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Water 2018, 10(9), 1157; https://doi.org/10.3390/w10091157

Article
Organochlorine Pollutants within a Polythermal Glacier in the Interior Eastern Alaska Range
1
Climate Change Institute, University of Maine, Orono, ME 04469, USA
2
School of Earth and Climate Sciences, University of Maine, Orono, ME 04469, USA
3
Water and Environmental Research Center (WERC), University of Alaska, Fairbanks, AK 99703, USA
4
College of Science and Humanities, Husson University, Bangor, ME 04401, USA
5
U.S. Army Engineer Research and Development Center, Geospatial Research Laboratory, Alexandria, VA 22315, USA
6
School of Food and Agriculture, University of Maine, Orono, ME 04469, USA
*
Author to whom correspondence should be addressed.
Received: 8 August 2018 / Accepted: 25 August 2018 / Published: 29 August 2018

Abstract

:
To assess the presence of organochlorine pollutants (OCP) in Alaskan sub-Arctic latitudes, we analyzed ice core and meltwater samples from Jarvis Glacier, a polythermal glacier in Interior Alaska. Jarvis Glacier is receding as atmospheric warming continues throughout the region, increasing opportunity for OCP transport both englacially and into the proglacial watershed. Across glacial meltwater and ice core samples, we utilize solid-phase extraction technology and identify the pesticides DDT, DDE and DDD, α-HCH and γ-HCH. OCP concentrations in ice core samples were highest at the 7–14 m depth (0.51 ng/L of DDT) and decreased gradually approaching the bedrock at 79 m. Meltwater concentrations from the proglacial creek slightly exceeded concentrations found in the ice core, potentially indicating aggregate OCP glacial loss, with peak OCP concentration (1.12 ng/L of DDD) taken in July and possibly associated to peak melt. Ongoing use of DDT to fight malaria in Asia and the extended atmospheric range of HCH may account for concentrations in near-surface ice of this remote glacier, correlating with use and atmospheric transport. The opportunity for bioaccumulation of OCPs, in humans or animals, of glacially distributed pollutants may increase as glacial melt continues.
Keywords:
persistent pollutants; glaciers; Arctic

