Title:
Quantifying the Impacts of Anthropogenic Emissions and Specific Infrastructures on Urban Air Quality

dc.contributor.advisor Russell, Armistead G.
dc.contributor.advisor Kaiser, Jennifer
dc.contributor.author Lawal, Abiola S.
dc.contributor.committeeMember Botchwey, Nisha
dc.contributor.committeeMember Mulholland, James
dc.contributor.committeeMember Kockelman, Kara
dc.contributor.department Civil and Environmental Engineering
dc.date.accessioned 2022-01-14T16:07:58Z
dc.date.available 2022-01-14T16:07:58Z
dc.date.created 2021-12
dc.date.issued 2021-08-30
dc.date.submitted December 2021
dc.date.updated 2022-01-14T16:07:58Z
dc.description.abstract The interconnectivity between city infrastructure, energy and air quality is explored by evaluating the impact of environmental regulations, urban layout, and the transportation sector on air quality and energy use. Particular aspects of the research include assessing how controls have impacted aerosol acidity (which impacts health), linkages between energy, demographics, and how both airports and the use of autonomous and electric vehicles may impact on air quality. This research finds that while environmental regulations are effective in curbing pollution, as measured through decreases in fine particulate matter (PM2.5) emissions in the U.S., PM2.5 particles (aerosol) remain acidic. An implication of this is that it could be decades before changes in aerosol acidity, which is related to the toxicity and adverse health impacts of PM2.5, are seen. The research also found a strong statistical relationship between residential energy (electric and natural gas) consumption and socio-economic demographic (SED) factors for Zip Code Tabulated Areas (ZCTAs) in metropolitan Atlanta. However the electricity model exhibited high bias. Additional analyses found that electricity use is affected by the urban morphology of the roadways, with ZCTAs in high road density areas using more electricity The impacts of airports, mainly the Atlanta Hartsfield Jackson (ATL) on air quality, was examined using fine scale chemical transport modeling (CMAQ).CMAQ results are evaluated using ground-based and high resolution satellite-based observations from the TROPOspheric Monitoring Instrument (TROPOMI). TROPOMI's ability to provide consistent NO2 vertical column densities (VCDs) is assessed using the CMAQ results around two power plants. A 3D airport emission inventory from full flight operations is developed and compared against a base inventory with only surface airport operation emissions allocated to ATL. Results show that the magnitude and spatial extent of airport effects on air quality would be understated if only the base inventory is used for regulatory purposes. Lastly, we assess the efficacy of an electrified automated fleet of passenger cars on 2050 air quality in the US with a 2050 scenario where gasoline powered passenger cars emit lower levels of pollution than present day automobiles with CMAQ. We find that electric cars have advantages over future gasoline vehicles in terms of improving air quality, though the magnitude varies by species (O3, PM2.5). The overall implications of our findings is that policy, technology and urban infrastructure have a compounded effect on the efficacy of environmental regulations, air quality and energy use. Multiple factors should be considered when designing policies promoting equitable, sustainable cities.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/66074
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Urban infrastructure
dc.subject air quality
dc.subject energy demand
dc.title Quantifying the Impacts of Anthropogenic Emissions and Specific Infrastructures on Urban Air Quality
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Russell, Armistead G.
local.contributor.advisor Kaiser, Jennifer
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
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relation.isAdvisorOfPublication 4a4a056f-0ba8-48a3-ac9a-b620362aabb5
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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