Integrated approach to quality indices and health risk assessment of water in the Bahr Yusuf Canal, Fayoum, Egypt
Bibliographic record
Abstract
Abstract The Bahr Yusuf Canal is the life artery of the Fayoum Province, which provides the province with two thirds of the freshwater quota from the Nile River. The present work was carried out to assess the suitability of water in the Bahr Yusuf Canal for various purposes and to assess the potential health risk associated with metal content. The results showed that the water quality of Bahr Yusuf was classified as poor and very poor for recreational use according to the Oregon WQI. On the other hand, the Aquatic Toxicity Index indicated the suitability of water for all fish species. The Canadian WQI and the Weighted Arithmetic WQI classified the canal water as good (WQI = 92), fair (WQI = 73) & marginal (WQI = 64) and excellent, poor to good & good to excellent for irrigation, drinking and aquatic life, respectively. Despite the significant contamination of water with heavy metals (as indicated by the Heavy Pollution Index, ranging from 104.44 to 206.32, from 16.81 to 38.48 and from 219.07 to 472.24 μg l−1), the Hazard Quotient (HQ) and the Hazard Index (HI) data indicate that water of Bahr Yusuf does not pose a human health risk through ingestion or dermal contact. In general, the study showed that water in the Bahr Yusuf Canal is characterized by different levels of pollution, which requires rapid and critical intervention by responsible authorities to prevent the discharge of different types of waste and further deterioration of the water quality during the lifetime of the channel and its subsequent rehabilitation.
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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 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| 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) | 0.001 | 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".