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RECORD NUMBER: 850 OF 896

Main Title Techniques for the Assessment of the Carcinogenic Risk to the U.S. Population Due to Exposure from Selected Volatile Organic Compounds from Drinking Water via the Ingestion, Inhalation and Dermal Routes.
Author Cothern, C. R. ; Coniglio, W. A. ; Marcus, W. L. ;
CORP Author Environmental Protection Agency, Washington, DC. Office of Drinking Water.
Year Published 1984
Stock Number PB84-213941
Additional Subjects Potable water ; Public health ; Water pollution ; Malignant neoplasms ; Trace elements ; Organic compounds ; Assessments ; Risk ; Exposure ; Toxicity ; Bioassay ; Carbon tetrachloride ; Vinyl chloride ; Chlorine organic compounds ; Hazardous materials ; Volatile organic compounds ; Water pollution effects(Humans) ; Cancer ; Benzene ; Ethane/dichloro ; Methane/dichloro ; Ethylene/perchloro ; Ethylene/trichloro ; Ethane/trichloro
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Status
NTIS  PB84-213941 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 254p
Abstract
A methodology is developed for the assessment of the risk due to drinking water containing trace levels of nine selected volatile organic compounds (VOCs). The nine VOCs are; benzene, carbon tetrachloride, 1,1-dichloroethylene, 1,2-dichloroethane, dichloromethane, perchloroethylene, trichloroethylene, 1,1,1-trichloroethane, and vinyl chloride. The risk assessment contains two major parts; viz, a hazard assessment and an exposure assessment. The hazard assessment uses animal bioassay data and extrapolates the dose-response curve using four models; logit, probit, multistage and Weibull. The hazard and exposure assessments are combined to estimate the population risk and provide a risk reduction analysis. This latter analysis estimates the cases averted for different control levels. An extensive analysis is included of the uncertainties in all parts of the risk assessment. It is concluded that the uncertainty in exposure assessment is less that an order of magnitude and that the uncertainty in hazard assessment is 4-6 orders of magnitude. The largest contribution, by far, to the uncertainty in the risk assessment is due to the choice of model to fit the bioassay data.