Assessment of Some Physico-Chemical Parameters and Heavy Metals in The Greater Zab River Path from Bekhma to Al Guwayr District in Erbil Province-KRI.
Bibliographic record
Abstract
Fifteen physico-chemical parameters with heavy metals were evaluated from the Greater Zab River path within Erbil province in twelve sites over a period of 10 months (from April 2021 to January 2022). In the field, Air and water temperature measured by thermometer, Electrical conductivity, total dissolved solids, potential of hydrogen measured by portable EC and pH meter, While, the laboratory measurement included total hardness, calcium ion, magnesium ion, total alkalinity, chloride measured by titration method, nitrate, nitrite, phosphorus and sulfate measured by spectrophotometric method. Water Quality calculated by using Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI). Heavy metals were analyzed by (AAS Perkins Elmer USA 1100D). The results of the present study shows that electrical conductivity, total alkalinity and phosphorus mean values were higher than the limits of WHO standards, While all remaining mean parameters were found in agreement for drinking purposes for WHO standards. The studied sites were classified under the hard waters. CCME WQI status for all sites located under the category of “Fair” (65-79) except for site 12 was located under the category of “Marginal” (45-64) water quality. The decreasing trend of heavy metals were observed in the water as Si > Fe > Cr > Zn > Mn > Pb > Ni > Co > Cu > Cd.
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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".