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Monitor / Assess Substance and Waste Levels in Air, Water, Soil, Biota

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    Long-term freshwater quality monitoring data for Rainy River / Lake of the Woods Watershed for the past 15 years or longer for nutrients, metals, major ions, and other physical-chemical variables are included in this dataset. Monitoring is conducted by Environment and Climate Change Canada (ECCC) to assess water quality status and long-term trends, detect emerging issues, establish water quality guidelines and track the effectiveness of remedial measures and regulatory decisions. The information informs and supports the Fresh Water Action Plan.

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    Wild fish community data (species, abundance, diversity, length, weight) for 2013 and 2019 are now available for tributaries of the Athabasca River (rivers Steepbank, Ells, Firebag, High Hills, Dunkirk, Horse, Muskeg, Tar and Calumet) and 2017 data for rivers and creeks adjacent to Christina Lake (Christina River, Sunday Creek, Birch Creek, Sawbones Creek, Jackfish Creek and Unnamed Creek). The composition and diversity of the fish communities in these waterbodies have been evaluated over time to identify changes in the presence and abundance of fish species in these waterbodies adjacent to SAGD oil sands mining activity and at sites that are outside of the Athabasca Oil Sands deposit and not influenced by mining activities. Not all waterbodies are adjacent to mining activities and these provide some information as to the natural variability and stability of these fish communities over time. This involved establishing baseline conditions in fish communities in the fall of 2013, 2017 and 2019. This baseline data has assisted in tracking changes in fish communities of these waterbodies over time. Fish community assessments (non-lethal sampling) were carried out in a reach of river using a Smith-Root 12B backpack, Smith-Root LR-24 backpack and or seine at the sites identified in Section 2.3. Length, weight, species identification, and external assessment were performed on fish collected. Fish were then returned to the water at the site of capture. This fish community assessment work commenced September 17th to 27th, 2013, October 3rd to 8th, 2017 and September 24th to October 2nd, 2019. This monitoring activity compliments and supports the Wild Fish Health program.

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    The river bed sediments in the Lower Athabasca are known to shift and migrate downstream. Numerical modelling of water quantity and quality (including sediments) requires accurate river channel cross-sectional geometry within the area of study. Such cross-sectional geometry prior to 2012 was limited for the Lower Athabasca River restricting modelling accuracy and efficiency. As such, in order to better understand the bed sediment dynamics of the lower Athabasca River and to support model development (e.g., calibration/validation of sediment/bitumen erosion/transport/deposition), high resolution swath bathymetry data were collected form bank to bank during open water seasons (2012-2014) covering approximately 115 km from Fort McMurray to the mouth of the Firebag River. Data are presented in 2km stretches of the river and are represented by 1) a kmz file which gives a visual representation of the coverage of the file, and 2) a detailed grid file which contains the full x,y,z coordinates at 0.5m resolution. While very useful for modelling, it should be realized that given the continually changing form of the lower Athabasca bed geometry, the data provided is a “snap shot in time” and is not reflective of the current condition. Further, and as related, this information is not for navigation purposes.

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    Wild fish health data (length, weight, gonad size, etc.) are now available for trout perch collected from the Athabasca and Peace Rivers; white sucker collected from the Athabasca River; longnose sucker collected from the Peace River; slimy sculpin collected from the Steepbank River; lake chub from Alice Creek, the Ells and Dover Rivers; and longnose dace from the Mackay River. Contaminants data available for walleye collected from the Athabasca and Peace Rivers. For each of these data sets, upstream reference areas are provided for comparison to downstream developed sites. Reference data are currently being evaluated for variability between years to develop triggers, and these triggers are essential to eventually quantify potential effects at exposed sites. Using existing critical effect sizes developed in the Environmental Effects Monitoring programs for pulp and paper and metal mining effluents, condition endpoints in white sucker were increased within the deposit. Slimy sculpin condition and reproductive endpoints are also exceeding effect sizes downstream of development sites. This data is now being used to predict future fish health endpoints within sites, between sites and relative to reference variability to help assess change in fish health.

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    Water level and discharge data are available from Water Survey of Canada’s Hydrometric Network. The Water Survey of Canada (WSC) is the national authority responsible for the collection, interpretation and dissemination of standardized water resource data and information in Canada. In partnership with the provinces, territories and other agencies, WSC operates over 2500 active hydrometric gauges across the country, maintains an archive of historical information for over 7600 stations and provides access to near real-time (water level and stream flow) provisional data at over 1700 locations in Canada.

