RGC: Design of Mine Waste Cover Systems
Design of Mine Waste Cover Systems
Linking Predicted Performance to Groundwater and Surface
Water Impacts
by: Christoph Wels, Ph.D. and Michael
O'Kane, P. Eng
ABSTRACT
Current best management practice requires the placement of a cover onto most
types of mine waste including tailings, waste rock and/or spent heap leach rock
at closure of the mine. The objectives of a cover system may vary from site to
site but generally include (i) dust and erosion control; (ii) chemical
stabilisation of acid-forming mine waste (through control of oxygen ingress)
(iii) contaminant release control (through control of infiltration); and/or (iv)
provision of a growth medium for establishment of sustainable vegetation.
In our experience, there has been a general tendency by stakeholders to
develop performance criteria for cover systems, which are tied directly to these
specific design objectives. In many cases, this practice has led to the
development of single, often very conservative, numerical values of cover
performance criteria such as "net percolation", "rate of oxygen ingress" and/or
"plant density/mixture". In our opinion, there is a need to develop cover
performance criteria on a case-by-case basis and with due consideration of the
short-term and long-term impacts on the receiving environment at a particular
site.
This paper puts forward a methodology for developing site-specific
performance criteria for a cover system designed to isolate acid-forming mine
waste and to control acid rock drainage. The proposed methodology links the
predicted performance of a cover system to groundwater and surface water
impacts. This way, the appropriate level of control (of oxygen ingress and/or
net percolation) required by the cover system can be determined. A case study is
presented that illustrates the application of the methodology proposed in this
paper.
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INTRODUCTION
At many mine sites, the design and construction of a cover system for closure
of a mine waste storage facility, represents the single biggest issue, not only
with respect to environmental impact and cost but also public and regulatory
scrutiny. It is therefore in the best interest of the mining companies and
regulators alike to follow a rigorous procedure for cover design, which results
in the selection of a cost-effective cover system, which at the same time
protects the environment.
The objectives of a cover system may vary from site to site but generally
include (i) dust and erosion control; (ii) chemical stabilisation of
acid-forming mine waste (through control of oxygen ingress) (iii) contaminant
release control (through control of infiltration); and/or (iv) provision of a
growth medium for establishment of sustainable vegetation. In our experience,
there has been a general tendency by regulators to develop performance criteria
for cover systems, which are tied directly to these specific design objectives.
In many cases, this practice has led to the development of single, often very
conservative, numerical values of cover performance criteria such as "net
percolation", "rate of oxygen ingress" and/or "plant density/mixture". In our
opinion, there is a need to develop cover performance criteria on a case-by-case
basis and with due consideration of the short-term and long-term impacts on the
receiving environment at a particular site.
Figure 1 shows the steps required in designing a cover system, which meets
"impact-oriented" performance criteria. Briefly, the process includes five
steps. First, a conceptual cover design is selected based on site-specific
considerations such as type of waste, size and geometry of the storage facility,
climate, etc. Next, a detailed cover design analysis should be carried out which
explores different cover design options and relates cover design parameters
(e.g. cover thickness) to cover performance (e.g. net percolation to the
underlying waste). The third step consists of an impact assessment, which is
aimed at quantifying the relationship of cover design parameters (such as cover
thickness) to environmental impacts (e.g. groundwater quality). In the fourth
step, the impacts are evaluated against regulatory standards. Depending on the
jurisdiction and applicable laws, this step may simply imply a comparison of
predicted impacts (e.g. metal concentration in groundwater) against numerical
standards, or may involve a complex risk assessment. If the predicted impacts
comply with all standards, or pose no unacceptable risk, than the final design
can proceed. If, however, the impacts (or estimated risks) are unacceptable,
then the preliminary cover design will require modification(s). A "fatal flaw"
in the design is triggered if simple modifications to the cover design are not
adequate, and as a result a different conceptual design is required. This
feedback loop between impact assessment and cover design is crucial for
developing a cover system that is protective of the environment while not being
overly conservative.

Figure 1. Steps in cover system design.
The following sections discuss in more detail the various steps of cover
system design illustrated in Figure 1. The final section of this paper presents
a case study that will illustrate the practical application of this
methodology.
