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Source apportionment of single particles sampled at the industrially polluted town of Port Talbot, United Kingdom by ATOFMS

机译:通过ATOFMS在英国工业污染小镇Port Talbot采样的单个颗粒的源分配

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摘要

Single particle analysis of an industrially polluted atmosphere in Port Talbot, South Wales, United Kingdom was conducted using Aerosol-Time-of-Flight Mass Spectrometry (ATOFMS). During the four week sampling campaign, a total of 5,162,018 particles were sized in the size range 0.2-1.9 μm aerodynamic diameter. Of these, 580,798 were successfully ionized generating mass spectra. K-means clustering employed for analysing ATOFMS data utilized 96% of the hit particles to generate 20 clusters. Similar clusters were merged together and 17 clusters were generated from which 7 main particle groups were identified. The particle classes include: K-rich particles (K-CN, K-NO_3, K-EC, K-Cl-PO_3 and K -HSO_4), aged sea salt (Na-NO_3), silicate dust (Na-HSiO_2), sulphate rich particles (K-HSO_4), nitrate rich particles (AlO-NO_3), Ca particles (Ca-NO_3), carbon-rich particles (Mn-OC, Metallic-EC, EC, EC-NO_3 and OC-EC), and aromatic hydrocarbon particles (Arom-CN, Fe-PAH-NO_3 and PAH-CN). With the aid of wind sector plots, the K-Cl-PO_3 and Na-HSiO_2 particle clusters were related to the steelworks blast furnace/sinter plant while Ca-rich particles arose from blast furnace emissions. K-CN, K-EC, Na-HSiO_2, K-HSO_4, Mn-OC, Arom-CN, Fe-PAH-NO_3, and PAH-CN particles were closely linked with emissions from the cokemaking and mills (hot and cold) steelworks sections. The source factors identified by the ATOFMS were compared with those derived from multivariate analysis using Multilinear Engine (ME-2) applied to filter samples analysed off-line. Both methods of source apportionment identified common source factors including those within the steelworks (blast furnace, sinter, cokemaking), as well as marine, traffic and secondary particles, but quantitative attribution of mass is very different.
机译:使用气溶胶飞行时间质谱仪(ATOFMS)对英国南威尔士州塔尔伯特港的工业污染大气进行了单颗粒分析。在为期四周的采样活动中,总共有5,162,018个颗粒的尺寸在0.2-1.9μm空气动力学直径范围内。其中,580,798个已成功电离,产生质谱。用于分析ATOFMS数据的K均值聚类利用96%的命中粒子生成20个聚类。将相似的簇合并在一起,生成了17个簇,从中识别出7个主要粒子组。颗粒类别包括:富含钾的颗粒(K-CN,K-NO_3,K-EC,K-Cl-PO_3和K -HSO_4),老化的海盐(Na-NO_3),硅酸盐粉尘(Na-HSiO_2),富含硫酸盐的颗粒(K-HSO_4),富含硝酸盐的颗粒(AlO-NO_3),钙颗粒(Ca-NO_3),富含碳的颗粒(Mn-OC,Metallic-EC,EC,EC-NO_3和OC-EC),和芳烃颗粒(Arom-CN,Fe-PAH-NO_3和PAH-CN)。借助风场图,K-Cl-PO_3和Na-HSiO_2颗粒簇与钢铁厂高炉/烧结厂有关,而富钙颗粒则来自高炉排放。 K-CN,K-EC,Na-HSiO_2,K-HSO_4,Mn-OC,Arom-CN,Fe-PAH-NO_3和PAH-CN颗粒与炼焦厂和热炼厂(冷热)的排放密切相关钢铁厂。将通过ATOFMS识别的源因子与使用多元线性引擎(ME-2)从多变量分析中得出的源因子进行比较,该多元线性引擎应用于离线分析的过滤器样本。两种来源分配方法均确定了常见的来源因素,包括炼钢厂(高炉,烧结矿,炼焦)以及海洋,交通和二次颗粒中的那些,但是质量的定量归因差异很大。

著录项

  • 来源
    《Atmospheric environment》 |2014年第11期|155-165|共11页
  • 作者单位

    Division of Environmental Health Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom;

    Division of Environmental Health Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom,Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia;

    Division of Environmental Health Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom;

    Division of Environmental Health Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Single particle; Steelworks; Wind sector; Source contribution; ME-2; ATOFMS;

    机译:单颗粒;钢铁厂;风能部门;来源贡献;ME-2;空中交通管制;

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