Abstract
An effective assessment of industrial emission characteristics is necessary to formulate appropriate emission reduction measures. However, regular and complete emission reports are not always available. Therefore, this study aims to use satellite observations of atmospheric pollutants to evaluate the intensity, efficiency, industrial composition, and energy composition of industrial carbon emissions. Taking China as the study area, first, the XCO2 enhancement (△XCO2) and co-located SO2 and NO2 corresponding to the industrial land area were extracted based on the satellite data of OCO-2 (Orbiting Carbon Observatory-2) and Aura OMI (Ozone Monitoring Instrument). Then, the relationship between atmospheric pollutant composition and industrial emission characteristics in different regions is analyzed. Finally, an estimation model based on atmospheric pollution characteristics is constructed, and the characteristics of China's industrial emissions in 2015 are evaluated. Results show that evaluating the specific emission characteristics is possible by using the comprehensive satellite observations of atmospheric pollutants, and the estimation results are in good agreement with the sectoral emission inventory. High NO2 and high emission intensity are mainly distributed in eastern China, while high SO2 and low emission efficiency are mainly distributed in the north. Furthermore, △XCO2 and NO2 are positively correlated with emission intensity and the proportion of emissions from the machinery industry, SO2 is negatively correlated with the proportion of chemical industry emissions, and SO2/NO2 is negatively correlated with emission efficiency and the proportion of light industry emissions. Results of the study show that the comprehensive satellite observation characteristics of atmospheric pollutants can be a reliable reference in evaluating industrial emission characteristics.
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