1. Introduction

Glaciers act as a reservoir for atmospherically deposited chemical compounds, providing a record of global anthropogenic chemical development and use [1,2,3]. Organochlorine pollutants (OCPs), manufactured as industrial additives and pesticides starting in the late 1800s and continuing until the enforcement of the Stockholm Convention in 2004, are a group of highly mobile toxic chemicals that have been found in alpine glaciers throughout the Northern hemisphere [4,5].
Studies from Europe, Svalbard and Western Canada have identified an OCP latitudinal gradient with the highest chemical concentrations found in glaciers near 45° N. This result implies that atmospheric transport of OCPs is ubiquitous, but that concentrations vary [6,7,8,9]. The highest OCP concentrations measured englacially to date were found in ice cores from the Italian Alps in 2001 (20 ng/L) [5], containing the chemicals α- and γ-Hexachlorohexene (HCH). While subsequent OCP studies in the Swiss Alps found concentrations of the same magnitude (Polychlorinated biphenyl (PCB)–12.5 ng/L) [6], all studies from the Arctic, including Svalbard (PCB–1.5 ng/L) [7] and Canada (Dichlorodiphenyltrichloroethane (DDT)–2.5 ng/L) [9,10] have found lower OCP concentrations. The atmospheric range potential of each chemical is determined in part by distance from source, air mass transport, weight and volatility, with some pesticides able to redeposit multiple times [6,7,10,11,12,13,14]. Σ-HCH has the greatest atmospheric range of all OCPs, due in part to its high volatility and low reactivity, which increases the probability of Arctic deposition [15,16,17,18,19]. Based upon this previous work, we hypothesized that we could identify an OCP signal within glaciers of the Interior Alaskan Arctic, where no OCP glacial sampling studies have previously been conducted.
Our recent assessment of screening level risk from glacially mobilized OCPs in the Swiss Alps identified potential cancer and disease risk from long-term fish consumption in the proglacial watershed [20]. Human consumption of local fish put health risk in the Swiss Alps just above screening level thresholds, even though the region is characterized by low levels of fish consumption [20,21]. The elevated fish consumption in subsistence groups of the Alaskan Arctic [22,23,24] indicates the need to explore the potential presence of OCPs in Alaskan glaciers and meltwater in order to characterize possible human health risks. Furthermore, Alaskan glaciers are losing mass at an increasing rate [25,26,27], necessitating prompt study of OCP glacial entrainment to determine if pollutants are entering the glacier watershed below.
Jarvis Glacier represents one of the most well studied glacial systems in Eastern Alaska (Figure 1) [23,28,29,30]. Research into the connections between watershed characteristics [28,29], permafrost [28] and ice dynamics have developed an integrated perspective of the glacier and the region. Ice core samples collected for investigation into Jarvis Glacier’s ice dynamics give us opportunity to conduct the first study of OCPs entrained within an alpine glacier of Interior Alaska, as a first effort to characterize organochlorine species and concentration. We identify the presence and concentration of OCPs pollutants in the Jarvis Glacier watershed to add an understanding of glacially entrained pollutants to ongoing research on system dynamics.
There are relatively few historical and/or present uses of OCPs within Alaska, suggesting that any glacier-stored OCPs must be transported from distant locations. The use of DDT has been recorded within the last decade in China, India and the Democratic People’s Republic of Korea [31,32], with atmospheric transport across the Pacific [19,33,34] and preferential OCP snow scavenging [13,35] increasing the likelihood of deposition onto Alaskan glaciers [36,37,38]. Recently retrieved ice core records from Interior Alaska indicate that the strengthening Aleutian low has resulted in increased snow deposition in the Alaska Range since 1840 [39]. This increase in precipitation may allow for the greater success of OCP atmospheric scavenging and glacial deposition [35,40]. The potential for OCP deposition in Alaskan glaciers combined with recent elevated glacial mass loss in the Eastern Alaska Range [26,41] makes Jarvis Glacier an ideal case study for Alaskan glacial chemistry and potential for human OCP uptake.

Summary

Jarvis Glacier is a small glacier in the Interior of Alaska Eastern Range that has been found to contain harmful pesticide species ∑-DDT and ∑-HCH. These compounds were discovered within both the glacier ice and meltwater during the 2016–2017 field season. While setting dates to the years of snow and ice deposition within the glacier was not possible, we are able to identify these same chemicals across all of the ice core and meltwater samples. Though these compounds are mostly banned today, we hypothesize that the DDT deposited near the surface of the glacier may have been transported atmospherically from malaria prevention efforts in Asia, whereas the HCH is known to be ubiquitous globally. As the compounds are introduced into the watershed, they may increase in concentration through biota bioaccumulation, potentially impacting subsistence populations disproportionately. Further research into the downstream impacts of glacially-released pollutants will be necessary to mitigate impacts across the Arctic and in glaciated regions.

