Abstract
The Equus Beds aquifer is a primary water-supply source
for Wichita, Kansas and the surrounding area because of
shallow depth to water, large saturated thickness, and generally
good water quality. Substantial water-level declines in the
Equus Beds aquifer have resulted from pumping groundwater
for agricultural and municipal needs, as well as periodic
drought conditions. In March 2006, the city of Wichita began
construction of the Equus Beds Aquifer Storage and Recovery
project to store and later recover groundwater, and to form
a hydraulic barrier to the known chloride-brine plume near
Burrton, Kansas. In October 2009, the U.S. Geological Survey,
in cooperation with the city of Wichita, began a study to determine
groundwater flow in the area of the Wichita well field,
and chloride transport from the Arkansas River and Burrton
oilfield to the Wichita well field.
Groundwater flow was simulated for the Equus Beds
aquifer using the three-dimensional finite-difference groundwater-flow model MODFLOW-2000. The model simulates
steady-state and transient conditions. The groundwater-flow
model was calibrated by adjusting model input data and model
geometry until model results matched field observations
within an acceptable level of accuracy. The root mean square
(RMS) error for water-level observations for the steady-state
calibration simulation is 9.82 feet. The ratio of the RMS error
to the total head loss in the model area is 0.049 and the mean
error for water-level observations is 3.86 feet. The difference
between flow into the model and flow out of the model across
all model boundaries is -0.08 percent of total flow for the
steady-state calibration. The RMS error for water-level observations
for the transient calibration simulation is 2.48 feet, the
ratio of the RMS error to the total head loss in the model area
is 0.0124, and the mean error for water-level observations is
0.03 feet. The RMS error calculated for observed and simulated
base flow gains or losses for the Arkansas River for the
transient simulation is 7,916,564 cubic feet per day (91.6 cubic
feet per second) and the RMS error divided by (/) the total
range in streamflow (7,916,564/37,461,669 cubic feet per
day) is 22 percent. The RMS error calculated for observed and
simulated streamflow gains or losses for the Little Arkansas
River for the transient simulation is 5,610,089 cubic feet per
day(64.9 cubic feet per second) and the RMS error divided by
the total range in streamflow (5,612,918/41,791,091 cubic feet
per day) is 13 percent. The mean error between observed and
simulated base flow gains or losses was 29,999 cubic feet per
day (0.34 cubic feet per second) for the Arkansas River and
-1,369,250 cubic feet per day (-15.8 cubic feet per second)
for the Little Arkansas River. Cumulative streamflow gain
and loss observations are similar to the cumulative simulated
equivalents. Average percent mass balance difference for
individual stress periods ranged from -0.46 to 0.51 percent.
The cumulative mass balance for the transient calibration was
0.01 percent.
Composite scaled sensitivities indicate the simulations
are most sensitive to parameters with a large areal distribution.
For the steady-state calibration, these parameters include
recharge, hydraulic conductivity, and vertical conductance. For
the transient simulation, these parameters include evapotranspiration,
recharge, and hydraulic conductivity.
The ability of the calibrated model to account for the
additional groundwater recharged to the Equus Beds aquifer as
part of the Aquifer Storage and Recovery project was assessed
by using the U.S. Geological Survey subregional water budget
program ZONEBUDGET and comparing those results to
metered recharge for 2007 and 2008 and previous estimates of
artificial recharge. The change in storage between simulations
is the volume of water that estimates the recharge credit for
the aquifer storage and recovery system.
The estimated increase in storage of 1,607 acre-ft
in the basin storage area compared to metered recharge
of 1,796 acre-ft indicates some loss of metered recharge.
Increased storage outside of the basin storage area of
183 acre-ft accounts for all but 6 acre-ft or 0.33 percent of
the total. Previously estimated recharge credits for 2007
and 2008 are 1,018 and 600 acre-ft, respectively, and a total estimated recharge credit of 1,618 acre-ft. Storage changes
calculated for this study are 4.42 percent less for 2007
and 5.67 percent more for 2008 than previous estimates.
Total storage change for 2007 and 2008 is 0.68 percent less
than previous estimates. The small difference between the
increase in storage from artificial recharge estimated with
the groundwater-flow model and metered recharge indicates
the groundwater model correctly accounts for the additional
water recharged to the Equus Beds aquifer as part of the
Aquifer Storage and Recovery project. Small percent differences
between inflows and outflows for all stress periods and
all index cells in the basin storage area, improved calibration
compared to the previous model, and a reasonable match
between simulated and measured long-term base flow indicates
the groundwater model accurately simulates groundwater
flow in the study area.
The change in groundwater level through recent years
compared to the August 1940 groundwater level map has
been documented and used to assess the change of storage
volume of the Equus Beds aquifer in and near the Wichita
well field for three different areas. Two methods were used
to estimate changes in storage from simulation results using
simulated change in groundwater levels in layer 1 between
stress periods, and using ZONEBUDGET to calculate the
change in storage in the same way the effects of artificial
recharge were estimated within the basin storage area. The
three methods indicate similar trends although the magnitude
of storage changes differ.
Information about the change in storage in response to
hydrologic stresses is important for managing groundwater
resources in the study area. The comparison between the three
methods indicates similar storage change trends are estimated
and each could be used to determine relative increases
or decreases in storage. Use of groundwater level changes
that do not include storage changes that occur in confined or
semi-confined parts of the aquifer will slightly underestimate
storage changes; however, use of specific yield and groundwater
level changes to estimate storage change in confined or
semi-confined parts of the aquifer will overestimate storage
changes. Using only changes in shallow groundwater levels
would provide more accurate storage change estimates for the
measured groundwater levels method.
The value used for specific yield is also an important
consideration when estimating storage. For the Equus Beds
aquifer the reported specific yield ranges between 0.08 and
0.35 and the storage coefficient (for confined conditions)
ranges between 0.0004 and 0.16. Considering the importance
of the value of specific yield and storage coefficient to
estimates of storage change over time, and the wide range and
substantial overlap for the reported values for specific yield
and storage coefficient in the study area, further information
on the distribution of specific yield and storage coefficient
within the Equus Beds aquifer in the study area would greatly
enhance the accuracy of estimated storage changes using both
simulated groundwater level, simulated groundwater budget,
or measured groundwater level methods.