Single source impacts estimated with photochemical model source sensitivity and apportionment approaches

Some sources may need to estimate ozone and secondarily formed PM2.5 as part of the permit application process under the Clean Air Act New Source Review program. Photochemical grid models represent state-of-the-science gas- and particle-phase chemistry and provide a realistic chemical and physical e...

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Veröffentlicht in:Atmospheric environment (1994) 2014-10, Vol.96, p.266-274
Hauptverfasser: Baker, Kirk R., Kelly, James T.
Format: Artikel
Sprache:eng
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Zusammenfassung:Some sources may need to estimate ozone and secondarily formed PM2.5 as part of the permit application process under the Clean Air Act New Source Review program. Photochemical grid models represent state-of-the-science gas- and particle-phase chemistry and provide a realistic chemical and physical environment for assessing changes in air quality resulting from changes in emissions. When using these tools for single source impact assessments, it is important to differentiate a single source impact from other emissions sources and to understand how well contemporary grid model applications capture near-source transport and chemistry. Here for the first time, both source apportionment and source sensitivity approaches (brute-force changes and high-order direct decoupled method) are used in a photochemical grid model to isolate impacts of a specific facility. These single source impacts are compared with in-plume measurements made as part of a well-characterized 1999 TVA Cumberland aircraft plume transect field study. The techniques were able to isolate the impacts of the TVA plume in a manner consistent with observations. The model predicted in-plume concentrations well when the observations were averaged to the grid scale, although peak concentrations of primary pollutants were generally underestimated near the source, possibly due to dilution in the 4-km grid cell. •Photochemical grid model can resolve single source impacts near-source and regionally.•Source sensitivity and apportionment techniques capture single source impacts.•Predict the primary and secondary average source impacts well at 4 km for this case.•Capture downwind ozone production well (mean and peak) at 4 km for this case.•Underpredict near-source ozone titration events and primary pollutant peaks at 4 km.
ISSN:1352-2310
1873-2844
DOI:10.1016/j.atmosenv.2014.07.042