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    Oil Sands Sediment Exposures of Embryo-larval Fathead Minnows Dataset contains laboratory-studied fathead minnow egg and larval survival rates when exposed to sediments collected from 18 sites in the Athabasca watershed (2010-2014). A controlled laboratory study examined the impacts on fathead minnow eggs and larval development when exposed to collected sediments at concentrations of 1, 5 and/or 25 g/L. Sediments and water were renewed daily, and eggs were assessed as they hatched (in about 5 days), and as the larval fish grew to 8-9 days post hatch (dph), and 15-16 dph. The data in the file present the mean survival (and standard deviation). Two sediment sites caused decreased survival of fathead minnow fry: The Ells River lower site, and the Steepbank River Lower site. These data show that sediment from these sites can affect larval fish survival in the lab. The next steps are to compare these findings to the health data from wild fish collected from these same tributary sites. Toxicity Testing of Groundwater near the Oil Sands Development Dataset contains toxicity studies of groundwaters collected near the Athabasca and Ells rivers. Groundwaters were collected in the summer of 2013 from 4 sites below the riverbeds at depths of 0.5 to 1 metre. Sites were chosen to represent groundwaters close to oil sands tailings ponds and further from tailings ponds and mining activities. Under controlled laboratory conditions, fathead minnow eggs were exposed for 5 days (until hatch) to the groundwaters at standard dilution concentrations of 6, 12, 25, 50, and 100% of the groundwater sample to compare egg and larval fish survival. The data presents the average survival until hatch of 3 repeated exposures (and standard deviation) and 9 repeated exposures for controls. Some groundwater is toxic to minnows and some is not. No correlations were found between toxicity and proximity to a tailings pond. Assessing Toxicity of Oil Sands Related Substances Laboratory fish were exposed to melted snow from sites located close to oil sands mining and upgrading facilities and from sites far away from mining activities to assess the toxicity of substances found in the snow. In addition, river waters, bed sediments, suspended sediments, groundwater and atmospheric depositional samples (pre-melt snow collections) were also tested for toxicity. Fish exposed to undiluted snowmelt showed biological effects. Fish exposed to river water from the region collected during snowmelt conditions showed no effects.

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    Water Quality Monitoring on Tributaries in the Athabasca River Oil Sands Region Ells River (EL1, ELLS RIFF 2, ELLS RIFF5 [2012-2015]) Mackay River (MA1 [2012-2015], MA2 [2013-2015]) Steepbank River (STB RIFF1, STB WSC, STB RIFF7, STB RIFF10 [2012-2015]) Firebag River (FI1, FI WSC [2012-2015]) Muskeg River (MU1 [2012-2015]), MU6 [2012-2015]), MU7 [2012]) High Hills River (HIHI1 [2013-2015]) Water quality of tributaries in the Athabasca River oil sands region is heavily influenced by the presence of the underlying Cretaceous bedrock, which is comprised of shale, sandstone and limestone. The waters are moderately hard (average alkalinity of 114 mg l-1 CaCO3) because of their mineral content, particularly magnesium (average 8.62 mg l-1), calcium (average 28.06 mg l-1) and bicarbonate (138.53 mg l-1). This mineral content results in an average conductivity of 245 +/- 4 µS cm-1 and total dissolved solids concentration of 140 +/- 2 ppm. Concentrations of nitrogen and phosphorus (indicators of nutrient status) are typically low to moderate, averaging 0.14 mg l-1 total phosphorus, 0.03 mg l-1 total dissolved phosphorus, 0.92 mg l-1 total nitrogen, 0.09 mg l-1 nitrogen as nitrate+nitrite, and 0.04 mg l-1 nitrogen as total ammonia. Seasonal variation for the majority of water quality constituents within the Athabasca tributaries can be strong and is highly reflective of hydrological discharge (i.e., highest concentrations typically occur during snowmelt periods, especially for parameters that are bound to particulate matter). Spatial variation of parameters within tributaries general showed an increasing trend from upstream of development to samples collected downstream of development (near mouth of a tributary). Of the 45 water quality constituents (physical characteristics, major ions, metals, metalloids, selenium) and 52 Polycyclic Aromatic Compounds (PACs) analyzed, 28 have Guidelines for the Protection of Aquatic Life (Canadian Council of Ministers of the Environment – CCME). Only a few parameters were classified with frequent exceedances (i.e., >10% of of the approximately 1430 samples): total iron, 99% of all samples; total aluminum, 61%; total suspended solids, 39%; and total copper, 17%. All measurements of total mercury were below the CCME guideline; only pyrene from the PACs showed occasional exceedances (2% of samples) for established guidelines. Exceedances of guidelines are not uncommon in many river systems within and outside of the Oil Sands region and, in general, are associated with high flow events when suspended solids and contaminant loads are the greatest. High concentrations of suspended sediment (measured as total suspended solids) were observed during high flow events, such as occur during snowmelt and summer rainfall events. The high percentage of exceedances for iron was expected as these waters are known to have naturally-occurring high concentrations of iron. Mercury in Tributaries This data set includes river water concentrations of total mercury (THg; all forms of mercury in a sample) and methyl mercury (MeHg; the form of mercury that bioaccumulates through food webs) in five Athabasca River tributaries (Ells, Steepbank, Firebag, Muskeg and MacKay rivers). No samples exceeded the Canadian Council of Ministers of the Environment guidelines for THg and MeHg.

