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Thursday, October 23, 2008

Type of Document Master's Thesis Author Bredel, Daniel Author's Email Address dbredel@vt.edu URN etd-05162003-162325 Title Performance Capabiliti

Type of Document Report
Author Brewster, Ryan Jude Stephen
URN etd-05072003-165353
Title Cometabolic Modeling of Chlorinated Aliphatic Hydrocarbons using SEAM3D Cometabolism Package
Degree Master of Science
Department Civil Engineering
Advisory Committee
Advisor Name Title
Mark Widdowson Committee Chair
Keywords

* chlorinated aliphatics
* SEAM3D
* modeling

Date of Defense 2003-05-08
Availability unrestricted
Abstract

Bioremediation of chlorinated aliphatic hydrocarbon (CAH) compounds commonly found at contaminated sites has been an area of focus in recent years. The cometabolic transformation of CAH compounds is important at sites where the redox condition does not favor natural attenuation or populations of indigenous microorganisms are relatively low. At sites where the ground-water system is aerobic, monitored natural attenuation strategies will not meet remediation objectives, or both, enhanced bioremediation via cometabolism is an option. Models are needed to simulate cometabolism in an effort to improve performance and design. The SEAM3D Cometabolism Package was designed to address this need. The objective of this report is to model field data to determine the ability of SEAM3D to simulate the performance of cometabolism. A ground-water flow and transport model was designed based on reported parameters used in the field experiments at Moffett Field. Electron donor and acceptor breakthrough curves were also simulated in an effort to calibrate the model. Several data sets describing the cometabolism of CAHs were used in the cometabolism modeling for calibration to field data. The cometabolism modeling showed areas of best fit calibration with modification to the model parameters reported for the pilot tests at Moffett Field. The overall performance of the SEAM3D Cometabolism Package described in this report establishes validation of the model using field experiment results from the literature. Additional model validation is recommended for other contaminants.

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