CONCEPTUAL COVER DESIGN
The first step of cover system design involves an assessment of the type of
cover most likely to be successful for the site-specific conditions (climate,
waste type, topography etc.). Four basic types of cover systems are generally
distinguished; although the materials utilised to construct these basic cover
system designs are site-specific:
- a water cover;
- a "conventional low hydraulic conductivity" cover;
- a capillary barrier cover; and
- a store-and-release cover.
In a water cover, the mine waste is submerged under water, typically by
flooding the tailings impoundment or relocating the tailings/waste rock to an
alternative storage basin (such as an open pit). The water cover significantly
reduces the potential for air to move into the tailings; hence providing
protection against future oxidation of the mine waste (e.g. Davé et al., 1997).
A water cover is oftentimes the "cover system of choice" in humid environments,
and in particular for tailings (MEND, 2001. However, there may be problems with
physical stability of the storage facility (many tailings dams were not designed
to be flooded), as well as seepage, water quality, and land use issues.
A conventional infiltration-limiting cover system typically consists of a low
hydraulic conductivity layer (clay or geosynthetic membrane), in combination
with a number of other layers. This type of cover system requires protective
soil layers to minimise deterioration of the low hydraulic conductivity layer
due to desiccation, frost action, erosion, animal burrowing and/or plant rooting
(Caldwell and Reith, 1993). Typically, a complex cover system of several layers
and considerable depth (4 to 5 feet thick) results. If the low hydraulic
conductivity layer must also serve as an oxygen barrier then additional
constraints apply, e.g. clay layers must remain tension-saturated (e.g. Morris
and Stormont, 1997).
A capillary barrier effect is created when a fine-textured material layer is
placed over of a coarse-textured material layer. The capillary barrier is
created when the underlying coarse material is drained (i.e. is unsaturated),
thus possessing a hydraulic conductivity much lower that that of the overlying
fine-textured material. The result is a low hydraulic conductivity layer that
prevents downward movement of soil moisture from the upper fine-textured layer.
This phenomenon ceases when the fine-textured material layer is close to full
saturation and the negative pore-water condition at the interface of the two
materials is less than the negative pore-water condition at which the hydraulic
conductivity function of the two materials cross. In many cases this condition
is generally near zero pressure due to the coarse-textured nature of the
underlying material. At this point, the net percolation to the underlying waste
will be a function of the saturated hydraulic conductivity of the fine-textured
material, which in general is at least one-order of magnitude greater than
"typical" compacted barrier layer materials. The capillary barrier cover system
significantly reduces net percolation into the underlying mine waste as long as
the entire cover profile remains unsaturated (e.g. Aubertin et al., 1997).
However, it does not prevent the ingress of oxygen to the underlying waste
unless provisions are made to maintain the soil moisture content of the
overlying fine-textured layer near saturation.
A store-and-release cover (also referred to as a "water storage cover", or an
"evapotranspiration cover") consists of one or several layers, which are
designed to maximise root penetration and soil moisture storage (O'Kane et al.,
2000; Wels et al., 2002). This type of cover relies on the moisture retention
and storage characteristics of the cover material to "store" infiltration for
subsequent removal by evapotranspiration. The storage cover has to be designed
in such a way that all incoming infiltration during the dormant season can be
stored within the root zone. Note that the root zone is not limited to the cover
layer but may extend into the upper layers of the mine waste. In this case, the
cover material would primarily serve as a medium for initiating plant growth and
to avoid wind and water erosion of the underlying waste material.
It is important to recognise that the selection of a cover system design is
site-specific. A cover system that functions as designed at one site may not
perform well at another site. Key variables that need to be evaluated during
this initial selection process include climate (in particular evaporation and
precipitation), type and volume of mine waste, size and geometry of the waste
storage facility, and available cover materials. Initial back-of-the-envelope
calculations may suffice to rule out one or several of the cover types. The
remaining cover system design option(s) may be carried forward into the next
phase for detailed cover system design analysis. The different cover options
that are carried through the entire cover system design process (Figure 1) depend on the outcome of the initial
assessment and the regulatory framework. If only one option is carried forward
(usually the one deemed most cost-effective based on the initial analysis and
engineering judgment), and the compliance/risk assessment indicates a fatal
flaw, then another cover option must be selected and carried through the entire
cover design process (Figure 1).
