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首页> 外文期刊>Environmental Science & Technology >Mobile and Fixed-Site Measurements To Identify Spatial Distributions of Traffic-Related Pollution Sources in Los Angeles
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Mobile and Fixed-Site Measurements To Identify Spatial Distributions of Traffic-Related Pollution Sources in Los Angeles

机译：移动和固定站点测量，以识别洛杉矶与交通相关的污染源的空间分布

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摘要

Mobile monitoring and fixed-site monitoring using passive sampling devices (PSD) are popular air pollutant measurement techniques with complementary strengths and weaknesses. This study investigates the utility of combining data from concurrent 2-week mobile monitoring and fixed-site PSD campaigns in Los Angeles in the summer and early spring to identify sources of traffic-related air pollutants (TRAP) and their spatial distributions. There were strong to moderate correlations between mobile and fixed-site PSD measurements of both NO_(2) and NO_( x ) in the summer and spring (Pearson’s r between 0.43 and 0.79), suggesting that the two data sets can be reliably combined for source apportionment. PCA identified the major TRAP sources as light-duty vehicle emissions, diesel exhaust, crankcase vent emissions, and an independent source of combustion-derived ultrafine particle emissions. The component scores of those four sources at each site were significantly correlated across the two seasons (Pearson’s r between 0.58 and 0.79). Spatial maps of absolute principal component scores showed all sources to be most prominent near major roadways and the central business district and the ultrafine particle source being, in addition, more prominent near the airport. Mobile monitoring combined with fixed-site PSD sampling can provide high spatial resolution estimates of TRAP and can reveal underlying sources of exposure variability.
机译：使用无源采样设备（PSD）进行移动监视和固定站点监视是流行的空气污染物测量技术，具有互补的优点和缺点。这项研究调查了夏季和初春在洛杉矶同时进行的为期两周的移动监测和固定站点PSD运动数据的结合，以识别与交通有关的空气污染物（TRAP）的来源及其空间分布。在夏季和春季，NO_（2）和NO_（x）的移动和固定位置PSD测量值之间存在强到中等的相关性（Pearson r在0.43和0.79之间），表明这两个数据集可以可靠地组合用于源分配。 PCA确定了TRAP的主要排放源为轻型车辆排放，柴油机排放，曲轴箱通风口排放以及燃烧衍生的超细颗粒物排放的独立排放源。在两个季节中，每个站点的这四个来源的成分得分均显着相关（Pearson的r在0.58至0.79之间）。绝对主成分得分的空间图显示，所有来源在主要道路和中央商务区附近最为突出，此外，超细颗粒来源在机场附近更为突出。移动监测与固定站点PSD采样相结合可以提供TRAP的高空间分辨率估算，并可以揭示潜在的暴露变化源。

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  • 来源
    《Environmental Science & Technology》 |2018年第5期|2844-2853|共10页
  • 作者

    Mei W. Tessum; Timothy Larson; Timothy R. Gould; Christopher D. Simpson; Michael G. Yost; Sverre Vedal;

  • 作者单位

    Department of Environmental and Occupational Health Sciences, University of Washington, Box 357234, Seattle, Washington 98198, United States;

    Department of Environmental and Occupational Health Sciences, University of Washington, Box 357234, Seattle, Washington 98198, United States,Department of Civil & Environmental Engineering, University of Washington, Box 352700, Seattle, Washington 98198, United States;

    Department of Civil & Environmental Engineering, University of Washington, Box 352700, Seattle, Washington 98198, United States;

    Department of Environmental and Occupational Health Sciences, University of Washington, Box 357234, Seattle, Washington 98198, United States;

    Department of Environmental and Occupational Health Sciences, University of Washington, Box 357234, Seattle, Washington 98198, United States;

    Department of Environmental and Occupational Health Sciences, University of Washington, Box 357234, Seattle, Washington 98198, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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