Area of influence (AOI) sensitivity analysis: Application to Atlanta, Georgia

Napelenok, SL; Habermacher, FD; Akhtar, F; Hu, Y; Russell, AG

HERO ID

121134

Reference Type

Journal Article

Year

2007

HERO ID 121134
In Press No
Year 2007
Title Area of influence (AOI) sensitivity analysis: Application to Atlanta, Georgia
Authors Napelenok, SL; Habermacher, FD; Akhtar, F; Hu, Y; Russell, AG
Journal Atmospheric Environment
Volume 41
Issue 27
Page Numbers 5605-5617
Abstract Area of influence (AOI) analysis was applied to determine the geographical extent of the air pollutant precursors contributing to various pollutant levels in the Atlanta metropolitan area. Receptor-oriented sensitivities of ozone and particulate matter (PM) species to emissions of NOx, SO2, NH3, anthropogenic VOC, and elemental carbon were calculated for various combinations of precursor emissions during 1-10 August, 1999. The episode had high observed concentrations of ozone and PM across several days. AOIs differed significantly by day for each sensitivity as well as spatially between pollutants. Ozone sensitivities peaked at 1.0 ppb per 1.0 mole s(-1) (or per 4.0 ton day(-1)) per 12 x 12 km(2) model grid of emissions of NOx, but averaged around 0. 1 ppb over much of Atlanta. Sulfate was the major component of PM, with an average sensitivity of 0.03 mu g m(-3) per 1.0mols(-1) (or per 5.5 ton d(-1)) per 12 x 12km(2) model grid of SO2 emissions and an average of 0.02 mu g m(-3) per 1.0 mol s(-1) per 12 x 12 km(2) of NOx, emissions. Ammonia had a significant impact on PM through the formation of ammonium sulfate and ammonium nitrate. Elemental carbon had a geographically small area of influence with high values around the receptor. (c) 2007 Elsevier Ltd. All rights reserved.
Doi 10.1016/j.atmosenv.2007.03.006
Wosid WOS:000249144800005
Url http://linkinghub.elsevier.com/retrieve/pii/S1352231007002002
Is Certified Translation No
Dupe Override No
Comments Source: Web of Science WOS:000249144800005
Is Public Yes
Keyword area of influence; AOI; sensitivity analysis; atmospheric modeling; air quality; direct decoupled method
Is Qa No