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首页> 外文期刊>Atmospheric environment >Source identification of personal exposure to fine particulate matter (PM_(2.5)) among adult residents of Hong Kong
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Source identification of personal exposure to fine particulate matter (PM_(2.5)) among adult residents of Hong Kong

机译：本港成年居民个人接触细颗粒物（PM_（2.5））的来源

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摘要

Epidemiological studies provide evidence of the harmful effects of source-specific fine particulate matter (PM2.5) on human health. Studies regarding relative contributions of multiple sources to personal exposure are limited and inconsistent. Personal exposure monitoring for PM2.5 was conducted in 48 adult subjects (ages 18-63 years) in Hong Kong between June 2014 and March 2015. We identified seven sources of personal PM2.5 exposure using Positive Matrix Factorization (PMF). These sources included regional pollution (associated with coal combustion and biomass burning), secondary sulfate, tailpipe exhaust, secondary nitrate, crustal/road dust, and shipping emission sources. For personal PM2.5 exposure, one additional source related to individuals' activities was found: non-tailpipe pollution (characterized by Fe, Mn, Cr, Cu, Sr). We also applied principal component analysis (PCA) for PM2.5 source identification. The results revealed similar factor/component profiles using PMF and PCA, with some discrepancies in the number of factors. PCA/absolute principal component scores (PCA/APC5) coupled with a linear mixed-effects model (LMM) was applied to the same dataset for source apportionment, adjusting for temperature and relative humidity. Furthermore, stratified PCA/APCs-LMM models were applied to estimate season- and group-specific source contributions of personal PM2.5 exposure. A mixed source contributions of secondary sulfate, secondary nitrate, and regional pollution were shown (35.1-43.6%), with no seasonal or subject group differences (p > 0.05). Shipping emissions were ubiquitous, contributing 6.3-8.8% of personal PM2.5 exposure for all subjects. Tailpipe exhaust and traffic-related particles varied by season (p < 0.01) and subject group (p < 0.05). Caution should be taken when using source-specific PM2.5 as proxies for the corresponding personal exposures in epidemiological studies.
机译：流行病学研究提供了特定来源的细颗粒物（PM2.5）对人类健康的有害影响的证据。关于多种来源对个人暴露的相对贡献的研究是有限且不一致的。在2014年6月至2015年3月之间，对香港的48位成人受试者（年龄在18-63岁之间）进行了PM2.5的个人暴露监测。我们使用正矩阵因子分解（PMF）确定了7个人PM2.5暴露来源。这些污染源包括区域污染（与燃煤和生物质燃烧有关），二次硫酸盐，尾气排放，二次硝酸盐，地壳/道路扬尘以及运输排放源。对于个人PM2.5暴露，发现了与个人活动有关的另一种来源：非尾气污染（以Fe，Mn，Cr，Cu，Sr为特征）。我们还将主成分分析（PCA）应用于PM2.5来源识别。结果显示使用PMF和PCA的相似的因子/组分概况，但因子数目存在一些差异。将PCA /绝对主成分评分（PCA / APC5）加上线性混合效应模型（LMM）应用于同一数据集以进行源分配，并调整温度和相对湿度。此外，将分层的PCA / APCs-LMM模型应用于估计个人PM2.5暴露的季节和特定组来源的贡献。结果显示，次生硫酸盐，次生硝酸盐和区域污染的混合源贡献（35.1-43.6％），没有季节或主题组差异（p> 0.05）。船舶排放物无处不在，占所有受试者个人PM2.5暴露的6.3-8.8％。尾气排放和交通相关颗粒随季节（p <0.01）和受试者组（p <0.05）而变化。在流行病学研究中使用特定于源的PM2.5作为相应个人暴露的代理时，应谨慎行事。

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  • 来源
    《Atmospheric environment》 |2019年第12期|116999.1-116999.14|共14页
  • 作者

    Chen Xiao-Cui; Ward Tony J.; Cao Jun-Ji; Lee Shun-Cheng; Lau Ngar-Cheung; Yim Steve H. L.; Ho Kin-Fai;

  • 作者单位

    Chinese Univ Hong Kong Inst Environm Energy & Sustainabil Hong Kong Peoples R China;

    Univ Montana Sch Publ & Community Hlth Sci Missoula MT 59812 USA;

    Chinese Acad Sci Inst Earth Environm Key Lab Aerosol SKLLQG Xian Shaanxi Peoples R China|Xi An Jiao Tong Univ Inst Global Environm Change Xian Shaanxi Peoples R China;

    Hong Kong Polytech Univ Dept Civil & Environm Engn Kowloon Hong Kong Peoples R China;

    Chinese Univ Hong Kong Inst Environm Energy & Sustainabil Hong Kong Peoples R China|Chinese Univ Hong Kong Dept Geog & Resource Management Hong Kong Peoples R China;

    Chinese Univ Hong Kong Inst Environm Energy & Sustainabil Hong Kong Peoples R China|Chinese Acad Sci Inst Earth Environm Key Lab Aerosol SKLLQG Xian Shaanxi Peoples R China|Chinese Univ Hong Kong Jockey Club Sch Publ Hlth & Primary Care Hong Kong Peoples R China|Chinese Univ Hong Kong Shenzhen Res Inst Shenzhen Municipal Key Lab Hlth Risk Anal Shenzhen Guangdong Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Personal fine particles exposure; Ambient air pollution; Positive matrix factorization; Principal component analysis/absolute principal component scores; Mixed-effects model;

    机译：个人细颗粒物暴露;环境空气污染;正矩阵分解;主成分分析/绝对主成分评分;混合效应模型;

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