Seasonal Variability of Trace and Heavy Metals Concentration in Groundwater and its Quality for Drinking and Irrigation Purpose under Phuleli Canal Command Area (Sindh), Pakistan
Bibliographic record
Abstract
The availability of good quality groundwater is a serious problem not only for drinking purpose but also for agriculture production. Human health problems due to waterborne diseases are commonly reported in Phuleli Canal Command area. In this context, a study was conducted to find out the existence of heavy metals as well as trace elements in groundwater of Phuleli Canal Command area, (Sindh) Pakistan which were affected by seasonal variability. The groundwater samples were collected from different seven locations i.e. RD-0, RD-30, RD-50, RD-70, RD-90, RD-110 and RD-130 throughout four seasons (summer, autumn, winter, and spring). Results of analysis of groundwater samples showed that Fe, Cd, Cr and Pb concentration in groundwater was higher than WHO permissible limit while Cu and Mn concentrations were greater than FAO limit. Comparatively heavy metals (Cd, Cr, Pb and As) concentrations in groundwater were higher towards downstream reach in winter as compared to upstream reach. Regarding seasons, the values of these parameters decreased in autumn>spring>summer. The results also showed increasing trend of heavy metal concentrations towards downstream reach (RD 130>110>90>70>50>30>0). It was concluded that groundwater in Phuleli Canal Command area contains highly toxic metals above the permissible limits of WHO and FAO for human consumption and agricultural crops respectively. Hence, people using groundwater, directly or indirectly, at downstream reach of the canal are at health risk.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".