Title page for ETD etd-080399-124254


Type of Document Master's Thesis
Author Parcher, Mary Ann
URN etd-080399-124254
Title Assessing Various Technologies to Remediate a Hydrocarbon Contaminated Aquifer
Degree Master of Science
Department Environmental Sciences and Engineering
Advisory Committee
Advisor Name Title
Gallagher, Daniel L. Committee Chair
Johnson, Jeffrey A. Committee Member
Widdowson, Mark A. Committee Member
Keywords
  • modeling
  • remedial technologies
  • hydrocarbon
  • Groundwater
Date of Defense 1999-06-17
Availability unrestricted
Abstract
Releases of nonaqueous phase liquids (NAPLs) to groundwater systems are a serious and widespread problem throughout the United States. Research was conducted to determine if numerical groundwater flow and transport models could evaluate the effectiveness of alternative remedial strategies to reduce dissolved hydrocarbon contamination in aquifers, and therefore serve as tools to aid environmental managers in the remedial decision making process. A fuel distribution terminal in the Eastern United States was selected as the test site. A release of diesel and jet fuels from the terminal loading rack area contaminated the unconfined aquifer beneath the terminal and migrated off-site, impacting commercial and residential areas. In the analyses, groundwater flow and transport models were calibrated to site data. The calibrated models were applied to simulate four remedial options: (1) natural attenuation, (2) groundwater extraction, (3) groundwater flushing, and (4) microbial fences. Results of the predictive simulations indicated that the groundwater flushing remedial option provided the greatest reduction of benzene and TEX mass from the NAPL source as well as the lowest concentrations of benzene and TEX in the aquifer. The calibrated numerical models were able to predict the effectiveness of various remedial options and provide a basis for comparison. The modeling in conjunction with other factors, such as cost, were utilized to facilitate the decision making process.

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