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首页> 外文期刊>The Science of the Total Environment >Source apportionment of PM10, organic carbon and elemental carbon at Swiss sites: An intercomparison of different approaches
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Source apportionment of PM10, organic carbon and elemental carbon at Swiss sites: An intercomparison of different approaches

机译:瑞士工厂中PM10,有机碳和元素碳的来源分配:不同方法的比较

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摘要

In this study, the results of source apportionment of particulate matter (PM10), organic carbon (OC), and elemental carbon (EC) - as obtained through different approaches at different types of sites (urban background, urban roadside, and two rural sites in Switzerland) - are compared. The methods included in this intercomparison are positive matrix factorisation modelling (PMF, applied to chemical composition data including trace elements, inorganic ions, OC, and EC), molecular marker chemical mass balance modelling (MM-CMB), and the aethalometer model (AeM). At all sites, the agreement of the obtained source contributions was reasonable for OC, EC, and PM10. Based on an annual average, and at most of the considered sites, secondary organic carbon (SOC) is the component with the largest contribution to total OC; the most important primary source of OC is wood combustion, followed by road traffic. Secondary aerosols predominate in PM10. All considered techniques identified road traffic as the dominant source of EC, while wood combustion emissions are of minor importance for this constituent. The intercomparison of different source apportionment approaches is helpful to identify the strengths and the weaknesses of the different methods. Application of PMF has limitations when source emissions have a strong temporal correlation, or when meteorology has a strong impact on PM variability. In these cases, the use of PMF can result in mixed source profiles and consequently in the under- or overestimation of the real-world sources. The application of CMB models can be hampered by the unavailability of source profiles and the non-representativeness of the available profiles for local source emissions. This study also underlines that chemical transformations of molecular markers in the atmosphere can lead to the underestimation of contributions from primary sources, in particular during the summer period or when emission sources are far away from the receptor sites.
机译:在这项研究中,颗粒物质(PM10),有机碳(OC)和元素碳(EC)的源分配结果是通过不同方法在不同类型的场所(城市背景,城市路边和两个农村场所)获得的在瑞士)-比较。这种比对中包括的方法是正矩阵分解模型(PMF,应用于包括痕量元素,无机离子,OC和EC的化学成分数据),分子标记物化学质量平衡模型(MM-CMB)和烟度计模型(AeM )。在所有站点,对于OC,EC和PM10,获得的源贡献的协议都是合理的。根据年度平均值以及大多数考虑的地点,次要有机碳(SOC)对总OC的贡献最大; OC的最重要的主要来源是木材燃烧,其次是道路交通。二次气溶胶在PM10中占主导地位。所有经过考虑的技术都将道路交通确定为EC的主要来源,而木材燃烧排放对这一组成部分的重要性较小。不同来源分配方法的比较有助于确定不同方法的优点和缺点。当源排放物具有强烈的时间相关性或气象对PM变异性有很大影响时,PMF的应用将受到限制。在这些情况下,使用PMF可能会导致混合的源配置文件,从而导致对现实世界源的估计过低或过高。 CMB模型的应用可能会受到源概要文件不可用和本地源排放可用概要文件的不具代表性的阻碍。这项研究还强调,大气中分子标记物的化学转化会导致低估主要来源的贡献,特别是在夏季或排放源远离受体位置的时候。

著录项

  • 来源
    《The Science of the Total Environment 》 |2013年第1期| 99-108| 共10页
  • 作者单位

    Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Air Pollution and Environmental Technology, CH-8600 Diibendorf, Switzerland;

    Universite de Savoie, LCME, F-73376 Le Bourget-du-Lac, France,Universite Joseph Fourier-Grenoble 1, CNRS, LGGE-UMR 5183, F-38041 Grenoble, France;

    Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Air Pollution and Environmental Technology, CH-8600 Diibendorf, Switzerland;

    Universite de Savoie, LCME, F-73376 Le Bourget-du-Lac, France;

    Universite Joseph Fourier-Grenoble 1, CNRS, LGGE-UMR 5183, F-38041 Grenoble, France;

    Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Air Pollution and Environmental Technology, CH-8600 Diibendorf, Switzerland;

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

    PM10; OC; EC; Receptor modelling; PMF; CMB;

    机译:PM10;超频;EC;受体建模;PMF;招商银行;

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