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首页> 外文期刊>Environmental Science & Technology >Within-City Spatial Variations in Multiple Measures of PM_(2.5) Oxidative Potential in Toronto, Canada
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Within-City Spatial Variations in Multiple Measures of PM_(2.5) Oxidative Potential in Toronto, Canada

机译：加拿大多伦多市PM_（2.5）氧化电位的多种测量中的城市内部空间变化

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摘要

Few studies have characterized within-city spatial variations in the oxidative potential of fine particulate air pollution (PM2.5). In this study, we evaluated multiple measures of PM2.5 oxidative potential across Toronto, Canada (2016-2017), including glutathione/ascorbate-related oxidative potential (OPGSH and OPAA) and dithiothreitol depletion (OPDTT). Integrated 2-week samples were collected from 67 sites in summer and 42 sites in winter. Multivariable linear models were developed to predict OP based on various land use/traffic factors, and PM2.5 metals and black carbon were also examined. All three measures of PM2.5 oxidative potential varied substantially across Toronto. OPAA and OPDTT were primarily associated with traffic-related components of PM2.5 (i.e., Fe, Cu, and black carbon) whereas OPGSH was not a strong marker for traffic during either season. During summer, multivariable models performed best for OPAA (R-CV(2) = 0.48) followed by OPDTT (R-CV(2) = 0.32) and OPGSH (R-CV(2) = 0.22). During winter, model performance was best for OPDTT (R-CV(2) = 0.55) followed by OPGsH (R-CV(2) = 0.50) and OPAA (R-CV(2) or 0.23). Model parameters varied between seasons, and between-season differences in PM2.5 mass concentrations were weakly/moderately correlated with seasonal differences in OP. Our findings highlight substantial within-city variations in PM2.5 oxidative potential. More detailed information is needed on local sources of air pollution to improve model performance.
机译：很少有研究描述城市内细颗粒空气污染（PM2.5）氧化潜力的空间变化。在这项研究中，我们评估了加拿大多伦多市（2016-2017）的PM2.5氧化电位的多种测量方法，包括谷胱甘肽/抗坏血酸相关的氧化电位（OPGSH和OPAA）和二硫苏糖醇消耗（OPDTT）。夏季从67个地点收集了2周的综合样本，冬季从42个地点收集了样本。建立了多变量线性模型以根据各种土地利用/交通因素来预测OP，还检查了PM2.5金属和黑碳。在多伦多，PM2.5氧化电位的所有三种测量方法均存在很大差异。 OPAA和OPDTT主要与交通相关的PM2.5成分（即铁，铜和黑碳）相关，而OPGSH并不是这两个季节交通的重要标志。在夏季，多变量模型对OPAA（R-CV（2）= 0.48）表现最佳，其次是OPDTT（R-CV（2）= 0.32）和OPGSH（R-CV（2）= 0.22）。在冬季，模型性能最佳的是OPDTT（R-CV（2）= 0.55），其次是OPGsH（R-CV（2）= 0.50）和OPAA（R-CV（2）或0.23）。模型参数随季节而变化，并且PM2.5质量浓度的季节间差异与OP的季节差异弱/中度相关。我们的发现强调了城内PM2.5氧化电位的巨大变化。需要有关本地空气污染源的更多详细信息，以提高模型性能。

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  • 来源
    《Environmental Science & Technology》 |2019年第5期|2799-2810|共12页
  • 作者

    Weichenthal Scott; Shekarrizfard Maryam; Traub Alison; Kulka Ryan; Al-Rijleh Kenan; Anowar Sabreena; Evans Greg; Hatzopoulou Marianne;

  • 作者单位

    McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ H3A 1A2, Canada|Hlth Canada, Air Hlth Sci Div, Ottawa, ON K1A 0K9, Canada;

    Univ Toronto, Dept Civil Engn, Toronto, ON M5S 1A4, Canada;

    Univ Toronto, Dept Chem Engn & Appl Chem, Toronto, ON M5S 3E5, Canada;

    Hlth Canada, Air Hlth Sci Div, Ottawa, ON K1A 0K9, Canada;

    Univ Toronto, Dept Civil Engn, Toronto, ON M5S 1A4, Canada;

    Univ Toronto, Dept Civil Engn, Toronto, ON M5S 1A4, Canada;

    Univ Toronto, Dept Chem Engn & Appl Chem, Toronto, ON M5S 3E5, Canada;

    Univ Toronto, Dept Civil Engn, Toronto, ON M5S 1A4, Canada;

  • 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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