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RECORD NUMBER: 2 OF 2

OLS Field Name OLS Field Data
Main Title The spatial and temporal analysis of non-urban ozone concentrations over the eastern United States using rotated principal component analysis /
Author Eder, B. K.
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.
Publisher [U.S. Environmental Protection Agency],
Year Published 1992
Report Number EPA/600/A-92/124
Stock Number PB92-192152
Subjects Atmospheric ozone--East (U.S.) ; United States, East.
Additional Subjects Air pollution sampling ; Ozone ; Spatial distribution ; Temporal distribution ; Concentration(Composition) ; Statistical analysis ; Regional analysis ; Trends ; Air quality ; Eastern Region(United States) ; Rotated principal component analysis ; Kaiser's Varimax rotation
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100RATV.PDF
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB92-192152 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 6 unnumbered pages : illustrations ; 28 cm
Abstract
The spatial and temporal variability of O3 concentrations over the eastern United States during the period 1985 through 1990 was examined through the use of a multivariate statistical technique called Principal Component Analysis. The original data set, which contained 77 correlated variables (monitors) was reduced to six uncorrelated principal components, while still explaining almost two-thirds (64.02) of the total variance. Application of Kaiser's Varimax rotation led to the identification of six separate, contiguous subregions which each exhibit statistically unique O3 concentration characteristics. The results have provided a statistically and physically based rationale for choosing distinctive geographical areas for interpreting O3 air quality distributions and trends. Since data from stations within subregions exhibit homogeneous variability, the authors have been able to develop regionwide O3 indicators which have provided meaningful insight into the seasonal and annual concentration trends of the six subregions. The analysis has also suggested that trends analyses for determining general progress in improving O3 air quality could be based on aggregate statistics from clusters of monitors rather than from individual stations.
Notes
Includes bibliographical references. Microfiche.