2. Materials and Methods

Jarvis Glacier (~6 km2) is a north facing, polythermal valley glacier in the Eastern Alaska Range of Interior Alaska at 63.74 N, 145.65 W (Figure 1). The region is characterized by the semi-arid precipitation of a subarctic continental climate regime with a mean annual lowland precipitation accumulation of 303 mm and temperature of −0.5 °C [29]. Summer warming in Interior Alaska of 0.1 °C per year has resulted in a 12% glacier cover reduction and a continuously negative glacier mass balance across the Interior range for the last five decades [28,42]. Glacial meltwater from the range to the Tanana River (Figure 1) contributes up to 60% of annual downstream flow, and is increasing yearly [30]. Records identify that winter runoff increased in the proglacial Tanana River, beginning in the 1970s [43] in alignment with shrinking glaciers and aquifer recharge via glacierized headwater stream corridors, but without subsequent increase in precipitation [28]. Glacial contributions to stream flow have also been found to increase in June and July, concurrent with a yearly precipitation decrease ranging between 12–26% during the past six years [29]. This makes summer streamflow the period of greatest glacial discharge, and therefore presents the best opportunity to capture a glacial meltwater OCP signal.
For Jarvis Glacier, the seasonal warming and an absent compensation in solid precipitation have resulted in a −13.2 m mass loss in the past five years, with an average of −2.2 m yearly loss [28]. The glacier is currently in a state of overall mass loss characterized by a negligible accumulation area and significant yearly meltwater discharge from April–November, with internal temperatures fluctuating from −10–0 °C [29,44]. Seasonal meltwater contribution for the near region oscillates monthly from 2% in May to 80% in September, with an annual average of up to 35% [29]. Locally, Jarvis Glacier feeds Jarvis Creek (634 km2) which flows year-round, including with a late winter discharge of approximately 3 m3 s−1 [28]. Glacial meltwater from Jarvis Glacier contributed 15% to 28% (in 2015 and 2016, respectively) of the annual runoff to Jarvis Creek watershed, which in turn feeds the larger Delta, Tanana and Yukon Rivers [28].

2.1. Ice Core

In April 2017, a surface-to-bed (0–79 m) ice core was recovered from Jarvis Glacier. The ice core was retrieved using a 3 in. (8.2 cm) diameter Badger-Eclipse drill at the left lateral glacier margin in an area with folding, faulting and conjugate fractures (Figure 1). While the core was initially drilled to satisfy the objectives of a concurrent ice dynamics research study, drilling near the rapidly melting lateral margin also provides a more direct comparison between ice core and OCP stream samples. The ice core had alternating debris and melt layers, characteristic of a polythermal glacier, with clear layers containing bubble planes. Significant debris, englacial and basal water was discovered during drilling, and verified by ground penetrating radar profiles showing laterally extensive debris bands, water tables, and pockets of water (Figure 2). The combination of polythermal regime with diffuse annual ice and chemical layering, regular ice fracturing, and lateral margin drill location, make it impossible to determine the chemical chronology of the core (Figure 1). However, we hypothesize that with the glacier’s length of 5 km, and recent GPS measurements indicating an upper limit ice velocity approaching 25 m per year, the lower age limit of Jarvis ice is 200 years. A recent increase in basal sliding velocity due to heat influx and increased melt may indicate a significantly higher upper age limit based upon a slower basal sliding velocity.
Once removed, the core was stored in a freezer on site at temperatures between −18 and −20 °C. Ice core sections were transported in 3–5 day intervals by helicopter to the Cold Regions Research and Engineering Laboratory (CRREL) in Fairbanks, Alaska, where they were stored at −18 °C. At CRREL, we retrieved 2 L of water equivalent from 7 m long segments of ice core, using a table saw cleaned and sanitized with ethanol and kept in a room at a constant temperature of −18 °C. The segments were melted in chemically pre-cleaned, sealed one-gallon glass jars to prevent loss due to revolitilization. Once each section was melted, samples were filtered through C-18 Solid Phase Extraction (SPE) cartridges (Oasis Hydrophilic-Lipophilic Balance (HLB), 6 cm3/500 mg, Large Particle (LP) Extraction Cartridge, 60 μm; Waters Corporation, Milford, MA, USA) to separate non-polar OCP compounds from polar organic material [45,46,47]. Following published protocol [47], the C-18 cartridges were pre-cleaned with 5 mL hexane and 5 mL ethyl acetate followed by 5 mL methanol and 5 mL deionized water (Milli-Q). A tracing spike of 10 μL of 100 ppm organochlorine pesticides (Absolute standards, Hamden, CT, USA) was added to one sample before filtration to measure method recovery, and 50 μL of the recovery standard PCB 40 (2,2′,3,3′-Tetrachlorobiphenyl at a concentration of 10 ppm in acetone, Chemservice, West Chester, PA, USA) was also added to all samples. Samples were then drawn through cartridges using a vacuum manifold at a flow rate of approximately 10 mL/min. After the extraction, the cartridges were dried under full vacuum pressure for 5 min and subsequently eluted with 3 mL ethyl acetate and 5 mL of hexane followed by a repeat elution of 5 mL hexane. Samples were then blown down to a volume of 1 mL. A final extract 20 μL of 100 ppm internal standard tetrachloro-m-xylene (TCX) was added for continuity. After elution, the 1 mL analytes were sealed and shipped directly to Anatek labs in Moscow, Idaho, for processing using triple quadrupole gas chromatography tandem mass spectrometry (GC-MS/MS) with the limit of detection at 0.1 ng/L. Any sample concentrations found below the limit of detection are reported for reference only.

