HR: 1340h
AN: H33E-1683    [Abstracts]
TI: Modeling In Situ Bioremediation of Perchlorate-Contaminated Groundwater
AU: * Goltz, M N
EM: mark.goltz@afit.edu
AF: Air Force Institute of Technology, 2950 Hobson Way, Bldg 640 AFIT/ENV, WPAFB, OH 45433-7765, United States
AU: Secody, R E
EM: roland.secody@korea.army.mil
AF: Air Force Institute of Technology, 2950 Hobson Way, Bldg 640 AFIT/ENV, WPAFB, OH 45433-7765, United States
AU: Huang, J
EM: Junqi.Huang@nwfwmd.state.fl.us
AF: Northwest Florida Water Management District, 81 Water Management Drive, Havana, FL 32333-4712, United States
AU: Hatzinger, P B
EM: Paul.Hatzinger@shawgrp.com
AF: Shaw E&I, 17 Princess Rd, Lawrenceville, NJ 08648, United States
AB: Perchlorate-contaminated groundwater is a significant national problem. An innovative technology was recently developed which uses a pair of dual-screened treatment wells to mix an electron donor into perchlorate- contaminated groundwater in order to effect in situ bioremediation of the perchlorate by indigenous perchlorate reducing bacteria (PRB) without the need to extract the contaminated water from the subsurface. The two treatment wells work in tandem to establish a groundwater recirculation zone in the subsurface. Electron donor is added and mixed into perchlorate-contaminated groundwater flowing through each well. The donor serves to stimulate biodegradation of the perchlorate by PRB in bioactive zones that form adjacent to the injection screens of the treatment wells. In this study, a model that simulates operation of the technology was calibrated using concentration data obtained from a field-scale technology evaluation project at a perchlorate-contaminated site. The model simulates transport of perchlorate, the electron donor (citrate, for this study), and competing electron acceptors (oxygen and nitrate) in the groundwater flow field induced by operation of the treatment well pair. A genetic algorithm was used to derive a set of best-fit model parameters to describe the perchlorate reduction kinetics in this field-scale evaluation project. The calibrated parameter values were then used to predict technology performance. The model qualitatively predicted the salient characteristics of the observed data. It appears the model may be a useful tool for designing and operating this technology at other perchlorate-contaminated sites.
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 1831 Groundwater quality
DE: 1832 Groundwater transport
DE: 1846 Model calibration (3333)
DE: 1847 Modeling
SC: Hydrology [H]
MN: 2007 Fall Meeting