Abstract
The objective of this study was to assess the effects of uncertainties
in hydrologic and geochemical parameters on the results of simulations
of the tracer transport in variably saturated soils at the USDA-ARS OPE3
field site. A tracer experiment with a pulse of KCL solution applied to
an irrigation plot was implemented to measure the chloride concentration
at three sampling depths of 12 observations wells at the OPE3 site. The
soil material spatial distribution was obtained from soil cores. The
hydraulic conductivity for each material was estimated based on the soil
pore size distribution using the ROSETTA software. Saturated and
residual soil moisture contents, and van Genuchten parameters were
obtained by fitting the van Genuchten model to the measured water
retention curves. A three-dimension flow and transport model was set up
to simulate the flow and chloride transport for the tracer experiment at
the OPE3 site. Sensitivity analysis was conducted for three parameters
(hydraulic conductivity, longitudinal and transverse dispersivity)
through variations of these parameter values by one standard deviation
from the base-case values at each of eight soil materials. The parameter
variations resulted in 256 parameter sets. Sensitivity index of each
parameter for each material was calculated based on the 256
parameter-set modeling results with regard to groundwater level, peak
tracer concentration, and peak travel time. The importance of parameter
variations on the tracer transport at the OPE3 site was evaluated
through the values of sensitivity indices. The results showed that the
variations in hydraulic conductivity at sandy loam soils caused larger
uncertainty of tracer transport than the ones at other soil materials.
Stochastic simulations of the spatial distribution of sandy loam
subsurface structural units can contribute to the evaluation of possible
improvements in monitoring designs. The outcome of this study can
provide the information for the future data collection and monitoring
efforts to further reduce the uncertainty of tracer transport in
variably saturated soils.
Original language | English GB |
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Journal | Geophysical Research Abstracts |
Volume | 53 |
State | Published - 1 Dec 2010 |
Externally published | Yes |
Keywords
- 1847 HYDROLOGY / Modeling
- 1865 HYDROLOGY / Soils
- 1873 HYDROLOGY / Uncertainty assessment