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    Communities in east Hudson Bay and James Bay are concerned about ecosystem changes observed in recent decades, particularly related to sea-ice conditions, and also about potential impacts of contaminants from long-range atmospheric transport and regional human activities. The Arctic Eider Society’s Community-Driven Research Network (CDRN) was established to measure and better understand large-scale cumulative environmental impacts in east Hudson Bay and James Bay. Building on CDRN collaborations and activities in five communities (Sanikiluaq, Kuujjuaraapik, Inukjuak, Umiujaq, Chisasibi), this Northern Contaminants Program (NCP) community-based project generated new information on metal bioaccumulation that provide a regionally integrated perspective on metal exposure in the marine environment of east Hudson Bay and James Bay.

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    The Canadian Aquatic Biomonitoring Network (CABIN) is an aquatic biomonitoring program for assessing the health of fresh water ecosystems in Canada. Benthic macroinvertebrates are collected at a site location and their counts are used as an indicator of the health of that water body. CABIN is based on the network of networks approach that promotes inter-agency collaboration and data-sharing to achieve consistent and comparable reporting on fresh water quality and aquatic ecosystem conditions in Canada. The program is maintained by Environment and Climate Change Canada (ECCC) to support the collection, assessment, reporting and distribution of biological monitoring information. A set of nationally standardized CABIN protocols are used for field collection, laboratory work, and analysis of biological monitoring data. A training program is available to certify participants in the standard protocols. There are two types of sites in the CABIN database (reference and test). Reference sites represent habitats that are closest to “natural” before any human impact. The data from reference sites are used to create reference models that CABIN partners use to evaluate their test sites in an approach known as the Reference Condition Approach (RCA). Using the RCA models, CABIN partners match their test sites to groups of reference sites on similar habitats and compare the observed macroinvertebrate communities. The extent of the differences between the test site communities and the reference site communities allows CABIN partners to estimate the severity of the impacts at those locations. CABIN samples have been collected since 1987 and are organized in the database by study (partner project). The data is delineated by the 11 major drainage areas (MDA) found in Canada and each one has a corresponding study, habitat and benthic invertebrate data file. Links to auxiliary water quality data are provided when available. Visits may be conducted at the same location over time with repeat site visits being identified by identical study name / site code with different dates. All data collected by the federal government is available on Open Data and more partners are adding their data continually. The csv files are updated monthly. Contact the CABIN study authority to request permission to access non open data.

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    Atmospheric Contaminant Deposition using Snowpack The data set includes snow samples (metals, water chemistry and polycyclic aromatic hydrocarbons [PAHs]). Data from 2012-2014 snowpack samples collected from ~90-130 sites located varying distances from the major oil sands development area show deposition patterns and levels consistent with earlier studies carried out in 2008 (Kelly et al. PNAS, 2009 and 2010). As with earlier findings, concentrations of numerous metals, water chemistry parameters (Ni, Pb, Zn, V, La, Al, Fe, total Hg, methyl Hg, total suspended solids [TSS], particulate organic carbon [POC], particulate organic nitrogen [PON], total phosphorus [TP]) and PAHs decrease with distance from the major mining extraction and upgrading facilities. Canadian Council of Ministers of the Environment (CCME) guidelines do not exist for snow.