Modeling uranium transport in acidic contaminated groundwater with base addition

Fan Zhang, Wensui Luo, Jack C. Parker, Scott C. Brooks, David B. Watson, Philip M. Jardine, Baohua Gu

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11 Scopus citations

Abstract

This study investigates reactive transport modeling in a column of uranium(VI)-contaminated sediments with base additions in the circulating influent. The groundwater and sediment exhibit oxic conditions with low pH, high concentrations of NO3-, SO42-, U and various metal cations. Preliminary batch experiments indicate that additions of strong base induce rapid immobilization of U for this material. In the column experiment that is the focus of the present study, effluent groundwater was titrated with NaOH solution in an inflow reservoir before reinjection to gradually increase the solution pH in the column. An equilibrium hydrolysis, precipitation and ion exchange reaction model developed through simulation of the preliminary batch titration experiments predicted faster reduction of aqueous Al than observed in the column experiment. The model was therefore modified to consider reaction kinetics for the precipitation and dissolution processes which are the major mechanism for Al immobilization. The combined kinetic and equilibrium reaction model adequately described variations in pH, aqueous concentrations of metal cations (Al, Ca, Mg, Sr, Mn, Ni, Co), sulfate and U(VI). The experimental and modeling results indicate that U(VI) can be effectively sequestered with controlled base addition due to sorption by slowly precipitated Al with pH-dependent surface charge. The model may prove useful to predict field-scale U(VI) sequestration and remediation effectiveness.

Original languageEnglish
Pages (from-to)863-868
Number of pages6
JournalJournal of Hazardous Materials
Volume190
Issue number1-3
DOIs
StatePublished - Jun 15 2011

Funding

This research was funded by the U.S. Department of Energy, Office of Science, Biological and Environmental Research, Subsurface Biogeochemical Research (SBR) Program . Oak Ridge National Laboratory is managed by UT-Battelle, LLC, for the U.S. Department of Energy under Contract DE-AC05-00OR22725. Fan Zhang was supported by the Hundred Talent Program, Chinese Academy of Sciences during revision of the manuscript.

FundersFunder number
U.S. Department of Energy
Office of Science
Biological and Environmental Research
Oak Ridge National LaboratoryDE-AC05-00OR22725
Chinese Academy of Sciences

    Keywords

    • Modeling
    • PH
    • Sequestration
    • Transport
    • Uranium

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