Evaluation of Hydrochemistry of Kirkuk Irrigation Project, Kirkuk, Northern Iraq
Bibliographic record
Abstract
The irrigation project is considered one of the important projects in Iraq, as the study area is one of the important agricultural areas, which mostly depends on groundwater wells as well as surface water from the Kirkuk Irrigation Project. This study aims to estimate the irrigation project for drinking, agriculture, and irrigation purposes. (46) Water samples were collected in humid and dry seasons in (2023-2024) and analyzed; several methods and classifications were used, including comparison with Canadian standards, Piper hydrochemical facies classification, and classifications for irrigation purposes. The major and minor elements and heavy metals were analyzed. The physical properties were measured, including pH, electrical conductivity, total dissolved solids, turbidity, and total hardness. It indicates that the Piper scheme of the hydrochemical facies is calcium-magnesium-bicarbonate. The results show, according to the Canadian water quality index, that the water is poor and unsuitable for human use, and does not have an excellent water condition due to turbidity and calcium concentration, pH, and magnesium values exceeding the permissible limit according to WHO and IQS, so it is considered unsafe for drinking. The results show, according to the classifications of SAR, MH, %Na, SP, salinity hazard, and Wilcox, that the study area is generally suitable and good for irrigation and agricultural uses for most soils and agricultural crops. Analyzed Pearson’s correlations in some of the studied parameters in both seasons reveals that the correlation coefficient is strong and significant positive and negative.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".