CIMP 161_Legacy arsenic pollution in Yellowknife Bay sediments

The main objective of this project was to evaluate the long-term stability of arsenic contamination from gold mining in sediments of Yellowknife Bay (Great Slave Lake) and the potential for long-term change in arsenic diffusion from sediments to overlying water with climate warming. A multi-disciplinary study was conducted involving field measurements, laboratory experiments, and modelling. As part of the field program, water column profiles of inorganic arsenic, temperature and specific conductivity were measured in Yellowknife Bay to examine to examine the vertical distribution of surface water arsenic.

Citation

Environment and Climate Change Canada (ECCC) / Environnement et Changement climatique Canada (ECCC); Université de Montréal. 2020-07-11. "CIMP 161_Legacy arsenic pollution in Yellowknife Bay sediments" (dataset). 1.0.0. DataStream. https://doi.org/10.25976/gm49-2a19.

Funding Sources

Cumulative Impact Monitoring Program (GNWT)

Data Collection Information

Water column profiles of inorganic arsenic, temperature and specific conductivity were measured at two sites at the north end of Yellowknife Bay on three occasions (August 2018, March 2019, July 2019). Water samples and sonde measurements were taken near the water surface (-0.15 m depth) and every subsequent metre until reaching the lake bottom (stopping approximately 1 m above the sediment). In the winter, the first measurements were taken at -1 m depth to avoid the overlying ice. Water temperature and specific conductivity were measured with a calibrated YSI sonde. Water samples were collected using trace metal protocols with a peristaltic pump, an acid-washed teflon line and inline high capacity filter (0.45 µm). Filtered water samples were stored in 15 mL trace metal vials and preserved with EDTA and glacial acetic acid. Filtered concentrations of inorganic arsenic were determined by hydride generation atomic fluorescence spectrometry or liquid chromatrography inductively coupled plasma mass spectrometry at the Université de Montréal.

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API Access

curl -G https://api.datastream.org/v1/odata/v4/Records --data-urlencode "\\$filter=DOI eq '10.25976/gm49-2a19'" -H "x-api-key: PRIVATE-API-KEY"

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