Application of multivariate source/receptor models to aerosol mass apportionment
Over the past decade, a number of approaches have been explored to utilize the chemical or physical properties of collected particles to identify their origins and to apportion the aerosol mass to sources. The most widely used method, called the chemical element balance (CEB) method, assumes that the number of source types and the elemental composition of particles from those sources are known. The mass contribution of each source to each sample is calculated using a multiple regression method. In an effort to examine how much information can be directly extracted from the data, alternative methods using multivariate statistical methods have been explored. A modified form of factor analysis called target transformation factor analysis has proven to be useful in resolving aerosol sources. In TTFA, the correlation about the origin is used as the dispersion matrix and factor rotations are made in unnormalized space. The basic concepts of the TTFA method are presented. The resolution of a data set consisting of fine particle samples taken during the Regional Air Pollution Study of St. Louis, MO at site 103 yielded five source types: motor vehicles, smelters, soil/flyash, secondary sulfate, and a fugitive dust source probably from an adjacent fertilizer processing plant. 20 references.
- Research Organization:
- Illinois Univ., Urbana (USA)
- DOE Contract Number:
- AC02-80EV10403
- OSTI ID:
- 5779402
- Report Number(s):
- DOE/EV/10403-11; CONF-8305115-1; ON: DE83014592
- Resource Relation:
- Conference: 6. world congress on air quality, Paris, France, 16 May 1983; Other Information: Portions are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
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