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首页> 外文期刊>Atmospheric research >PM2.5 chemical composition at a rural background site in Central Europe, including correlation and air mass back trajectory analysis
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PM2.5 chemical composition at a rural background site in Central Europe, including correlation and air mass back trajectory analysis

机译:中欧乡村背景站点的PM2.5化学成分,包括相关性和空气质量反演轨迹分析

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PM2.5 mass concentrations and chemical compositions sampled over a 13-month period at a Central European rural background site (Kosetice) are presented in this work. A comprehensive chemical analysis of PM2.5 was performed, which provided elemental composition (Al, Si, S, CI, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Se, Br, Rb, Sr, Y, Zr, and Pb) and the concentration of water-soluble inorganic anions (SO42-, NO3-. Cr, Br, and H2PO4-) and cations (Na+, NH4+, K+, Ca2+, and Mg2+), elemental and organic carbon (EC and OC), and levoglucosan. Spearman correlation coefficients between individual chemical species and particle number concentrations were calculated for the following six size ranges: 10-25 nm (N10-25), 25-50 nm (N25-50), 50-80 nm (N50-80), 801-50 nm (N80-150), 150-300 nm (N150-300), and 300-800 nm (N300-800). Average concentrations of individual species were comparable with concentrations reported from similar sites across Central Europe. Organic matter (OM) accounted for 45% of the PM2.5 mass (calculated from OC by a factor of 1.6), while the second most common component were secondary aerosols (SW: 19%, NO3-: 14%, NH4+: 10%), which accounted for 43% of the mass. Based on levoglucosan analysis, 31% of OM was attributed to emissions associated with biomass burning (OMBB). EC concentrations, determined using the EUSAAR_2 thermal optical protocol, contributed 4% to PM2.5 mass. A total of 1% of the mass was attributed to a mineral matter source, while the remaining 6% was from an undetermined mass. Seasonal variations showed highest concentrations of NO; and OMBB in winter, nitrate share in spring, and an increase in percentage of SO42- and mineral matter in summer. The largest seasonal variation was found for species associated with wood and coal combustion (levoglucosan, K+, Zn, Pb, As), which had clear maxima during winter. Correlation analysis of different size fraction particle number concentrations was used to distinguish the influence of fresh, local aerosol and aged, long-range transport aerosol. The influences of different air masses were also investigated. The lowest concentrations of PM2.5 were recorded under the influence of marine air masses from the NW, which were also marked by increased concentrations of marine aerosol. In contrast, the highest concentrations of PM2.5 and most major chemical components were measured during periods when continental easterly air masses were dominant. (C) 2016 Elsevier B.V. All rights reserved.
机译:这项工作介绍了在中欧乡村背景站点(Kosetice)在13个月内采样的PM2.5质量浓度和化学成分。对PM2.5进行了全面的化学分析,提供了元素组成(Al,Si,S,Cl,K,Ca,Ti,V,Cr,Mn,Fe,Ni,Cu,Zn,As,Se,Br, Rb,Sr,Y,Zr和Pb)以及水溶性无机阴离子(SO42-,NO3-,Cr,Br和H2PO4-)和阳离子(Na +,NH4 +,K +,Ca2 +和Mg2 +)的浓度,元素和有机碳(EC和OC)以及左旋葡聚糖。对于以下六个尺寸范围,计算了各个化学物质与颗粒数浓度之间的Spearman相关系数:10-25 nm(N10-25),25-50 nm(N25-50),50-80 nm(N50-80), 801-50 nm(N80-150),150-300 nm(N150-300)和300-800 nm(N300-800)。单个物种的平均浓度与中欧类似地区报告的浓度相当。有机物(OM)占PM2.5质量的45%(从OC计算得出的系数为1.6),而第二常见的成分是次生气溶胶(SW:19%,NO3-:14%,NH4 +:10 %),占质量的43%。根据左旋葡聚糖分析,OM的31%归因于与生物质燃烧(OMBB)相关的排放。使用EUSAAR_2热光学协议确定的EC浓度占PM2.5质量的4%。总共1%的质量归因于矿物质来源,而其余6%来自不确定的质量。季节性变化显示最高浓度的NO。冬季为OMBB,春季为硝酸盐含量,夏季为SO42-和矿物质百分比增加。发现与木材和煤炭燃烧有关的物种(左葡聚糖,K +,Zn,Pb,As)最大的季节变化,在冬季具有明显的最大值。使用不同大小分数颗粒数量浓度的相关分析来区分新鲜的本地气雾剂和老化的远程运输气雾剂的影响。还研究了不同空气质量的影响。在西北地区的海洋空气质量的影响下,记录到最低的PM2.5浓度,其特征还在于海洋气溶胶浓度的增加。相反,在大陆性东风占主导地位的时期,PM2.5和大多数主要化学成分的浓度最高。 (C)2016 Elsevier B.V.保留所有权利。

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