Concentrations and environmental risk of chlorothalonil in air near potato fields in Prince Edward Island, Canada
Bibliographic record
Abstract
BACKGROUND: Chlorothalonil is used extensively in Prince Edward Island for the control of blight on potatoes, and has been measured throughout summer months in ambient air monitoring studies. This study was designed to characterize near-field drift of chlorothalonil, and to evaluate how exposure to measured air concentrations might impact upon local wildlife species. RESULTS: Air samples were collected using high-volume samplers at three distances downwind of sprayed potato fields, and at four different time intervals. Chlorothalonil was detected in 73% of prespray samples (from < 0.013 to 0.440 µg m(-3)). The mean air concentration 0 m away from the field edge during spray was 5.8 µg m(-3), which was 7-41 times higher than concentrations measured in similar studies. Air concentrations were found to decline exponentially both with distance and time, although 0 m and 30 m concentrations at 2 h post-spray remained significantly (3 times) higher than prespray (P < 0.05). Wind speed was not found to be significantly correlated with air concentration; however, increases in temperature were found to be significantly correlated with increases in air concentrations at all sample times, at 0 m and 30 m distances. CONCLUSION: Frequent prespray detections and high post-spray concentrations suggest that both chronic and acute exposures to non-target species are occurring; however, risk calculations suggest a relatively low risk of effects to representative species. One measurement showed that a human-health-based short-term guideline had been exceeded, indicating that potential impacts to humans from chlorothalonil under current application conditions cannot be discounted.
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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".