Spatio-Temporal Analysis of Physico-Chemical Characteristics of Hab River Water, Baluchistan, Pakistan
Bibliographic record
Abstract
This study reveals the water quality of Hab River which is the primary source of water supply for Hab City of Baluchistan Province, Pakistan and is also one of the major sources providing water to the mega city of Karachi. The quality of Hab River water is continuously declining owing to the accumulation of industrial effluents of Hab Trading Estate (HTE) and other domestic and agricultural waste. Altogether, 17 samples of water were collected from the study area in pre monsoon and post monsoon seasons and the Physico-chemical parameters like PH, TDS, Turbidity, Salinity, Ca, Mg, Na, K, Cl and SO4 were evaluated. Spatial analysis of PH, TDS, Salinity and Turbidity has also been carried out by conducting interpolation technique in GIS. This analysis spatially explains the differences in different parameters in pre and post-monsoon period. According to Quantitative Indicator (QI), most of the water bodies have crossed the maximum threshold limits defined by WHO guidelines and have entered in to impaired water category.
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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 | 0.001 |
| 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".