气候变化领域集成服务门户(CCPortal): Source-resolved variability of fine particulate matter and human exposure in an urban area

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DOI	10.5194/acp-22-2011-2022
	Source-resolved variability of fine particulate matter and human exposure in an urban area
	Rivera, Pablo Garcia; Dinkelacker, Brian T.; Kioutsioukis, Ioannis; Adams, Peter J.; Pandis, Spyros N.
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	2011
结束页码	2027
卷号	22 期号:3 页码:17
英文摘要	Increasing the resolution of chemical transport model (CTM) predictions in urban areas is important to capture sharp spatial gradients in atmospheric pollutant concentrations and better inform air quality and emissions controls policies that protect public health. The chemical transport model PMCAMx (Particulate Matter Comprehensive Air quality Model with Extensions) was used to assess the impact of increasing model resolution on the ability to predict the source-resolved variability and population exposure to PM2.(5) at 36 x 36, 12 x 12, 4 x 4, and 1 x1 km resolutions over the city of Pittsburgh during typical winter and summer periods (February and July 2017). At the coarse resolution, county-level differences can be observed, while increasing the resolution to 12 x 12 km resolves the urban-rural gradient. Increasing resolution to 4 x 4 km resolves large stationary sources such as power plants, and the 1 x 1 km resolution reveals intra-urban variations and individual roadways within the simulation domain. Regional pollutants that exhibit low spatial variability such as PM2.5 nitrate show modest changes when increasing the resolution beyond 12 x 12 km. Predominantly local pollutants such as elemental carbon and primary organic aerosol have gradients that can only be resolved at the 1 x 1 km scale. Contributions from some local sources are enhanced by weighting the average contribution from each source by the population in each grid cell. The average population-weighted PM2.5 concentration does not change significantly with resolution, suggesting that extremely high resolution PM2.5 predictions may not be necessary for effective urban epidemiological analysis at the county level.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000758215700001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273377
作者单位	Carnegie Mellon University; University of Patras; Carnegie Mellon University; Carnegie Mellon University; Foundation for Research & Technology - Hellas (FORTH); Institute of Chemical Engineering Sciences (ICE-HT); University of Patras
推荐引用方式 GB/T 7714	Rivera, Pablo Garcia,Dinkelacker, Brian T.,Kioutsioukis, Ioannis,et al. Source-resolved variability of fine particulate matter and human exposure in an urban area[J],2022,22(3):17.
APA	Rivera, Pablo Garcia,Dinkelacker, Brian T.,Kioutsioukis, Ioannis,Adams, Peter J.,&Pandis, Spyros N..(2022).Source-resolved variability of fine particulate matter and human exposure in an urban area.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(3),17.
MLA	Rivera, Pablo Garcia,et al."Source-resolved variability of fine particulate matter and human exposure in an urban area".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.3(2022):17.