L Mark Hewitt1, James W Roy1, Steve J Rowland2, Greg Bickerton1, Amila DeSilva1, John V Headley3, Craig B Milestone4, Alan G Scarlett2, Susan Brown1, Christine Spencer1, Charles E West2, Kerry M Peru3, Lee Grapentine1, Jason M E Ahad5, Hooshang Pakdel6, Richard A Frank1. 1. Water Science and Technology Directorate , Environment and Climate Change Canada , 867 Lakeshore Road , Burlington , ON Canada , L7R 4A6. 2. Petroleum and Environmental Geochemistry Group, Biogeochemistry Research Centre , University of Plymouth , Drake Circus, 5 , Plymouth PL4 8AA , U.K. 3. Water Science and Technology Directorate , Environment and Climate Change Canada , 11 Innovation Boulevard , Saskatoon , SK Canada , S7N3H5. 4. School of Chemical and Environmental Sciences , Davis Campus, Sheridan College , 7899 McLaughlin Road , Brampton , ON Canada , L6Y 5H9. 5. Geological Survey of Canada , Natural Resources Canada , Québec , QC Canada , G1K 9A9. 6. INRS - Eau Terre Environnement , Québec , QC Canada , G1K 9A9.
Abstract
The objective of this study was to advance analytical methods for detecting oil sands process-affected water (OSPW) seepage from mining containments and discriminating any such seepage from the natural bitumen background in groundwaters influenced by the Alberta McMurray formation. Improved sampling methods and quantitative analyses of two groups of monoaromatic acids were employed to analyze OSPW and bitumen-affected natural background groundwaters for source discrimination. Both groups of monoaromatic acids showed significant enrichment in OSPW, while ratios of O2/O4 containing heteroatomic ion classes of acid extractable organics (AEOs) did not exhibit diagnostic differences. Evaluating the monoaromatic acids to track a known plume of OSPW-affected groundwater confirmed their diagnostic abilities. A secondary objective was to assess anthropogenically derived artificial sweeteners and per- and polyfluoroalkyl substances (PFAS) as potential tracers for OSPW. Despite the discovery of acesulfame and PFAS in most OSPW samples, trace levels in groundwaters influenced by general anthropogenic activities preclude them as individual robust tracers. However, their inclusion with the other metrics employed in this study served to augment the tiered, weight of evidence methodology developed. This methodology was then used to confirm earlier findings of OSPW migrations into groundwater reaching the Athabasca River system adjacent to the reclaimed pond at Tar Island Dyke.
The objective of this study was to advance analytical methods for detecting oil sands process-affected water (OSPW) seepage from mining containments and discriminating any such seepage from the natural bitumen background in groundwaters influenced by the Alberta McMurray formation. Improved sampling methods and quantitative analyses of two groups of monoaromatic acids were employed to analyze OSPW and bitumen-affected natural background groundwaters for source discrimination. Both groups of monoaromatic acids showed significant enrichment in OSPW, while ratios of O2/O4 containing heteroatomic ion classes of acid extractable organics (AEOs) did not exhibit diagnostic differences. Evaluating the monoaromatic acids to track a known plume of OSPW-affected groundwater confirmed their diagnostic abilities. A secondary objective was to assess anthropogenically derived artificial sweeteners and per- and polyfluoroalkyl substances (PFAS) as potential tracers for OSPW. Despite the discovery of acesulfame and PFAS in most OSPW samples, trace levels in groundwaters influenced by general anthropogenic activities preclude them as individual robust tracers. However, their inclusion with the other metrics employed in this study served to augment the tiered, weight of evidence methodology developed. This methodology was then used to confirm earlier findings of OSPW migrations into groundwater reaching the Athabasca River system adjacent to the reclaimed pond at Tar Island Dyke.
The
Alberta oil sands deposit in Canada is the third-largest proven
oil reserve in the world, comprising 142000 km2[1,2]. Mined oil sands undergo a caustic hot water extraction process
to separate bitumen from the sand. The byproduct of this extraction,
known as oil sands process-affected water (OSPW), is a complex mixture
of dissolved inorganic and organic compounds. The organics fraction
includes naphthenic acids (NAs) for which the aquatic toxicity has
been well documented,[3−9] although the chemical classes causing toxicity within the greater
group of acid extractable organics (AEOs) have yet to be established.To date, the oil sands industry has not treated and released OSPW
and has operated under a zero-discharge practice with accumulated
OSPW stored in large containments (tailings ponds), comprising a total
area of >130 km2.[10] Despite
containment infrastructures (interceptor wells, ditches, and relief
wells), designed to capture and return seepage to the ponds,[11] the question remains as to whether OSPW-affected
groundwaters migrate beyond such containments,[12−14] reach surface
waters,[15−21] and cause adverse effects. Seepage into groundwater from containments
adjacent to the Athabasca River or its tributaries are of concern
because if seepage is pronounced, there is potential for aquatic life
exposures to OSPW-derived toxic substances.In the case of the
Mildred Lake Settling Basin (MLSB) containment,
an OSPW-affected groundwater plume has been distinguishable from ambient
local groundwater by elevated concentrations of routinely measured
parameters, including salts or NAs.[13] However,
the detection of potential seepage at other ponds is hindered by several
factors. First, inorganic and organic OSPW compositions closely resemble
those in natural bitumen-affected groundwater within the McMurray
geological formation.[16,20,21] Further, as the caustic aqueous extraction of bitumen does not require
the addition of industrial additives, potential tracers of OSPW migration
are not readily available. Finally, despite recent discoveries of
adamantane,[22,23] bicyclic NAs,[24,25] and alicyclic, aromatic, and sulfur-containing acids[23,26] in OSPW, there are few commercially available authentic standards
of OSPW constituents, hampering efforts to develop and standardize
analytical methodologies for NAs and seepage detection.In previous
