The molecular form of reduced uranium in the subsurface is affected by common sediment constituents.
Clay minerals are ubiquitous native components of sediments and soils, as well as a material used in the engineered barriers of spent nuclear fuel storage facilities. A recent study examined the molecular form of uranium(IV) in the presence of montmorillonite clays and found that they can inhibit the predicted precipitation of the mineral uraninite.
The effect of environmental surfaces on the form of reduced uranium is currently not accounted for in computational models. This study used state-of-the-art spectroscopy techniques to provide the molecular-level information needed for accurate prediction of uranium transport in subsurface environments.
Uranium mobility in the subsurface depends strongly on its oxidation state, with U(IV) being significantly less soluble than U(VI). However, solubility also depends on the contaminant’s molecular form, which can be affected by adsorption to the surface of minerals, bacterial membranes, and other constituents in the surrounding environment. Researchers examined the ability of montmorillonite clay minerals to adsorb U(IV) resulting from the reduction of U(VI) and compared it to that of iron and titanium oxide surfaces. The valence and molecular structure of U was tracked by synchrotron x-ray absorption spectroscopy. Findings showed that at low clay surface:U ratios, the reduction of U(VI) in the presence of SYn-1 montmorillonite leads to the formation of the mineral uraninite (UO2). However, at high clay surface:U ratios (more typical of environmental conditions), a significant fraction of the resulting U(IV) is present as adsorbed U(IV) ions (up to 50% of total U). The threshold U(IV) surface coverage above which uraninite formation begins was determined to be significantly lower for montmorillonite than for iron or titanium oxides, suggesting that metal oxides may play a more important role than clay minerals in stabilizing the nonuraninite species observed in natural sediments.
Contacts (BER PM)
Dr. Roland F. Hirsch
Program Officer, U.S. DOE Office of Science
email@example.com; (301) 903-9009
Dr. Kenneth M. Kemner
Argonne National Laboratory
firstname.lastname@example.org; (630) 252-1163
This research is part of the Subsurface Science Scientific Focus Area at Argonne National Laboratory (ANL), which is supported by the U.S. Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research, Subsurface Biogeochemical Research program. Use of the Electron Microscopy Center at ANL and the Advanced Photon Source is supported by DOE’s Office of Science, Office of Basic Energy Sciences. MRCAT/EnviroCAT operations are supported by DOE and the MRCAT/EnviroCAT member institutions. All work at ANL was under contract DE-AC02-06CH11357.
M. I. Boyanov, D. E. Latta, M. M. Scherer, E. J. O’Loughlin, and K. M. Kemner, “Surface area effects on the reduction of UVI in the presence of synthetic montmorillonite.” Chemical Geology (2017). [DOI: 10.1016/j.chemgeo.2016.12.016] (Reference link)
Subsurface Science Scientific Focus Area at Argonne National Laboratory
SC-23.1 Climate and Environmental Sciences Division, BER
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]
May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]
May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]
May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]
Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]
List all highlights (possible long download time)