ASSESSMENT OF THE WATER QUALITY INDEX OF EUPHRATES RIVER BETWEEN HEET AND RAMADI CITIES,
Bibliographic record
Abstract
The Water Quality Index (WQI) of Euphrates river between Heet and Ramadi cities was carried out using various water quality parameter from November 2008 to June 2009. Twelve water quality parameters namely Ph, Dissolved Oxygen (DO) , Biochemical Oxygen Demand (BOD) , Turbidity, Total Dissolved Salts (TDS) , Total Suspended Solids (TSS) , Bicarbonate (HCO3-) , Sulfate ( SO4 = ), Phosphate (PO4 = ) , Total Nitrogen (TN) , Chloride ( Cl-) and Fecal Coliform (FC) were considered to compute Water Quality Index (WQI) based on the Canadian council of Ministers of the Environment Water Quality Index methodology (CCME WQI). We found that the water quality of Euphrates river in the study area is mostly rated as ״ marginal ״ ( CCME WQI is 45.17) for over all drinking aquatic uses in the study period. Generally, the water quality was ״ marginal ״ at the upstream and ״ poor ״ at the downstream throughout the study period. The deterioration of water quality in Euphrates river can be attributed to natural and anthropogenic sources.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".