Characteristics, evolution, and regional differences of biomass burning particles in the Sichuan Basin, China.
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2020
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Abstract
The Sichuan Basin has experienced serious air pollution from fine particulate matter (PM) in the past few years with biomass burning has been identified as a major source of PM in this region. We used single particle aerosol mass spectrometer to investigate the characteristics of biomass burning particles in three interacting cities representing different types of urban environment in the Sichuan Basin. A total of 739,794, 279,610, and 380,636 biomass burning particles were detected at Ya'an, Guang'an, and Chengdu, which represented 42%, 69%, and 61%, respectively, of the total number of particles. We analyzed the chemical composition, transportation, and evolution of biomass burning particles. The contribution of K-elemental carbon and K-secondary inorganic particles was highest in Ya'an (36%) and Guang'an (47%), respectively, reflecting the important role of fresh biomass burning particles and long-distance transport in these two cities. Air masses originating from different directions corresponded to different levels of PM and the contributions of polluted clusters increased significantly on polluted days. Fresh and secondary inorganic biomass burning particles increased pollution at Ya'an and Guang'an, respectively, but dominated different stages of pollution in Chengdu. K-nitrate particles were formed by photochemical reactions, whereas K-sulfate particles were formed by both photochemical and liquid-phase reactions. Investigation of the degree of particle aging showed that there were more fresh particles at Ya'an and more aged particles at Guang'an. These results are useful in helping our understanding of the characteristics of biomass burning particles and evaluating their role in PM pollution in the Sichuan Basin.
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luo2020characteristicsjournal
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| Authors | Luo, Jinqi;Zhang, Junke;Huang, Xiaojuan;Liu, Qin;Luo, Bin;Zhang, Wei;Rao, Zhihan;Yu, Yangchun; |
| Journal | Journal of environmental sciences (China) |
| Year | 2020 |
| DOI |
S1001-0742(19)31265-3
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