Organic chemicals of Arctic concern in Russian coastal seas
Bibliographic record
Abstract
Arctic ecosystems face significant threats from chemicals of global concern. Persistent organic pollutants (POPs) and polycyclic aromatic hydrocarbons (PAHs) have been consistently detected in the Arctic through decades of monitoring. POPs are known to bioaccumulate in food webs, and both POPs and PAHs are toxic posing risks to wildlife and human health. While regular monitoring activities have been implemented in most Arctic countries, information from the Russian Arctic is still limited. This review synthesizes the existing knowledge on environmental fate and distribution pathways of POPs, PAHs, and Chemicals Of Emerging Arctic Concern (CEACs) in the Russian Arctic. Except for recent studies on microplastics, data on CEACs remain very limited. Considering mass exchange processes between environmental compartments, including the cryosphere, this review focuses on the Russian Arctic coastal seas, where riverine transport and atmospheric deposition are the main sources of legacy POPs and PAHs. Northward-draining Russian Arctic rivers have been loading legacy POPs from historical sources to coastal seawater. Ongoing volatilization of low-molecular-weight PAHs from both sediments and seawater in the Russian Arctic coastal seas is likely to be accelerated with the ongoing warming climate. PAH and POPs stored in the cryosphere of the Russian Arctic are expected to be released with the ice/snow melting and permafrost thaws. However, more up-to-date information on these chemicals is needed to evaluate these processes and their significance for Arctic pollution.
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 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 | 0.001 | 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".