Spatiotemporal assessment of metal concentrations of pre-effluent estuarine sediments in a freshwater Kraft Pulp Mill tailings pond using paleolimnological methods, A'se'k, Pictou, Nova Scotia
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Bibliographic record
Abstract
Paleolimnological research at A'se'k (Boat Harbour), a former estuary in Pictou County, Nova Scotia that has been contaminated by effluent from a kraft pulp mill and other inputs over the past 50 years has focussed on understanding the spatiotemporal distribution of metals within pre-and post-disturbance sediments. The site was dammed in 1967, effectively converting it into a shallow freshwater lake (140 ha, 4 m max. depth). The lake bottom sediments within A'se'k reflect both estuarine and fresh water environments and can be broadly characterised as grey marine silt (~ 50% water content) that predates effluent input, which is overlain by black, organic-rich sediment (~ 90% water content). The contact between these two units is sharp and is present through out the basin. To better understand the geogenic contribution of toxic metals which will inform post-remediation management decisions, the marine sediment and sediment at nearby reference sites were analysed for the spatiotemporal distribution of As, Cd, Cr, Cu, Pb, Ti, Zn, Mo, and Ni, which were identified in previous studies as representative of impact at the site. The samples were collected using a gravity corer, were analysed for metal concentrations using pXRF techniques and distributions were modelled using QGIS. Results indicate that As, Cr, Cu Zn and Pb concentrations at both A'se'k and reference sites meet or exceed Interim Sediment Quality Guidelines (ISQG's) . Metal loads within the grey marine silt at A'se'k are similar to or higher than those at the reference sites. At both sites, metal concentrations show little stratigraphic variability. These data likely indicate that contaminants in the overlying organic sediment at A'se'k have not impacted the underlying sediment. This data will provide a baseline for assessment of the effectiveness of the remediation process and may be used in the determination of compliance during future remediation of the site.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it