Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling

The extraction of gold from arsenopyrite at Giant Mine, near Yellowknife, generated arsenic trioxide between 1940 and 2004. This contamination went beyond the immediate mining sites via emission to the atmosphere and subsequent deposition on soils and lakes. At present, the extent of this legacy is...

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Main Authors: Leclerc, Émilie, Couture, Raoul-Marie, Venkiteswaran, Jason
Format: Other/Unknown Material
Language:unknown
Published: Borealis 2021
Subjects:
Online Access:https://doi.org/10.5683/SP2/TW3LGO
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spelling ftborealisdata:doi:10.5683/SP2/TW3LGO 2023-05-15T15:11:12+02:00 Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling Leclerc, Émilie Couture, Raoul-Marie Venkiteswaran, Jason Venkiteswaran, Jason 2021-07-29 https://doi.org/10.5683/SP2/TW3LGO unknown Borealis https://doi.org/10.5683/SP2/TW3LGO Earth and Environmental Sciences Arsenic Porewater Sediment Diagenesis Giant Mine Field data Laboratory analyses 2021 ftborealisdata https://doi.org/10.5683/SP2/TW3LGO 2022-10-10T05:33:22Z The extraction of gold from arsenopyrite at Giant Mine, near Yellowknife, generated arsenic trioxide between 1940 and 2004. This contamination went beyond the immediate mining sites via emission to the atmosphere and subsequent deposition on soils and lakes. At present, the extent of this legacy is poorly known. Yellowknife is in the subarctic area, one of the most rapidly warming areas in the world. As climate warms, the permafrost melts and the decomposition rates for organic matter accelerates. This increases the load of dissolved organic matter, promotes greenhouse gas emissions and increases the mobility of contaminants in the water. The objectives of this research project were to determine the extent and history of arsenic contamination in eight lakes along an 80 km transect northwest from the mine, using the sediments as an environmental archive. Because arsenic is mobile in sediment, the mobility of arsenic and its possible remobilisation in water were assessed. The water content (porewater) of sediment samples was analysed by inductively coupled plasma mass spectrometry (ICP-MS) for metals and metalloids. Acid volatile sulfides (AVS) were analysed by ultraviolet-visible spectroscopy after extractions. Comparison of the concentration profile obtained for different elements allows speculating on the reactions that occur in the sediment. Finally, inverse diagenetic modelling was performed to determine arsenic reaction rates and the fluxes. This information was then used to discriminate between natural and anthropogenic arsenic sources, and to quantify its mobility in sediments and its probabilities of remobilization to lake water. Other/Unknown Material Arctic permafrost Subarctic Yellowknife Borealis Arctic Canada Yellowknife
institution Open Polar
collection Borealis
op_collection_id ftborealisdata
language unknown
topic Earth and Environmental Sciences
Arsenic
Porewater
Sediment
Diagenesis
Giant Mine
spellingShingle Earth and Environmental Sciences
Arsenic
Porewater
Sediment
Diagenesis
Giant Mine
Leclerc, Émilie
Couture, Raoul-Marie
Venkiteswaran, Jason
Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling
topic_facet Earth and Environmental Sciences
Arsenic
Porewater
Sediment
Diagenesis
Giant Mine
description The extraction of gold from arsenopyrite at Giant Mine, near Yellowknife, generated arsenic trioxide between 1940 and 2004. This contamination went beyond the immediate mining sites via emission to the atmosphere and subsequent deposition on soils and lakes. At present, the extent of this legacy is poorly known. Yellowknife is in the subarctic area, one of the most rapidly warming areas in the world. As climate warms, the permafrost melts and the decomposition rates for organic matter accelerates. This increases the load of dissolved organic matter, promotes greenhouse gas emissions and increases the mobility of contaminants in the water. The objectives of this research project were to determine the extent and history of arsenic contamination in eight lakes along an 80 km transect northwest from the mine, using the sediments as an environmental archive. Because arsenic is mobile in sediment, the mobility of arsenic and its possible remobilisation in water were assessed. The water content (porewater) of sediment samples was analysed by inductively coupled plasma mass spectrometry (ICP-MS) for metals and metalloids. Acid volatile sulfides (AVS) were analysed by ultraviolet-visible spectroscopy after extractions. Comparison of the concentration profile obtained for different elements allows speculating on the reactions that occur in the sediment. Finally, inverse diagenetic modelling was performed to determine arsenic reaction rates and the fluxes. This information was then used to discriminate between natural and anthropogenic arsenic sources, and to quantify its mobility in sediments and its probabilities of remobilization to lake water.
author2 Venkiteswaran, Jason
format Other/Unknown Material
author Leclerc, Émilie
Couture, Raoul-Marie
Venkiteswaran, Jason
author_facet Leclerc, Émilie
Couture, Raoul-Marie
Venkiteswaran, Jason
author_sort Leclerc, Émilie
title Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling
title_short Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling
title_full Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling
title_fullStr Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling
title_full_unstemmed Data for: Quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic Canada using inverse diagenetic modelling
title_sort data for: quantifying arsenic post-depositional mobility in lake sediments impacted by gold ore roasting in sub-arctic canada using inverse diagenetic modelling
publisher Borealis
publishDate 2021
url https://doi.org/10.5683/SP2/TW3LGO
geographic Arctic
Canada
Yellowknife
geographic_facet Arctic
Canada
Yellowknife
genre Arctic
permafrost
Subarctic
Yellowknife
genre_facet Arctic
permafrost
Subarctic
Yellowknife
op_relation https://doi.org/10.5683/SP2/TW3LGO
op_doi https://doi.org/10.5683/SP2/TW3LGO
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