attempts to identify OSPW-affected groundwater, a wide
range of chemical metrics has been applied. These have included: measurement
of total NAs, arsenic, boron, fluoride, molybdenum, selenium, vanadium,
nickel, rhenium, ammonium, sodium, and chloride and their ratios,
characterization of water types (Piper plots), use of synchronous
fluorescence spectroscopy (SFS) to determine aromatic species, monitoring
of a variety of isotopic tracers from 2H and 18O of water to dissolved ions and to measurement of intramolecular
δ13C signatures, determination of the ratios of O2/O4 heteroatom classes, and the presence of SO containing species in OSPW.[13,17,18,20,27−38] Since 2005, with advances in available analytical instrumentation
and an improved understanding of the organic compositions of OSPW,[22,24−26,39,40] studies on NAs as tracers of OSPW migration have expanded to include
the broader class of AEOs and have progressed from standard gas chromatography–mass
spectrometry (GC-MS) methodologies[18] to
deployment of state of the art instrumentation, including high performance
liquid chromatography-time-of-flight mass spectrometry (HPLC-ToF-MS[19]), HPLC-high resolution mass spectrometry (HPLC-HRMS[21]), comprehensive multidimensional GC-MS (GC ×
GC-MS[16,41]), and Fourier transform-ion-cyclotron-resonance
mass spectrometry (FT-ICR-MS[29,34,35,42]). It is important to note that
although the ability to characterize bitumen influence has evolved
through these studies, the differentiation of OSPW-affected groundwaters
from natural bitumen sources has not been achieved. The analytical
challenge in source discrimination of these inherently similar, so-called
“supercomplex”[43] mixtures,
is considerable.The only study to assert some success in this
endeavor was that
of Frank et al.[16] that applied a tiered,
weight of evidence approach that included routine analytical methods
(Level-1) and two advanced methods for profiling AEOs (Level-2) to
directly compare each source. One Level-2 method used GC × GC-TOF-MS
to identify two groups of monoaromatic naphthenic acids (denoted “Family
A and B”) shown to be elevated in OSPW and OSPW-influenced
groundwater. The other Level-2 method used high resolution mass spectrometry
(HRMS) profiling of AEOs to associate OSPW influence with a greater
proportion of O2 heteroatom ion classes relative to O4 species, although subsequent studies have shown conflicting
evidence regarding such ratios to differentiate source.[21,34,35] Both Level-2 methods demonstrated
source differences for two samples of shallow groundwater collected
adjacent to Tar Island Dyke (TID) at the edge of the Athabasca River,
which the authors concluded were likely influenced by OSPW.[16] While this study showed promise in differentiating
groundwaters affected by OSPW from those influenced by natural bitumen
sources, limitations included the extent of sampling within each source
type and the qualitative capability of the Level-2 analyses.The primary objective of the present study was to explore further
the utility of the Family A and B groups of monoaromatic acids, and
ratios of O2/O4 classes, to distinguish OSPW-affected
groundwater from ambient groundwater influenced by the natural bitumen
deposits of the McMurray Formation. This was accomplished through
sampling and analysis improvements that included the (i) use of larger
sample volumes (>1000 fold) to facilitate the greatest possible
level
of detection; (ii) quantitation of the Family A and B acids; (iii)
use of a larger set of OSPW (2 different mining operations per parameter);
(iv) use of a larger set of natural “background” groundwaters
from the area where the McMurray formation outcrops, including several
that were fairly saline; and (iv) validation of the combined methodology
against a known plume of OSPW-affected groundwater.[13]A secondary objective was to assess whether anthropogenic
artificial
sweeteners and per-and polyfluoroalkyl substances (PFAS) have diagnostic
capabilities as tracers of OSPW seepage. Both groups are hypothesized
to have some diagnostic capabilities due to their association with
anthropogenic activities, persistence and mobility in groundwater,
and utility in contaminant source apportionment.[44−48] The final objective was to reassess the presence
of OSPW-affected groundwater at select locations at the edge of the
Athabasca River adjacent to TID, as indicated by Frank et al.,[16] using the improved methodology.
Methods
Sample
Collections
Sample locations are presented in Figure and sampling details are summarized
in Table . OSPW samples
were collected with stainless dippers into precleaned stainless steel
containers fitted with Viton seals or glass bottles, with assistance
and access provided by the respective oil sands operators’
personnel. Shallow riparian groundwater samples were collected using
a stainless steel drive-point system[49] at
depths of 30–120 cm below the streambed of the Athabasca River
and associated tributaries (Figures S1–S3). The locations (e.g., edge of river, outside of meanders) and timing
(e.g., low river flow periods) of sampling were all chosen to best
ensure collection from groundwater discharge zones. Furthermore, the
drive point was pushed deeper prior to sampling if the water quality
parameters indicated a similarity to surface water, which might indicate
hyporheic exchange. Sampling included a repeat sampling of 3 background
sites (>1 km from any OSPW influence) and 3 sites adjacent to TID
(“unknowns”) initially sampled by Frank et al.[16] and was followed by collections from 13 additional
background sites. Finally, MLSB OSPW and groundwater from 6 sets of
nested wells (each with wells at 1–3 depths) along the MLSB
plume[13] were collected (Figures and 3). All groundwater sampling commenced following purging of the well
or mini-profiler system and equilibration of field-parameters (temperature,
electrical conductivity, pH, dissolved oxygen) measured with hand-held
meters. No surface water sampling was conducted.
Figure 1
Overview map of the study
area of the oil sands region north of
Fort McMurray, AB, Canada, showing sampling sites for OSPW (green
symbols), the MLSB plume (orange oval; individual well locations not
shown) and riparian groundwater (red dots) comprising Background (BG-1
to 13; DP-1 to 3) and Unknowns (DP-4 to 6) by Tar Island Dyke (TID).
Sample details are provided in Table .
