globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2019.117113
论文题名:
Traffic contribution to PM2.5 increment in the near-road environment
作者: Askariyeh M.H.; Zietsman J.; Autenrieth R.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 224
语种: 英语
英文关键词: Air pollution ; Air quality ; Air quality standards ; Environmental Protection Agency ; Linear regression ; Monitoring ; Particles (particulate matter) ; Pollution detection ; Telecommunication traffic ; Wind ; Concentration prediction ; Fine particulate matter (PM2.5) ; Multiple linear regression models ; National ambient air quality standards ; Near-road ; Particulate Matter ; United states environmental protection agencies ; Wind speed and directions ; Roads and streets ; air quality ; atmospheric pollution ; concentration (composition) ; environmental protection ; particulate matter ; roadside environment ; traffic emission ; urban area ; wind velocity ; air pollutant ; air quality ; ambient air ; article ; data analysis ; government ; human ; long term exposure ; particulate matter ; prediction ; quantitative analysis ; Texas ; urban area ; wind speed ; Houston County [Texas] ; Texas ; United States
学科: Air pollution ; Monitoring ; Near-road ; Particulate matter ; Traffic
中文摘要: A growing number of studies have reported the adverse health effects of long-term exposure to air pollutants, especially fine particulate matter (PM2.5). Vehicular emission sources have been shown to contribute to elevated air pollution concentrations in the near-road environment, including PM2.5, based on monitoring data collected mainly during short-term campaigns. The United States Environmental Protection Agency (EPA) added near-road monitors to its national network to collect long-term National Ambient Air Quality Standard (NAAQS)–comparable data in the near-road environment. The EPA also mandated inclusion of near-road monitoring data in the Air Quality Index to reflect the elevated level of near-road PM2.5 concentrations to which millions of people in major urban areas are exposed to on a daily basis. For the first time, PM2.5 data collected at one of these near-road monitors were compared with those of other NAAQS monitors during 2016 in Houston, Texas. One of these NAAQS monitors was selected based on EPA guidance for quantitative hotspot analyses of particulate matter to represent background concentrations. The near-road PM2.5 increment was statistically significant. The traffic contribution to 24-h PM2.5 increment in the near-road environment was estimated to be about 23% of background concentration, which is close to estimates given by previous studies (22%) and is greater than a recent estimate based on a national-scale data analysis (17%), emphasizing the importance of background monitor selection criteria. Wind speed and direction were shown to have a considerable effect on PM2.5 increment in the near-road environment. A multiple linear regression model was developed to predict 24-h near-road PM2.5 concentrations using background PM2.5 concentration, wind speed, and wind direction. This model explained 83% of the variability of 24-h PM2.5 concentrations in the near-road environment and showed improvement in near-road concentration predictions when accounting for wind speed and wind direction. © 2019
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160490
Appears in Collections:气候变化与战略

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作者单位: AKRF, Inc., New York, NY 10016-8012, United States; Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH), Texas A&M Transportation Institute, Bryan, TX 77807-3135, United States; Zachry Department of Civil Engineering, Texas A&M University, College StationTX 77843-3136, United States

Recommended Citation:
Askariyeh M.H.,Zietsman J.,Autenrieth R.. Traffic contribution to PM2.5 increment in the near-road environment[J]. Atmospheric Environment,2020-01-01,224
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