The influence of sources, source regions, and fate and transport processes on the occurrence of polychlorinated naphthalenes and coplanar polychlorinated biphenyls in urban and arctic environments
Bibliographic record
Abstract
Polychlorinated naphthalenes (PCNs) are a class of persistent organic pollutants (POPS) used prior to and in similar applications to polychlorinated biphenyls (PCBs). PCNs have a planar structure like non-/mono-ortho PCBs and chlorinated dioxins (PCDDs) resulting in similar biomagnification properties and modes of toxicity. PCNs are proposed additions to the list of restricted and banned substances under the UNECE-Long-Range Transboundary Atmospheric Pollutants (LRTAP)-POPs Protocol. Research conducted as part of this thesis has improved our knowledge of the environmental occurrence and behaviour of PCNs and non-/mono- ortho PCBs from an atmospheric perspective in the Great Lakes and Arctic regions of North America. Analytical methods were improved by using a cyclodextrin-based GC column to resolve coeluting penta- and hexaCNs which have varying degrees of toxicity and which bioaccumulate. Elevated PCN levels were observed in air of urban areas relative to over the Great Lakes and in the Arctic. Current combustion sources contributed up to 55% of the PCNs in air in north Toronto while evaporative emissions were the predominant source in the downtown. Over-lake PCN concentrations were highest for L. Ontario compared to L. Huron, L. Superior, and the upper St. Lawrence River and estimates of air-water gas exchange showed triCNs volatilize from L. Ontario while tetraCNs are near equilibrium. PCNs in air collected at arctic monitoring stations at Alert, NU, Tagish, YK, and Dunai, Russia, varied seasonally with higher levels in winter coinciding with transport of air masses from Eurasia and were correlated with anthropogenic sulfate concentrations. At Resolute, NU, PCN and non-/mono-ortho PCB concentrations were temperature-dependent, suggesting regional or local sources influence levels. PCNs contributed as much or more dioxin toxic equivalents than non-/mono-ortho PCBs in urban and arctic air. PCNs were higher in beluga whale than ringed seal blubber collected near Baffin Island. The occurrence of PCNs in arctic marine mammals demonstrates their persistence and ability to accumulate through the food web. These results strengthen the argument for the addition of PCNs to the UNECE POPS Protocol by providing monitoring data from remote regions and by illustrating the contributions due current sources in addition to past-use evaporative sources.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".