Oil Sands Agreement feature class contains provincial extent polygon features representing Oil Sands applications, agreements, leases, and licences, with varying term dates and conditions. These applications and subsequent agreements give the holder the right to explore Oil Sands.

This dataset is produced and published annually by Natural Resources Canada. It contains a variety of statistics on Canada’s mineral production, and provides the geographic locations of significant metallic, nonmetallic and coal mines, oil sands mines, selected metallurgical works, helium facilities, and oil and gas fields for the provinces and territories of Canada.Related product:- **[Top 100 Exploration Projects](https://open.canada.ca/data/en/dataset/b64179f3-ea0f-4abb-9cc5-85432fc958a0)**

Air emissions from oil sands development can come from a number of sources including industrial smokestacks, tailings ponds, transportation, and dust from mining operations. Air quality monitoring under the Joint Canada-Alberta Implementation Plan for the Oil Sands is designed to determine the contribution of emissions from oil sands activities to local and regional air quality and atmospheric deposition both now and in the future. Deposition data include: - Passive Sampling of PACs deployed for two month periods across a network of 17 sites - Active sampling of PACs at three sites to inform the amount of dry deposition - Particulate metals (24 hour integrated samples following the one in six day National Air Pollution Surveillance (NAPS) cycle)

This study aimed to identify chemical components that could distinguish chemical mixtures in oil sands process-affected water (OSPW) from natural groundwater sources. Oil sands process-affected samples were collected from two different oil sands development tailing ponds, and natural groundwater samples were collected from both far-field (greater than one kilometer (>1km) down- or upstream from an oil sands development site), and near-field (less than 200 meters (<200m) from an oil sands development site) locations.Water samples were assessed by geochemistry, total naphthenic acid analysis, and synchronous fluorescence spectroscopy (SFS) identifying those samples with acid-extractable organics (AEO). Using electrospray ionization high resolution mass spectrometry as well as multidimensional gas chromatography time-of-flight mass spectrometry profiling allowed for differentiation of natural from OSPW sources through the measurement of O2 : O4 ion class ratios. AEO profiles from OSPW and groundwater samples adjacent to tailings ponds were similar, suggesting a common source.All data are a part subject of a publication containing method details, full QA/QC, interpretation, and conclusions: Frank, R. A., Roy, J. W., Bickerton, G., Rowland, S. J., Headley, J. V., Scarlett, A. G., West, C. E., Peru, K. M., Parrott, J. L., Conly, F. M., & Hewitt, L. M. (2014). Profiling oil sands mixtures from industrial developments and natural groundwaters for source identification. Environmental science & technology, 48(5), 2660–2670. doi.org/10.1021/es500131kResponse to comment: Frank, R. A., Roy, J. W., Bickerton, G., Rowland, S. J., Headley, J. V., Scarlett, A. G., West, C. E., Peru, K. M., Parrott, J. L., Conly, F. M., & Hewitt, L. M. (2014). Response to Comment on "Profiling oil sands mixtures from industrial developments and natural groundwaters for source identification". Environmental science & technology, 48(18), 11015–11016. doi.org/10.1021/es504008z

Assess the importance of atmospheric deposition of contaminants as a contributor to ecological impacts of oil sands development and identify sources. • Use snowpack measurements sampled across a gridwork to develop maps of winter-time atmospheric contaminant loadings for the region ~100 km from the major upgrading facilities • Assess long-term trends in winter-time atmospheric deposition • Determine the potential impact of wintertime snowpack mercury loads on tributary river water mercury concentrations (Spring Freshet) using Geographic Information System and hydrological modelling approaches • Compare snowpack loadings to those obtained from precipitation monitoring and compare spatial patterns to PAC air measurements obtained from passive sampling networkAll data are subjects of a publication containing method details, full QA/QC, interpretations and conclusions. Citations:A. Dastoor, A. Ryjkov, G. Kos, J. Zhang, J.L. Kirk, M. Parsons, A. Steffen. 2021. Impact of Athabasca oil sands operations on mercury levels in air and deposition. Atmospheric Chemistry and Physics 21, 12783-12807. L. Chibwe, D.C.G. Muir, Y. Gopalapillai, D. Shang, F. Yang, J.L. Kirk, C. Manzano, B. Atkinson, X. Wang, C. Teixeira. 2021. Long-term spatial and temporal trends, and source apportionment of polycyclic aromatic compounds in the Athabasca Oil Sands Region. Environmental Pollution 268A, 115351. J. Culp, I. Droppo, P. di Cenzo, A. Alexander-Trusiak, D. Baird, S. Beltaos, G. Bickerton, B. Bonsal, R. Brua, P. Chambers, Y. Dibike, N. Glozier, J.L. Kirk, L. Levesque, M. McMaster, D.C.G. Muir, J. Parrott, D. Peters, K. Pippy, J. Roy. 2021. Ecological effects and causal synthesis of oil sands activity impacts on river ecosystems: water synthesis review. Environmental Reviews 29. Doi: https://doi.org/10.1139/er-2020-0082. Y. Gopalapillai, J. L. Kirk, M.S. Landis, D.C.G. Muir, C.A. Cooke, C.A., A. Gleason, A. Ho, E. Kelly, D. Schindler, X. Wang, G. Lawson. 2019. Source analysis of pollutant elements in winter air deposition in the Athabasca oil sands region: A Temporal and Spatial Study. ACS Earth and Space Chemistry 38, 1656-1668. W. Wasiuta, J.L. Kirk, P.A. Chambers, A.C. Alexander, F.R. Wyatt, R.C. Rooney, C.A. Cooke. 2019. Accumulating mercury and methylmercury burdens in watersheds impacted by oil sands pollution. Environmental Science & Technology 53, 12856-12864. C. Manzano, D. Muir, J. L. Kirk, C. Teixeira, M. Siu, X. Wang, J.P. Charland, D. Schindler, E. Kelly. 2016. Temporal variation in the deposition of polycyclic aromatic compounds in snow in the Athabasca Oil Sands area of Alberta. Environmental Monitoring and Assessment 188, 542. andJ.L. Kirk, D. Muir, A. Gleason, X, Wang, R. Frank, I. Lehnherr, F. Wrona. 2014. Atmospheric deposition of mercury and methyl mercury to landscapes and waterbodies of the Athabasca oil sands region. Environmental Science & Technology 48, 73747383.

