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Hourly lake level data across the Peace-Athabasca Delta (Canada) in 2018 and 2019
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Neary, Laura; Wolfe, Brent; Hall, Roland — 2021-10-21 This is the dataset associated with the publication “A new lake classification scheme for the Peace-Athabasca Delta (Canada) characterizes hydrological processes that cause lake-level variation” published in <i>Journal of Hydrology: Regional Studies</i> (2021). Included are three data files:<p><ol> <li> hourly lake level measurements at 48 sites in 2018</li> <li> hourly lake level measurements at 53 sites in 2019</li> <li> geographical coordinates for these sites, all located within the Peace-Athabasca Delta in northeastern Alberta, Canada</li></ol> Raw data collected using HOBO Water Level Data Loggers were converted from water pressure readings (unit: psi) to water depths (unit: meters) using the Barometric Compensation Assistant in the HOBOware Pro software program. The specified density of water was derived from the temperature channel (assuming freshwater) and a barometric datafile (recorded using a data logger deployed in the field that measured atmospheric temperature and pressure), which was used to convert water pressure readings to water depths. See associated publication for more detailed methods on the deployment of these instruments.
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Data for: Evaluating spatiotemporal patterns of arsenic, antimony, and lead deposition from legacy gold mine emissions using lake sediment records
Borealis
Jasiak, Izabela; Wolfe, Brent; Hall, Roland; Venkiteswaran, Jason — 2021-09-09 In the absence of long-term environmental monitoring prior to and during resource development, identifying the extent of pollution is challenging but important for assessing risks to ecosystem health. Legacy pollution from Giant Mine in the Northwest Territories is a concern because while gold smelting operations ceased in the late 1990s, the fine, toxic dust arsenic trioxide dispersed into the atmosphere, potentially creating repositories in the surrounding landscape. Lake water surveys and the sampling of surficial sediment have identified a confined emissions footprint within a 30-km radius of the mine. However, these measurements may not capture the range of aerial deposition of emissions from the mine, particularly peak emissions released during the 1950s. Paleolimnological studies from far-field locations have shown evidence of arsenic enrichment coinciding with the timing of peak mine emissions during the 1950s, suggesting further research is needed to characterize stores of legacy metals derived from Giant Mine pollution.<p><p>To address this need, as part of the Sub-Arctic Metal Mobility Study, temporal patterns of metals (arsenic, antimony, and lead) deposition and hydrological conditions were reconstructed from sediment cores collected from eight lakes along an 80-km transect northwest of Yellowknife, following the prevailing wind direction. Two sediment cores were collected from each lake by using a Uwitec gravity corer fitted with PVC tubes (86-mm internal diameter). These lake sediment cores provide further characterization of the Giant Mine emission footprint, and the depositional and post-depositional history of arsenic and other metals in sub-arctic lakes and their catchments.
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Isotope data and associated attributes for 25 thermokarst lakes along the Inuvik – Tuktoyaktuk Highway, 2018
Borealis
Wilcox, Evan; Wolfe, Brent; Marsh, Philip — 2022-05-02 This dataset contains water isotope concentrations measured from 25 lakes at five time points in 2018, along with snowpack and rainfall isotope concentrations from 2018. The lakes spanned a ~70km stretch of the Inuvik to Tuktoyaktuk Highway (ITH). Rainfall samples were collected in Inuvik, while snowpack samples were collected within the vicinity of the Trail Valley Creek Research Station. The dataset also contains lake and watershed characteristics for the 25 lakes that were sampled for water isotope analysis. Lake-specific properties include surface area, watershed position, depth, latitude, longitude, and elevation, while watershed-specific properties include surface area, average hillslope angle, drainage density, and ice-wedge polygon coverage. Watersheds were delineated using a 2-metre resolution digital elevation model and the D8 algorithm. Within each watershed, the areas of ice-wedge polygons were identified visually from satellite imagery and digitized manually. Drainage density was calculated as the length of all flowpaths with a contributing area greater than 5000 m2, and then divided by the total area of the watershed.

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(Author: Wolfe, Brent)

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