DETAILED COVER DESIGN ANALYSIS
During the detailed cover design phase numerical analyses are carried out to
develop quantitative relationships between cover system properties (material
type and sequence, cover thickness, slope angle, vegetation density/mix, etc.)
and cover performance criteria (e.g. net percolation, oxygen ingress, erosion,
sustainable vegetation).
These qualitative relationships are generally developed by constructing
numerical models, which simulate cover performance (e.g. an
unsaturated/saturated flow model to simulate net percolation through a cover).
The cover system properties are then systematically varied within a plausible
range and the corresponding cover performance is computed. The scope and extent
of such sensitivity analyses will depend on the complexity of the cover design,
the range of materials and material properties available for cover construction,
and site-specific climatic conditions.
Figure 2 is a conceptual "tornado" sensitivity plot, which illustrates the
change in net percolation for a compacted barrier layer cover system as a
function of cover thickness, vegetation (root zone depth and transpiration
rate), potential evaporation rate (on the basis of which pan coefficient is used
to reduce pan evaporation data), and cover material hydraulic conductivity. A
"base case" simulation is used that represents the "most reasonable" input
parameters, and then additional simulations are completed by varying the input
parameters. The parameters to be varied and the extent to which each is varied
is based on the physical laboratory test results and the potential changes to
in-situ conditions and material properties due to biological, physical, and
chemical factors.
Figure 2. Sensitivity of net percolation for
a compacted barrier layer cover system to cover thickness, vegetation, potential
evaporation rate, and cover material hydraulic conductivity.
The tornado sensitivity plot allows for the determination of the key
parameters controlling performance of the cover system, which for the case shown
in Figure 2 would be the thickness of the growth medium, the hydraulic
conductivity of the compacted layer, vegetation parameters, and potential
evaporation. In addition, specific scatter plots relating one cover design
parameter to one cover performance criterion may also be developed. For example,
predicted net percolation can be plotted as a function of the saturated
hydraulic conductivity of the compacted layer.
The cover performance criteria for which a sensitivity analysis is usually
performed include net percolation, but also surface runoff, sediment loss,
oxygen ingress, vegetation density, vegetation diversity, or some other
site-specific criteria. Additional site-specific cover design parameters to be
evaluated may include slope angle, slope length, level of compaction effort,
compaction molding water content, percentage bentonite added to ameliorate a
layer of the cover system etc. The quantitative relationships between cover
design parameters and cover performance criteria provide a framework for
evaluating the range of environmental impacts for different cover scenarios, and
ultimately, to select the most cost-effective cover design (see below).
An important aspect in cover performance modelling is the selection of a
relevant time frame and environmental conditions for simulating cover
performance. Those conditions should be selected with a view towards potential
environmental impacts. For example, if acute toxicity to fish is likely to be
the dominant environmental impact, then the determination of cover performance
under extreme conditions (e.g. the "wettest year" or the "driest year") may be
required. However, if groundwater quality standards and/or bioaccumulation of
metals in fish or are the key environmental impacts, then the determination of a
long-term "average" performance of the cover system would be more
appropriate.
In this context, it should be pointed out, that the net percolation predicted
from the mean or median rainfall record for a given site may not be
representative of the long-term "average" performance of a cover system. The
long-term "average" performance of a cover system should be determined from a
statistical analysis of the net percolation predicted for each year of the
climate record. The latter methodology accounts for the impact of antecedent
moisture conditions, as well as the occurrence and intensity of daily rainfall
when determining the long-term "average" net percolation.
IMPACT ANALYSIS
The impact analysis quantifies the relationship between cover performance
criteria and environmental impacts. The specific environmental impacts to be
evaluated depend on the objective(s) of the proposed cover system design and
local regulations. The environmental impacts most commonly evaluated during
cover system design include:
- Impacts on surface water quality;
- Impacts on groundwater quality;
- Impacts on air quality;
- Impacts on vegetation; and
- Impacts on wildlife.