2.2. Meltwater Samples

Sampling of Jarvis Creek was accomplished using the solid phase extraction (SPE) protocol [45,46]. Two bulk water samples of 4 L each were taken to sample for particulates during the monthly sampling trips in 2016. From these, we sampled 1 L using C-18 Solid Phase Extraction (SPE) cartridges (Sigma-Aldrich, St. Louis, MO, USA) and processed the samples at the University of Maine following the SPE methodology described in the Ice Core section [47]. Recovery standards and internal standards were added to all samples. All stream samples were analyzed at Anatek labs in Moscow, Idaho, using triple quadrupole gas chromatography tandem mass spectrometry (GC-MS/MS).

3. Results

3.1. Quality Control

The recovery standard PCB 40 (Chemservice, West Chester, PA, USA) was recovered in ice core samples at an average 70 ± 15% recovery and in meltwater samples to 80 ± 15% recovery with blanks as a baseline. Recoveries were considered satisfactory across all analytes and are in alignment with recoveries from similar published protocols [7,48].
The SPE procedural blank process incorporates both lab and field results, as in-lab cleaning and SPE pre-activation with hexane, ethyl acetate and methanol is required. SPE blanks and spikes were generated using 1 L of Milli-Q water per filter, with Milli-Q water treated like a meltwater sample. Low level concentrations of OCPs were present in the blanks, at least 1–2 orders of magnitude lower than samples, contributing a negligible amount to concentrations. Reported sample values were thus not normalized for blanks. Bulk stream water samples from August 2016 contained significantly higher sediment quantities, leading to low recoveries and incomplete data, hence these samples were not reported here.
The instrumental GC-MS/MS uncertainty is based on the signal to noise ratio of the calibration method that contributes ±15% to reported concentrations. GC-MS/MS detection calibration is determined after an initial demonstration of capability from the extraction of an instrumental blank followed by corrections based on variability measured within four spiked samples of known concentration. In this case, calibration (ICAL) was initiated for OCPs in levels ranging from 1000 ppb to 10 ppb, where 1000 ppb and 800 ppb calibrations were neglected as the levels were too high in comparison to sample concentrations. Method detection limit procedure followed methods standardized by the United Stated Environmental Protection Agency (EPA) [49] for samples in water and was determined to be 0.1 ng/L for this method.

