AN INTEGRATED WATER QUALITY ASSESSMENT OF THE IRANIAN PART OF THE ZAB RIVER USING CHEMICAL AND BIOLOGICAL INDICES
Bibliographic record
Abstract
The Zab River, which originates from the northwestern highlands of Piranshahr in Iran, plays an important role in economic development and human and ecological health in Iran and Iraq.The objective of this study is to evaluate the chemical and biological indices of water quality in the Iranian section of the river, providing insight into the region's environmental condition.Specifically, the Canadian Water Quality Index (CWQI) and Biological Monitoring Working Party (BMWP) index were utilized to evaluate the riverine water quality at one upstream station, two stations in mid-stream, and one station downstream between November 2020 and March 2021.According to the CWQI, the classification of river water ranges from "marginal" to "poor" for drinking and aquatic life purposes and "marginal" to "good" for irrigation purposes.Additionally, the macro-invertebrate families recorded at station 1 (upstream) indicate moderate to good water quality at this location.On the other hand, the species which were resistant to pollution were observed on station 4 (downstream).Furthermore, the water quality of the Zab River was classified as "moderate" based on the BMWP index.Notably, the BMWP index correlated with the CWQI for both irrigation and aquatic life indices (P<0.05),suggesting that the BMWP index is a valid tool for assessing the water quality of the Zab River.
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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 | 0.001 | 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".