Record Display for the EPA National Library Catalog

RECORD NUMBER: 3 OF 22

OLS Field Name OLS Field Data
Main Title Environmental Radiation Data, Report 60: October-December 1989.
CORP Author National Air and Radiation Environmental Lab., Montgomery, AL.
Publisher Jun 90
Year Published 1990
Report Number EPA/520/5-90/018;
Stock Number PB91-181990
Additional Subjects Radiation monitoring ; Environmental monitoring ; Radioisotopes ; Tritium ; Krypton ; Radioecological concentration ; Concentration(Composition) ; Tables(Data) ; Air pollution ; Water pollution ; Radium ; Iodine ; Uranium ; Plutonium ; Strontium ; Land pollution ; Fission product release ; Ecology ; Radioactive pollutants
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB91-181990 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 09/04/1991
Collation 42p
Abstract
In 1973, the U.S. Environmental Protection Agency's Office of Radiation Programs established the Environmental Radiation Ambient Monitoring System (ERAMS) to provide continuous, accurate, and usable environmental radiation data to the public. For completeness, ERAMS data for all specific radionuclide analyses are reported as the calculated results indicate, whether the numbers are negative, zero, or positive. Frequently, there is little or no radioactivity in environmental media. Thus, the results of laboratory analyses should statistically show a distribution of negative and positive numbers about zero. A negative value occurs when a previously determined background value is subtracted from a sample value that is less than that of the background. Prior to July 1975, ERAMS data were not reported numerically when the results were less than a specified reporting level or minimum detectable level. The present reporting procedure allows all the data to be reported and evaluated statistically without an arbitrary cutoff of small or negative numbers. The approach will facilitate estimates of bias in the nuclide analyses and will allow better evaluation of distributions and trends in environmental data.