Literature DB >> 19708377

Mineral transformation and biomass accumulation associated with uranium bioremediation at Rifle, Colorado.

Li Li1, Carl I Steefel, Kenneth H Williams, Michael J Wilkins, Susan S Hubbard.   

Abstract

Injection of organic carbon into the subsurface as an electron donor for bioremediation of redox-sensitive contaminants like uranium often leads to mineral transformation and biomass accumulation, both of which can alter the flow field and potentially bioremediation efficacy. This work combines reactive transport modeling with a column experiment and field measurements to understand the biogeochemical processes and to quantify the biomass and mineral transformation/accumulation during a bioremediation experiment at a uranium contaminated site near Rifle, Colorado. We use the reactive transport model CrunchFlow to explicitly simulate microbial community dynamics of iron and sulfate reducers, and their impacts on reaction rates. The column experiment shows clear evidence of mineral precipitation, primarily in the form of calcite and iron monosulfide. At the field scale, reactive transport simulations suggest that the biogeochemical reactions occur mostly close to the injection wells where acetate concentrations are highest, with mineral precipitate and biomass accumulation reaching as high as 1.5% of the pore space. This work shows that reactive transport modeling coupled with field data can bean effective tool for quantitative estimation of mineral transformation and biomass accumulation, thus improving the design of bioremediation strategies.

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Year:  2009        PMID: 19708377     DOI: 10.1021/es900016v

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

1.  Aquifer environment selects for microbial species cohorts in sediment and groundwater.

Authors:  Laura A Hug; Brian C Thomas; Christopher T Brown; Kyle R Frischkorn; Kenneth H Williams; Susannah G Tringe; Jillian F Banfield
Journal:  ISME J       Date:  2015-02-03       Impact factor: 10.302

2.  Evaluation of a genome-scale in silico metabolic model for Geobacter metallireducens by using proteomic data from a field biostimulation experiment.

Authors:  Yilin Fang; Michael J Wilkins; Steven B Yabusaki; Mary S Lipton; Philip E Long
Journal:  Appl Environ Microbiol       Date:  2012-10-05       Impact factor: 4.792

3.  Imaging and modeling of flow in porous media using clinical nuclear emission tomography systems and computational fluid dynamics.

Authors:  Rostyslav Boutchko; Vitaliy L Rayz; Nicholas T Vandehey; James P O'Neil; Thomas F Budinger; Peter S Nico; Jennifer L Druhan; David A Saloner; Grant T Gullberg; William W Moses
Journal:  J Appl Geophy       Date:  2012-01       Impact factor: 2.121

4.  Speciation and reactivity of uranium products formed during in situ bioremediation in a shallow alluvial aquifer.

Authors:  Daniel S Alessi; Juan S Lezama-Pacheco; Noémie Janot; Elena I Suvorova; José M Cerrato; Daniel E Giammar; James A Davis; Patricia M Fox; Kenneth H Williams; Philip E Long; Kim M Handley; Rizlan Bernier-Latmani; John R Bargar
Journal:  Environ Sci Technol       Date:  2014-10-27       Impact factor: 9.028

5.  Dying for Good: Virus-Bacterium Biofilm Co-evolution Enhances Environmental Fitness.

Authors:  Hongjun Jin; Thomas C Squier; Philip E Long
Journal:  Biochem Insights       Date:  2012-07-03

6.  Isotopic insights into microbial sulfur cycling in oil reservoirs.

Authors:  Christopher G Hubbard; Yiwei Cheng; Anna Engelbrekston; Jennifer L Druhan; Li Li; Jonathan B Ajo-Franklin; John D Coates; Mark E Conrad
Journal:  Front Microbiol       Date:  2014-09-19       Impact factor: 5.640

7.  Attenuating Sulfidogenesis in a Soured Continuous Flow Column System With Perchlorate Treatment.

Authors:  Anna L Engelbrektson; Yiwei Cheng; Christopher G Hubbard; Yong T Jin; Bhavna Arora; Lauren M Tom; Ping Hu; Anna-Lena Grauel; Mark E Conrad; Gary L Andersen; Jonathan B Ajo-Franklin; John D Coates
Journal:  Front Microbiol       Date:  2018-07-26       Impact factor: 5.640

  7 in total

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