HR: 0800h
AN: H41E-0829 [Abstracts]
TI: A Comparison of Groundwater Fluxes Computed with MODFLOW and a Stable Isotope Mixing
Model: Application to the Eastern Nevada Test Site and Vicinity
AU: * Carroll, R W
EM: Rosemary.Carroll@dri.edu
AF: Desert Research Institute
Division of Hydrologic Sciences, 2215 Raggio Parkway, Reno, NV 89512, United States
AU: Pohll, G M
EM: Greg.Pohll@dri.edu
AF: Desert Research Institute
Division of Hydrologic Sciences, 2215 Raggio Parkway, Reno, NV 89512, United States
AU: Earman, S
EM: Sam.Earman@dri.edu
AF: Desert Research Institute
Division of Hydrologic Sciences, 2215 Raggio Parkway, Reno, NV 89512, United States
AU: Hershey, R L
EM: Ronald.Hershey@dri.edu
AF: Desert Research Institute
Division of Hydrologic Sciences, 2215 Raggio Parkway, Reno, NV 89512, United States
AB:
The primary objective of this study was to compare groundwater flows in the vicinity of the eastern Nevada Test
Site (NTS) computed with a hydraulically defined groundwater flow model against those predicted with an
isotopically based mixing model. The US Geological Survey (USGS) Death Valley Regional Flow Model (DVRFM)
is a transient, three-dimensional, groundwater model that uses the public domain, finite difference code
MODFLOW. The second model (Discrete-State Compartment Model-Shuffled Complex Evolution; DSCM-SCE) is
a recently developed code that auto-calibrates groundwater flows (both magnitude and direction) using a steady-
state mixing algorithm to best match observed conservative tracer concentrations in groundwater. The model can
be calibrated based on data for multiple tracers with tracer concentrations considered either independent or fully
covariant. To compare modeling approaches, DVRFM boundary conditions and cell-to-cell interactions were
used in the DSCM-SCE's 15-cell eastern NTS model. Analysis of δD and δ18O data
conducted throughout the model domain suggests recharge and mixing may be the dominant mechanisms for
groundwater isotopic enrichment in the down gradient direction. Model results show that DVRFM boundary fluxes
and cell outflows match representative groundwater isotopic values relatively well. However, optimization on data
for an individual isotope lowered the objective function, while combining δD and δ18O
independently produced the least error. Large uncertainty in the estimated covariant relationships between
δD and δ18O prohibited development of a unique DSCM-SCE solution. Results suggest error
exists in estimated DVRFM boundary conditions associated with three of the fifteen modeled basins, while the
lack of isotopic data in several basins defining the eastern edge of the model prevents certitude of results
pertaining to fluxes in this portion of the model. Future work will look at the uncertainty associated with boundary
conditions and what data will better constrain the model for improved fit.
DE: 1828 Groundwater hydraulics
DE: 1829 Groundwater hydrology
DE: 1846 Model calibration (3333)
DE: 1847 Modeling
SC: Hydrology [H]
MN: 2007 Fall Meeting