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南京北郊四季PM2.5中有机胺的污染特征及来源解析
引用本文:李栩婕,施晓雯,马嫣,郑军. 南京北郊四季PM2.5中有机胺的污染特征及来源解析[J]. 环境科学, 2020, 41(2): 537-553. DOI: 10.13227/j.hjkx.201908212
作者姓名:李栩婕  施晓雯  马嫣  郑军
作者单位:南京信息工程大学环境科学与工程学院,南京 210044;江苏省大气环境监测与污染控制高技术研究重点实验室,南京 210044,南京信息工程大学环境科学与工程学院,南京 210044;江苏省大气环境监测与污染控制高技术研究重点实验室,南京 210044,南京信息工程大学环境科学与工程学院,南京 210044;江苏省大气环境监测与污染控制高技术研究重点实验室,南京 210044,南京信息工程大学环境科学与工程学院,南京 210044;江苏省大气环境监测与污染控制高技术研究重点实验室,南京 210044
基金项目:国家重点研发计划项目(2016YFC0202402,2016YFC0202401);国家自然科学基金项目(41575122,91644213,41730106)
摘    要:2017年12月至2018年11月在南京北郊采集了大气PM2.5样品,对其中的有机胺、主要水溶性离子、有机碳和元素碳进行了定量分析.共测定南京北郊大气PM2.5中5种有机胺:甲胺、乙胺、二甲胺、三甲胺和苯胺.有机胺年平均总浓度为(54. 2±29. 2) ng·m-3,其中最丰富的物种为二甲胺[年均值:(20. 2±13. 7) ng·m-3],其次为甲胺[年均值:(13. 1±6. 3)ng·m-3]、三甲胺[年均值:(8. 6±4. 1) ng·m-3]、乙胺[年均值:(6. 3±4. 1) ng·m-3]和苯胺[年均值:(5. 9±3. 9) ng·m-3],有机胺总浓度呈现出明显的季节变化,表现为夏季>秋季>春季>冬季.污染天有机胺的浓度大于清洁天,主要是受大气颗粒物酸性影响大气有机胺气/粒转换所致,并且大气颗粒物酸性也是导致夏季高温条件下颗粒态有机胺仍高于其它季节的另一原因.在新粒子生...

关 键 词:有机胺  离子色谱  新粒子生成  正交矩阵因子解析(PMF)  源解析
收稿时间:2019-08-26
修稿时间:2019-09-24

Characterization, Seasonal Variation, and Source Apportionments of Particulate Amines (PM2.5) in Northern Suburb of Nanjing
LI Xu-jie,SHI Xiao-wen,MA Yan and ZHENG Jun. Characterization, Seasonal Variation, and Source Apportionments of Particulate Amines (PM2.5) in Northern Suburb of Nanjing[J]. Chinese Journal of Environmental Science, 2020, 41(2): 537-553. DOI: 10.13227/j.hjkx.201908212
Authors:LI Xu-jie  SHI Xiao-wen  MA Yan  ZHENG Jun
Affiliation:School of Environmental Science and Engineering, Nanjing University of Information Science&Technology, Nanjing 210044, China;Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, China,School of Environmental Science and Engineering, Nanjing University of Information Science&Technology, Nanjing 210044, China;Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, China,School of Environmental Science and Engineering, Nanjing University of Information Science&Technology, Nanjing 210044, China;Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, China and School of Environmental Science and Engineering, Nanjing University of Information Science&Technology, Nanjing 210044, China;Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, China
Abstract:PM2.5 samples were collected from December 2017 to November 2018 at a northern suburb site of Nanjing. The concentrations of five amines, major water-soluble ions, organic carbon, and elemental carbon were determined. The five amines measured were methylamine, ethylamine, dimethylamine, trimethylamine, and aniline. The annual average of the total amine concentration was (54.2±29.2) ng·m-3. Among these, dimethylamine was the most abundant[annual average:(20.2±13.7) ng·m-3], followed by methylamine[annual average:(13.1±6.3) ng·m-3], trimethylamine[annual average:(8.6±4.1) ng·m-3], ethylamine[annual average:(6.3±4.1) ng·m-3], and aniline[annual average:(5.9±3.9) ng·m-3]. The total amine concentration showed explicit seasonal variations:summer > autumn > spring > winter. The amine concentration on polluted days was higher than that on clean days. This may be influenced by aerosol acidity, promoting the partitioning of gaseous amine into the particulate phase. Aerosol acidity was also the major reason for the higher concentration of amine observed in summer than in other seasons. During new particle formation events, the concentrations of amines increased substantially. Positive matrix factorization (PMF) was utilized to identify the potential sources of amines, identifying six sources:industrial emission, agriculture emission, biomass burning, automobile emission, secondary formation, and dust. Methylamine and ethylamine mainly originated from secondary formation and automobile emissions. Dimethylamine and trimethylamine mainly originated from biomass burning, secondary formation, and automobile emissions; Aniline mainly originated from industrial emissions and biomass burning. A significant seasonal difference is observed with respect to the sources of amines. In spring and autumn, road dust sources account for a relatively high proportion. In summer, secondary sources are the main sources of amines. However, the diurnal variations of amine are not evident, and the secondary source, motor vehicle emission, and biomass combustion are the three main influencing factors.
Keywords:amines  ion chromatography  new particle formation  positive matrix factorization (PMF)  source apportionment
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