3.2. Patterns of OCPs in the Ice Core

Out of the 18 pesticide compounds tested for in the Environmental Protection Agency method 8270E, we found three DDT species (Σ-DDT) and two HCH (Σ-HCH) species in both the Jarvis ice core and meltwater (Figure 3 and Figure 4) [50]. Though the ice core chronology is not clear, we are able to determine the presence of these OCPs in the entire ice core. These findings affirm the hypothesis that OCP species are already present in Interior Alaskan glaciers. Throughout the ice core, we found greater quantities of Σ-DDT than Σ-HCH, with highest concentrations of all OCPs in ice core sections near the surface and peaking in the 7–14 m segment (Figure 3 and Figure 4). Gradually lower concentrations occurred at lower depths, with Σ-DDT remaining highest in all layers.
Overall, DDT was the OCP found at greatest quantities throughout the ice core (ice core total: 2.47, 7–14 m peak: 0.51 ng/L), followed by p,p’-DDE (ice core total: 1.53, 7–14 m peak: 0.34 ng/L) and p,p’-DDD (ice core total: 1.50, 7–14 m peak: 0.45 ng/L). Both α-HCH (ice core total: 0.48, 7–14 m peak: 0.15 ng/L) and γ-HCH were found at much lower concentrations throughout all layers (ice core total: 0.20, 7–14 m peak: 0.15 ng/L). Concentrations of both chemical groups found within the ice core were lower than concentrations found in the meltwater, potentially a result of increasing chemical loss from the ablating, polythermal glacier.

3.3. Patterns of OCPs in Meltwater

Bulk meltwater samples showed higher concentrations of Σ-DDT than of Σ-HCH, consistent with the results from ice core samples (Figure 5). For both June and July, p,p’-DDE was found in the greatest concentration (average June: 0.69, July: 0.73 ng/L) throughout the bulk water samples, followed by p,p’-DDD (average June: 0.60, July: 0.56 ng/L) and DDT (average June: 0.58, July: 0.47 ng/L). Bulk water concentrations of α-HCH and γ-HCH were again in slightly lower concentrations, while γ-HCH concentrations (average June: 0.36, July: 0.32 ng/L) were slightly above α-HCH (average June: 0.27, July: 0.19 ng/L).

4. Discussion

4.1. Ice Core OCP Concentrations

The Jarvis Glacier polythermal regime, combined with recent warming trends, results in high water mobility between ice layers and below the glacier, mobilizing particulates and increasing basal lubrication [51]. Meltwater and mineral particulates were found at the bottom of the borehole and throughout the ice layers within Jarvis Glacier. Debris at the bed also increases basal porosity and deep-water flow, increasing the potential for OCP entrainment and transport. Additionally, sediment inputs from the glacier bed or walls may increase OCP sorption to material and transport out of the glacier. This may account for lower concentrations in ice as compared to meltwater, as englacial and basal flow ultimately drains to the stream below the terminal ice margin. Particle sorption within Jarvis’ sediment-rich ice layers may increase OCP loss during englacial and supraglacial melt events [52,53,54]. Ice core concentrations indicate that Σ-DDT is the greatest contributor to OCP concentrations within Jarvis Glacier. Σ-DDT deposition may be a result of use prior to the Stockholm Convention ban, however, continuing DDT use in Asia to combat malaria may explain why comparatively elevated rates occur in samples proximal to the surface [31,37].

4.2. Patterns of Atmospheric Deposition

Though the Arctic is geographically distant from the majority of OCP use areas, the interconnected atmosphere–cryosphere system reflects the global mobilization of human-use chemicals [40]. Atmospheric transport of Σ-DDT from Asia where it is used to fight malaria [31,32,34,37] may account for comparatively elevated rates in our samples. Research into Alaskan ice core dust has used satellite images and back trajectories to identify North Pacific atmospheric transport as a source of particulates to Alaska [34,36,38]. The United States’ National Oceanic and Atmospheric Administration (NOAA) Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT) back trajectories corroborate published findings that a 10-day period is sufficient for air masses containing pollution from Asia to travel to the North Pacific and Alaska [37,55]. Pollution carried in these air masses could be deposited on glaciers through snow scavenging during a period of mass gain [53,56] or through permeation into supraglacial storage during a period of mass loss [29]. Supraglacial melt in the spring may introduce these recently deposited pollutants immediately into the downstream watershed throughout the range [53]. We speculate, based upon transport analysis, that OCP deposition in Interior Alaska is not limited to Jarvis Glacier, but is reflected throughout the Eastern Alaska Range.
Our results show that our hypothesis was correct; we can identify an OCP signal within glaciers of the Interior Alaskan Arctic, reiterating the ubiquitous nature of OCP chemicals. Jarvis Glacier ice core samples show lower OCP concentrations than those recorded in other Arctic studies [48,54], which may be a product of loss due to melt, or the distant location of Jarvis Glacier from regions of greatest use [48,54]. This is in line with a latitudinal OCP concentration gradient noted by previous studies that identifies lower concentration within glaciers North of 65° N [9,15]. The higher quantities of Σ-DDT and Σ-HCH found in the glacial meltwater as compared to the ice core may correlate with increased atmospheric warming and subsequent melt over the last six years [29,47,51,54].

