BER launches Environmental System Science Program. Visit our new website under construction!

U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

New Model Improves Prediction of Contaminant Movement
Published: March 03, 2011
Posted: April 07, 2011

The conventional approach for monitoring contaminant movement in groundwater is to drill monitoring boreholes and watch the groundwater for contaminants—a time-consuming and expensive approach subject to uncertainties regarding the direction or depth of contaminant movement. Moreover, in areas of high rainfall or recharge, contaminant movement can be greatly influenced by significant recharge events. A team of scientists from Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory, and the University of Tennessee collaborated to develop a modeling approach that couples time-lapse electrical resistivity data with hydrogeochemical data and processes. The team validated the model using data from a location within DOE’s Oak Ridge Integrated Field Research Challenge site in Oak Ridge, TN, demonstrating that they could accurately simulate recharge events for this location using this coupled approach. Estimates from this model are now being used to constrain the site-wide model.

Reference: Kowalsky, M. B., E. Gasperikova, S. Finsterle, D. Watson, G. Baker, and S. S. Hubbard. 2011. "Coupled Modeling of Hydrogeochemical and Electrical Resistivity Data for Exploring the Impact of Recharge on Subsurface Contamination," Water Resources Research doi:10.1029/2009WR008947.

Contact: Paul E. Bayer, SC-23.1, (301) 903-5324
Topic Areas:

  • Research Area: Subsurface Biogeochemical Research

Division: SC-33.1 Earth and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

Mar 23, 2021
Molecular Connections from Plants to Fungi to Ants
Lipids transfer energy and serve as an inter-kingdom communication tool in leaf-cutter ants&rsqu [more...]

Mar 19, 2021
Microbes Use Ancient Metabolism to Cycle Phosphorus
Microbial cycling of phosphorus through reduction-oxidation reactions is older and more widespre [more...]

Feb 22, 2021
Warming Soil Means Stronger Microbe Networks
Soil warming leads to more complex, larger, and more connected networks of microbes in those soi [more...]

Jan 27, 2021
Labeling the Thale Cress Metabolites
New data pipeline identifies metabolites following heavy isotope labeling.

Analysis [more...]

Aug 31, 2020
Novel Bacterial Clade Reveals Origin of Form I Rubisco

  • All plant biomass is sourced from the carbon-fixing enzyme Rub [more...]

List all highlights (possible long download time)