气候变化领域集成服务门户(CCPortal): Spatiotemporal variations in traffic activity and their influence on air pollution levels in communities near highways

CCPortal

DOI	10.1016/j.atmosenv.2020.117758
	Spatiotemporal variations in traffic activity and their influence on air pollution levels in communities near highways
	Filigrana P.; Milando C.; Batterman S.; Levy J.I.; Mukherjee B.; Adar S.D.
发表日期	2020
ISSN	1352-2310
卷号	242
英文摘要	Localized variations in traffic volume and speed can influence air pollutant emissions and corresponding concentrations in nearby communities, but most studies have utilized only aggregated traffic activity data. In this study, we compared the estimated influence of highway traffic activity on concentrations of primary oxides of nitrogen (NOx) and fine particulate matter (PM2.5) in communities near highways using a dispersion model informed by highly spatiotemporally-resolved variations of traffic volume and flow compared to the use of Annual Average Daily Traffic (AADT) data at a few locations. We used two sources of traffic activity data on 500 half-mile roadway segments on the five major highways in the Washington State Puget Sound during 2013. The first consisted of vehicle counts available every half-mile and 5 min; the second was traffic information (e.g., AADT) aggregated across the year and roadway network. Using the Motor Vehicle Emissions Simulator (MOVES) and the Research Line source dispersion model (RLINE), we modeled hourly concentrations of primary NOx and PM2.5 generated by highway traffic at nearly 4000 residences within 1 km of major highways. These concentrations were aggregated to daily and annual average concentrations, which were compared by input data source. At most locations, concentrations of primary NOx and PM2.5 modeled using the resolved traffic data had similar spatial and temporal distributions to concentrations predicted using the AADT data. However, several areas showed large differences. For example, 25% of residences within 150 m of a highway had concentrations that differed by more than 19% (8 ppb) for NOx and 32% (0.7 μg/m3) for PM2.5, and the AADT data consistently predicted lower concentrations than the resolved traffic data. Our findings indicate that temporal and spatial variation in traffic patterns can result in complex spatiotemporal variations of air pollutant concentrations that can be captured with the use of dispersion modeling with the appropriate inputs. The use of spatiotemporally resolved traffic activity data can improve exposure estimates and help reduce exposure measurement error in epidemiological studies, especially in communities near highly congested highways. © 2020 Elsevier Ltd
关键词	dispersion model Exposure assessment RLINE Traffic-generated air pollution Vehicle emissions
语种	英语
scopus关键词	Nitrogen oxides; Air pollutant concentrations; Annual average concentration; Annual average daily traffics; Epidemiological studies; Fine particulate matter (PM2.5); Spatial and temporal distribution; Spatio-temporal variation; Temporal and spatial variation; Air pollution; atmospheric pollution; concentration (composition); particulate matter; road; spatiotemporal analysis; traffic emission; air pollutant; air pollution; air quality; Article; comparative study; controlled study; exhaust gas; highway; motor vehicle; particulate matter; priority journal; quality control; surface property; traffic; urban area; Puget Sound; United States; Washington [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/248929
作者单位	Department of Epidemiology, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109-2029, United States; Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109-2029, United States; Department of Environmental Health, Boston University, 715 Albany St, T4W, Boston, MA 02118-2526, United States; Department of Biostatistics, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109-2029, United States
推荐引用方式 GB/T 7714	Filigrana P.,Milando C.,Batterman S.,et al. Spatiotemporal variations in traffic activity and their influence on air pollution levels in communities near highways[J],2020,242.
APA	Filigrana P.,Milando C.,Batterman S.,Levy J.I.,Mukherjee B.,&Adar S.D..(2020).Spatiotemporal variations in traffic activity and their influence on air pollution levels in communities near highways.ATMOSPHERIC ENVIRONMENT,242.
MLA	Filigrana P.,et al."Spatiotemporal variations in traffic activity and their influence on air pollution levels in communities near highways".ATMOSPHERIC ENVIRONMENT 242(2020).