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Period T
rnillireconds)
TCS
Leach
Pad
1
Lab Regrassion or
TCS
. ab Regress~onor Leach Pad 1
Figure 2 Campbell
6
5 water content reflectometer
and its calibration curves for leach pad and TC S materials:
a) TDR unit and b) calibration curves.
where
T* is the normalized tem perature rise.
Th e temperature unit of Eq. ( 2) is in Celsius.
Five HDS units were calibrated using this method, and the
calibrated results are presented in Fig.
3.
This norm alizing
procedure elimin ates the need for multipoint calibration curves
for each sensor and, thus. greatly simplifies the calibration
process. Through this new calibration procedure, HDS can
provide accurate m atric suction readings in the range of 50 to
10,000 cm (20 to 4.000 in.) .
Test cell instrument installation. Each test cell was instru-
mented with TDR andH DS . The distance between the two cell
locations is approxim ately 2 m 6.6 ft). Figure 4 illustrates the
sensor layout at one test cell and sensor setup at different
depths.
Th e instruments were installed in a trench excavated by a
backhoe a t depths of 15 ,45 ,7 5 and 120 cm
(6,
1 8 , 3 0and 48
in.). Th e top two sensor pairs were located in the cover layer,
while the bottom two senso r pairs were located in the leach
pad. The material excavated from each lift was stockpiled
separately on the groun d surface, so it could be back-filled to
the sam e depth.
Pairs of TDR and HDS were positioned horizontally and
adjacent to each other. The compaction was completed by a
gasoline-pow ered Whacker to repack the trench to approxi-
mately the sam e bulk density as the material prior to
excava-
Dimensionless Temperature Rise T
HDS Probes
abRegression
Figure
3
ampbell
229
heat-dispassion sensor and
calibration curves: a) HDS unit and b) calibration curve.
tion. The in situ field porosities
n )
of the cover and the leach
pad were approximately 0.38 and 0.19, respectively.
In
situ test results. Approximately 120 m3 or 227 cm (4,200
cu ft or 89 in.) of water was ap plied to the test area. Three types
of irrigation ev ents were evaluated:
A large influx fbl lo~+ ~edy long-time drainage:
Ap-
proximately 207 .3 cm (8 1.6 in.)
of
water (equal to about
6.3 years of precipitation) was applied between July 2 4
to August 8. Th e wetting front mov ements in the cover
and leach pad materials and the drying cycle were
monitored in this process.
Rainfall: Rainfall occurred on August 23, August 3
1
Septemb er 1-2 and Septem ber 22. The total rainfall was
about 2 .4 cm (0.95 in.).
Three episodes of adding dlferent volumes of I+,ater:
These occurred on September 12- 13, September 8 and
Septemb er 21. Th e controlled irrigation rate for these
episodes were 1 1.2,2.6 and 3.6 c m 4.4, l O and 1.4 in . ) ,
respective1 y.
Figures 5 and
6
show the volumetric water content
0)
measurements and matric suction
y)
easurements at two
test cells. The observed results of volumetric water content
and matric suction from the two adjacent cells are quite
similar.
During the large influx , it took about three day s for water
to percolate through the 60-cm (24-in.) cover. Th e volumetric
water content for TCS and leach-pad materials reached their
porosity values, which are 0.38 and 0.19, respectively. The
water content measurem ents showed large peaks for both the
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(a> a
Cell
I
(a )
b)
DAY
b
Cell
2
1O.OW
DAY
20
-
15 g
.
-
l o
K
.
d
m
5
DAY DAY
Figure
8 imulated volumetric water content, suction,
Figure
6 Measured m atric suction at each depth interval
and applied irrigation rate: a) simulated volumetric water
and applied irrigation rate.
content and b) simulated matric suction.
rcs
ma)
LEACH PAD GSA)
-
T S FITTED) LEACH PAD FITTED)
4
-
3
25
2 1
5
1 l X1 1
loow
1 1
blittric
Suction
( -cm)
Figure 7 bserved and fitted WRC for the leach pad
and TCS materials.
ing numerical simulations, all GSA points and two high
suction points from DBA are combin ed to form a new repre-
sentative WR C for the TCS and leach pad materials. The new
data sets were fitted to Fredlund's equation using SoilCover
(Fredlund and Xing , 1994; Fredlund et al., 1994: Geo-A naly-
sis 2000 L td.. 1997). The fitted results are also presented in
Fig. 7.