Table 1
Sets of
samples collected for this study (locations
shown in Figure )a
Sample Groupings
Number of samples
Notes
OSPW
5 ponds sampled from
2 operators
1. Syncrude Mildred Lake Settling
Basin (MLSB); September 2010 & December 2013
2. Canadian Natural Resources Limited (CNRL); September 2011
3.
Syncrude West In-Pit (WIP); September 2011
4. Syncrude Southwest In-Pit (SWIP), August 2015
5. Syncrude Southwest Sand Storage (SWSS), September 2015
Background
Groundwater
16
13 new locations
(BG, within McMurray formation,
near surface) (August 2013)
Resampled Drive-points
(DP) 1–3 from Frank et al.[16] (September 2012)
MLSB plume (Figure 3)
12
In
Plume: 01A, 01B, 02B, 02C, 03B, 03C, 04B
Nonplume:
03A, 04A, 05B, 05C, 06A
All sampled December
2013
Unknowns by TID
3
Resampled DP 4–6 from
Frank
et al.[16] (September 2012)
Including oil sands process water
(OSPW) from several tailings ponds, shallow riparian groundwater (Background
and Unknowns by Tar Island Dyke), and groundwater from wells near
Mildred Lake Settling Basin (indicated as inside/outside the OSPW
plume[13]).
Figure 3
Schematic cross section
of the Mildred Lake Settling Basin (MLSB)
plume showing: base of constructed tailings dyke; ground surface elevation;
well and associated sample intake locations; water table location
measured in December 2013 and September 2004;[15] and contour of December 2013 data as defined by sodium concentration
(c.f.[15]). Note that plume contours and
inferred extent differed somewhat for the different chemical tracers
considered. Elevations in meters above sea level (masl). Modified
after.[15]
Overview map of the study
area of the oil sands region north of
Fort McMurray, AB, Canada, showing sampling sites for OSPW (green
symbols), the MLSB plume (orange oval; individual well locations not
shown) and riparian groundwater (red dots) comprising Background (BG-1
to 13; DP-1 to 3) and Unknowns (DP-4 to 6) by Tar Island Dyke (TID).
Sample details are provided in Table .Including oil sands process water
(OSPW) from several tailings ponds, shallow riparian groundwater (Background
and Unknowns by Tar Island Dyke), and groundwater from wells near
Mildred Lake Settling Basin (indicated as inside/outside the OSPW
plume[13]).Samples for standard geochemistry (i.e., ammonium,
major ions,
metals, alkalinity) and artificial sweeteners were collected in separate
bottles and preserved as described (Table S1). In addition, a large volume sample for Level-2 profiling, total
NAs, SFS, and PFAS analysis was collected in an 18 L stainless steel
collection vessel fitted with a Viton seal. All samples were refrigerated
on the day of collection, shipped at 4 °C to Burlington, ON within
1 week of collection, and stored at 4 °C. Subsampling and extraction
were conducted within 1 week of arrival.
Screening
(Level-1) Analyses
Level-1 analyses included geochemical
parameters comprising determination of anions (including chloride,
sulfate, and nitrate) analyzed by ion chromatography, major cations
(including sodium and calcium) analyzed by direct aspiration using
an inductively coupled argon plasma mass spectrometry, and ammonium
analyzed by spectrophotometry (absorbance of phenol-hypochlorite at
640 nm[16]). Alkalinity was determined by
titration method 2320.[50] Samples were analyzed
for a suite of trace metals at Environment and Climate Change Canada’s
National Laboratory for Environmental Testing (NLET) (Burlington,
ON) using inductively coupled plasma-sector field mass spectrometry
(SOP 2003). Level-1 analyses also included determination of total
AEO concentrations (referred to subsequently as NAs). Low resolution
ESI-MS analyses for total NAs were conducted with a Quattro Ultima
(Waters Corp., Milford, MA) triple quadrupole mass spectrometer equipped
with an ESI interface operating in negative-ion mode, as described
by Frank et al.[16] Additionally, expected
maxima in an SFS profile associated with previously identified mono-
and diaromatic acids[39] were analyzed as
described previously.[51] In this investigation,
samples that exhibited the characteristic bitumen profile with three
maxima with a signal intensity of 100 at 272 nm were identified as
positive for this profile.
Advanced
Separation and High-Resolution (Level-2) Analyses
Samples
were extracted for detailed profiling of acidic and neutral bitumen
organics by ESI-MS and ESI-HRMS. Quantitative determinations of monoaromatic
acid Family A (expanded to 8 isomers, using m/z 145) and B acids (2 isomers, using m/z 237, 310), as their methyl esters, were conducted by comprehensive
two-dimensional gas chromatography with time-of-flight mass spectrometry
(GC × GC-TOF-MS). For all OSPW samples, 2.0 L volumes were utilized
due to the elevated concentrations expected, whereas 15–18
L were used for all groundwaters. Prior to extraction, samples were
acidified to pH 2 with 12.0 M HCl, and extractions were conducted
using two 900 mL dichloromethane aliquots, each with 1 h thorough
mixing within sample collection vessels. Each extract was subsequently
evaporated to dryness under a stream of N2 and reconstituted
to an initial volume of either 1.0, 5.0, or 10.0 mL in dichloromethane,
depending on source. Aliquots (0.5–1.0 mL) were withdrawn and
methylated with freshly prepared diazomethane for GC × GC-TOF-MS
analysis of monoaromatic acids. The remaining extracts were then adjusted
to either 5.0 or 1.0 mL; a 500 μL aliquot was removed, solvent
exchanged into methanol, and split evenly for (i) ESI-MS analyses
of total NAs with profiling by ESI-HRMS and (ii) untargeted profiling
by LC-QToF.[52]Level-2 AEO profiling
of sample extracts using ESI-HRMS was performed on a LTQ Orbitrap
Elite mass spectrometer (Thermo Fisher Scientific, San Jose, CA) using
electrospray ionization in negative ion mode.[16] Class distributions were determined using acquired accurate mass
data and Composer version 1.0.2 (Sierra Analytics, Inc. Modesto, CA)
with an O2 mass error of 0.065 ppm.
