Spelling suggestions: "subject:"iir quality georgia"" "subject:"iir quality borgia""
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A regional strategy to improve air quality in Atlanta, GeorgiaDurbrow, Richard 12 1900 (has links)
No description available.
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A model study of the influence of NMHC and NOx emissions on rural O₃ concentrations in GeorgiaZheng, Jiangfen 12 1900 (has links)
No description available.
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Assessment of ambient concentrations of ionic species of PM₂₅ in Atlanta, GeorgiaAndrew, Michael Shane 08 1900 (has links)
No description available.
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Assessment of Atlanta’s PM [subscript 2.5] source profiles using principle component analysis and positive matrix factorization / Assessment of Atlanta’s PM 2.5 source profiles using principle component analysis and positive matrix factorizationHolm, Klaus Herman 05 1900 (has links)
No description available.
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A determination of motor vehicle activity factors for Atlanta, Georgia through fuel consumption analysisHayes, Adam Jason Otto 12 1900 (has links)
No description available.
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Temporal and spatial analysis of PM₂₅ mass and composition in AtlantaButler, André J. 05 1900 (has links)
No description available.
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A remote sensing analysis of residential land use, forest canopy distribution, and surface heat island formation in the Atlanta Metropolitan RegionStone, Brian, Jr. 05 1900 (has links)
No description available.
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Cooperative and non-cooperative decision behaviors in response to the inspection and maintenance program in the Atlanta Airshed, 1997-2001Zia, Asim 12 July 2004 (has links)
When confronted with decisions involving the provision of environmental resources, such as clean air, do individuals act cooperatively with societal regulations? This study employs a quasi-experimental design to investigate the cooperative and non-cooperative actions of high-emitting vehicle owners that arose in response to the Inspection and Maintenance (IM) program in the Atlanta airshed. The impact of cooperative and non-cooperative actions of high-emitters on vehicular tail-pipe emissions, such as carbon monoxide (CO), hydrocarbons (HC) and oxides of nitrogen (NOx), is quantified. Furthermore, the hypothesis that high-emitters have significantly higher odds of residing in lower income neighborhoods as compared to the normal emitters is also tested.
A remote sensing sample of approximately 1.42 million vehicles observed on-road between 1997 and 2001 is matched with IM program data and vehicle registration data to identify the cooperative and non-cooperative high-emitters. A mixed-pool time-series regression analysis is undertaken to estimate changes in vehicular tail-pipe emissions due to the actions of high-emitters. The information about the socio-economic and demographic contextual conditions of the sampled vehicle owners is ascertained from 2000 census data.
Approximately 42% of the high-emitting vehicle owners are found to be cooperative and 58% non-cooperative. The cooperative actions caused a decrease of 47% in HC emission factors during 1997 and 2001. There is no statistical difference between the CO and NO emission factors of vehicles owned by cooperative and non-cooperative high-emitters. Results also suggest that the high-emitters live in 4.4% lower median household income areas as compared to the normal emitters in the Atlanta airshed.
Changes in the current IM program rules and vehicle registration laws could improve air quality. Such changes include disallowing IM test failures from registering anywhere in the state of Georgia and requiring an IM test on every change of vehicle ownership inside the IM program area. Better incentive mechanisms for high-emitters can also be designed. The evidence from this study is expected to aid policy-makers to adapt the incentive mechanisms of IM programs, in particular, and environmental regulations, in general, so that public policies are both more effective and equitable in their societal impacts.
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