Record Display for the EPA National Library Catalog

RECORD NUMBER: 638 OF 1357

OLS Field Name OLS Field Data
Main Title Regulation of Sludge Disposal through Application of Risk Assessment Techniques.
Author Dawson, G. W. ; English, C. J. ; Fradkin, L. ;
CORP Author Environmental Protection Agency, Cincinnati, OH. Environmental Criteria and Assessment Office. ;ICF Technology, Inc., Richland, WA.
Publisher c1988
Year Published 1988
Report Number EPA/600/D-89/030;
Stock Number PB89-223895
Additional Subjects Sludge disposal ; Earth fills ; Site surveys ; Public health ; Ground water ; Water pollution ; Waste disposal ; Air pollution ; Concentration(Composition) ; Field tests ; Leaching ; Exposure ; Mathematical models ; Experimental design ; Reprints ; Risk assessment ; Pollution regulations ; Sewage sludge ; Land pollution ; Path of pollutants ; Environmental transport
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB89-223895 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 12/18/1989
Collation 12p
Abstract
Risk-based methodologies are developed to establish criteria for regulating contaminant concentrations in sewage sludge for various disposal options. The paper describes the methodology developed for landfilling. The methodology is structured into three tiers. The first tier compares the results of an extraction test to health-based criteria. If the extract concentration for a contaminant is below the criteria, no further analysis is required. If the concentration exceeds the criteria, a Tier 2 or 3 analysis is required. Tiers 2 and 3 are based on application of analytical models to predict groundwater and vapor contaminant levels at the landfill property boundary. Tier 2 uses some site-specific data, such as hydraulic conductivity and soil type, along with literature values for adsorption and degradation. In Tier 3, site-specific field and laboratory studies are conducted to refine estimates of physical and chemical parameters affecting contaminant transport. The paper describes the algorithms and models employed to simulate each element and the input data required.