摘要：为了研究南京东郊大气颗粒物污染特征,利用安德森8级粒度分布采样器采样,并结合大气监测数据,综合分析2013—2014年间南京东郊大气颗粒物的粒度分布特征和大气污染物的污染水平及其相互关系。结果表明:南京市大气污染主要由粒径为>0.43~2.10μm的大气颗粒物引起,其中12月份污染最严重,且首要污染物为细颗粒物PM_2.5;温度、降雨量、风速等气象因素对颗粒物呈负相关性影响;灰霾天时颗粒物浓度受SO₂、NO₂的正相关性影响比非灰霾天时大,且NO₂浓度对颗粒物浓度的影响比SO₂浓度的影响大。

关键词：大气颗粒物；细颗粒物PM_2.5；多元线性回归；污染特征

Abstract： To study the pollution characteristics of atmospheric particulates in east suburban area of Nanjing， the atmospheric particulates were sampled in east suburban area of Nanjing during the period from 2013 to 2014 by using an eight-class Anderson size distribution sampler to investigate their size distribution characteristics. The pollution levels of gaseous pollutants and their correlation with the sampled particulates were analyzed by employing the atmosphere monitoring data. The results show that most of the atmospheric particulates in Nanjing are in the size range from greater than 0.43 to 2.10 μm which contribute highly to the mass concentrations. The pollution in December is very serious， and the primary pollutant is the fine particulate matter PM_2.5. The meteorological factors， such as temperature， rainfall， wind speed and other meteorological factors， have negative effect on the concentration of particles. The gaseous pollutants of SO₂ and NO₂ have much more positive effect on the particle concentrations in haze days than in clean days. The particle concentrations are more affected by the concentration of NO₂ than that of SO₂. 

Keywords: atmospheric particulate； fine particulate matter PM_2.5； multiple linear regression； pollution characteristic