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RECORD NUMBER: 12 OF 21

Main Title Particle Class Balance Receptor Model for Aerosol Apportionment in Syracuse, New York.
Author Johnson, David L. ; McIntyre, Brian L. ;
CORP Author State Univ. of New York Coll. of Environmental Science and Forestry, Syracuse.;Environmental Sciences Research Lab., Research Triangle Park ,NC.
Year Published 1983
Report Number EPA-R-809760; EPA-600/D-83-103;
Stock Number PB83-247429
Additional Subjects Aerosols ; Mathematical models ; X-ray spectroscopy ; Mass ; Particles ; Sources ; Least square method ; Sampling ; Particle class balance model ; Syracuse(New York) ; Point sources
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NTIS  PB83-247429 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 18p
Abstract
Scanning electron miscroscopy interfaced with automated image analysis and x-ray energy spectroscopy (SAX) can be employed for individual particle characterization of aerosol samples in a time efficient manner. Such an individual particle analysis partitioning of the bulk chemical data provides a new perspective on the heterogeneity of ambient aerosols. As particles are individuals, it is possible to increase the source resolution of conventional receptor models which are based on bulk chemical analyses. This paper presents a particle class balance (PCB) which is directly analogous, in mathematical approach, to the Chemical mass balance types of receptor models. Samples of ambient aerosol and potential source materials from Syracuse, NY were characterized by SAX.