The methodology presented in this paper requires the development of an
"impact matrix" prior to conducting any quantitative impact analysis, which
summarises the potential links between common cover performance criteria and
types of impact. Table 1 shows an example of an impact matrix for the
hypothetical case of a cover system design for an acid-generating uranium
tailings impoundment. The matrix differentiates between "strong" links (large
crosses) and "weak" links (small crosses). Clearly, the impact matrix will vary
from case to case. For example, the link between radon emissions and air quality
may be of critical importance in a cover system design for radioactive tailings
(e.g. Strachan and Raabe, 1998), whereas links between oxygen ingress and
surface and groundwater quality are often critical in cover system designs for
acid-generating mine wastes. The development of a qualitative impact matrix such
as the example shown in Table 1 provides the framework for developing a
quantitative impact analysis. It establishes the dominant links, which will need
to be evaluated in greater detail.
Specific indicators should be selected for each type of impact, in order to
quantify the "magnitude" of the impact. The selection of specific indicators is
often subjective and can significantly influence the outcome of the impact
analysis and ultimately the cover design. For example, water quality impacts to
a local stream may be evaluated using peak concentrations or long-term average
loads. Furthermore, concentrations (or loads) may be estimated only for one
selected contaminant or for a set of contaminants. An iterative process between
the impact analysis and the compliance / risk assessment (see below) may be
required to identify the impact indicator(s) most critical for the cover system
design (Figure 1).
Table 1. Impact matrix for hypothetical cover
design.
A numerical analysis should be carried out to quantify the relationship
between predicted impacts and cover system performance criteria once the impact
matrix has been developed and a set of impact indicators has been selected. The
type of numerical analysis required for this step can vary greatly from simple
empirical and analytical models to more complex numerical models. Examples of
commonly used models for impact analysis include:
- Runoff and erosion models to estimate soil loss and surface water quality
impacts (e.g. Flanagan and Livingston, 1995; Willgoose and Riley, 1993);
- Geochemical speciation and reaction models to evaluate geochemical
controls in mine waste and along the flow path (e.g. Wels et al, 2000; Mayer
et al., 2000);
- Airflow & ARD production models to assess ARD production in waste
storage facilities (e.g. Lefebvre et al., 2001; Wels et al., these
proceedings);
- Groundwater flow and transport models to assess the fate of contaminants
in a receiving aquifer or near-by stream fed by groundwater (e.g. Wels et al.,
2000; Uwiera and Reeves, 2000); and
- Ecological models to assess plant community development and wildlife
impacts (e.g. McLendon et al., 2002).
The main objective of the impact analysis is to quantify the relationship
between cover system performance criteria and environmental impacts. To
illustrate the process, consider the hypothetical case of a cover system design
for an acid-generating waste rock pile. For this hypothetical case, surface
water quality is identified as the key environmental impact and peak dissolved
metal concentration (e.g. Al) is selected as the impact indicator (e.g. to
assess acute toxicity to fish in the stream). Figure 3 shows the types of
relationships between surface water quality (dissolved Al) and selected cover
system performance criteria that may be obtained for this scenario using impact
analysis.
Figure 3. Relationship between surface water
quality (dissolved Al) and selected cover system performance criteria that may
be obtained using impact analysis.
Oxygen ingress and net percolation are typically the two most important cover
system performance criteria influencing surface water quality for acid
generating waste rock. The rate of oxygen ingress (through the cover) controls
the long-term rate of oxidation of the acid-generating waste, and therefore
often the source strength of any seepage leaving the waste storage facility. Net
percolation (or "cover flux") determines the rate (volumetric flow) of seepage
leaving the waste storage facility. A quantification of the impacts of those two
cover system performance criteria on surface water quality requires an
integrated analysis of the geochemical reactions and the flow and transport
processes occurring in the waste and along the flow path. A case study of such
an integrated impact analysis, using a geochemical model, a seepage model as
well as a groundwater flow and transport model, is provided in the final section
of this paper. Soil loss and vegetation density also have an impact on surface
water quality, albeit typically of lower magnitude than net percolation and
oxygen ingress.
Soil loss (due to erosion of the cover material) can result in elevated
levels of suspended sediments in near-by surface waters. However, this may not
result in a significant increase in dissolved metal concentrations unless
erosion and soil loss is so severe that the mine waste itself is eroded. Soil
loss, however, may also influence the long-term performance of the cover system.
For example, significant erosion of cover material over time can potentially
increase net percolation (and/or oxygen ingress), thus negatively impacting on
surface water quality. Vegetation density (on the cover surface) may also have
an indirect (positive) impact on surface water quality by reducing erosion
and/or net percolation.