GC ×
GC-TOF-MS Analysis of Monoaromatic Acids
Quantitative analysis
of the Family A and B monoaromatic acids[16] were conducted on methylated extracts using an Agilent 7890A GC
(Agilent Technologies, Wilmington, DE) fitted with a Zoex ZX2 GC ×
GC cryogenic modulator (Zoex Corporation, Houston, TX) interfaced
with an Almsco BenchTOFdx TOF-MS (Almsco International, Llantrisant,
Wales, UK). The primary column was a 60 m × 0.25 mm × 0.25
μm Rxi-1 ms (Restek, Bellefonte, U.S.A.), followed by a 1 m
× 0.1 mm deactivated fused silica modulation loop. The secondary
column was a 2.5 m × 0.1 mm × 0.1 μm BPX50 (SGE, Melbourne,
Australia). Samples (1 μL) were injected at 300 °C splitless
using a helium carrier at 1.0 mL/min. Oven programming was from 120
°C (5 min hold) to 250 °C at 15 °C/min, then to 340
°C at 2.5 °C/min, and held for 10 min. The hot jet was programmed
to track the primary oven at 100 °C above. The modulation period
was 3 s. The MS transfer line temperature was 300 °C and ion
source 275 °C. Data processing was conducted using GC Image v2.3
(Zoex, Houston, TX, U.S.A.) with the CLIC (Computer Language for Identifying
Chemicals) expression tool.[26,53]For this study,
quantitation of the Family A and B acids was calibrated on one isomer
isolated from an OSPW sample (WIP, sampled in 2009) using preparative
GC. Following a protocol used by Ahad et al.,[27] the OSPW extract was repeatedly injected into an Agilent 7890A GC
equipped with two 30 m × 0.5 mm i.d. DB-5MS columns (0.5 μm
film thickness) and a flame ionization detector (FID) coupled to a
Gerstel (Mülheim an der Ruhr, Germany) preparative fraction
collection (PFC) system. Approximately 5% of the eluent was directed
to the FID, with the remainder sent to the PFC. The isolated subfractions
were recombined and reinjected into the PFC several times to improve
purity. Subfractions were purified by silica gel and analyzed by GC-MS
to verify purities.
Anthropogenic
Chemicals Analyses
Artificial sweeteners (acesulfame, saccharin)
were analyzed with a Dionex 2500 ICS ion liquid chromatography system
combined with an Applied Biosystems AB Sciex Q Trap 5500 triple quad
mass spectrometer using an electrospray ionization source in negative
mode.[44]Per- and polyfluoroalky substances
were concentrated from aqueous samples using weak anion exchange solid
phase extraction (SPE) following previously published protocols,[54] and concentrations were adjusted for surrogate
recoveries (Tables S2–S4). While
the full suite of perfluoroalkylcarboxylates (four to 14 carbons)
and perlfuoroalkylsulfonates (C4, C6, C8, C10) were determined, we
focused on perfluorobutane sulfonate (PFBS), perfluorohexane sulfonate
(PFHxS), and perfluooroctane sulfonate (PFOS) to highlight sample
trends.
Statistical
Analysis
Mood’s median test was used to test equality
of the background and OSPW group medians, as a nonparametric alternative
to a one-way ANOVA or t test that is more robust
against outliers than a Kruskal–Wallis test.[55] Differences between background and OSPW group means were
tested for significance using t tests assuming unequal
group variances. To improve normality of the data and equality of
group variances, data were transformed by log(x+xmin) – log(xmin),
which is appropriate for data with zeros whose smallest positive value
is not close to 1.[55]To assess joint
variation among 32 samples from the 4 sample groups (Table ), Principal Components Analysis
(PCA) was conducted on a correlation matrix computed for 31 chemical
variables (Level-2 parameters and a select group of Level-1 parameters).
Data for all variables except O2/O4 ratio were
log-transformed to improve normality of distributions. Significance
of eigenvalues was determined by the broken-stick test.[55]
Results
and Discussion
Evaluation
of Previous Level-2 Metrics with OSPW vs Background Groundwater
The first step in advancing our previous methodology was to evaluate
the source discrimination ability of our previously proposed Level-2
metrics[16] against an expanded set of samples
from OSPW and natural groundwater sources. A comparison of background
sites and OSPW ponds, analyzed for the Family A and B acids and ratios
of heteroatomic ion classes (O2/O4), is presented
in Figure .
Figure 2
Box plots showing
mean and middle quartile (box) and range (whiskers)
for total Family A and B monoaromatic acid concentrations and HRMS
speciation ratios of O2- and O4-containing species compared between
OSPW (n = 4 Family A-B, n = 3 O2/O4) and background groundwater (BG-GW; n = 16) samples.
Box plots showing
mean and middle quartile (box) and range (whiskers)
for total Family A and B monoaromatic acid concentrations and HRMS
speciation ratios of O2- and O4-containing species compared between
OSPW (n = 4 Family A-B, n = 3 O2/O4) and background groundwater (BG-GW; n = 16) samples.Consistent with the qualitative data from Frank et al.,[16] the quantitative analyses of Family A and B
acids showed both are present naturally. Here, both groups showed
clear enrichment in OSPW (Family A, 148-fold; Family B, 38-fold based
on means), with no overlap in the ranges. Further, the results of
the Mood Median tests on untransformed data and t tests on transformed data (Table S5)
both indicated significant differences between the OSPW and background
samples for the sum of Family A isomers, sum of Family B isomers,
and all individual A and B isomers (8 and 2 isomers, respectively).
