气候变化领域集成服务门户(CCPortal): Near-road vehicle emissions air quality monitoring for exposure modeling

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DOI	10.1016/j.atmosenv.2020.117318
	Near-road vehicle emissions air quality monitoring for exposure modeling
	Moutinho J.L.; Liang D.; Golan R.; Sarnat S.E.; Weber R.; Sarnat J.A.; Russell A.G.
发表日期	2020
ISSN	1352-2310
卷号	224
英文摘要	Exposure to vehicular emissions has been linked to numerous adverse health effects. In response to the arising concerns, near-road monitoring is conducted to better characterize the impact of mobile source emissions on air quality and exposure in the near-road environment. An intensive measurement campaign measured traffic-related air pollutants (TRAPs) and related data (e.g., meteorology, traffic, regional air pollutant levels) in Atlanta, along one of the busiest highway corridors in the US. Given the complexity of the near-road environment, the study aimed to compare two near-road monitors, located in close proximity to each other, to assess how observed similarities and differences between measurements at these two sites inform the siting of other near-road monitoring stations. TRAP measurements, including carbon monoxide (CO) and nitrogen dioxide (NO2), are analyzed at two roadside monitors in Atlanta, GA located within 325 m of each other. Both meteorological and traffic conditions were monitored to assess the temporal impact of these factors on traffic-related pollutant concentrations. The meteorological factors drove the diurnal variability of primary pollutant concentration more than traffic count. In spite of their proximity, while the CO and NO2 concentrations were correlated with similar diurnal variations, pollutant concentrations at the two closely sited monitors differed, likely due to the differences in the siting characteristics reducing the dispersion of the primary emissions out of the near-road environment. Overall, the near-road TRAP concentrations at all sites were not as elevated as seen in prior studies, supporting that decreased vehicle emissions have led to significant reductions in TRAP levels, even along major interstates. Further, the differences in the observed levels show that use of single near-road observations will not capture pollutant levels representative of the local near-road environment and that additional approaches (e.g., air quality models) are needed to characterize exposures. © 2020 Elsevier Ltd
关键词	Diurnal profile of traffic emissions Exposure assessment Near-road monitoring Traffic-related air pollutants
语种	英语
scopus关键词	Air quality; Carbon monoxide; Motor transportation; Nitrogen oxides; Roads and streets; Air pollutants; Air quality monitoring; Exposure assessment; Mobile source emissions; Pollutant concentration; Road monitoring; Traffic emissions; Traffic-related pollutants; Pollution detection; black carbon; carbon monoxide; nitric oxide; nitrogen dioxide; nitrogen oxide; ozone; air quality; atmospheric pollution; carbon monoxide; concentration (composition); nitrogen dioxide; pollutant source; pollution exposure; road; traffic emission; air monitoring; Article; circadian rhythm; controlled study; environmental exposure; environmental temperature; exhaust gas; maximum concentration; priority journal; wind speed; Atlanta; Georgia; United States
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/249322
作者单位	School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, United States; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, United States; Department of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel
推荐引用方式 GB/T 7714	Moutinho J.L.,Liang D.,Golan R.,et al. Near-road vehicle emissions air quality monitoring for exposure modeling[J],2020,224.
APA	Moutinho J.L..,Liang D..,Golan R..,Sarnat S.E..,Weber R..,...&Russell A.G..(2020).Near-road vehicle emissions air quality monitoring for exposure modeling.ATMOSPHERIC ENVIRONMENT,224.
MLA	Moutinho J.L.,et al."Near-road vehicle emissions air quality monitoring for exposure modeling".ATMOSPHERIC ENVIRONMENT 224(2020).