Endosulfan and g-HCH in the Arctic : an assessment of surface seawater concentrations and air-seawater exchange.
Bibliographic record
Abstract
Arctic seawater concentrations of two currently used pesticides, endosulfan and γ-HCH, were collated from a variety of cruises undertaken throughout the 1990s up to 2000 for different regions of the Arctic Ocean. Surface seawater concentrations for α- and β-endosulfan ranged from <0.1−8.8 (mean 2.3) pg/L and 0.1−7.8 (mean 1.5) pg/L, while γ-HCH concentrations were 100 fold higher than α-endosulfan, ranging between <0.70 and 894 (mean 250) pg/L. Geographical distributions for α-endosulfan revealed the highest concentrations in the western Arctic, specifically in the Bering and Chukchi Seas with lowest levels toward the central Arctic Ocean. In contrast, γ-HCH revealed higher concentrations toward the central Arctic Ocean, with additional high concentrations in the coastal regions near Barrow, Alaska and the White Sea in northwest Russia, respectively. A fugacity approach was employed to assess the net direction of air−water transfer of these two pesticides, using coupled seawater and air concentrations. For α-endosulfan, water−air fugacity ratios (FR) were all <1 indicating net deposition to all regions of the Arctic Ocean, with the lowest values (0.1−0.2) evident in the Canadian Archipelago. Given the uncertainty in the temperature-adjusted Henry's Law constant (factor 10), it is plausible that equilibrium may have been reached for this compound in the western fringes of the Arctic Ocean where the highest water concentrations were observed. Similarly, FR values for γ-HCH were generally <1 and in agreement with other separate studies, although, like α-endosulfan, net deposition predominated over the Canadian Archipelago. In the central and eastern regions of the Arctic Ocean, as well as in the two coastal areas of this study, the fugacity ratios for γ-HCH where 1 indicating conditions approaching equilibrium. The elevated water concentrations and higher FRs in these coastal areas support the assessment that riverine/coastal sources are important for this chemical, but less so for α-endosulfan for which air to water transfer during the ice-free summer months is likely to be the major contemporary source to the Arctic. It is recommended that archived extracts of river water be reanalyzed for α-endosulfan to confirm this.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 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 teacher head, 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".