Comparing Multipollutant Emissions-Based Mobile Source Indicators to Other Single Pollutant and Multipollutant Indicators in Different Urban Areas

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dc.contributor.authorOakes, Michelle M.en
dc.contributor.authorBaxter, Lisa K.en
dc.contributor.authorDuvall, Rachelle M.en
dc.contributor.authorMadden, Meaganen
dc.contributor.authorXie, Mingjieen
dc.contributor.authorHannigan, Michael P.en
dc.contributor.authorPeel, Jennifer L.en
dc.contributor.authorPachon, Jorge E.en
dc.contributor.authorBalachandran, Siven
dc.contributor.authorRussell, Armistead G.en
dc.contributor.authorLong, Thomas C.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2017-09-20T18:21:03Zen
dc.date.available2017-09-20T18:21:03Zen
dc.date.issued2014-11-14en
dc.date.updated2017-09-20T18:21:03Zen
dc.description.abstractA variety of single pollutant and multipollutant metrics can be used to represent exposure to traffic pollutant mixtures and evaluate their health effects. Integrated mobile source indicators (IMSIs) that combine air quality concentration and emissions data have recently been developed and evaluated using data from Atlanta, Georgia. IMSIs were found to track trends in traffic-related pollutants and have similar or stronger associations with health outcomes. In the current work, we apply IMSIs for gasoline, diesel and total (gasoline + diesel) vehicles to two other cities (Denver, Colorado and Houston, Texas) with different emissions profiles as well as to a different dataset from Atlanta. We compare spatial and temporal variability of IMSIs to single-pollutant indicators (carbon monoxide (CO), nitrogen oxides (NO<sub>x</sub>) and elemental carbon (EC)) and multipollutant source apportionment factors produced by Positive Matrix Factorization (PMF). Across cities, PMF-derived and IMSI gasoline metrics were most strongly correlated with CO (<i>r</i> = 0.31–0.98), while multipollutant diesel metrics were most strongly correlated with EC (<i>r</i> = 0.80–0.98). NO<sub>x</sub> correlations with PMF factors varied across cities (<i>r</i> = 0.29–0.67), while correlations with IMSIs were relatively consistent (<i>r</i> = 0.61–0.94). In general, single-pollutant metrics were more correlated with IMSIs (<i>r</i> = 0.58–0.98) than with PMF-derived factors (<i>r</i> = 0.07–0.99). A spatial analysis indicated that IMSIs were more strongly correlated (<i>r</i> &gt; 0.7) between two sites in each city than single pollutant and PMF factors. These findings provide confidence that IMSIs provide a transferable, simple approach to estimate mobile source air pollution in cities with differing topography and source profiles using readily available data.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationOakes, M.M.; Baxter, L.K.; Duvall, R.M.; Madden, M.; Xie, M.; Hannigan, M.P.; Peel, J.L.; Pachon, J.E.; Balachandran, S.; Russell, A.; Long, T.C. Comparing Multipollutant Emissions-Based Mobile Source Indicators to Other Single Pollutant and Multipollutant Indicators in Different Urban Areas. Int. J. Environ. Res. Public Health 2014, 11, 11727-11752.en
dc.identifier.doihttps://doi.org/10.3390/ijerph111111727en
dc.identifier.urihttp://hdl.handle.net/10919/79220en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectmultipollutanten
dc.subjectair pollutionen
dc.subjectexposure metricsen
dc.subjectsource apportionmenten
dc.subjectmobile sourcesen
dc.subjectemissions-based indicatorsen
dc.titleComparing Multipollutant Emissions-Based Mobile Source Indicators to Other Single Pollutant and Multipollutant Indicators in Different Urban Areasen
dc.title.serialInternational Journal of Environmental Research and Public Healthen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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