Aerosol particle characteristics determined by combined cluster and principal component analysis

D. A. Saucy; J. R. Anderson; P R Buseck

doi:10.1029/90JD02235

Aerosol particle characteristics determined by combined cluster and principal component analysis

D. A. Saucy, J. R. Anderson, P R Buseck

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21 Scopus citations

Abstract

Cluster and principal component analysis procedures were used to examine compositions and time-dependent concentrations of aerosol particles collected over a 7-day period near Phoenix, Arizona. The three major sources are crustal material, copper smelters, and marine air. Two minor types, Ti-rich and Pb-rich, appear to be of local origin. -from Authors

Original language	English (US)
Pages (from-to)	7407-7414
Number of pages	8
Journal	Journal of geophysical research
Volume	96
Issue number	D4
DOIs	https://doi.org/10.1029/90JD02235
State	Published - 1991

ASJC Scopus subject areas

Geophysics
Oceanography
Forestry
Aquatic Science
Ecology
Water Science and Technology
Soil Science
Geochemistry and Petrology
Earth-Surface Processes
Atmospheric Science
Space and Planetary Science
Earth and Planetary Sciences (miscellaneous)
Palaeontology

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10.1029/90JD02235

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abstract = "Cluster and principal component analysis procedures were used to examine compositions and time-dependent concentrations of aerosol particles collected over a 7-day period near Phoenix, Arizona. The three major sources are crustal material, copper smelters, and marine air. Two minor types, Ti-rich and Pb-rich, appear to be of local origin. -from Authors",

author = "Saucy, {D. A.} and Anderson, {J. R.} and Buseck, {P R}",

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AU - Anderson, J. R.

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AB - Cluster and principal component analysis procedures were used to examine compositions and time-dependent concentrations of aerosol particles collected over a 7-day period near Phoenix, Arizona. The three major sources are crustal material, copper smelters, and marine air. Two minor types, Ti-rich and Pb-rich, appear to be of local origin. -from Authors

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Aerosol particle characteristics determined by combined cluster and principal component analysis

Abstract

ASJC Scopus subject areas

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