GEOCHEMISTRY OF THE RECENT SEDIMENTS FROM A LAKE IN THE VICINITY OF THE COAL-FIRED POWER PLANTS IN CENTRAL ALBERTA, CANADA
Bibliographic record
Abstract
This study investigates the geochemical characteristics of recent sediments and their porewaters from the Wabamun Lake in central Alberta (Canada) to elucidate the possible impact from coal utilization in this region. A multi-elemental analysis of recent sediments in conjunction with other inorganic and organic geochemical approaches are applied to determine the sources, quantity, and processes involved in the distribution of trace elements in the sediments. Concentration versus depth profiles in the sediments and the associated porewaters suggest that geochemical processes impact the mobility and vertical distribution of trace elements in these sediments. Although inputs of trace elements to ecosystems have clearly been elevated by emissions from the coal-fired power plants, diagenetic processes and natural inputs cannot be ignored in the distribution of lake sediments. A combination of various biogeochemical processes may control the distribution of elements in sediment and porewater. However, because of the alkalinity and eutrophic conditions of the studied lake, the Ca-OM fraction plays the most important role as substrate for trace elements. The higher input of calcareous fly ash in the Wabamun Lake, adjacent to the power plants, may cause scavenging of trace metals. The size of fly ash particles tends to decrease towards the more recent part of the sediment profile indicating the effect of particle emission control measures adopted by t he power plants. There is no evidence of fly ash particles in the sediments deposited prior to the commencement of coal -fired power plants in the study area (before 1956).
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".