Land Use Regression and Other Geo-Statistical Analysis Methods to Predict At-Risk Private Well Consumers in North Carolina Public Deposited

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Last Modified
  • July 24, 2019
Creator
  • Bradford, Kathryn
    • Affiliation: Gillings School of Global Public Health, Department of Environmental Sciences and Engineering
Abstract
  • North Carolina has the largest scaled number of private well groundwater dependents in the United States. Despite this, there is no water quality legislation in existing private wells in North Carolina resulting in low frequency sampling and increased contamination exposure. Tetrachloroethylene (PCE), trichloroethylene (TCE), and dichloroethylene (DCE) are chemicals that have been found in private wells in North Carolina. According to the Center for Disease Control (CDC), TCE is a known carcinogen and PCE is a likely carcinogen, elevating the importance of determining high risk areas in North Carolina. Land Use Regression (LUR) and Bayesian Maximum Entropy (BME) analyses were used to predict the concentration and sources of PCE, TCE, and DCE in North Carolina over a thirty-year period. The LUR model shows influence of dry-cleaners at short distances for PCE and both Resource Conservation and Recovery Act (RCRA) sites and dry-cleaners at short distances for TCE and DCE.
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Advisor
  • Serre, Marc
  • Characklis, Gregory
  • Eskaf, Shadi
Degree
  • Master of Science
Degree granting institution
  • University of North Carolina at Chapel Hill Graduate School
Graduation year
  • 2019
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