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Resolution of PM sources using highly time resolved data and discrete particle size bins

dc.contributor.advisorOndov, Johnen_US
dc.contributor.authorRury, Melissaen_US
dc.date.accessioned2006-09-12T05:34:18Z
dc.date.available2006-09-12T05:34:18Z
dc.date.issued2006-05-26en_US
dc.identifier.urihttp://hdl.handle.net/1903/3711
dc.description.abstractThe goal of this project was to explore the use of particle size distribution data for distinguishing between local vs distant and controlled vs uncontrolled combustion sources. A two day period in July was selected for an apportionment study from eleven months of highly time resolved data collected at the Baltimore Supersite. Number concentration vs particle size data was partitioned into four size bins as follows: a nucleation mode (<80>nm), fresh combustion (80-300 nm), secondary aerosol (0.3-1 µm), and coarse particles (1-2.5 µm). Two multivariate receptor model studies were completed using positive matrix factorization. The first model included size binned particle counts, the second, included binned particle mass concentrations. Using this combination of models, we identified eight factors. Three sources were identified by both model results, while additional sources not identified by number concentrations were identified when we applied the mass moments to weight the size distribution data.en_US
dc.format.extent1676886 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleResolution of PM sources using highly time resolved data and discrete particle size binsen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentChemistryen_US
dc.subject.pqcontrolledChemistry, Analyticalen_US
dc.subject.pquncontrolledSize distributionen_US
dc.subject.pquncontrolledsource apportionmenten_US
dc.subject.pquncontrolledBaltimore Supersiteen_US
dc.subject.pquncontrolledpositive matrix factorizationen_US


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