Accession Number : ADA465182


Title :   Modeling In Situ Bioremediation of Perchlorate-Contaminated Groundwater


Descriptive Note : Master's Thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING AND MANAGEMENT


Personal Author(s) : Secody, Roland E


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a465182.pdf


Report Date : Mar 2007


Pagination or Media Count : 126


Abstract : Perchlorate-contaminated groundwater is a significant problem for the Department of Defense and the United States Air Force. An innovative technology was recently developed which uses 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 without the need to extract the contaminated water from the subsurface. In this study, a model that simulates operation of the technology is calibrated and validated using 761 days of observational data obtained from a field-scale technology evaluation project. A genetic algorithm was used with the first 113 days of data to derive a set of best-fit parameters to describe perchlorate reduction kinetics for the electron donor, citrate, utilized in the evaluation study. The calibrated parameter values were then used to predict technology performance from day 114 through day 761. Measurements of goodness-of-fit statistics indicate the model appears to qualitatively reproduce the salient characteristics of the observed data when utilizing the new best-fit parameter values. Therefore, it appears the model may be a useful tool for designing and operating this technology at other perchlorate-contaminated sites.


Descriptors :   *GROUND WATER , *CONTAMINATION , *WASTE TREATMENT , *PERCHLORATES , *BIODEGRADATION , *REDUCTION(CHEMISTRY) , ALGORITHMS , AIR FORCE , DEPARTMENT OF DEFENSE , UNITED STATES , GENETICS , GOODNESS OF FIT TESTS , OPERATION , KINETICS , CALIBRATION , PARAMETERS , WATER , STATISTICS , ELECTRONS


Subject Categories : Biochemistry
      Inorganic Chemistry
      Water Pollution and Control


Distribution Statement : APPROVED FOR PUBLIC RELEASE