There was clearly less difference for Family B, as the lowest value
for OSPW was only 2.5-fold larger than the maximum of the background
groundwater samples; likewise the t test T-value
was of lower magnitude for Family B (8.3, compared to 15.4 for Family
A). When the individual components were considered, those showing
the greatest difference between OSPW and background groundwater (based
on the T-value; Table S5) were, in order,
isomers A5, A3, A1, A4, with some separation then to A2, A7, A6, A8,
and finally B1 and B2. Note also that isomers A5 and A3 were only
found above detection limits in two background samples (BG-3, BG-13),
whereas all other components were found in four or more background
samples (Table S6). The higher concentrations
of the Family A and B acids in OSPW are likely from the caustic bitumen
extraction and recycling of water (including evaporative enrichment[31]) that leads to a general enrichment of AEOs
as a class.In contrast, ratios of heteroatomic ion classes
containing O2/O4 species from OSPW and background
groundwater
overlapped, though the OSPW data set was shown to be significantly
higher than that of the background groundwaters with the Mood Median
Test and t test on transformed data. Both sets had
one or more values considered high (>1). While this may be related
to the differing bitumen contents within the set of background samples
(Figure S4), based on the extensive sampling
conducted in this study, the ratios of O2/O4 species do not clearly differentiate OSPW from background bitumen-affected
groundwater. This is consistent with Sun et al.[21] who reported high O2/O4 ratios for
OSPW (1.2 to 1.8) but also for far-field natural groundwater (A5w-GW;
ratio of 1.3). Similarly, Yi et al.[34] also
reported a wide range of O2/O4 ratios that overlapped
among sample types.Given these results, we next sought to evaluate
the ability of
the Family A and B compounds to identify known OSPW-affected groundwater.
For validation, we sampled the monitoring well network of the known
OSPW-affected groundwater plume emanating from MLSB (tailings pond; Figure ). Locations deemed “in plume” (i.e., 01A, 01B,
02B, 02C, 03B, 03C, 04B) and outside the plume (i.e., 03A, 04A, 05B,
05C, 06A; “non-plume”) have not changed from what was
first reported,[13] based on total NAs, sodium
(Figure ) and other
Level-1 metrics (i.e., SFS, boron, fluoride; Figure S5). While this plume can be distinguished from the surrounding
and relatively pristine groundwater by routine analyses (i.e., major
ions, ammonium, and total NAs), it is nevertheless important that
potential OSPW-tracers, such as the Family A and B compounds, be assessed
in their ability to identify OSPW-affected groundwater throughout
the length of the plume. A robust OSPW tracer should be able to match
OSPW of present and historical conditions. Here, changes across the
extent of the plume could reflect changes in pond composition over
the past few decades (i.e., locations closer to the source MLSB representing
more recent OSPW conditions; further locations representing more historical
conditions). Second, an ideal OSPW tracer would not be slowed substantially
by sorption or removed by degradation processes[56] during transport through the aquifer.
Figure 4
Total
Family A and B monoaromatic acids (A), artificial sweeteners
(acesulfame and saccharin) and PFAS surfactants (PFBS, PFHxS, PFOS)
(B) present in well samples of the MLSB plume monitoring network and
the OSPW-source MLSB tailings pond and are arranged from left in direction
of flow path. Panel A depicts total monoaromatic acids expressed relative
to the source OSPW. Results are plotted against Total NAs, (∑NA,
black line), chloride– and sodium+ ions (green and blue lines,
respectively), which have been previously shown to delineate the plume
at this site.[13]
Schematic cross section
of the Mildred Lake Settling Basin (MLSB)
plume showing: base of constructed tailings dyke; ground surface elevation;
well and associated sample intake locations; water table location
measured in December 2013 and September 2004;[15] and contour of December 2013 data as defined by sodium concentration
(c.f.[15]). Note that plume contours and
inferred extent differed somewhat for the different chemical tracers
considered. Elevations in meters above sea level (masl). Modified
after.[15]Total
Family A and B monoaromatic acids (A), artificial sweeteners
(acesulfame and saccharin) and PFAS surfactants (PFBS, PFHxS, PFOS)
(B) present in well samples of the MLSB plume monitoring network and
the OSPW-source MLSB tailings pond and are arranged from left in direction
of flow path. Panel A depicts total monoaromatic acids expressed relative
to the source OSPW. Results are plotted against Total NAs, (∑NA,
black line), chloride– and sodium+ ions (green and blue lines,
respectively), which have been previously shown to delineate the plume
at this site.[13]The monoaromatic Family A and B acids showed good utility for identification
of the plume (Figure A) paralleling the concentrations of total NAs and sodium (and chloride, Figure B), where the elevated
concentrations at well 4A, may reflect faster transport of this conservative
ion. The leading edge of the plume is indicated at well site 4 where
the deeper 4B sample is the last sample to show OSPW-affected groundwater
by these metrics. The absence of detectable Family A and B acids in
samples from wells 5 and 6 combined with the lower concentrations
present in samples from shallow wells 3A and 4A also reflect the nature
of the background at this site, which is affected minimally by natural
bitumen (Figure A[13]). Interestingly, when expressed relative to
the totals measured in the OSPW sample from MLSB, the Family A acids
were generally reduced throughout the plume, whereas the Family B
acids were consistent or elevated. Further differences were apparent
between the individual components (Figures S3, S4). For instance, isomers A1–A4 and especially A6 were
found throughout the plume at levels only slightly lower than the
source OSPW (Figure S5), attributable to
dilution, biodegradation/sorption, or enrichment in the source OSPW
over time. In contrast, isomers A5, A7, and A8 were at much lower
levels or absent from wells at the front of the plume (e.g., 3C, 4B; Figure S6), possibly due to sorption or biodegradation
within the aquifer.[56] Alternatively, this
may reflect a historical change in OSPW composition, making them less
diagnostic. Of the Family B components, B2 showed a general enrichment
relative to the source OSPW, while B1 was consistent (Figure S7). It is possible that B2 is a degradation
product or its concentration in OPSW has declined recently. In conclusion,
this evaluation supports the utility of using the Family A and B combination
as tracers of OSPW as they appear capable of application to historical
conditions and generally behave conservatively when grouped, with
some individual isomer differences noted during transport in this
groundwater flow system. We note that this conclusion is based on
the MLSB groundwater plume and results may differ at other ponds under
other geological conditions.
