Detroit River Area of Concern
An Area of Concern (AOC) is a location where environmental quality is degraded compared to other areas in the Great Lake Basin resulting in the impairment of beneficial uses. A total of 43 AOCs were identified as a result of Annex 2 of the Great Lakes Water Quality Agreement (GLWQA).The Canada-United States GLWQA identifies 14 beneficial uses that must be restored in order to remove the designation as an Area of Concern. A beneficial use is defined as the ability of living organisms (including humans) to use the Great Lakes Basin Ecosystem without adverse consequences. A Beneficial Use Impairment (BUI) is a condition that interferes with the enjoyment of a water use. Each BUI has a set of locally-defined delisting criteria that are specific, measurable, achievable, and scientifically-defensible.
The Remedial Action Plan (RAP) is administered locally in accordance with the Canada-U.S. Great Lakes Water Quality Agreement (GLWQA) and the Canada-Ontario Agreement (COA). The RAP is an ongoing collaborative effort implemented by federal, provincial, and local governments as well as industry and public partners. There are 3 key stages of the RAP: Stage 1 is a detailed description of the environmental problem; Stage 2 identifies remedial actions and options; Stage 3 is the final document providing evidence that the beneficial uses have been restored and the AOC can be “delisted”.
The Detroit River, a 51 km-long connecting channel, is one of five binational AOCs. The Detroit River has a long history as a shipping channel and it has contributed greatly to the industrialization and development of Ontario and the north-eastern United States. As a result, however, it has been severely degraded due to frequent dredging, contamination directly into the water or indirectly by atmospheric deposition (i.e. mercury) and through the disposal of human and chemical wastes. For more information, visit detroitriver.ca and/or view a 2010 BUI status update at: https://www.ijc.org/en/detroit-river-status-beneficial-use-impairments
Supplemental Information
For more information visit: https://www.canada.ca/en/environment-climate-change/services/great-lakes-protection/areas-concern/detroit-river.html
Datasets available for download
Additional Info
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| Last Updated | October 20, 2025, 03:06 (UTC) |
| Created | October 20, 2025, 03:06 (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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Detroit River Area of Concern |
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Description
A description of the dataset.
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An Area of Concern (AOC) is a location where environmental quality is degraded compared to other areas in the Great Lake Basin resulting in the impairment of beneficial uses. A total of 43 AOCs were identified as a result of Annex 2 of the Great Lakes Water Quality Agreement (GLWQA).The Canada-United States GLWQA identifies 14 beneficial uses that must be restored in order to remove the designation as an Area of Concern. A beneficial use is defined as the ability of living organisms (including humans) to use the Great Lakes Basin Ecosystem without adverse consequences. A Beneficial Use Impairment (BUI) is a condition that interferes with the enjoyment of a water use. Each BUI has a set of locally-defined delisting criteria that are specific, measurable, achievable, and scientifically-defensible. The Remedial Action Plan (RAP) is administered locally in accordance with the Canada-U.S. Great Lakes Water Quality Agreement (GLWQA) and the Canada-Ontario Agreement (COA). The RAP is an ongoing collaborative effort implemented by federal, provincial, and local governments as well as industry and public partners. There are 3 key stages of the RAP: Stage 1 is a detailed description of the environmental problem; Stage 2 identifies remedial actions and options; Stage 3 is the final document providing evidence that the beneficial uses have been restored and the AOC can be “delisted”. The Detroit River, a 51 km-long connecting channel, is one of five binational AOCs. The Detroit River has a long history as a shipping channel and it has contributed greatly to the industrialization and development of Ontario and the north-eastern United States. As a result, however, it has been severely degraded due to frequent dredging, contamination directly into the water or indirectly by atmospheric deposition (i.e. mercury) and through the disposal of human and chemical wastes. For more information, visit detroitriver.ca and/or view a 2010 BUI status update at: https://www.ijc.org/en/detroit-river-status-beneficial-use-impairments Supplemental Information For more information visit: https://www.canada.ca/en/environment-climate-change/services/great-lakes-protection/areas-concern/detroit-river.html |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2015-10-01 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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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
Limits on use of data.
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/43830fa2-a2ee-4cf9-a3fd-364295017b9f |
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Data Service
Data service for accessing a dataset.
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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
Who to contact regarding access?
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Government of Canada; Environment and Climate Change Canada, 1-800-668-6767, [email protected] |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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[email protected] |
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Author
Author of the dataset.
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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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
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold 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
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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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
Describes how granular (in meters) geospatial data is in the dataset.
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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
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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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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