中文关键词PM_2.5污染事件水溶性离子来源解析沈阳 英文关键词PM_2.5pollution episodewater-soluble ionssource apportionmentShenyang

作者	单位	E-mail
王国祯	南京信息工程大学气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044	601932955@qq.com
任万辉	辽宁省沈阳生态环境监测中心, 沈阳 110000
于兴娜	南京信息工程大学气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044	xnyu@nuist.edu.cn
侯思宇	南京信息工程大学气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044
张毓秀	南京信息工程大学气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044

中文摘要 为研究沈阳市冬季PM_2.5和水溶性离子的污染特征，使用URG-9000D在线监测系统于2018年冬季对大气颗粒物和气体组分进行连续采样.结果表明，采样期间沈阳市PM_2.5的平均质量浓度为80.67 μg·m^-3，总水溶性离子质量浓度变化范围为2.68~132.79 μg·m^-3.与清洁天相比，污染天NO₃^-、SO₄^2-和NH₄⁺（SNA）占比明显增加，占到PM_2.5的43.7%.静稳天气时SO₂短时间内的迅速累积使得沈阳市冬季大气PM_2.5有暴发性增长现象.Pearson相关性分析可知，SNA、Cl^-与PM_2.5之间的相关系数均达0.78以上，表明沈阳市冬季PM_2.5的主要贡献组分为SNA和Cl^-.PMF源解析表明沈阳市冬季污染物来源主要包括二次反应源、燃煤和生物质燃烧源以及扬尘源. 英文摘要 In order to explore the characteristics of PM_2.5 and water-soluble ions in Shenyang in winter, the URG-9000D online monitoring system was used to continuously sample PM_2.5 and gas components during 2018. The results indicated that the average concentration of PM_2.5 in Shenyang during the sampling period was 80.67 μg·m^-3, and the total water-soluble ion concentration ranged from 2.68 to 132.79 μg·m^-3. Compared with clean days, the proportion of NO₃^-, SO₄^2-, and NH₄⁺ (SNA) in polluted days increased significantly, reached 43.7% of PM_2.5. The rapid accumulation of SO₂ in a short period of time made atmospheric PM_2.5 explosively increase in Shenyang in winter. A Pearson correlation analysis showed that the correlation coefficients of SNA, Cl^-, and PM_2.5 were all above 0.78, indicating that the main contribution components of winter PM_2.5 in Shenyang were SNA and Cl^-. The apportionment of PMF sources indicated that the sources of pollutants in winter in Shenyang mainly included secondary reaction sources, coal and biomass combustion sources, and dust sources.

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