Application of pattern recognition and factor analysis for characterization of atmospheric particulate composition in southwest desert atmosphere

Application of pattern recognition and factor analysis for characterization of atmospheric particulate composition in southwest desert atmosphere

The composition of atmospheric particulate matter collected in the Tucson, Ariz., area is examined by pattern recognition and factor analysis. Cluster analysis shown silicon, titanium, cesium, lithium, rubidium, aluminum, krypton, iron, calcium, magnesium, manganese, strontium, cobalt, and chromium...

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Veröffentlicht in:Environ. Sci. Technol.; (United States) 1977-08, Vol.11 (8), p.795-800
Hauptverfasser: Gaarenstroom, Phillip D, Perone, Sam P, Moyers, Jarvis L
Format: Artikel
Sprache:eng
Schlagworte:
500200 - Environment, Atmospheric- Chemicals Monitoring & Transport- (-1989)
AEROSOLS
AIR POLLUTION
AIR QUALITY
ARID LANDS
ARIZONA
CADMIUM
CHEMICAL REACTIONS
COLLOIDS
COMPUTER CALCULATIONS
COPPER
DESERTS
DISPERSIONS
ELEMENTS
ENVIRONMENTAL SCIENCES
LEAD
MATHEMATICAL MODELS
METALS
MONITORING
NORTH AMERICA
OXYGEN COMPOUNDS
PARTICLES
PATTERN RECOGNITION
POLLUTION
SOILS
SOLS
SULFATES
SULFUR COMPOUNDS
TRANSITION ELEMENTS
USA
ZINC
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Beschreibung
Zusammenfassung:The composition of atmospheric particulate matter collected in the Tucson, Ariz., area is examined by pattern recognition and factor analysis. Cluster analysis shown silicon, titanium, cesium, lithium, rubidium, aluminum, krypton, iron, calcium, magnesium, manganese, strontium, cobalt, and chromium to be primarily of soil origin. Relative to a remote desert location, all elements measured show an enrichment in urban particulates.
ISSN:0013-936X
1520-5851
DOI:10.1021/es60131a003