Accurately characterizing human exposures to traffic-related air pollutants (TRAPs) is critical to public health protection. However, quantifying exposure to this single source is challenging, given its extremely heterogeneous chemical composition. Efforts using single-species tracers of TRAP are, thus, lacking in their ability to accurately reflect exposures to this complex mixture. There have been recent discussions centered on adopting a multipollutant perspective for sources with many emitted pollutants to maximize the benefits of control expenditures as well as to minimize population and ecosystem exposure. As part of a larger study aimed to assess a complete emission-to-exposure pathway of primary traffic pollution and understand exposure of individuals in the near-road environment, an intensive field campaign measured TRAPs and related data (e.g., meteorology, traffic counts, and regional air pollutant levels) in Atlanta along one of the busiest highway corridors in the US. Given the dynamic nature of the near-road environment, a multipollutant exposure metric, the Integrated Mobile Source Indicator (IMSI), which was generated based on emissions-based ratios, was calculated and compared to traditional single-species methods for assessing exposure to mobile source emissions. The current analysis examined how both traditional and non-traditional metrics vary spatially and temporally in the near-road environment, how they compare with each other, and whether they have the potential to offer more accurate means of assigning exposures to primary traffic emissions. The results indicate that compared to the traditional single pollutant specie, the multipollutant IMSI metric provided a more spatially stable method for assessing exposure, though variations occurred based on location with varying results among the six sites within a kilometer of the highway.

中文翻译：

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评估用于表征近道路环境中与交通相关的空气污染暴露的多污染物指标。

准确表征人类与交通相关的空气污染物（TRAP）的暴露量对公共健康保护至关重要。但是，鉴于其单一的化学成分极其不同，量化暴露于这种单一来源的暴露是一项挑战。因此，使用TRAP的单一物种示踪剂的努力缺乏准确反映这种复杂混合物暴露的能力。最近的讨论集中在对具有许多排放污染物的源采用多污染物的观点，以最大程度地提高控制支出的效益以及最小化人口和生态系统的暴露。作为一项较大的研究的一部分，该研究旨在评估主要交通污染的完整的排放-接触途径，并了解个人在近道路环境中的暴露程度，一项密集的野外活动在美国最繁忙的高速公路走廊之一上测量了亚特兰大的TRAPs和相关数据（例如，气象学，交通量和区域空气污染物水平）。考虑到近路环境的动态性质，计算了一种基于污染物排放比的综合污染物暴露指标，即综合移动源指标（IMSI），并将其与评估污染物暴露的传统单物种方法进行了比较源排放。当前的分析研究了传统和非传统指标在近道路环境中如何在空间和时间上变化，如何相互比较，以及它们是否有潜力提供将主要交通排放量分配给暴露的更准确方法。