Spatial Variation of Sediment Oxygen Demand in Athabasca River: Influence of Water Column Pollutants
Bibliographic record
Abstract
Sediment samples were collected from fifteen different locations along Athabasca River in an attempt to quantify the sediment contribution to oxygen demand. SOD rates along Athabasca River ranged from 0.09 g/m2⋅d to 0.71 g/m2⋅d near ambient temperature (<4°C). SOD rates generally increased downstream, however, inter-site differences were also influenced by the physical and chemical properties of the sediment. SOD rates were also higher below wastewater discharges and tributary confluences. Variation in SOD rates along the river system were positively correlated with water column concentration of TOC, TDP, Cholorphyll-α. Sediment characteristics such as grain size was a fundamental factor in determining SOD rates. Fine grained sediment in depositional areas tended to have higher SOD. The result also highlighted the importance of inclusion of sediment diagenesis and biochemical reactions inside sediment in water quality models that seek to represent water chemistry and particularly carbon, nitrogen, phosphorus and dissolved oxygen. Results from the Athabasca River suggest that SOD rates are a primary forcing function in large high order rivers that should be determined from the complex physical and chemical factors that control it rather than from water column nutrients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".