International Journal of Environmental Monitoring and Analysis
Volume 8, Issue 5, October 2020, Pages: 155-160
Received: Sep. 22, 2020;
Published: Sep. 28, 2020
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Ju Wang, College of New Energy and Environment, Jilin University, Changchun, China
Yilian Zhao, College of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya’an, China
Kexin Xue, College of New Energy and Environment, Jilin University, Changchun, China
Chunsheng Fang, College of New Energy and Environment, Jilin University, Changchun, China
Based on the technical guide for the preparation of air pollutant emission inventory, this paper makes a statistical analysis of the basic data of air pollution related to the Changchun, and according to the relevant literatures, establishes a list of the main air pollutant emissions from the Changchun 2016 air pollution emission sources (including fine particles, sulfur dioxide and nitrogen oxides). Then the uncertainty analysis is made by Monte Carlo method, and the countermeasures of Changchun air pollution control are put forward. The results showed that the total emission of PM2.5 in Changchun in 2016 was 70986.45t, and the emissions from the main sources are fixed combustion source, mobile source, process source, biomass burning source and dust source respectively. According to the analysis, we know that coal-based energy consumption structure not only contributes significantly to the emission of one fine particulate matter, but also emits a large number of two fine particulate precursor materials, such as sulfur dioxide, nitrogen oxides. The total sulfur dioxide emission in Changchun in 2016 is 52183.55t, and the total NOx emission is 13.15 million tons. The uncertainty analysis of the Monte Carlo method shows that the uncertainty range of the emission inventory is small and the estimation results are quite credible.
Emission Characteristics of Major Atmospheric Pollutants in Changchun City, International Journal of Environmental Monitoring and Analysis.
Vol. 8, No. 5,
2020, pp. 155-160.
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