Record Display for the EPA National Library Catalog

RECORD NUMBER: 556 OF 4531

OLS Field Name OLS Field Data
Main Title Draft Risk Assessment for Cement Kiln Dust Used as an Agricultural Soil Amendment.
CORP Author Environmental Protection Agency, Washington, DC. Office of Solid Waste and Emergency Response.
Publisher 16 Jun 1998
Year Published 1998
Report Number 68-W6-0053;
Stock Number PB2001-107992
Additional Subjects Soils ; Risk assessments ; Environmental fate ; Environmental transport ; Liming ; Exposure rates ; Lead exposure ; Agriculture ; Agriculture soil ammendments ; Cement kiln dust ; Risk-based concentration limits
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2001-107992 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 10/17/2002
Collation CD-ROM
Abstract
This report presents the risk assessment methodology used to estimate the incremental increase in individual lifetime risk from the use of cement kiln dust (CKD) as an agricultural soil amendment. It includes the documentation and results of a central tendency and high-end deterministic risk analysis and a quantitative uncertainty analysis using commercially available Monte Carlo simulation software. RTI conducted this risk assessment in accordance with the U.S. Environmental Protection Agency (EPA) human health risk assessment guidance (U.S. EPA, 1991, 1988, and 1989). The risk estimates used for regulatory decisionmaking have been developed using a deterministic method, which produces point estimates of risk based upon single values for input parameters. The deterministic results in this analysis have been estimated using a double high-end risk assessment methodology. In this method, the input parameters are varied between the central tendency (50th percentile) value and the high-end (95th percentile) value one at a time and then in pairs of any two independent variables to produce a series of point risk estimates. The point estimate in which all variables are set at central tendency is assumed to be the central tendency risk estimate, and the highest risk estimate for any combination of double high-end variables is assumed to be the high-end estimate (approximately 95th percentile) of risk.