Development of a distance-to-roadway proximity metric to compare near-road pollutant levels to a central site monitor

被引:34
作者
Barzyk, Timothy M. [1 ]
George, Barbara Jane [1 ]
Vette, Alan F. [1 ]
Williams, Ronald W. [1 ]
Croghan, Carry W. [1 ]
Stevens, Carvin D. [1 ]
机构
[1] US EPA, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA
关键词
Near-road; VOC; Effective distance; Central site monitor; VOLATILE ORGANIC-COMPOUNDS; AMBIENT NITROGEN-DIOXIDE; AIR-POLLUTION; RESPIRATORY SYMPTOMS; ULTRAFINE PARTICLES; PARTICULATE MATTER; SIZE DISTRIBUTION; MAIN ROADS; MAJOR ROAD; EXPOSURE;
D O I
10.1016/j.atmosenv.2008.11.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The primary objective of the Detroit Exposure and Aerosol Research Study (DEARS) was to compare air pollutant concentrations measured at various neighborhoods, or exposure monitoring areas (EMAs), throughout a major metropolitan area to levels measured at a central site or community monitor. One of the EMAs was located near a busy freeway (annual average daily traffic (AADT) of similar to 130,000) so that impacts of mobile sources could be examined, Air pollution concentrations from the roadway-proximate sites were compared to the central site monitor. The volatile organic compounds (VOCs) selected (benzene, toluene, ethylbenzene, m,p- and o-xylene, 1,3 butadiene, 13,5-trimethylbenzene and 4-ethyltoluene) are typically associated with mobile sources. Gradients were also evident that demonstrated the amplification of pollutant levels near the roadway compared to the community monitor. A novel distance-to-roadway proximity metric was developed to plot the measurements and model these gradients. Effective distance represents the actual distance an air parcel travels from the middle of a roadway to a site and varies as a function of wind direction, whereas perpendicular distance is a fixed distance oriented normal to the roadway. Perpendicular distance is often used as a proxy for exposures to traffic emissions in epidemiological Studies. Elevated concentrations of all the compounds were found for both a Summer and winter season. Effective distance was found to be a statistically significant (p < 0.05) univariate predictor for concentrations of toluene, ethylbenzene, m,p-xylene and o-xylene for Summer 2005. For each of these pollutants, effective distance yielded lower p-values than the corresponding perpendicular distance models, and model fit improved. Results demonstrate that this near-road EMA had elevated levels of traffic-related VOCs compared to the community monitor, and that effective distance was a more accurate predictor of the degree to which they were elevated as a function of distance. Effective distance produced a range of distance-to-roadway Values for a single site based on wind direction, thus increasing the number and range of values that Could be used to plot and predict relative differences in Pollutant concentrations between two sites. Published by Elsevier Ltd.
引用
收藏
页码:787 / 797
页数:11
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