The above example illustrates in a relatively simplistic manner the
interdependence of the various cover system performance criteria and how they
interact to impact on the environment. This interdependence complicates the
impact analysis because numerous sensitivity analyses must be completed. For
example, the impact of net percolation on surface water quality (shown in Figure 3) strictly speaking applies only to one
scenario where all other criteria (oxygen ingress, soil loss, vegetation
density) are held constant. This complexity is a deterrent for a rigorous impact
analysis and often leads to the analysis of only a few selected "cover
scenarios" where all cover system performance criteria are assumed to be known
and set constant. However, in our opinion, this practice should be discouraged
because it may not lead to the most cost-effective cover design. In many cases,
sensitivity analyses required for the development of "type curves" (such as
those shown in Figure 3) represent only a
small fraction of the overall cost of impact analysis. Yet such type curves may
assist the engineer in optimising the cover system design in such a way that
cover system construction and liability costs are significantly reduced,
resulting in an overall reduction in the project costs.
COMPLIANCE AND/OR RISK ASSESSMENT
The next step in the process of cover design entails a comparison of
predicted impacts against applicable environmental standards (Figure 1). The nature and extent of this
assessment can vary significantly depending on the complexity of the site and
the regulatory framework. At a minimum, the predicted impacts must be compared
against numerical standards (e.g. maximum concentration in groundwater or an
annual load into a stream). The use of numerical guidelines for regulating
mining activities (including design for closure) is still common practice in
many parts of the United States (e.g. the use of state standards for evaluating
impact to surface water and groundwater). Such an assessment of compliance is
relatively straightforward. However, this approach has been subject to
increasing criticism because numerical guidelines ("standards") often do not
adequately address site-specific conditions (e.g. increased mineralisation in a
mining district). In addition, the use of fixed numerical standards such as
metal concentrations in streams or groundwater invariably requires the
determination of a compliance point, (i.e. the location at which such a
determination is made). Yet, the selection of a compliance point is often
somewhat arbitrary (e.g. the property boundary) and may not be linked to an
environmental impact.
In recent years risk assessment has become increasingly popular as an
alternative method for assessing environmental impacts at mine sites (e.g.
Linkov, et al., 2002). The mining impacts such as contaminant levels in
groundwater or streams are evaluated during a risk assessment in terms of risk
to biological receptors (e.g. USEPA, 1997). It is common to distinguish between
human health risk assessment (HHRA) and an ecological risk assessment (ERA),
depending on whether the receptors are humans or other organisms such as fish,
invertebrates, etc. A range of site-specific conditions is also taken into
account during the risk assessment (e.g. land use, aquatic communities,
background water quality, etc.) in order to determine the human or ecological
risk caused by the environmental stress. This approach yields site-specific
"threshold" or "trigger" values to be used for decision-making (e.g. cover
design). Such an approach is preferable over the use of fixed numerical
standards because it recognises the special conditions often encountered at mine
sites (e.g. natural mineralisation). The problem of fixed numerical standards is
now widely recognised and many countries are now moving towards risk-based
compliance criteria (e.g. ANZECC, 2000).
FINAL DESIGN
The results of compliance or risk analysis are used to finalise the cover
design (Figure 1). If a detailed impact
analysis has been completed with a series of type curves (as shown in Figure 3), then the applicable standard (from
numerical guidelines) or "trigger" values (from a risk analysis) can be used to
determine the required cover system performance criteria. In reviewing the
results of the detailed cover design analysis (Figure 2), the detailed specifications of the cover system can be
selected, which meet all applicable standards (fixed or risk-based). If the
impact analysis was only carried out for selected cover scenarios, then any of
the cover scenarios, which are shown to meet the standard(s) or score below the
trigger value(s) could be used for the final design.
If the assessment indicates that none of the proposed cover system designs
are likely to result in compliance or acceptable risk, the proposed cover design
must be modified and the assessment process must be repeated (Figure 1). If the required modifications to the
cover design are deemed too expensive or not achievable then this would
constitute a "fatal flaw" and the conceptual cover system design must be
re-evaluated.
The use of the proposed cover design methodology (Figure 1) relies heavily on numerical modelling, which is subject
to a certain level of uncertainty. It is therefore good practice to perform
field trials, in which the performance of selected cover options can be
monitored under actual field conditions (Ayres et al., 2002; Wels et al., 2002;
and O'Kane and Waters, these proceedings). The results of field trials can then
be used to further optimise the final design (Figure 1).