Evaluation
of Anthropogenic Chemicals
Artificial sweeteners and PFAS
are two groups of anthropogenic contaminants known to be highly mobile
and persistent in groundwater with source apportionment capabilities.[44−48] Despite the fact that they may not be unique to OSPW, their presence
in OSPW may augment a weight of evidence approach. Artificial sweeteners
were analyzed in 10 OSPW samples from three tailings pond sites, with
concentrations of acesulfame and saccharin ranging from nondetect
(<8 ng/L) to 530 ng/L and ∼30 to 420 ng/L, respectively,
significantly enriched over background groundwater (Figure S8).The elevated amounts of sweeteners in many
of these OSPW samples may result from tailings ponds historically
receiving treated or untreated on-lease wastewater. They may also
be derived via recycling of Athabasca River water containing these
substances from upstream sources, during bitumen extraction. These
compounds would typically be below detection limits for pristine waters.
However, groundwater may be affected by other sources associated with
oil sands developments, including wastewater treatment plants (WWTPs)
and septic systems. For example, in a study of urban groundwater,[44] four sites (three with known wastewater influences)
had maximum acesulfame concentrations >2500 ng/L and two sites
(one
wastewater, one landfill influenced) had maximum saccharin concentrations
>2000 ng/L. Similarly, in a study of 12 septic system sites, Robertson
et al.[57] found that acesulfame concentrations
in groundwater plumes were typically >2000 ng/L. Finally, one background
groundwater sample of Roy et al.,[20] collected
along the Athabasca River in the oil sands area and near a WWTP had
(unreported) acesulfame and saccharin concentrations of 290 and 50
ng/L, respectively. Thus, these other sources, which may occur near
the tailings ponds in association with anthropogenic activity, combined
with the low concentrations found in some tailings ponds may confound
the identification of OSPW-affected groundwater using artificial sweeteners
alone.In this study, OSPW concentrations of PFBS, PFOS, and
PFHxS ranged
from nondetection (0.03 ng/L) to 60 ng/L, 0.5 to 75 ng ng/L, and 0.2
to 97 ng/L, respectively (Figure S9). The
origin(s) of the PFAS in OSPW are not presently known. The predominant
historical usage of PFOS is in aqueous film forming foams (AFFF) for
fighting fuel-based fires.[58] Due to the
industrial manufacturing process, PFOS-based AFFF also contains PFBS
and PFHxS as minor impurities.[59] Given
that the profile of PFAS congeners in OSPW did not resemble that of
the Athabasca River and its tributaries, particularly considering
the relatively low levels of perfluorooctanoate (PFOA) and perfluorononanoate
(PFNA), recycling of Athabasca River water containing these substances
from upstream sources during bitumen extraction can be eliminated
as a source (Figure S10). For example,
in OSPW samples, the concentrations of PFOA ranged from Athabasca River itself were 0.93
± 0.33 ng/L PFOA, 0.097 ± 0.006 ng/L PFNA, PFHxS,
0.40 ± 0.05 ng/L PFOS, and 7.9 ng ±2.1 ng/L PFBS. Conversely,
the elevated presence of PFOS, PFBS, and PFHxS in OSPW relative to
background groundwaters (Figure S9), and
their relative similarities to AFFF, suggest the mining operation
as a source. These findings are consistent with Dauchy et al.[60] that showed high levels of PFOS (9.5–19
μg/L), PFBS (0.2–0.6 μg/L), and PFHxS (1.3–2.7
μg/L) in a wastewater lagoon sampled from an oil refinery that
conducted on-site AFFF training. Similarly, Milley et al.[61] indicated that commercial and military airports
are sources of PFAS when AFFF is released during training, emergency
responses, maintenance, and testing. Concentrations in groundwater
affected by AFFF use may reach several orders of magnitude higher
than those noted here for OSPW.[45−47,62] For example, Anderson et al.[62] reported
mean groundwater concentrations corresponding to 309 μg/L PFOS,
20 μg/L PFHxS, and 7 μg/L PFBS at U.S. air force operations.
Similar to artificial sweeteners, PFAS should not be considered unique
markers of OSPW. One pond with the lowest PFAS had just become operational
when the pond was sampled.[51]
Generally,
sweeteners and PFAS were found within the “in-plume”
samples (Figure B).
Saccharin and the PFAS generally tracked the plume well in relation
to the metrics previously used to track OSPW migration at this site
(e.g., NAs, sodium, chloride)[13] and determined
again here (Figure ) with other Level-1 parameters (Figure ; Figure S5).
Plume concentrations of PFAS were elevated relative to the combined
set of background groundwater in this study (Figure S9), which were comparable to groundwater samples from the
United States: 1.26–11 ng/L PFBS, 1.88–45 ng/L PFHxS,
and 3.25–3.41 ng/L PFOS.[48] Acesulfame
was only present in well samples 3A and 4A, which are above the main
OSPW-affected groundwater plume. Saccharin was also elevated in well
3A. These 2 wells are the shallowest within the well nests at locations
3 and 4, suggesting an alternate source of wastewater or landfill
contamination at or near ground surface in that area. The saccharin
found at well 5B (clearly in front of the plume) may have a similar
source.This study is the first to report elevated concentrations
of artificial
sweeteners and PFAS in OSPW. However, concentrations were not elevated
in all of the tailings ponds and both have other sources that may
exist as part of mining operations. Thus, their use as OSPW-indicators
should serve as part of a weight of evidence approach with other parameters
and must be applied with proper consideration of site conditions.
