Title page for ETD etd-92398-135228


Type of Document Master's Thesis
Author Sankaran, Karpagam
Author's Email Address kash@vt.edu
URN etd-92398-135228
Title Estimating Exposure and Uncertainty for Volatile Contaminants in Drinking Water
Degree Master of Science
Department Civil and Environmental Engineering
Advisory Committee
Advisor Name Title
Little, John C. Committee Chair
Edwards, Marc A. Committee Member
Gallagher, Daniel L. Committee Member
Lentner, Marvin M. Committee Member
Perumpral, John V. Committee Member
Wolfe, Mary Leigh Committee Member
Ye, Keying Committee Member
Keywords
  • Radon
  • VOCs
  • Exposure
  • Uncertainty
Date of Defense 1998-09-05
Availability restricted
Abstract
The EPA recently completed a major study to evaluate exposure and risk associated with a primary contaminant, radon and its progeny in drinking water (EPA, 1995). This work resulted in the development of a Monte Carlo Simulation model written in the programming language C. The model developed by the EPA has been used to estimate the cancer fatality risk from radon in water for exposed populations served by community ground water supplies, and to provide a quantitative analysis of the uncertainty associated with the calculations (EPA, 1995).

This research is a continuation of the study conducted by the EPA. In this project, a Monte Carlo computer model will be developed to evaluate the risk associated with exposure to volatile compounds in drinking water. The model will be based on a computer program (developed previously by the EPA) for estimating the risks associated with exposure to radon in drinking water. The model will be re-implemented in the form of a computer program written in C. The analysis for radon will be extended to include the entire range of contaminants found in drinking water supplies. The initial focus of the project has been on extending the analysis to cover the ingestion exposure pathway for volatile compounds, but ultimately the risk via ingestion and dermal sorption will also be evaluated.

The integrated model can estimate the risks associated with various levels of contaminants in drinking water and should prove valuable in establishing Maximum Contaminant Levels (MCLs) for the entire range of contaminants found in water supplies and generated in water treatment and distribution systems.

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