Record Display for the EPA National Library Catalog


Main Title Receptor models for airborne organic species /
Author Daisey, J. M. ; Lioy, P. J. ; Kneip, T. J.
Other Authors
Author Title of a Work
Lioy, Paul J.
Kneip, Theodore J.
CORP Author New York Univ. Medical Center, NY. Inst. of Environmental Medicine.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Sciences Research Lab.
Publisher GPO,
Year Published 1985
Report Number EPA/600/3-85/014; EPA-R-810300
Stock Number PB85-172583
Subjects Polycyclic aromatic hydrocarbons--New York (State)--New York ; Particles--Environmental aspects--Research ; Air--Pollution--United States
Additional Subjects Organic compounds ; Mathematical models ; Air pollution ; Combustion products ; Industrial wastes ; Aromatic polycyclic hydrocarbons ; Particles ; Sources ; Aerosols ; Sampling ; Exhaust emissions ; Trace elements ; Gas analysis ; Chemical analysis ; Air pollution sampling ; Air pollution detection ; New York City(New York)
Library Call Number Additional Info Location Last
NTIS  PB85-172583 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 205 pages : illustrations
A study was performed that: (1) critically reviewed existing source emissions data to determine if variations in the organic composition of such emissions could be used to distinguish sources of airborne particulate matter and particulate organic matter; (2) attempted to develop receptor source apportionment models for three fractions of particulate organic matter and selected polycyclic aromatic hydrocarbons using an existing set of ambient aerosol measurements made at a site in New York City; (3) defined critical needs for the development of receptor models for airborne organic matter. The results of this study showed that it is possible to develop receptor source apportionment models for particulate organic species using the factor analysis/multiple regression modeling technique. It showed that a lack of adequate organic composition data for source emissions was a critical limitation for model validation and also for development of chemical mass balance receptor source apportionment models. It also showed, however, that existing source emissions data on polycyclic aromatic hydrocarbons and certain other species indicate that such species might be useful in distinguishing emissions from certain types of sources.
Caption title. "February 1985." "EPA/600/3-85/014." Microfiche.