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首页> 外文期刊>Aerosol and Air Quality Research >Chemical Characterization and Source Apportionment of PM2.5 during Spring and Winter in the Yangtze River Delta, China
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Chemical Characterization and Source Apportionment of PM2.5 during Spring and Winter in the Yangtze River Delta, China

机译:长江三角洲春季和冬季PM2.5的化学特征和来源解析

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To investigate the characteristics and sources of PM2.5 in the Yangtze River Delta (YRD) region, a total of 10 sampling sites were selected in the three major cities of Shanghai, Nanjing, and Ningbo and the regional background city of Lin’an, and 380 samples were collected in spring and winter. The spatiotemporal characteristics of the PM2.5 mass concentration and the chemical components were analyzed. Meanwhile, air mass clusters and the positive matrix factorization (PMF) source apportion model were comprehensively used to identify the sources of PM2.5. The mass concentration of PM2.5 in winter (83.51–107.64 µg m–3) was higher than that in spring (54.11–85.72 µg m–3). Sulfate, nitrate, and ammonium (SNA) dominated the PM2.5, accounting for 39.0% in spring and 46.1% in winter in the YRD region. Higher ratio of secondary organic carbon (SOC) to organic carbon (OC) generally occurred in winter due to increased emissions of organic precursors. The mean equivalent ratio of AE/CE was 0.81 ± 0.25 in winter and 0.96 ± 0.33 in spring, which indicated a slight alkalinity of the atmospheric particles in the YRD region. Secondary aerosols (29.44%) and traffic (25.66%) were identified as the main sources of PM2.5 in the YRD during spring, and they contributed 22.71% and 29.71% in winter. In addition, air mass flow from Northern China imported substantial fugitive soils to the YRD region in spring and enhanced the contribution of combustion in winter through long-range transport, while air masses originating from Southwestern China were strongly associated with biomass burning. Our results showed that the PM2.5 concentration and chemical characterization in the YRD region was significantly influenced by air mass transport.
机译:为了调查长三角地区PM2.5的特征和来源,我们在上海,南京和宁波这三个主要城市和区域背景城市临安共选择了10个采样点,春季和冬季采集了380个样本。分析了PM2.5质量浓度和化学成分的时空特征。同时,综合利用气团和正矩阵分解(PMF)源分配模型识别PM2.5的来源。冬季(83.51-107.64 µg m-3)的PM2.5质量浓度高于春季(54.11-85.72 µg m-3)的PM2.5质量浓度。硫酸盐,硝酸盐和铵(SNA)占主导地位的PM2.5,在长三角地区春季占39.0%,冬季占46.1%。冬季,由于有机前体排放量的增加,次生有机碳(SOC)与有机碳(OC)的比例较高。 AE / CE的平均当量比在冬季为0.81±0.25,在春季为0.96±0.33,这表明YRD区域的大气颗粒略有碱度。在春季,次生气溶胶(29.44%)和交通(25.66%)被确定为长三角地区PM2.5的主要来源,冬季分别占22.71%和29.71%。此外,春季来自中国北方的空气流将大量的逃亡土壤输入到长三角地区,并通过远程运输增强了冬季的燃烧贡献,而源自西南地区的空气质量与生物质燃烧密切相关。我们的结果表明,长风区的PM2.5浓度和化学特性受空气质量传输的显着影响。

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