Assessment of Soil Contamination due to Heavy Metals: A Case Study of Rakhial Industrial Area
Bibliographic record
Abstract
The purpose of this study is to investigate the current status of heavy metal soil pollution in one of the cradles of industry in India, the Rakhial Industrial area in the city of Ahmedabad, Twenty-five soil samples were collected from the top 5 cm of the soil layer and were analyzed for heavy metal concentrations of Cu, Ni, Zn and Cr. The data reveal a remarkable variation in heavy metal concentration among the sampled soils; the mean concentrations of Cu, Ni, Zn and Cr were compared with the standards of different countries like Canada, Australia, Norway, Taiwan etc. for Maximum allowable limits of heavy metals in soil. Soil samples were also analyzed to determine fixed metals present in soils if any and results showed that all metals were fixed solids and do not get carried away with rain water. GIS Mapping of study area for each metal will be done to demonstrate the distribution of heavy metals concentration.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".