Identifying air pollution source impacts in urban communities using mobile monitoring

被引:50
作者
Deshmukh, Parikshit [1 ]
Kimbrough, Sue [2 ]
Krabbe, Stephen [3 ]
Logan, Russell [1 ]
Isakov, Vlad [2 ]
Baldauf, Richard [2 ,4 ]
机构
[1] Jacobs Technol Inc, 109 TW Alexander Dr, Res Triangle Pk, NC 27711 USA
[2] US Environm Protect Agcy, Off Res & Dev, 109 TW Alexander Dr, Res Triangle Pk, NC 27711 USA
[3] US Environm Protect Agcy, Reg 7,300 Minnesota Ave, Kansas City, KS 66101 USA
[4] US Environm Protect Agcy, Off Transportat & Air Qual, Natl Vehicle & Fuels Emiss Lab, 2000 Traverwood Dr, Ann Arbor, MI 48105 USA
关键词
Near-source; Rail yard; Traffic; Particulate matter; Ultraflne PM; Black carbon; NO2; Mobile monitoring; NEAR-ROAD; QUALITY;
D O I
10.1016/j.scitotenv.2020.136979
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With increasing population, rapid urbanization, and increased migration to cities, the local impacts of increasing transportation and industrial-related air pollution are of growing concern worldwide. Elevated air pollution concentrations near these types of sources have been linked to adverse health effects including acute and chronic respiratory and cardiovascular diseases. Mobile monitoring has proven to be a useful technique to characterize spatial variability of air pollution in urban areas and pollution concentration gradients from specific sources. A study was conducted in the Kansas City, Kansas (USA) metropolitan area using mobile monitoring to characterize the spatial variability and gradients of air pollutants to identify the contribution of multiple sources on community-level air quality in a complex urban environment. Measurements focused on nitrogen dioxide (NO2), black carbon (BC), and ultrafine particulate matter (UFP). Mobile monitoring showed that median concentrations of these pollutants ranged by up to a factor of three between the communities, with individual measurements ranging over an order of magnitude within the community. Evaluating these air quality measurements with wind direction data highlighted the influence of specific and combinations of air pollution sources on these elevated concentrations, which can provide valuable information to environmental and public health officials in prioritizing and implementing cost-effect air quality management strategies to reduce exposures for urban populations. (C) 2020 Published by Elsevier B.V.
引用
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页数:14
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