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第43卷第3期                           南京医科大学学报(自然科学版)
                  2023年3月                   Journal of Nanjing Medical University(Natural Sciences)     ·405 ·


               ·公共卫生与预防医学研究·

                南京江宁大学城春季PM2.5污染特征及来源分析



                刘   璐 ,朱欢欢 ,吉贵祥 ,袁 琪 ,张正东 ,储海燕                 1*
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                南京医科大学公共卫生学院,江苏              南京   211166;生态环境部南京环境科学研究所,江苏               南京   210042;南京市疾病预
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                防控制中心,江苏       南京 210003
               [摘   要] 目的:了解南京江宁大学城春季PM2.5的污染特征及来源。方法:2018年3月15日—5月31日在南京医科大学江宁
                校区进行PM2.5采样。分别使用热光碳分析仪、离子色谱仪、气相色谱串联质谱仪和能量色散X射线荧光光谱仪测定滤膜中碳
                质组分、水溶性离子、多环芳烃(polycyclic aromatic hydrocarbon,PAH)和无机元素的含量。通过离子平衡分析、同分异构体比
                值法、主成分分析等方法进行源解析。结果:采样期间PM2.5日平均质量浓度为70.24 μg/m 。c[有机碳(OC)]/c[元素碳(EC)]
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                比值集中于2.24~10.60,提示PM2.5来源于化石燃料燃烧,且受二次污染影响较大。水溶性离子中SO4 、NO3 和NH4 含量较高,
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                PM2.5整体偏碱性。c(NO3 )/c(SO4 )平均比值为0.65,表明采样点PM2.5受煤炭燃烧等固定污染源的影响较大。中高环PAH在
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                PM2.5中含量较高,主成分分析结果提示污染主要来源于化石燃料燃烧、机动车尾气排放。无机元素中Fe、Cl、K、Al和Zn占总
                质量的82.98%,主成分分析结果提示化石燃料燃烧、机动车尾气排放、工业排放以及土壤扬尘是其主要来源。结论:南京江宁
                大学城PM2.5污染较为严重,受化石燃料燃烧和机动车尾气排放影响最大。
               [关键词] PM2.5;污染特征;源解析;南京江宁大学城
                [中图分类号] R122.7                  [文献标志码] A                       [文章编号] 1007⁃4368(2023)03⁃405⁃08
                doi:10.7655/NYDXBNS20230317



                Pollution characteristics and source apportionment of PM 2.5 in Jiangning university town of
                Nanjing during spring

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                LIU Lu ,ZHU Huanhuan ,JI Guixiang ,YUAN Qi ,ZHANG Zhengdong ,CHU Haiyan 1*
                1 School of Public Health,Nanjing Medical University,Nanjing 211166;Nanjing Institute of Environmental Sciences,
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                Ministry of Ecology and Environment,Nanjing 210042;Nanjing Municipal Center for Disease Control and
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                Prevention,Nanjing 210003,China
               [Abstract] Objective: The current study aims to understand the characteristics and source apportionment of PM 2.5 from Jiangning
                university town of Nanjing during spring. Methods:Ambient PM2.5 was collected from Jiangning campus of Nanjing Medical University
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                                         st
                between March 15 and May 31 in 2018. Thermal/optical carbon analyzer,ion chromatography,gas chromatography ⁃ mass
                spectrometer and energy dispersive X ⁃ ray fluorescence spectrometer were used to determine the concentration of carbonaceous
                components,water⁃soluble ions,polycyclic aromatic hydrocarbons(PAHs)and inorganic elements,respectively. Source apportionment
                was conducted by ion balance analysis,diagnostic ratio method,principal component analysis(PCA),etc. Results:The average daily
                concentration of PM 2.5 was 70.24 μg/m . The ratios of c[organic carbon(OC)]/c[elemental carbon(EC)]mainly were 2.24~10.60,
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                indicating fossil fuel combustion source and secondary pollution. Water soluble ions mainly included SO 4 ,NO3 and NH4 . The average
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                ratio of c(NO3 )/c(SO4 )was 0.65,indicating a coal combustion source. PAHs with 4~6 benzene rings were the most abundant. The
                results of PCA suggested a mixed coal,petroleum combustion and automobiles emissions source. Fe,Cl,K,Al and Zn were
                predominant in inorganic elements. Coal and petroleum combustion,automobiles emissions,industrial emissions as well as soil dust
                contributed to inorganic elements. Conclusion:PM2.5 pollution is serious in the Jiangning university town of Nanjing. The main sources
                of PM2.5 were the fossil fuel combustion and automobile emissions.
               [Key words] PM2.5;pollution characteristics;source apportionment;Jiangning university town of Nanjing
                                                                              [J Nanjing Med Univ,2023,43(03):405⁃412]

               [基金项目] 江苏省高校自然科学研究项目(15KJB330002);健康江苏研究院项目
                ∗
                通信作者(Corresponding author),E⁃mail: chy_grape@njmu.edu.cn
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