossil fuels,accounting for 89.59%of the total CO2 emis-sions across the city.Furthermore,over 99%of the stationary combustion sources of fossil fuels were used for electric heating.The primary CO2 emissions sources include the coal-fired power plants in Panji District and Fengtai County of Huainan City.Source identification results indicate that the fossil-fired power plants concentrated in the northern Huain-an proved to be predominant sources of CO2 emissions in the study area.(4)The dominant factors affecting the XCO2 concentration in the study area include regional GDP,cumulative power generation,and the output of the secondary in-dustries,while those influencing the XCH4 concentration encompass cumulative coal production,the output of the primary industries,and the sown area.The results of this study provide a valuable reference for the construction and im-provement of carbon monitoring systems for coal-electricity production bases under the context of reaching the goals of peak carbon dioxide emissions and carbon neutrality.
carbon emissionremote sensing monitoringXCO2XCH4dominant controlling factormultivariate regres-sion analysiscoal-electricity production baseHuainan City,Anhui Province
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