Evaluation
of Unknown Samples Adjacent to Tar Island Dyke
Frank et al.[16] collected shallow groundwater from 3 locations
adjacent to TID along the shoreline of the Athabasca River (DP-4,
DP-5, DP-6); 2 of these (DP-4, DP-5) were determined to be likely
affected by OSPW. These same 3 locations were resampled in 2013 (Unknowns, Table ) and then reassessed
for OSPW-indicators, utilizing the advancements made in this study.
Total Family A and B concentrations for these locations are presented
in Figure , along
with those of 4 OSPW samples collected from three ponds from two mining
operations and the 16 background groundwater samples. All unknown
samples had quantifiable concentrations, but only DP-4 and DP-5 had
values (especially for Family A) notably above the maximum of the
background groundwaters. Both had relatively low concentrations of
components A5, A7, and A8 (Table S6), consistent
with samples at the front of the Mildred Lake plume (Figure S6). These two samples also had elevated SFS signatures
and concentrations of F and NA, while those of DP-6 were low (Figure S4). Note that it is possible that DP-6
has some minor OSPW-influence but, based on the data generated here,
not enough to clearly distinguish it from background. Unfortunately,
there are no data on artificial sweeteners and PFAS from the source
at TID (Pond 1, now reclaimed), further complicating interpretation
of these data. Regardless, the most noteworthy finding for the anthropogenic
tracers was that the concentrations of PFHxS and PFOS at DP-4 were
greater than those of any OSPW sample (Figure S9). This may reflect an OSPW influence at DP-4, though it
may also result from past PFAS uses around TID. The sweetener data
for these 3 sites (Figure S8) was suggestive
of an OSPW influence at DP4 and DP 6 but again may reflect other sources
around TID.
Figure 5
Total Family A and B concentrations in samples of OSPW, Background
Groundwater, and Unknowns by Tar Island Dyke (TID, Table ; Figure ).
Total Family A and B concentrations in samples of OSPW, Background
Groundwater, and Unknowns by Tar Island Dyke (TID, Table ; Figure ).A final assessment was conducted using a PCA with 31 chemistry
parameters, including Family A and B (sums and individual components),
O2/O4, PFAS, artificial sweeteners, and a select
group of inorganic compounds (typical screening parameters) and a
Pearson Correlation matrix (Table S7).
The biplot of this PCA (Figure ) shows clear distinction along Component 1 (x-axis; strongly aligned with Family A and B vectors) between OSPW-related
samples (OSPW of MLSB and in-plume; Table ) and unaffected samples (background groundwaters
and nonplume; Table ). Samples DP-4 and DP-5 fall in the region strictly related to MLSB
OSPW and in-plume wells, while DP-6 falls outside this area, close
to wells 3A and 4A (nonplume; above and at the edge of the plume)
and BG-3. Considering the above, this new evaluation of the resampled
locations supports the earlier determination of Frank et al.,[16] providing more conclusive evidence of OSPW-affected
groundwater reaching the Athabasca River system at locations DP-4
and DP-5.
Figure 6
Biplot (first and second components) of the PCA of 31 chemical
constituents in 32 water samples from the 4 sample groups (legend
and Table ; MLSB Plume
split into OSPW-affected and nonaffected). Sample scores are indicated
by symbols (according to group) and chemistry variable scores (loadings)
are represented as vectors radiating from the origin. The chemical
composition of a sample is indicated by its score relative to the
variable vectors. The further from the origin a sample score’s
perpendicular projection on a vector is, the higher the concentration
of the vector’s chemical is likely to be in the sample. Samples
that are chemically similar will plot near to each other. Plots A
and B are identical but for (A) sample scores are labeled and enclosed
by convex hulls according to sample group, and (B) chemistry variable
loadings are labeled. For this PCA, 67.9% of the total variance was
explained by the first 2 eigenvalues (components).
Biplot (first and second components) of the PCA of 31 chemical
constituents in 32 water samples from the 4 sample groups (legend
and Table ; MLSB Plume
split into OSPW-affected and nonaffected). Sample scores are indicated
by symbols (according to group) and chemistry variable scores (loadings)
are represented as vectors radiating from the origin. The chemical
composition of a sample is indicated by its score relative to the
variable vectors. The further from the origin a sample score’s
perpendicular projection on a vector is, the higher the concentration
of the vector’s chemical is likely to be in the sample. Samples
that are chemically similar will plot near to each other. Plots A
and B are identical but for (A) sample scores are labeled and enclosed
by convex hulls according to sample group, and (B) chemistry variable
loadings are labeled. For this PCA, 67.9% of the total variance was
explained by the first 2 eigenvalues (components).
