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交通模式对马萨诸塞州罗克斯伯里颗粒物和多环芳烃浓度的影响。

Influence of traffic patterns on particulate matter and polycyclic aromatic hydrocarbon concentrations in Roxbury, Massachusetts.

作者信息

Levy Jonathan I, Bennett Deborah H, Melly Steven J, Spengler John D

机构信息

Department of Environmental Health, Harvard School of Public Health, Boston, MA 02215, USA.

出版信息

J Expo Anal Environ Epidemiol. 2003 Sep;13(5):364-71. doi: 10.1038/sj.jea.7500289.

Abstract

Vehicle emissions have been associated with adverse health effects in multiple epidemiological studies, but the sources or constituents responsible have not been established. Characterization of vehicle-related exposures requires detailed information on spatial and temporal trends of various pollutants and the ability to predict exposures in unmonitored settings. To address these issues, in the summer of 2001 we measured continuously particle-bound polycyclic aromatic hydrocarbons (PAHs), ultrafine particles, and PM(2.5) at a number of sites in Roxbury, a neighborhood of Boston, Massachusetts with significant diesel and gasoline-fueled traffic. We took measurements at the side of the road and at varying distances from the road, with simultaneous collection of traffic counts and meteorological conditions. Across all nine sites, median roadside concentrations were 8 ng/m(3) of particle-bound PAHs (range: 4-57), 16,000 ultrafine particles/cm(3) (range: 11,000-53,000), and 54 microg/m(3) of PM(2.5) as measured with a DustTrak (range: 12-86). Concentrations of all pollutants were lower at greater distances from the road, upwind, and at higher wind speeds, with greater concentration gradients for PAHs and ultrafine particles. In linear mixed effects regression models accounting for temporal autocorrelation, large diesel vehicle counts were significantly associated with roadside concentrations of PAHs (P=0.02), with a moderate association with ultrafine particles and little relation with PM(2.5). Although more comprehensive information would be needed for epidemiological applications, these data demonstrate significant spatial and temporal heterogeneity for traffic-related pollutants during the summer in an urban center, with our monitoring and analytical methodology helping to inform source attribution.

摘要

多项流行病学研究表明,车辆排放与不良健康影响有关,但具体的排放源或成分尚未明确。要确定与车辆相关的暴露情况,需要详细了解各种污染物的时空趋势,并具备预测未监测环境中暴露情况的能力。为解决这些问题,2001年夏季,我们在马萨诸塞州波士顿市罗克斯伯里区的多个地点,对颗粒结合多环芳烃(PAHs)、超细颗粒和PM(2.5)进行了连续测量。该地区柴油和汽油驱动的交通流量较大。我们在路边及距道路不同距离处进行测量,同时收集交通流量数据和气象条件。在所有九个监测点,路边颗粒结合PAHs的中位数浓度为8 ng/m(3)(范围:4 - 57),超细颗粒为16,000个/cm(3)(范围:11,000 - 53,000),用DustTrak测量的PM(2.5)为54 μg/m(3)(范围:12 - 86)。在距道路更远、上风方向以及风速较高的地方,所有污染物的浓度均较低,PAHs和超细颗粒的浓度梯度更大。在考虑时间自相关的线性混合效应回归模型中,大型柴油车流量与路边PAHs浓度显著相关(P = 0.02),与超细颗粒有中度关联,与PM(2.5)关系不大。尽管流行病学应用需要更全面的信息,但这些数据表明,夏季城市中心与交通相关的污染物存在显著的时空异质性,我们的监测和分析方法有助于确定污染源。

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