Water Quality of the Tigris River in Rashidieh Area - North of Mosul - Iraq Using the Canadian Indicator
Bibliographic record
Abstract
The city of Mosul contains a single water source, which represents the main artery of this city, namely the Tigris River. It was necessary to study and evaluate the quality of water, especially in the Rashidieh area since it represents the beginning of the entry of the Tigris River from the northern region, as well as addressing the extent of pollution in it and the extent of water susceptibility to self-purification.Water samples were collected from the Rashidieh area, and five sites were selected along the course of the Tigris River passing within that area. The results of the current study showed that the average temperature ranged between 10.25-14.25°C, and some indicators were measured and the highest value of the pH function was recorded (2.4) at the second site and the lowest value was recorded (0.08) at site 5. Moreover, the average values of TDS, DO, T.H, PO3³⁻, NO3- and Cl- ranged from 253.7–338.7, 5.29-8.46,115.6-254.8, 0.248–5.26, 1.73-18.08, and 30.5–56mg/l, respectively, and most of the values were within the permissible limits and fall within the Iraqi and international standards, except for the acid function, dissolved oxygen and phosphate that recorded values exceeding the permissible limits, especially in the Rashidiya estuary area, the second site, which greatly and significantly affected the Tigris River. Therefore, the sites were classified based on the values of the Canadian index, and the values ranged from good for the Tigris River to poor quality for the Rashidiya estuary and questionable for site 3, while site 4 and 5 were classified as acceptable, and thus the ability of the Tigris River to self-purify was not at the required level.
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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 | 0.001 | 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) | 0.001 | 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".