Study
Implications
In the present study, we sought to advance our
previous methodology to distinguish OSPW-affected groundwater from
background (particularly bitumen-influenced) groundwater in Canada’s
oil sands region. The results identified the groups of Family A and
B monoaromatic acids with clear concentration differences between
an unprecedented sampling of OSPW and background groundwaters, including
those influenced by natural bitumen. From our evaluations at a known
OSPW plume, Family A isomers A1–A4 and A6 showed the greatest
diagnostic potential. Thus, we conclude that the Family A acids represent
the best single diagnostic metric to date. This is an advance from
our previous work[16] and is based on quantitative
data, as these substances were quantified against an isomer isolated
from OSPW by preparative GC. We also determined that O2/O4 ratios are insufficient for distinguishing bitumen
sources, thereby resolving the conflicting evidence for their diagnostic
capabilities.[21,34,35]We are the first to report elevated concentrations of artificial
sweeteners and PFAS in OSPW. All compound classes are highly mobile
and persistent in groundwater; however, they were not found in all
ponds, and given other common sources of these compounds in urban-industrial
settings, we do not recommend them as definitive OSPW tracers. However,
they would augment the weight of evidence assessment and therefore
also advance our previous work.[16] These
advancements, coupled with the unprecedented sampling of industrial
and natural sources, enabled the nontarget companion study by Milestone
et al.[52] to be conducted on the same extracts
that could be assigned as OSPW-affected/nonaffected.It is important
to reiterate that this study focused solely on
groundwater as the first recipient of possible OSPW seepage to facilitate
and validate method development. Following future confirmations and
availability of authentic standards of the Family A and B acids, analysis
of these acids could be used to provide an assessment of OSPW-affected
groundwater reaching nearby surface waters. However, given that it
would not likely be feasible to analyze large numbers of samples for
these analytes, sample screening is recommended. Screening parameters
could include those used in the Level-1 analyses employed here and
previously[16] or other tracers reported
in the literature,[13,17,18,20,27−38] as incorporated into the PCA of Figure . It may be warranted in some cases to conduct
supplemental analyses of anthropogenic classes (artificial sweeteners
and/or PFAS) to provide further confidence of an OSPW-influence via
a weight-of-evidence approach. It is important to reiterate that because
the Family A acids are present naturally (Figures and 5), these are
unlikely to distinguish groundwater affected by low levels of OSPW.
We note that the Milestone et al.[52] identifies
a small group of unknowns with strong diagnostic potential with postulated
structures. Confirmations of these structures may ultimately advance
the selectivity and sensitivity of the present methodology to enable
future studies that could include measuring exact locations and fluxes
of seepage.Finally, this study supports the conclusions of
Frank et al.[16] that groundwater affected
by OSPW is reaching
the Athabasca River system beside TID at a few locations. The ecological
implications of this, if any, are not immediately apparent. Ecosystem
health assessments conducted at multiple stations over 100 km in the
Athabasca River under the federal/provincial Canada-Alberta Oil Sands
Monitoring Plan showed that during 2012–2014, response patterns
in benthic community assemblages were associated with nutrients and
contaminants (metals and polyaromatic compounds; PACs) and that these
in turn were associated with municipal sewage effluent and mining
activities within the deposit.[63] Fish population
health assessments conducted in parallel showed similar responses
indicative of nutrient enrichment (increased condition, internal fat
stores) and exposure to PACs (induction of hepatic ethoxyresorufin-O-deethylase activity) relative to sites upstream of mining
activity.[64] At present, there is no linkage
to any of these response patterns to OSPW seepage specifically; however,
application of the methodology developed will now be able to confirm
if seepage is entering surface waters.This study has shown
that the Family A and B monoaromatic acids
with unknown chemical structures, and possibly acesulfame and perfluorinated
surfactants, are components of the migratory OSPW mixtures beside
TID. Other OSPW-derived organics, or in situ degradation products[56] with similar properties (e.g., water solubility),
may also be present and pose undefined risks to aquatic biota. Determination
of the drivers of toxicity within OSPW and impacted groundwaters,
as well as the natural bitumen-affected groundwaters, is necessary
to address the ecological relevance of OSPW-affected groundwater reaching
surface waters. Given the complexities and inherent similarities in
the chemical compositions of these sources, such studies need to be
conducted carefully. Work in this area has been initiated,[65,66] which will guide and inform the effects-based monitoring of fish
populations and benthic communities of the Athabasca River watershed
under the Canada-Alberta Oil Sands Monitoring Program.
Authors: J V Headley; M P Barrow; K M Peru; B Fahlman; R A Frank; G Bickerton; M E McMaster; J Parrott; L M Hewitt Journal: Rapid Commun Mass Spectrom Date: 2011-07-15 Impact factor: 2.419
Authors: Steven J Rowland; Alan G Scarlett; David Jones; Charles E West; Richard A Frank Journal: Environ Sci Technol Date: 2011-03-10 Impact factor: 9.028
Authors: Jennifer Bräunig; Christine Baduel; Amy Heffernan; Anna Rotander; Eric Donaldson; Jochen F Mueller Journal: Sci Total Environ Date: 2017-04-22 Impact factor: 7.963
Authors: Richard A Frank; James W Roy; Greg Bickerton; Steve J Rowland; John V Headley; Alan G Scarlett; Charles E West; Kerry M Peru; Joanne L Parrott; F Malcolm Conly; L Mark Hewitt Journal: Environ Sci Technol Date: 2014-02-11 Impact factor: 9.028
Authors: Richard J Kavanagh; Richard A Frank; Ken D Oakes; Mark R Servos; Rozlyn F Young; Phillip M Fedorak; Mike D MacKinnon; Keith R Solomon; D George Dixon; Glen Van Der Kraak Journal: Aquat Toxicol Date: 2010-10-25 Impact factor: 4.964
Authors: Steven J Rowland; Charles E West; David Jones; Alan G Scarlett; Richard A Frank; L Mark Hewitt Journal: Environ Sci Technol Date: 2011-10-20 Impact factor: 9.028
Authors: J Scott Boone; Craig Vigo; Tripp Boone; Christian Byrne; Joseph Ferrario; Robert Benson; Joyce Donohue; Jane Ellen Simmons; Dana W Kolpin; Edward T Furlong; Susan T Glassmeyer Journal: Sci Total Environ Date: 2018-10-18 Impact factor: 7.963
Authors: Jessie S Reynolds; Brianna L Jackson; Barry N Madison; Chris K Elvidge; Richard A Frank; Caleb T Hasler; John V Headley; L Mark Hewitt; Kerry M Peru; Sarah B Yakimowski; Diane M Orihel Journal: Environ Toxicol Chem Date: 2022-04-11 Impact factor: 4.218
Authors: Craig B Milestone; Chenxing Sun; Jonathan W Martin; Greg Bickerton; James W Roy; Richard A Frank; L Mark Hewitt Journal: Rapid Commun Mass Spectrom Date: 2021-02-15 Impact factor: 2.586