The numerical simulation s were conducted using the one-
dimensional code SoilCover. Detailed daily weather data
were used. The weather station at the mine site recorded
hourly dat a for the test period. T he data includes air tenipera-
ture, wind spe ed, relative hum idity. precipitation and total
radiation. SoilCover computes potential evaporation (PE)
using a modified Pen mam equation that requires net radiation
as input (Wilson, 1990). Net radiation was calibrated to match
the measured total weekly pan evaporation. The simulated
volumetric w ater content and suction values at the four depths,
at which the sensors are installed. are presented in Fig.
8.
The simulated results show reasonably good agreements
with the observed results, as shown in Figs. 5 and
6.
The
wetting fronts are well simulated. The calculated water con -
tent values in the leach pad are similar to the obser ved values,
while the simulated water content valu es in the TC S layer are
slightly lower than the observed values. Becau se the test cells
are on the east-facing slope, less exposure to sun shine could
account forthis difference. Another explanation for the offset
is that the hydraulic properties in situ might be slightly
different than the ones used fo r the calculations. In addition.
only one-dimensional conditions are treated by the code,
which may induce some differences in the results. The
simulated suction values during the large influx period are
much less than the observed values. This may be due to
calibration limitation of HD S that are unable to read suction
values below 50 cm (20 in.) . The simulated suction values at
the shallowest depth shows a significant drop due to the
precipitation events from August
3
to Septem ber 2, but the
observed values do not. It is also possible that the senso rs at
the shallowest depths were installed somew hat deeper than
15
crn
6 in.) or lateral movem ent of water in the cove r, which
a one-dimensional model could not simulate. In spite of the
slight differences, the overall response of the system is well
represented by the numerical calculations.
Long term cover performance predictions
It was demonstrated that the observed rewlts from the pilot
study were simulated reasonably w ell using SoilCover. Dur-
ing long irrigation periods, the volumetric water content of the
unvegetated cover w as as high as 0.26, which is much larger
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Table 1 -Water budget terms of the standard simulation.
Cumulative precipitation, mm
Daily rain period, hr
Cumulative evaporation, mm
Cumulative runoff, mm
Cumulative infiltration, mm
Cumulative transpiration, mm
Cumulative cover bottom flow, mm
Cumulative pad bottom flow, mm
than the residual water content that could be achieved after
extended dry periods or with the addition of vegetation. To
predict long-term performance of the vegetated CCBE, a
quasi-steady-state simulation was conducted for a TC S cover
with thickness of 9 0 cm (36 in.).
Model inputs
In addition to the hydrologic parameters of the
TC S leach pad materials, the following inp uts were also used
in the simulation:
Clirnatic da ta Th e weather station at the mine site has a
complete daily data set for the year 1998. This data set is used
for the weather input with the following modifications:
The 1998 precipitation data were scaled to match the
long-tern1 annual average precipitation from a USGS
weather station. located about km (5 miles) southeast
of the m ine site. This state weather station has 22 years
of precipitation records with an average annu al precipi-
tation of about 33 c m (13 in.) . The shorter record from
the mine-site weather station is consistent with data
from this station.
Net radiation was estimated from incom ing radiation and
pan evaporation. Pan evaporation of about 150 cmlyear
(59 in./year) was measured at the mine site. Soilc over
requires net radiation as input. Net radiation equals
incoming radiation, measured by the sensor, minus re-
flected radiation. Reflected radiation is the product of
incoming radiation and a coefficient of albedo. Coeffi-
cient of albedo was calculated to be 0.25 based on a
potent ia l evapora tion of 150 c d y e a r (59 id ye ar ) .
