The monitored ambient concentration and estimated atmospheric deposition of trace elements at four monitoring sites in the Canadian Athabasca oil sands region
Atmospheric concentrations and deposition rates of particulate elements are important indicators for determining the potential impacts of the oil sands industries on the local environment. The datasets consist of measured ambient air concentrations (in PM2.5 and PM2.5-10) and estimated deposition rates (based on PM10) of nearly 50 trace and major elements in the Athabasca oil sands region, Alberta, Canada. Data correspond to the years 2016 and 2017 for the following air monitoring stations: Fort McKay (AMS1), Buffalo Viewpoint (AMS4), Wapasu Creek (AMS17), and Stoney Mountain (AMS18), which are part of a larger network, monitoring various types of pollutants such as particulate matter, polycyclic aromatic compounds, etc. The samplers were operated once every three (AMS1, AMS4, and AMS18) or six days (AMS17) with a 24-hour sampling time (midnight-midnight) following the National Air Pollution Surveillance (NAPS) program protocol, set by the Environment and Climate Change Canada. The particulate matter samples were analyzed by using non-destructive x-ray fluorescence spectrometry (ED-XRF) and by inductively-coupled plasma mass spectrometry combined with microwave-assisted acid digestion (ICP-MS) to determine the elemental concentrations. Subsequently, the dry deposition rates of the elements were estimated from the measured ambient concentrations and size-resolved modeled dry deposition velocities, and the wet deposition rates were estimated from the measured ambient concentrations, precipitation rates, and a literature database of scavenging ratios of the elements. The elements include the toxic metals such as Cu, Pb, Zn, etc., listed by the Canadian Environmental Protection Act (CEPA) and the United States Environmental Protection Agency (USEPA).
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Additional Info
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| Last Updated | October 20, 2025, 03:32 (UTC) |
| Created | October 20, 2025, 03:32 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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The monitored ambient concentration and estimated atmospheric deposition of trace elements at four monitoring sites in the Canadian Athabasca oil sands region |
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Description
A description of the dataset.
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Atmospheric concentrations and deposition rates of particulate elements are important indicators for determining the potential impacts of the oil sands industries on the local environment. The datasets consist of measured ambient air concentrations (in PM2.5 and PM2.5-10) and estimated deposition rates (based on PM10) of nearly 50 trace and major elements in the Athabasca oil sands region, Alberta, Canada. Data correspond to the years 2016 and 2017 for the following air monitoring stations: Fort McKay (AMS1), Buffalo Viewpoint (AMS4), Wapasu Creek (AMS17), and Stoney Mountain (AMS18), which are part of a larger network, monitoring various types of pollutants such as particulate matter, polycyclic aromatic compounds, etc. The samplers were operated once every three (AMS1, AMS4, and AMS18) or six days (AMS17) with a 24-hour sampling time (midnight-midnight) following the National Air Pollution Surveillance (NAPS) program protocol, set by the Environment and Climate Change Canada. The particulate matter samples were analyzed by using non-destructive x-ray fluorescence spectrometry (ED-XRF) and by inductively-coupled plasma mass spectrometry combined with microwave-assisted acid digestion (ICP-MS) to determine the elemental concentrations. Subsequently, the dry deposition rates of the elements were estimated from the measured ambient concentrations and size-resolved modeled dry deposition velocities, and the wet deposition rates were estimated from the measured ambient concentrations, precipitation rates, and a literature database of scavenging ratios of the elements. The elements include the toxic metals such as Cu, Pb, Zn, etc., listed by the Canadian Environmental Protection Act (CEPA) and the United States Environmental Protection Agency (USEPA). |
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Format (CSV, XLS, TXT, PDF, etc)
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Dataset Size
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Metadata Identifier
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Published Date
Published date of the dataset.
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2022-01-27 |
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Time Period Data Span (start date)
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence - Canada |
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Limits on use
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/3bb115bb-f496-43fc-b788-94fa35c2b19e |
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Data Service
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Owner
Owner of the dataset.
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Environment and Climate Change Canada | Environnement et Changement climatique Canada |
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Contact Point
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Contact Point Email
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Publisher
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Publisher Email
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Author
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Author Email
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Accessed At
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
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Persistent Identifier
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Globally Unique Identifier
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Contains data about individuals
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
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Other versions
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
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Number of data columns
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Number of data cells
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
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Number of data properties
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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