Monitoring of Metal Dispersion in Kumaon Hills (INDIA) Through Active Monitoring Using Moss
Bibliographic record
Abstract
Bryophytes have been used as a terrestrial bio-monitors and bio-indicators of air pollution and are recognized as more sensitive to pollution than other plants. In present study common moss species, i.e. Rhodobryumgiganteum (Schwaegr) Par., Rhynchostegielladivaricatifolia (Renauld&Cardot), PohliaelongataHedw, Racomitriumcrispulum (Hook. f. et Wils.), Pleuroziumshcreberi, Hylocomiumsplendens, Hypnumcupressiforme, Brachytheciumrutabulum, Homalotheciumsericeum, Racomitriumcrispulum were collected from monitoring sites and were validated for their tolerance potential by measuring chlorophyll fluorescence signals. Amongst above species validated for tolerance, moss Racomitriumcrispulum (Hook. f. et Wils.) is inducted for monitoring program. Collected samples were air dried, then cleaned and digested. The levels of Zn, Cu, Cd and Pb have been determined in transplants of the moss Racomitriumcrispulum (Hook. f. et Wils.) from the area of Almora, Nainital and Pithoragarh of Kumaon hills. High metallic load was measured in moss harvested from locations in proximity of higher traffic density areas, which is attributed to the enhanced tourism during summer and monsoon season. In rural areas high value of Zn and, Cu attributes to their use in fertilizers. Positive significant correlations were obtained between Pb-Zn and Zn-Cu that suggest a common origin of these metals. Elemental concentration in moss Racomitriumcrispulum was in order Zn>Pb ~ Cu> Cd in summer while, same was Zn> Cu >Pb> Cd in winter season and in rain Zn> Cu >Pb> Cd that reflects atmospheric trace elemental load. Bioaccumulation ability of this moss was evaluated statistically using DMR test and cartographically presented on contour maps obtained from SURFER program.
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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 | 0.000 | 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 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".