4.3. Meltwater Transport and OCP Dynamics Downstream

As discussed, Jarvis’ polythermal structure raises the possibility of supraglacial water moving OCPs englacially to the sub-glacier environment [51]. However, the permafrost-rich environment below Jarvis Glacier may pose additional routes for storage and release of OCPs over time. Pooling within the proglacial permafrost may temporarily stall the movement of OCPs flowing into the larger watershed, with subsequent permafrost thaw increasing the potential for tertiary OCP release [57]. Stream sediments below the glacier can also act as short-term storage with release dependent on water transport, bioturbation, or direct sediment transport [58,59]. A complete understanding of the type and location of OCPs found in alpine environments will be critical in order to protect the biota from sudden pollutant influx. Though the secondary and tertiary emergence of these chemicals will not reflect the pollution problems of industrial watersheds, OCP bioaccumulation in the ecosystem may cause long-term health impacts in certain populations.

4.4. Implications for Arctic Populations and Ecosystems

Presence of OCPs within Jarvis Glacier and remote Interior Alaska reaffirms the ubiquitous transport and deposition of OCPs within the high Northern latitudes. It is likely that Jarvis Glacier is not an isolated case and that numerous glaciers in the Eastern Alaska Range also house legacy OCPs. In line with glacial melt contribution to the watershed [30], numerous glaciers releasing stored legacy chemicals into the ecosystem may raise the concentration of OCPs above background levels. Subsistent Arctic populations that eat exclusively from the local biota could therefore be indicated for potential human health impacts [20].
Though the concentrations of Σ-DDT and Σ-HCH found within Jarvis Glacier ice and meltwater are low, the potential for bioaccumulation through the proglacial food chain [15,60,61] and the human population [62,63] increases their potential impact. Uptake of OCPs in fish populations correlates with fat content, lifespan and habitat, making fish species in the Salmonidae family more susceptible to bioaccumulation [60,64,65]. Both King and Coho Salmon are the most significant aquatic food sources for Alaskan subsistent communities and are also members of the Salmonidae family. Recent studies have also identified a link between DDT and autism in the second generation, which creates an additional risk for communities as regional exposures continue to increase in area [66]. As mentioned, within the Tanana River, glacial meltwater currently accounts for over 50% of annual stream flow [30], consistently introducing proportional amounts of OCPs into the watershed [28,53,54]. This OCP transport may occur within other ablating glaciers of Interior Alaska, raising the possibility that OCP concentration in the ecologically critical Yukon watershed is increasing with ongoing glacial melt [9,61,65,67,68]. Thus, investigations into the reemergence and distribution of OCPs in Arctic glaciers should be prioritized. With the high fish consumption of many Arctic subsistent groups [24], the risk of toxicity from OCP bioaccumulation is higher than other alpine regions.

