GSTDTAP  > 地球科学
DOI10.5194/acp-19-9399-2019
Predicted ultrafine particulate matter source contribution across the continental United States during summertime air pollution events
Venecek, Melissa A.1; Yu, Xin2; Kleeman, Michael J.2
2019-07-23
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2019
卷号19期号:14页码:9399-9412
文章类型Article
语种英语
国家USA
英文摘要

The regional concentrations of airborne ultrafine particulate matter mass (D-p < 0.1 mu m; PM0.1) were predicted in 39 cities across the United States (US) during summertime air pollution episodes. Calculations were performed using a regional source-oriented chemical transport model with 4 km spatial resolution operating on the National Emissions Inventory created by the U.S. Environmental Protection Agency (EPA). Measured source profiles for particle size and composition between 0.01 and 10 mu m were used to translate PM total mass to PM0.1. Predicted PM0.1 concentrations exceeded 2 mu g m(-3) during summer pollution episodes in major urban regions across the US including Los Angeles, the San Francisco Bay Area, Houston, Miami, and New York. PM0.1 spatial gradients were sharper than PM2.5 spatial gradients due to the dominance of primary aerosol in PM0.1. Artificial source tags were used to track contributions to primary PM0.1 and PM2.5 from 15 source categories. On-road gasoline and diesel vehicles made significant contributions to regional PM0.1 in all 39 cities even though peak contributions within 0.3 km of the roadway were not resolved by the 4 km grid cells. Cooking also made significant contributions to PM0.1 in all cities but biomass combustion was only important in locations impacted by summer wildfires. Aviation was a significant source of PM0.1 in cities that had airports within their urban footprints. Industrial sources, including cement manufacturing, process heating, steel foundries, and paper and pulp processing, impacted their immediate vicinity but did not significantly contribute to PM0.1 concentrations in any of the target 39 cities. Natural gas combustion made significant contributions to PM0.1 concentrations due to the widespread use of this fuel for electricity generation, industrial applications, residential use, and commercial use. The major sources of primary PM0.1 and PM2.5 were notably different in many cities. Future epidemiological studies may be able to differentiate PM0.1 and PM2.5 health effects by contrasting cities with different ratios of PM0.1 = PM2.5. In the current study, cities with higher PM0.1 = PM2.5 ratios (ratio greater than 0.10) include Houston, TX, Los Angeles, CA, Bakersfield, CA, Salt Lake City, UT, and Cleveland, OH. Cities with lower PM0.1 to PM2.5 ratios (ratio lower than 0.05) include Lake Charles, LA, Baton Rouge, LA, St. Louis, MO, Baltimore, MD, and Washington, D.C.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000476821800002
WOS关键词SECONDARY ORGANIC AEROSOL ; SOURCE APPORTIONMENT ; COMPOSITION DISTRIBUTIONS ; EXPOSURE ASSESSMENT ; QUALITY MODEL ; PART 2 ; EMISSIONS ; FINE ; PARTICLES ; MORTALITY
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/185193
专题地球科学
作者单位1.Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA;
2.Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
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GB/T 7714
Venecek, Melissa A.,Yu, Xin,Kleeman, Michael J.. Predicted ultrafine particulate matter source contribution across the continental United States during summertime air pollution events[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2019,19(14):9399-9412.
APA Venecek, Melissa A.,Yu, Xin,&Kleeman, Michael J..(2019).Predicted ultrafine particulate matter source contribution across the continental United States during summertime air pollution events.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(14),9399-9412.
MLA Venecek, Melissa A.,et al."Predicted ultrafine particulate matter source contribution across the continental United States during summertime air pollution events".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.14(2019):9399-9412.
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