The health of individual amphibians, amphibian populations, and their wetland habitats are monitored in the oil sands region and at reference locations. Contaminants assessments are done at all sites. Amphibians developing near oil sands activities may be exposed to concentrations of oil sands-related contaminants, through air emissions as well as water contamination. The focus of field investigations is to evaluate the health of wild amphibian populations at varying distances from oil sands operations. Wood frog (Lithobates sylvaticus) populations are being studied in Alberta, Saskatchewan and the Northwest Territories in order to examine the relationship of proximity to oil sands activities and to prevalence of infectious diseases, malformation rates, endocrine and stress responses, genotoxicity, and concentrations of heavy metals, naphthenic acids and polycyclic aromatic hydrocarbons.

Yukon Oil and Gas Dispositions. Created from the disposition abstracts and the Oil and Gas Land Division System. For more information visit [https://yukon.ca/en/doing-business/licensing/apply-oil-and-gas-rights#disposition-overview](https://yukon.ca:443/en/doing-business/licensing/apply-oil-and-gas-rights)Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Historical Oil Fields are subsurface accumulations or 'pools' of crude oil designated as such for the purposes of the Oil, Gas and Salt Resources Act. This product requires the use of geographic information system (GIS) software.

The Cold Lake oil sands area, Township 56 to 69, Range 1 to 11, west of the 4th Meridian, falls within the Lower Athabasca Regional Plan (LARP). As part of Alberta's Land-use Framework, LARP was developed in 2012 to set the stage for robust growth, vibrant communities and a healthy environment within the region. One of its implementation objectives is to balance the economic development of oil sands and impacts on ecosystem and environment. This is to be achieved through enhanced science-based monitoring for improved characterization of the environment and collection of the information necessary to understand cumulative effects. For this digital data release, a land use and land cover classification dataset was derived from 2005 Landsat multispectral imagery for the Cold Lake Oil Sands area. The classification contains 13 classes: 0 - unclassified, 1 - exposed land/cut blocks/harvested areas, 2 - water bodies, 3 - transitional bare surfaces, 5 - mixed developed areas, 6 - developed areas, 7- shoal, 8 - shrub land, 9 - grassland, 10 - agriculture areas, 11 - coniferous forest, 12 - broad leaf forest, 13 - mixed forest, and 14- fire scar. These categories can be used as baseline data for planning, managing and monitoring surface infrastructure needs and impacts.

Plant health assessments and vegetation surveys are undertaken at both terrestrial and wetland sites in the oil sands region and in reference areas. Plant monitoring is being conducted for biodiversity and contaminants, and because plants are important both as wildlife habitat and as traditional-use species. Plant and soil samples are collected at monitoring sites near and at varying distances from oil sands operations. Plant tissues are being examined for levels of naphthenic acids (NAs), polycyclic aromatic hydrocarbons (PAHs) and heavy metals. Plant indicator species include Vaccinium spp. (blueberry), Ledum groenlandicum (Labrador tea), Arctostaphyllos uva-ursi (common bearberry), and Cornus canadensis (bunchberry). Soil samples from riparian banks and boreal forest locations are also collected for greenhouse studies. These experiments evaluate the uptake, distribution, and toxicity of the contaminants in plant tissue.