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dc.contributor.authorOakes, Michelle M.
dc.contributor.authorBaxter, Lisa K.
dc.contributor.authorDuvall, Rachelle M.
dc.contributor.authorMadden, Meagan
dc.contributor.authorXie, Mingjie
dc.contributor.authorHannigan, Michael P.
dc.contributor.authorPeel, Jennifer L.
dc.contributor.authorPachon, Jorge E.
dc.contributor.authorBalachandran, Siv
dc.contributor.authorRussell, Armistead
dc.contributor.authorLong, Thomas C.
dc.date.accessioned2017-09-20T18:21:03Z
dc.date.available2017-09-20T18:21:03Z
dc.date.issued2014-11-14
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.
dc.identifier.urihttp://hdl.handle.net/10919/79220
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 (NOx) 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 (r = 0.31–0.98), while multipollutant diesel metrics were most strongly correlated with EC (r = 0.80–0.98). NOx correlations with PMF factors varied across cities (r = 0.29–0.67), while correlations with IMSIs were relatively consistent (r = 0.61–0.94). In general, single-pollutant metrics were more correlated with IMSIs (r = 0.58–0.98) than with PMF-derived factors (r = 0.07–0.99). A spatial analysis indicated that IMSIs were more strongly correlated (r > 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.
dc.format.mimetypeapplication/pdf
dc.languageen_USen_US
dc.publisherMDPI
dc.rightsCreative Commons Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleComparing Multipollutant Emissions-Based Mobile Source Indicators to Other Single Pollutant and Multipollutant Indicators in Different Urban Areasen_US
dc.typeArticle - Refereeden_US
dc.date.updated2017-09-20T18:21:03Z
dc.title.serialInternational Journal of Environmental Research and Public Health
dc.identifier.doihttps://doi.org/10.3390/ijerph111111727
dc.type.dcmitypeText


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International