Pattern Recognition and Factor Analysis Applied to Characterization of Particulate Composition from Southwestern Desert Atmosphere.

Abstract

Measurements made of the composition of atmospheric particulates collected in the greater Tucson, Arizona, area have been examined using pattern recognition and factor analysis. Cluster analysis showed Si, Ti, Cs, Li, Rb, Al, K, Fe, Ca, Mg, Na, Mn, Sr, Co, and Cr to be primarily of soil origin. Factor analysis separated the variance of the data base into a small number of factors which can reproduce the correlation matrix and can identify other sources of particulates. The source of NH4(+) and SO4(2-) is external to the Tucson area. The remaining species--NO3(-), Zn, Pb, Cu, Ni, and Cd--have several sources. Relative to a remote desert location, Pb in the urban particulates is of the greatest enrichment, followed by the elements of a crustal origin.

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1976
Accession Number
ADA023235

Entities

People

  • J. L. Moyers
  • P. D. Gaarenstroom
  • S. P. Perone

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Atmospheres
  • Cooperation
  • Databases
  • Factor Analysis
  • Information Science
  • Measurement
  • Particulates
  • Pattern Recognition
  • Recognition

Readers

  • Aerosol Science/Aerosol Physics
  • Atmospheric Science/Meteorology
  • Powder metallurgy of Titanium alloys.

Technology Areas

  • AI & ML