Insights into the characteristics of aerosols using an integrated single particle–bulk chemical approach
编号:979 稿件编号:673 访问权限:仅限参会人 更新:2021-06-15 16:13:21 浏览:620次 口头报告

报告开始:2021年07月11日 10:18 (Asia/Shanghai)

报告时间:10min

所在会议:[S12C] 12C、气溶胶与大气环境科学 » [S12C-2] 专题12.6 大气气溶胶单颗粒研究 & 专题12.7 矿质气溶胶

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摘要
Single particle analysis and bulk chemical analysis are two complementary approaches used to study aerosols from different perspectives. Most previously published studies have been based on only one of these two approaches, which has limited our understanding of particle pollution. We therefore integrated the single particle (single particle aerosol mass spectrometer) and bulk chemical (filter sampling) approaches to sample and analyze PM2.5 pollution in Chengdu, a megacity in Southwest China, during the autumn season. Our results showed that there was a strong correlation between the results obtained by the two approaches. Seven major particle types (vehicular emissions, biomass burning, coal combustion, K with sulfate, K with nitrate, K with secondary inorganic species and dust particles) were resolved, corresponding to the different chemical components measured by filter sampling. Two different pollution episodes were identified. Pollution episode 1 was caused by combustion sources (coal and biomass), whereas pollution episode 2 was caused by a combination of local vehicular emissions and regional transport from regions to the east and south of Chengdu. Integrated single particle and bulk chemical analysis can determine the sources and formation mechanisms of pollution more efficiently than either one of these methods used alone. Bivariate polar plots showed that in addition to SO2, local emissions were the dominant source of all species. Regional transport was usually from areas located to the southwest or northeast of Chengdu. Six sources of PM2.5 were apportioned based on positive matrix factorization: Combustion (16.1%), vehicular emissions (26.5%), soil dust (4.5%), industrial processes (12.2%), secondary nitrate (18.6%) and secondary sulfate (22.1%).
关键字
PM2.5; Pollution episodes; Formation mechanisms; Source apportionment; SPAMS
报告人
张军科
西南交通大学

稿件作者
张军科 西南交通大学
黄小娟 成都信息工程大学
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