Record Display for the EPA National Library Catalog

RECORD NUMBER: 27 OF 67

OLS Field Name OLS Field Data
Main Title Low-Level and NARM Radioactive Wastes. Draft Environmental Impact Statement for Proposed Rules. Volume 1. Background Information Document.
CORP Author Office of Radiation Programs, Washington, DC.
Publisher Jun 88
Year Published 1988
Report Number EPA/520/1-87/012-1;
Stock Number PB93-200673
Additional Subjects Low-level radioactive wastes ; Environmental impact statements-draft ; Risk assessment ; Public health ; Radioactive minerals ; Environmental exposure pathway ; Radionuclide migration ; Radiation hazards ; Pollution regulations ; Biological radiation effects ; Radiation doses ; NARM(Naturally occurring and accelerator-produced radioactive materials) ; Dose-response relationships
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=100008WB.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB93-200673 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 08/23/1993
Collation 633p
Abstract
The Environmental Protection Agency is proposing environmental standards for the management and land disposal of low-level radioactive wastes and the land disposal of Naturally Occurring and Accelerator-Produced Radioactive Materials (NARM) waste. The two-volume Draft Environmental Impact Statement (DEIS) is provided to support EPA's rulemaking for generally applicable environmental standards for the management and land disposal of low-level radioactive wastes and the land disposal of Naturally Occurring and Accelerator-Produced Radioactive Materials (NARM) waste. The first volume of the DEIS, the Background Information Document (BID), presents the technical treatise on the risk assessment. The BID includes the sources of radiation exposures, the routes of exposure, the methodology of the assessment, the individual doses/risk and the population health effects, and model sensitivity and uncertainties in the analysis.