4.7 Article

Atmospheric characteristics conducive to high-ozone days in the Atlanta metropolitan area

Journal

ATMOSPHERIC ENVIRONMENT
Volume 43, Issue 25, Pages 3902-3909

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2009.04.050

Keywords

Ozone; Atlanta; Southeastern United States; Trajectory; NAAQS

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The purpose of this paper is to identify the atmospheric conditions associated with elevated ground-level ozone concentrations during June-August of 2000-2007 at 11 ozone-monitoring stations in the Atlanta, GA, USA metropolitan statistical area (MSA). Analyses were confined to high-ozone days (HODs), which had a daily maximum 8-h average ozone concentration in the 95th percentile of all June-August values. Therefore, each station had 36 HODs. The southeastern and far northern portions of the MSA had HODs with the highest and lowest ozone concentrations, respectively. HODs at nearly all Atlanta MSA ozone-monitoring stations were enabled by migratory anticyclones. HODs for most stations were hot dry, and calm with low morning mixing heights and high afternoon mixing heights. All sets of HODs had daily mean relative humidities and afternoon mixing heights that, respectively, were significantly less than and significantly greater than mean values for the remaining days. Urbanized Atlanta typically was upwind of an ozone-monitoring station on its HODs, therefore, wind direction on HODs varied considerably among the stations. HODs may have been caused partially by NOx, emissions from electric-utility power plants: HODs in the southern portion of the MSA were linked to air-parcel trajectories intersecting a power plant slightly northwest of Atlanta and plants in the Ohio River Valley, while HODs in the northern portion of the MSA were linked to air-parcel trajectories intersecting two large power plants slightly southeast of the Atlanta MSA. Results from this study suggest that future research in the Atlanta MSA should focus on power-plant contributions to ground-level ozone concentrations as well as the identification of non-monitored locations with potentially high ozone concentrations. (C) 2009 Elsevier Ltd. All rights reserved.

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