5. Conclusions

Our work provides the first data on OCPs within an Alaskan alpine glacier to ongoing global research, reaffirming the continuing deposition of OCPs into Arctic ecosystems [11,17,19]. This work identifies two chemical species of concern within an Interior Alaskan glacier, highlighting the need for further research and exploration in the Interior mountain ranges. This entrainment of chemicals in a remote Interior Alaskan glacier reiterates the transport and deposition of organochlorine compounds globally and the increasing need to assess human health risks from glacial meltwater. Though these chemicals are found in trace quantities within Jarvis Glacier, they introduce OCPs into the watershed at levels higher than direct atmospheric deposition.
As atmospherically deposited pollutants emerge from glacial environments under a warming climate, the health risks from bioaccumulation in the food chain may be compounding. Detailed risk assessment modeling that incorporates bioaccumulation would help elucidate the potential for concentration increase and uptake. Emergent pollution from melting glaciers is one of the lesser known consequences of climate change that represents an area of critical research importance. Though OCPs are only one contributor to emergent pollution within glacial ecosystems, they form part of a greater picture of the long-term fingerprint humans have left on even the most remote locations.

Author Contributions

Conceptualization, K.R.M., K.J.K., A.L., C.G.; Methodology, K.R.M., T.A.; Formal Analysis, K.R.M., T.A., S.C., K.J.K., L.B.P.; Investigation, K.R.M., S.C., S.B., T.G.; Resources, C.G., K.J.K., S.C.; Data Curation, K.R.M.; Writing-Original Draft Preparation, K.R.M., K.J.K.; Writing-Review & Editing, K.J.K., S.C., A.L., C.G.; Visualization, K.R.M., S.C.; Supervision, K.J.K., S.C.; Project Administration, K.R.M.; Funding Acquisition, K.R.M., C.G., S.C., K.J.K.

Funding

K.R.M. was supported by the Switzer Foundation and DOD SMART Scholarship, and the Jarvis field team 2016–2017 were supported by NSF grant OPP-1503924.

Acknowledgments

The authors would like to thank the field team that contributed immeasurably to this work, including CRREL and Tom Douglas, Ice Drilling and Design Operations, Robert Hawley at Dartmouth, Stephanie Mills, Aaron Chesler and Will Kochtitzky at University of Maine. We would also like to thank Jesse Walters, Anatek Labs, Michael Campbell and Walter Beckwith for assistance with the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Map of Jarvis Glacier in the interior of Alaska. The bulk water sampling location in Jarvis Creek is indicated in yellow, an entirely glacier-fed tributary upstream of McCumber creek.
Figure 1. Map of Jarvis Glacier in the interior of Alaska. The bulk water sampling location in Jarvis Creek is indicated in yellow, an entirely glacier-fed tributary upstream of McCumber creek.
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Figure 2. Radar profile for Jarvis Glacier 80 m borehole. Warm ice, cold ice and water in the transition between them are identified. Two-way travel time (TWTT) is indicated on the right axis.
Figure 2. Radar profile for Jarvis Glacier 80 m borehole. Warm ice, cold ice and water in the transition between them are identified. Two-way travel time (TWTT) is indicated on the right axis.
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Figure 3. Stacked bar plot of ice core concentrations by depth from 0 m to 77 m showing alpha and gamma- Hexachlorohexene (HCH), Dichlorodiphenyltrichloroethane (DDT), Dichlorodiphenyldichloroethylene (DDE) and Dichlorodiphenyldichloroethane (DDD).
Figure 3. Stacked bar plot of ice core concentrations by depth from 0 m to 77 m showing alpha and gamma- Hexachlorohexene (HCH), Dichlorodiphenyltrichloroethane (DDT), Dichlorodiphenyldichloroethylene (DDE) and Dichlorodiphenyldichloroethane (DDD).
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Figure 4. Ice core concentration trends by depth with DDT, DDE, DDD and HCH.
Figure 4. Ice core concentration trends by depth with DDT, DDE, DDD and HCH.
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Figure 5. Bulk meltwater concentrations by month sampled, with all species identified.
Figure 5. Bulk meltwater concentrations by month sampled, with all species identified.
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