Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Method to Select Metropolitan Areas of Epidemiologic Interest for Enhanced Air Quality Monitoring: Air Quality Monitoring by the EPA Speciation Trends Network, 2001-2005.
Author L. Baxter ; S. Teet ; L. M. Neas
CORP Author National Inst. of Environmental Health Sciences, Research Triangle Park, NC. Epidemiology Branch.
Year Published 2012
Report Number EPA/600/R-12/518
Stock Number PB2012-112322
Additional Subjects Epidemiology ; Air quality monitoring ; Metropolitan areas ; Speciation trends ; Epidemiologic analyses ; Gaseous co-pollutants ; Particulates ; Filter-based methods ; Daily air quality ; Health effects ; Pollutants ; Geographical distribution ; Statistical data ; Tables(Data) ; Charts(Graphs) ; Particulate Matter(PM) ; Speciation Trends Network(STN) ; US Environmental Protection Agency(EPA)
Library Call Number Additional Info Location Last
NTIS  PB2012-112322 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 02/21/2013
Collation 116p
The U.S. Environmental Protection Agencys current Speciation Trends Network (STN) covers most major U.S. metropolitan areas and a wide range of particulate matter (PM) constituents and gaseous co-pollutants. However, using filter-based methods, most PM constituents are not measured daily and the lack of daily air quality data complicates epidemiologic analyses of the potential adverse health effects of these PM constituents. Possible criteria for the identification of metropolitan areas with the greatest epidemiologic value for enhanced monitoring are population, mean levels and variation of criteria air pollutants and PM constituents, correlations among these pollutants, and the relationship of these correlations to the coefficient of variation. Using a review of air quality measurements from 49 STN monitors for 2001-2005 as an illustration of this criteria, we selected metropolitan areas that had the appropriate population size, sufficient PM(sub 2.5) concentration levels, variability for most pollutants, and appropriate correlations between pollutants.