Evaluation of Groundwater Quality Using WQI Models and Its Application to Plants Vulnerable to Ecological Stress
Bibliographic record
Abstract
This study focuses on the groundwater found at depths of 10-20 meters in the Amudarya district of the Republic of Karakalpakstan, within Uzbekistan. The primary objective of the research is to determine the suitability of this water for irrigating plants that are not resistant to environmental stress. Water samples were collected from 12 wells over the period of 2020-2024, and laboratory analyses were conducted based on four key indicators: Total Dissolved Solids (TDS), chloride (Cl⁻), potential of Hydrogen (pH), and nitrate (NO₃⁻). To assess the overall water quality, the “Weighted Arithmetic Water Quality Index (WA-WQI)” and the “Canadian Council of Ministers of the Environment (CCME)” models were used. According to the research findings, the overall quality of groundwater in the Amudarya district falls under the “Unsuitable for drinking and fish culture” category according to the WA-WQI model and the “poor” category according to the CCME WQI model, limiting its use for irrigating plants with low tolerance. The novelty of this study lies in the confirmation that groundwater is unsuitable for irrigating plants that are not resistant to environmental stress. However, it can be used for irrigating certain semi-tolerant and tolerant plant species.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".