Boundary conditiorzs
Climatic data were used to define
the suction and temperature boundary con ditions that control
water and heat exchange between the atmosphere and the
upper su rface of the leach pad. Th e lower portion of the leach
pad was represented as fully saturated with a constant tem-
perature equal to the annual average air temperature of 9C
(48F).
Vrgrtat ion Th e method used by the program accou nts for
the effects of canopy cover , root depth an d water stress. Th e
vegetation is characterized as poor, having a leaf area index
(LAI)
from 0 to 1. The growth period is from M arch 16 to
October 15. The root zon e depth is specified as 90 c m (36 in.) .
Th e moisture limiting point of the vegetation is specified as
100 kPa. Th e wilting point of the veg etation is specified as
1.500 kPa.
When suction is smaller than the limiting point (i.e., the soil
is relatively wet), plant transpiration is uninhibited. When
suction is between the limiting point and the wilting point,
plant transpiration is reduced by a factor that is proportional
to the log of suction. Plant transpiration is zero when suction
is greater than o r equal to the wilting point.
Volumetric water content cm3/cm3
Figure 9 -Simula ted water-content profiles of leach pad
with 90 c m
36
in. TC S cover.
Initial con dition dynamic quasi-steady-state condition
was calculated as the initial condition of the sin~ ula tio ns. he
dynam ic quasi-steady-state was reached by inputting the daily
climate information into the model and executing several
iterations until the sim ulated water content profiles were the
same on a particular day for successive annual periods.
Simulated results
The simulated cumulative water budget
terms are summ arized in Table 1. Values presented in the table
show that there is no water seeping to the coarse leach pad
material, and no water flows through the bottom of the pad.
Simulated water content profiles are presented in Fig. 9.
Results from D ays 0 , 16, 21 1 and 365 are p resented fo r
illustrative purposes. Day 16 is a wet winter day during a high
precipitation period, and Day 21 1 is a dry day in the sum mer.
Examination of the profiles indicates that a strong capillary
barrier effect is established. The fine-grain material in the
cover layer is much wetter than the underlying leach pad
material, which h as a very low hydrau lic conductivity, hence,
preventing downward vertical water flow.
The simulated results demonstrate that a 90 cm (36 in.)
TC S cover effectively limits water infiltration to the leach pad
during av erage weather con ditions. It is interesting to note that
the water content in the vegetated cover is approximately
0.17 , which is significantly low er than the w aterco nten t of the
unvegetated cover. Therefore, vegetation will effectively in-
crease the water holding capacity of the cover.
Discussions and conclusions
The observ ed test results demonstrate that the cover perfor-
mance can be monitored using TDR and HDS monitors.
Strong lateral capillary rise was observed during the test. This
phenonlenon can only occur for fine materials with significant
water-retention capacity. With vegetation developed on the
cover, the water content of the cover is sim ulated to be about
0.17 . Wa ter content of the cover at field capacity can reach as
high as 0.30, as demon strated by the test during the irrigation
period of Septem ber 18 and 21, so the additional unit storage
capacity of the cover to 0.13 (0.30 minus 0.17). A cover
thickness of 9 0 to 120 cm (36 to 48 in.) will s tore 12 to 16 cm
(4.7 to 6.3 in.) of w ater, independent of evaporation and lateral
drainage. Based on this analysis, the holding capacity of the
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cover has sufficient volume to retain three continuous
100-
year storm events, i .e.. approxim ately 24c m 9.5 in.) of wa ter,
assuming half the precipitation is surface runoff. Therefore,
the cover will operate as designed even under extreme precipi-
tation conditions.
cknowledgements
This paper is aresu lt of the AA leach pad reclamation program
of Barrick Goldstrike Mines Inc. The authors thank Dr. M.
Anken ey, Daniel B. Stephens Asso ciates Inc., for technical
support . Dr. D. Hammermeister and Mr. M. Milczarek, Geo-
~ i s i e m nalysi s Inc . , a re al so acknowledged for the sensor
calibrations and installation.
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