Karin
T. Rebel1, S. J. Riha2, J. C. Seaman3
and C. D. Barton4
1
1123 Bradfield Hall, Cornell University, Ithaca, New York 14853; ktr5@cornell.edu
2 1110 Bradfield Hall, Cornell University, Ithaca, New York
14853; sjr4@cornell.edu
3 Savannah River Ecology Laboratory, University of Georgia,
Aiken, South Carolina 29802; seaman@srel.edu
4 Department of Forestry, University of Kentucky, 203 Thomas
Poe Cooper Building, Lexington, Kentucky 40546; barton@uky.edu
Abstract
To minimize movement of tritium into surface waters at the Mixed Waste
Management Facility at the Savannah River Site, tritium-contaminated
groundwater released to the surface along seeps in the hillside is being
retained in a constructed pond and used to irrigate forest acreage that
lies over the contaminated groundwater. Management of the application
of tritium-contaminated irrigation water needs to be evaluated in the
context of the large amount of rainfall relative to evapotranspiration,
the strong seasonality in evapotranspiration, and intra-annual and interannual
variability in precipitation in this region. A dynamic simulation model
of water and tritium fluxes in the soil-plant-atmosphere continuum was
developed to assess the efficiency (tritium transpired/tritium applied)
of several irrigation management strategies. The model was parameterized
using soil-water content data measured at 18 sites for the first year
of the project and evaluated using tritium activity measurements made
at the same 18 sites over 2.5 yr. The model was then used to evaluate
several irrigation strategies. The 25-yr efficiencies (tritium transpired/tritium
applied) of the irrigation strategies were related to the quantity of
irrigation water applied. There was a strong (r2 = 0.99)
negative linear relationship between irrigation water applied and efficiency.
When a quasi-steady state has been reached in the system, the annual
efficiencies of all the irrigation strategies were negatively correlated
with annual rainfall. Quantification of these relationships allows irrigation
managers to choose irrigation strategies based on desired long-term
system efficiency, which differ with climate and irrigation strategy.
SREL
Reprint #2959
Rebel,
K. T., S. J. Riha, J. C. Seaman, and C. D. Barton. 2006. The use of
dynamic modeling in assessing tritium phytoremediation. Environmental
Geosciences 12(4):243-250.