Ecological Risk Assessment of Contaminants of Emerging Concern inCoastal Waters of Sharjah, United Arab Emirates
Bibliographic record
Abstract
The current study assesses the ecological risks of contaminants of emerging concern in the coastal aquatic environment of Sharjah, United Arab Emirates receiving treated effluents from wastewater treatment plants.Twenty-one contaminants were detected in wastewater effluents, 23 in seawater, and 22 in sediments at concentrations varying between trace amounts to 1782 ng L -1 , (wastewater), 236.10 ng L -1 (seawater), and 60.15 ng g -1 (sediments).Imidacloprid, thiabendazole, and acetaminophen were identified as the most prevalent compounds in effluents, seawater, and sediments, respectively.Ecological risk assessment was conducted using the risk quotient methodology and for various trophic levels, including algae, crustacea (Daphnia), and fish.Most contaminants posed low risks; however, sulphathiazole presented a medium risk, and imidacloprid, ofloxacin, and isoproturon exhibited a high risk to aquatic life, with imidacloprid showing the highest risk quotient.Recorded outcomes reveal the priority contaminants of emerging concern as well as suggest the need for enhanced wastewater treatment processes to reduce the ecological risks associated with such emerging contaminants.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".