CASE STUDY
A case study of a cover design for an acid-generating waste rock storage
facility is presented to illustrate the methodology discussed above and shown in
Figure 1. The site is located in a
sub-tropical monsoon climate. Mean annual rainfall is approximately 1450 mm with
about 90% occurring during the five month wet season. Annual potential
evaporation at this site is approximately 2500 mm.
At closure of the mine, a detailed site characterisation was carried out to
identify existing mining impacts and to provide a basis for the development of a
closure plan. It was determined that the local aquifer system had been
significantly impacted by acid rock drainage (ARD) from the tailings storage
facilities and a waste rock pile. The closure plan called for relocation of the
tailings into the open pit (under water) to prevent future oxidation and ARD
from this source. The waste rock storage facility, the only remaining potential
long-term source of ARD, was to be reclaimed in-situ using a dry cover.
Approximately twenty-five to thirty percent of the primary rock in the waste
storage facility either contains high sulphide material, or has been impacted by
acidic drainage resulting from the presence of the sulphide material. Localised
acidic seeps, as well as circum-neutral seeps with elevated metal
concentrations, are emanating from the waste storage facility. The primary
objective of the cover design was to reduce the future contaminant load from
this waste rock pile to "acceptable" levels.
At this site, a detailed impact analysis was required to determine what would
constitute an "acceptable" level of control. A "very high quality" cover,
typically required to maintain "pristine" groundwater conditions, was not
necessarily required for this site, because of the significant existing impacts
to the local groundwater system (groundwater was not suitable for human
consumption). Instead, the cover was to be designed in such a way that it would
protect the ecology of a near-by stream.
Conceptual Cover Design
The conceptual cover system design for the waste rock storage facility is a
dry cover system. The conceptual design takes advantage of the high potential
evaporation conditions at the site, as well as the good quality cover materials
available near the waste rock storage facility. In general, the conceptual cover
system design includes a layer of compacted clay placed directly on the waste
rock surface prepared to the desired landform, overlain with a growth medium
layer. Conceptually, the compacted clay layer represents a barrier layer to
control net percolation during extreme rainfall conditions, while also
maintaining tension-saturated conditions to control oxygen diffusion. The
overlying growth medium serves three purposes (i) prevent desiccation of the
clay layer; (ii) additional control of net percolation by serving as a moisture
store and release cover layer and (iii) a growth medium for revegetation.
Initial borrow investigations had identified two types of fine-grained
materials for use as potential cover material: (i) "stable" clays and (ii)
"active" clays. The "stable" clay features superior geotechnical properties
(less potential for swelling, shrinkage, and potential for chemical alteration
of the clay crystal structure) whereas the "active" clay features superior
hydraulic properties (higher moisture retention capacity and lower hydraulic
conductivity).
Detailed numerical modelling was carried out to evaluate both the
geotechnical and hydraulic performance of the proposed conceptual cover. For the
purposes of the paper and this case study, only the results of the hydraulic
modelling and their implications in terms of environmental impact to a near-by
stream are presented.
Detailed Cover Design Analysis
Detailed soil-atmosphere cover design modelling was completed using the
site-specific climate data, as well as material properties and conditions
determined in the field and laboratory. The main focus of the soil-atmosphere
modelling was to determine net percolation and oxygen ingress as a function of
clay type and thickness of the growth medium.
Figure 4 shows the predicted annual net percolation assuming either a
compacted layer of "stable" clay (50 cm), or a compacted layer of "active" clay
(50 cm) for a range of return periods. In either scenario, a 2m thick growth
medium of stable clay was assumed to overly the compacted layer to prevent
desiccation. Figure 4 illustrates the significant difference in predicted
performance as a result of using either the active clay or the stable clay for
the compacted layer of the cover system. For example, for a return period of two
years, the predicted net percolation (infiltration through the cover) is
approximately 15 mm and 300 mm for the active clay and stable clay cover
systems, respectively. These net percolation rates represent 1% and 20% of mean
annual rainfall (MAR), respectively.
Figure 4. Predicted annual net percolation
assuming either a compacted layer of "stable" clay (50 cm), or a compacted layer
of "active" clay (50 cm) for a range of return periods.
