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Chemical composition and source apportionment of PM2.5 a?? A case study from one year continuous sampling in the Chang-Zhu-Tan urban agglomeration

机译:PM2.5 a ??的化学组成和来源分配长株潭城市群一年连续采样的案例研究

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To understand the characteristics and source of atmospheric PM2.5 in Chang-Zhu-Tan urban agglomeration, PM2.5 samples were simultaneously collected at 11 monitoring sites within three cities of Changsha, Zhuzhou and Xiangtan from September 2013 to August 2014. Spatial and temporal variations of PM2.5 mass concentration and chemical compositions were analyzed based on the average values over the measurement sites in a specific urban area, including a comparison of PM2.5 at urban and urban background sites. Source apportionment was performed by PMF 5.0 (positive matrix factorization) model and potential source area affecting PM2.5 mass concentration was simulated using CWT (concentration-weighted trajectory analysis) analysis. The result showed the seasonal variation of PM2.5 mass concentration followed the order of winter????autumn????spring????summer. The OC/EC ratio in each season and each city were greater than 4.0, secondary inorganic ions accounted for at least 91% of the total water soluble inorganic ion concentration, presenting obvious secondary pollution characteristics. Coal combustion and vehicle emissions were two major sources of PM2.5 in all three cities, which accounted for about 35 percent and nearly 26 percent of contributions respectively. In addition, industrial emission and biomass burning were also significant sources in Changsha, while urban dust and biomass burning were significant sources in Zhuzhou and Xiangtan. Chang-zhu-tan urban agglomeration was the main source area of its PM2.5 and easy to form overlapping pollution areas. Meanwhile, northern neighboring city Yueyang and western bordering region Pingxiang also had a certain transmission influence on the formation of PM2.5.
机译:为了了解长株潭城市群大气PM2.5的特征和来源,于2013年9月至2014年8月在长沙,株洲和湘潭三个城市的11个监测点同时采集了PM2.5样品。时空根据特定城市地区测量站点的平均值分析PM2.5质量浓度和化学成分的变化,包括比较城市和城市背景站点的PM2.5。通过PMF 5.0(正矩阵分解)模型执行源分配,并使用CWT(浓度加权轨迹分析)分析模拟影响PM2.5质量浓度的潜在源区域。结果表明,PM2.5质量浓度的季节变化遵循冬季→秋季→春季→夏季的顺序。每个季节,每个城市的OC / EC比均大于4.0,次要无机离子至少占水溶性无机总离子浓度的91%,具有明显的二次污染特征。煤炭燃烧和车辆排放是这三个城市中PM2.5的两个主要来源,分别占贡献的35%和近26%。此外,工业排放和生物质燃烧也是长沙的重要来源,而城市扬尘和生物质燃烧是株洲和湘潭的重要来源。长株潭城市群是其PM2.5的主要来源地区,易形成重叠污染区。同时,北部邻近城市岳阳和西部接壤地区萍乡也对PM2.5的形成有一定的传播影响。

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