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重庆市冬季PM2.5及气态污染物的分布特征与来源

梁 丹 王 彬 王云琦 张会兰 李 昂 张婉晴 张 璇

梁 丹, 王 彬, 王云琦, 张会兰, 李 昂, 张婉晴, 张 璇. 重庆市冬季PM2.5及气态污染物的分布特征与来源[J]. 环境科学研究, 2015, 28(7): 1039-1046.
引用本文: 梁 丹, 王 彬, 王云琦, 张会兰, 李 昂, 张婉晴, 张 璇. 重庆市冬季PM2.5及气态污染物的分布特征与来源[J]. 环境科学研究, 2015, 28(7): 1039-1046.
LIANG Dan, WANG Bin, WANG Yunqi, ZHANG Huilan, LI Ang, ZHANG Wanqing, ZHANG Xuan. Distribution Characteristics and Sources of PM2.5 and Gaseous Pollutants in Winter in Chongqing[J]. Research of Environmental Sciences, 2015, 28(7): 1039-1046.
Citation: LIANG Dan, WANG Bin, WANG Yunqi, ZHANG Huilan, LI Ang, ZHANG Wanqing, ZHANG Xuan. Distribution Characteristics and Sources of PM2.5 and Gaseous Pollutants in Winter in Chongqing[J]. Research of Environmental Sciences, 2015, 28(7): 1039-1046.

重庆市冬季PM2.5及气态污染物的分布特征与来源

基金项目: 国家林业公益性行业科研专项 (20130430103)

Distribution Characteristics and Sources of PM2.5 and Gaseous Pollutants in Winter in Chongqing

  • 摘要: 利用重庆市大气污染物监测站2013年冬季(2013年11月—2014年1月)的实测数据,分析PM2.5及相关气态污染物(SO2、NO2、O3)的时空特征,并采用轨迹聚类与PSCF(潜在源贡献因子)分析污染物来源. 结果表明:除ρ(O3)以外,其他3种污染物质量浓度的月际变化趋势基本一致,均呈12月升高、1月降低的特征;污染物空间分布不均,其中ρ(PM2.5)和ρ(NO2)在工业区和人口密集区较高,ρ(SO2)南高北低,ρ(O3)城区低于郊区. ρ(SO2)、ρ(NO2)与ρ(PM2.5)均呈显著正相关,其中ρ(SO2)与ρ(PM2.5)的R(相关系数)在城、郊区分别为0.71、0.65,ρ(NO2)与ρ(PM2.5)在城、效区的R分别为0.73、0.56;而ρ(O3)与ρ(PM2.5)未表现出显著相关. ρ(SO2)、ρ(NO2)与ρ(PM2.5)的相关性高低可在一定程度上说明二次气溶胶的污染程度,ρ(O3)与ρ(PM2.5)的相关性受到PM2.5来源和污染程度的影响. 轨迹分析结果显示,重庆市2013年冬季主要受东北方向气流影响;聚类分析表明,重庆市11月没有表现出明显的PM2.5外来输送特征,但12月和1月的PM2.5外来输送特征明显,并且不同方向的气流污染物浓度差异也较大. PSCF分析发现,重庆市冬季PM2.5、SO2、NO2、O3主要来源于本地和周围城市局地传输,同时还受南宁、贵阳、遵义、达州等地的影响.

     

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