Note that the predicted rates of net percolation increase significantly for
greater return periods, regardless of which clay type is chosen. These results
illustrate the variability in cover performance due to the climatic conditions,
which vary from year to year. For this case study, long-term average rates of
net percolation were considered more relevant than those for extreme conditions
(e.g. 1:100 wet year) because any year-to-year variations in waste rock seepage
and contaminant load would be "buffered" in the groundwater system before it
reaches the local stream. Hence, additional cover design analyses focussed on
the "average" cover performance, which represents the average predicted
performance utilizing 50 years of climate data.
Figure 5 shows the average net percolation (expressed as percentage of MAR)
as a function of the thickness of the overlying growth medium (non-compacted
stable clay) assuming that either the stable clay or the active clay is utilised
for the compacted layer. In both scenarios, the predicted average rate of net
percolation decreases with an increase in the thickness of the growth medium.
This decrease in net percolation is due to the fact that a thicker growth medium
has a higher storage capacity and is better able to protect the underlying
compacted clay layer from wetting-drying cycles. Such wetting-drying cycles are
known to increase the effective hydraulic conductivity of the compacted clay
layer over time, thus increasing net percolation.
Figure 5. Average net percolation as a function of the
thickness of the overlying growth medium (non-compacted stable clay) for a
stable clay or active clay compacted layer.
Figure 6 shows the predicted annual ingress ("mass flux") of oxygen as a
function of the thickness of the growth medium for the case of a compacted
active clay layer cover system. The model predicts an exponential decrease in
oxygen ingress with an increase in growth medium thickness. The oxygen ingress
is primarily controlled by the degree of saturation of the compacted clay layer.
A thicker growth medium reduces the amount of drying in the compacted layer,
thus reducing the annual oxygen ingress.
The increase in oxygen, leads to further oxidation of the underlying
sulphidic material, thus potentially increasing the contaminant load emanating
from the waste rock pile via seepage.
Figure 6. Predicted annual ingress ("mass
flux") of oxygen as a function of the thickness of the growth medium for the
case of a compacted active clay layer cover system.
Impact Analysis
An initial review of site conditions indicated that zinc would be the key
contaminant of concern at this site for the following reasons: (i) zinc occurs
in highly elevated concentrations in waste rock seepage (up to 400 mg/L); (ii)
zinc is relatively mobile in the circum-neutral groundwater; and (iii) zinc is
potentially toxic to aquatic organisms (ANZECC, 2000).
The nearest (ephemeral) stream of ecological significance that might be
impacted by waste rock seepage is located approximately 1000 m down gradient of
the waste rock storage facility. For the purpose of this impact analysis it was
assumed that zinc could only reach the stream via groundwater flow. Hence, the
impact analysis focused on the prediction of zinc concentrations reaching the
stream via groundwater flow. The impact analysis employed geochemical models, a
seepage model, as well as a groundwater flow and transport model to predict the
timing and magnitude of zinc concentrations discharging into the creek for
different cover scenarios.
A detailed assessment of the geochemistry of the waste rock material was
carried out including geochemical testing and modelling. It was concluded that,
even though a significant amount of carbonate material (and therefore
neutralisation capacity) exists in the waste rock, localised areas of
significant ARD potential exist. The current composition of pore water in the
WRD was estimated to be slightly acidic (pH ~6.6) with elevated sulphate (4000
mg/l) and average zinc concentrations of about 10 mg/l.
Static acid-base accounting test results further indicated that as much as 25
to 30% of the waste rock dump could potentially become acid generating, provided
oxygen entry would not be limited in the future. Geochemical modelling suggested
this increased rate of oxidation would reduce the pH in pore-water to about 5.8,
with a commensurate increase in zinc of up to 100 mg/l (i.e. a concentration ten
times higher than predicted for current conditions).
The detailed cover design analysis had suggested that the proposed low
hydraulic conductivity cover (using 2 m of growth medium and a compacted, active
clay layer) would reduce oxygen ingress by about 99%, thus representing an
effective oxygen barrier (Figure 6). In other words, the rate of sulphide
oxidation within the WRD may significantly decrease after cover placement
compared to current conditions. Note, however, that a reduction in the rate of
oxidation may not result in a significant improvement in pore water quality for
a very long time. Reactive seepage modelling carried out for the waste rock pile
indicated, that the volume of pore-water (with poor water quality) currently
stored in the WRD is significant relative to the amount of (clean) rain water
entering the WRD through a low hydraulic conductivity cover system. The
modelling results suggested that it would take many decades to "flush" all
contaminants currently present within the pore-water of the waste rock storage
facility, even if no further release of contaminants (due to oxidation,
desorption and/or dissolution reactions) occurred.
