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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
GWF-SAMMS: Sub-Arctic Metal Mobility Study
Select second related project (if applicable)
Dataset Title
Data for: Evaluating spatiotemporal patterns of arsenic, antimony, and lead deposition from legacy gold mine emissions using lake sediment records
Additional Information
Related Publication: Jasiak, I., Wiklund, J. A., Leclerc, E., Telford, J. V., Couture, R. M., Venkiteswaran, J. J., Hall, R. I., & Wolfe, B. B. (2021). Evaluating spatiotemporal patterns of arsenic, antimony, and lead deposition from legacy gold mine emissions using lake sediment records. Applied Geochemistry, 105053. https://doi.org/10.1016/j.apgeochem.2021.105053
Abstract
In the absence of long-term environmental monitoring prior to and during resource development, identifying the extent of pollution is challenging but important for assessing risks to ecosystem health. Legacy pollution from Giant Mine in the Northwest Territories is a concern because while gold smelting operations ceased in the late 1990s, the fine, toxic dust arsenic trioxide dispersed into the atmosphere, potentially creating repositories in the surrounding landscape. Lake water surveys and the sampling of surficial sediment have identified a confined emissions footprint within a 30-km radius of the mine. However, these measurements may not capture the range of aerial deposition of emissions from the mine, particularly peak emissions released during the 1950s. Paleolimnological studies from far-field locations have shown evidence of arsenic enrichment coinciding with the timing of peak mine emissions during the 1950s, suggesting further research is needed to characterize stores of legacy metals derived from Giant Mine pollution. To address this need, as part of the Sub-Arctic Metal Mobility Study, temporal patterns of metals (arsenic, antimony, and lead) deposition and hydrological conditions were reconstructed from sediment cores collected from eight lakes along an 80-km transect northwest of Yellowknife, following the prevailing wind direction. Two sediment cores were collected from each lake by using a Uwitec gravity corer fitted with PVC tubes (86-mm internal diameter). These lake sediment cores provide further characterization of the Giant Mine emission footprint, and the depositional and post-depositional history of arsenic and other metals in sub-arctic lakes and their catchments.
Purpose
The purpose of this project (Sub-Arctic Metal Mobility Study) was to reconstruct the temporal patterns of metals (arsenic, antimony, and lead) deposition and hydrological conditions from sediment cores collected from eight lakes along an 80-km transect northwest of Yellowknife, following the prevailing wind direction.
Citations
Jasiak, Izabela; Wolfe, Brent; Hall, Roland; Venkiteswaran, Jason, 2021, "Data for: Evaluating spatiotemporal patterns of arsenic, antimony, and lead deposition from legacy gold mine emissions using lake sediment records", https://doi.org/10.5683/SP2/TNYTQL
Temporal Extent
Begin Date
End Date
2018-02-01
2019-08-31
Geographic Bounding Box
West Boundary Longitude
-115.444528
East Boundary Longitude
-114.526250
North Boundary Latitude
63.002056
South Boundary Latitude
62.552889
Is Boundary Rectangular
◉ Yes
○ No
Research Site Location
Map Not Available
Display
View on Global Map
Dataset Version
1
Dataset Creation Date
2021-07-29
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Dataset Completion or Abandonment Date
2021-09-09
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
◉ As needed
○ Irregular
○ None planned
○ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
▣ Field collected samples
◻ Field experiment
◻ Field observation
▣ Field survey
◻ Human biological samples
◻ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Terms of Use
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Access, Use, and Distribution of these data, metadata, and associated materials are governed by this CC BY-NC-SA 4.0 license. The terms of this license are available at: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Download Links and Instructions
https://dataverse.scholarsportal.info/dataset.xhtml?persistentId=doi:10.5683/SP2/TNYTQL
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
▣ CSV files (.csv - comma or tab separated value files)
▣ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
▣ Text files (.txt)
◻ Word document files (.docx, .doc)
▣ Other (Please specify in field below)
Other Data Formats (if applicable)
.md
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