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Record W3164822097

The Surface and Subsurface Distribution and Transport of Sodium within a Constructed Fen Peatland in a Post-mined Landscape in the Alberta Oil Sands Region

2021· dissertation· en· W3164822097 on OpenAlexfundaboutno aff
Suyuan Yang

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaSuncor Energy Incorporated
KeywordsPeatOil sandsDistribution (mathematics)Hydrology (agriculture)GeologyEnvironmental scienceSoil scienceGeographyGeomorphologyGeotechnical engineeringArchaeologyAsphaltMathematics
DOInot available

Abstract

fetched live from OpenAlex

Nikanotee Fen Watershed is an engineered upland-fen peatland system in the Athabasca Oil Sands Region constructed from salvaged peat and forest soils, overburden and tailings sand materials. Sodium-rich leachate from tailings sand has been shown to migrate to the fen system through groundwater, as expected, where it impacts fen vegetation health. The goal of this research is to quantify the spatial distribution of EC (electrical conductivity) and sodium (Na+) in ponded surface water and in the shallow subsurface zone (top 35 cm) of the fen peat deposit. Water samples collected from the ponded surface water and subsurface zone (10 and 30 cm below ground surface (bgs), with 5 and 10 cm intake, respectively) of the fen in 2019 showed that seasonal average Na+ concentration and EC were ~290 mg L-1 and ~2800 µS cm-1, respectively. The highest Na+ concentration and EC were generally found in the wettest part of the fen (southwest corner; average water table 16 cm above ground surface (ags)), and the lowest were found in the relatively dry (average water table 1.5 cm bgs) north-east corner near the drainage outlet of the fen. Na+ concentration and EC in ponded surface water were more responsive to precipitation dilution and evapotranspiration concentration, whereas in the subsurface zone, they were steadier, but generally increased from May to August. The change in Na+ mass measured between June 3rd and August 13th in ponded surface water and in the shallow subsurface (0-35 cm) of the fen (-66 kg) was smaller than that estimated from the sum of hydrologically driven fluxes (groundwater inflow and fen discharge; atmospheric fluxes were negligible), which was -179 kg (i.e., a net loss over this period). The 2019 season (May to August) was relatively wet and cool, with 264 mm precipitation input, 272 mm actual evapotranspiration output, 61 mm fen runoff output, 26 mm groundwater inflow, with average air temperature of 14 °C. The water budget showed a net loss, but storage change showed an increase, which could be the uncertainty that arises with groundwater underestimation. The precipitation-driven discharge controlled the mass efflux of Na+ from the system at an estimated seasonal average rate of 4 kg day-1 (total of 261 kg from June to August) with an average Na+ concentration of 229 ± 148 mg L-1. At the rate of Na+ discharge observed in 2019, the residence time of the original Na+ mass in the fen and upland system (27 tonnes) was estimated to be 36 frost-free seasons (183 days per year) post-construction under similar wet and cool weather conditions. Given the relatively small proportion of salt being flushed annually, elevated levels of salinity will likely be sustained for several decades. Na+ has reached the rooting zone, so salt-tolerant vegetation is an important attribute that should be targeted for newly constructed systems. Monitoring Na+ concentration and EC in discharge more frequently and for a longer period is recommended to refine the flushing timeframe prediction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.676

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.174
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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