Based on these analyses, a total of four cover scenarios with differing
seepage rates, initial (current) zinc concentrations and "future" zinc
concentrations were selected for further impact analysis (see Table 2). The scenarios included (compare Figure 5):
- Scenario One: waste rock storage facility removed (no cover required);
- Scenario Two: a "high quality" cover (e.g. 2 m growth medium over 0.5m
compacted, active clay);
- Scenario Three: a "lower quality" cover (e.g. 1 m growth medium over 0.5m
compacted, active clay);
- Scenario Four: a "low quality" cover (e.g. 1 m growth medium over 0.5m
compacted, stable clay)
Scenario 1 was not a realistic option but was included for reference purposes
only.
A groundwater flow and solute transport model was developed for the site to
predict the timing and magnitude of peak zinc concentrations in shallow
groundwater discharging to the nearest stream. The groundwater flow model was
calibrated using groundwater level and stream flow monitoring data. The model
input parameters for zinc transport (porosity and dispersivity of the aquifer
and retardation factor for zinc) were developed based on (limited) field
observations.
Figure 7 shows the predicted zinc concentrations in the shallow groundwater
for the four scenarios in vicinity of the stream. The predicted times for a
"breakthrough" of peak zinc concentrations at the stream range from ~150 years
for Scenario One, to ~400 years for Scenario Four. Note that even in Scenario
One (waste rock storage facility removed) zinc concentrations are predicted to
increase slightly before finally declining due to "flushing" of zinc currently
stored in the local aquifer system.
Figure 7. Predicted zinc concentrations in shallow
groundwater for four cover scenarios.
Table 2. Cover Scenarios evaluated during Impact
Analysis.
As expected, the highest zinc concentrations in groundwater discharging to
the stream were predicted for Scenario Four, which represents the scenario with
the highest zinc load from the waste rock dump to the aquifer system. Note that
the predicted peak zinc concentrations in shallow groundwater discharging into
the stream are similar for Scenarios One and Two (Figure 7), implying that the
zinc load released from a high quality cover is small relative to the zinc
currently stored in the aquifer system.
Compliance and Risk Assessment
The predicted zinc concentrations in the stream base flow for all four
scenarios are well above the applicable "low-risk" trigger value of zinc (0.008
mg/L for protection of 95% of species; ANZECC, 2000). Hence, a biological study
was initiated to evaluate the chronic and acute toxicity of local aquatic
organisms to zinc. This study is currently still in progress. Once completed,
this study will provide a framework for selecting the appropriate cover scenario
required to protect the aquatic ecosystem at this site.
SUMMARY
The methodology put forth in this paper calls for developing site-specific
performance criteria for a cover system designed to isolate acid-forming mine
waste and to control acid rock drainage. The methodology allows for
determination of the appropriate level of control (of oxygen ingress and/or net
percolation) required by the cover system by linking the predicted performance
of a cover system to groundwater and surface water impacts. A case study has
been presented to illustrate this approach.
The methodology presented in this paper (Figure 1) advocates the use of a series of steps including,
conceptual cover design, detailed cover design, impact analyses, compliance/risk
assessment prior to final design and field trials. The detail and depth to which
those analyses are carried forward depends on the site-specific conditions and
the regulatory framework. Ideally, detailed sensitivity analyses should be
carried out for a range of cover options (both during the phase of cover design
and impact analysis) to determine the most cost-effective cover design. If this
is not feasible, an impact and compliance/risk analysis should at least be
carried out for one (or several) selected cover scenarios.
The cover design process traditionally proceeds from top to bottom as shown
in Figure 1. However, cover design does not
necessarily have to proceed in this order. In fact, there may be advantages to
perform an impact analysis and/or a compliance/risk assessment before any
detailed cover design analysis has been carried out. In this "top-down" approach
an overall framework for cover design is developed that may bring focus to the
detailed cover design analysis.
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December 2002
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