Evaluation of Tigris River Water Between Hammam Al-Alil and Al-Salamiyah in the South of Mosul City Using the Canadian Water Quality Index (CCME WQI) Model
Bibliographic record
Abstract
During this study, physical and chemical parameters were measured along the Tigris River in four locations extending between Hammam Al-Alil and Al-Salamiyah for the period of August 2024 to January 2025. This study aimed to evaluate the Tigris River water and its suitability for drinking and human use at sites 1, 2, 3, and 4. Physical, chemical, and biological parameters such as pH, air and water temperature, electrical conductivity (EC), total dissolved solids (TDS), total alkalinity, active phosphate (PO4), nitrite (NO2), chloride (Cl), active silica (SiO2), and total platelet count (TPC) were studied. Some of these parameters were tested in the field and others in the laboratory. Most of the tested parameters were found to be compatible with international and Iraqi drinking water specifications, except for the total platelet count (TPC) (especially at station 4), which was significantly high, reaching 48.16 * 102 cells/ml. Values of pH and water temperature ranged between 6.23- 7.31 and 7-24°C, respectively, while the electrical conductivity (EC) was 341.16 micro siemens/cm. The average value of total dissolved solids (TDS) was determined at 185.20mg/ L, and dissolved oxygen (DO) at 6.6mg/ L, whereas ranges of the silica value were detected between 1.00-2.1µg/ L; in addition, the effective phosphate rate was 0.11µg /L, and the nitrite value was 0.19µg/ L.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".