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RELATIONSHIP BETWEEN GEOCHEMICAL PARAMETERS AND THE OCCURRENCE OF DEHALOCOCCOIDES DNA IN CONTAMINATED AQUIFERS

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email: CESER@epa.gov

Citation:

LU, X., J. T. WILSON, AND D. H. KAMPBELL. RELATIONSHIP BETWEEN GEOCHEMICAL PARAMETERS AND THE OCCURRENCE OF DEHALOCOCCOIDES DNA IN CONTAMINATED AQUIFERS. doi:10.1029/2005WR00, M. Parlange (ed.), WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, 42(8 WO8427):1-10, (2006).

Impact/Purpose:

to present information

Description:

Stains of Dehalococcoides are the only microbes known that can completely dechlorinate PCE, TCE, cis-DCE and vinyl chloride to ethylene. Either naturally-occurring strains or bioaugmentation cultures of Dehalococcoides are widely used for in situ bioremediation of contaminated ground water. Naturally-occurring stains have an important role in natural attenuation of PCE, TCE, cis-DCE and vinyl chloride in ground water. This study evaluated the relationship between selected biogeochemical parameters and the presence of Dehalococcoides DNA in field scale plumes. A total of 81 groundwater samples were collected from 15 ground water plumes at ten locations across the United States. The presence of Dehalococcoides DNA was determined with an assay based on the polymerase chain reaction using DNA primers for the 16S rRNA gene of Dehalococcoides. The ground water samples were also analyzed for concentrations of O2, NO3-1 plus NO2-1-N, CH4, H2, Fe (II), SO4-2, TOC, Cl-1, and BTEX compounds, and for alkalinity, ORP, electrical conductivity, pH, and temperature. Dehalococcoides DNA was unequivocally detected in 26 wells, most of which exhibited methanogenic conditions. A two-sample Kolmogorov-Smirnov test was used to compare the distribution of each parameter in water where Dehalococcoides DNA was present to the distribution where Dehalococcoides DNA was absent. The only parameters for which the distributions were different at 95% confidence were NO3-1 plus NO2-1-N, CH4, and ORP. Using these three statistically significant geochemical parameters as descriptors, a predictive model for the presence of Dehalococcoides DNA was developed using logistic regression with a binary response.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:08/22/2006
Record Last Revised:04/15/2008
OMB Category:Other
Record ID: 133385