Persistent organic pollutants in the recent soils in the south of the Arkhangelsk Region
Bibliographic record
Abstract
The paper presents the results of observations over the concentration levels and distribution patterns of pentachlorophenol (PCP) and hexachlorobenzene (HCB) in the recent soils in the south of the Arkhangelsk region after intensive long-term use of pentachlorophenol sodium salt (Na-PCP) as a commercial chemical in the past. In 2012, seventeen years after the termination of Na-PCP use as wood-preservation agent (biocide), the presence of PCP and HCB classified as persistent organic pollutants was determined in soils of the industrial site of the shutdown timber mill. The tendencies towards a decrease in the residual amounts of toxic organochlorine components of Na-PCP were revealed. At the same time, soil pollution with HCB remained at a high levels, several times higher than the health-based exposure limit (approximate permissible concentration, Rospotrebnadzor, Russia), while the concentrations of PCP for the most part already complied to the approved quantitative national regulations (human health soil quality guideline, CCME, Canada; regional screening level, US EPA). It has been shown that residual amounts of biocide impurity component (HCB) in soils repeatedly (by a factor of 4–47) exceed the main component (PCP) concentrations, determining the role of HCB as the high priority soil pollutant at present. The presence of PCP and HCB in the soils of the residential settlement area suggests that recent soils of the industrial site of the timber mill present an active secondary source of persistent organic pollutants to the environment, with the threat of its distribution as a result of local, regional and global transport in the long-term future.
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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".