Background Chemical Study of Relocated Hazaribagh Tannery Complex Environment, Savar
Bibliographic record
Abstract
A background study of the chemical constituents of some environmental samples - tannery complex sand, river water, river sediment and river fishes collected from the Relocated Hazaribagh Tannery Complex (RHTC) area, was carried out. In sand samples the mean values for pH, EC and soluble salts were found to be 8.49, 0.02 mS/cm and 11.72 mg/kg and the mean concentrations of elements K, Ca, Ti, Mn, Fe, Co, Zn, As, Pb, Rb and Sr were 94.8, 68.5, 16.6, 2.68, 129, 1.19, 0.23, 0.70, 0.32, 0.62 and 1.03 mg/kg, respectively. In river water samples the average concentrations of K, Ca, Mn, Fe, Zn, As, Rb, Sr, SO 4 -2, PO4 -3, Cl-1 and NO3 -1 were 13.09, 178, 0.41, 1.82, 0.073, 0.031, 0.010, 0.48, 0.057, 0.019, 15.6, 5.68 mg/l and the average values for pH, EC, DO, BOD, SS and DS were 8.02 and 0.35 mS/cm, 6.29, 4.21, 0.06, 0.36 mg/l, respectively. The elements K, Ca, Ti, Cr, Mn, Fe, Ni, Cu, Zn, As, Rb, Sr and Pb were measured in river sediment samples at the limit of 205, 155, 67, 6.02, 17.2, 798, 1.10, 1.24, 1.99, 0.31, 2.34, 2.63 and 0.35 mg/kg, respectively. In some locally available fishes like tengra, puti, baim, taki, shrimp, chanda and baila, only the elements K, Ca, Fe, Zn, Rb and Sr could be measured in all species of fishes in the range of 0.39 - 1.01, 0.68 - 2.29, 60.6 - 125, 46.3 - 174, 2.84 - 61.8 and 12.3 - 38.0% in mg/kg, respectively. In the light of the overall study, the chemical constituent levels of the environmental samples of the RHTC area at present are low and the environment is not yet contaminated. DOI: http://dx.doi.org/10.3329/jbas.v36i1.10919Journal of Bangladesh Academy of Sciences, Vol. 36, No. 1, 45-51, 2012
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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 | 0.001 | 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".