Concentración de metales pesados en especies vegetales utilizadas para la remediación de relaves en compañía minera Colquirrumi
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT The research was conducted at the Colquirrumi mining unit located in the department of Cajamarca, province and district of Hualgayoc. In this place Compania Minera Colquirrumi closed up 04 deposits of mine tailings with an encapsulation technique, which consisted of ensuring its physical and chemical stability, hydrology of the place, runoff water management. The general objective of this thesis was to evaluate the degree of concentration of heavy metals in plant species (Ray Grass and Red Clover) that were cultivated in the closure of tailings deposits and plant species that grew in areas adjacent to tailings deposits. but that they were not exposed to the mining intervention. For this we identify the areas of remediated mine tailings and the areas not affected by the CMC mining activity, we determine the concentration of heavy metals (Copper, Lead and Zinc) in growing plants in tailings and in natural soils and we determine the translocation coefficient between the aerial part of the plant and roots. The results showed that the Lead and Zinc reported in the species that grew in the tailings had lower concentration of metals than those species that grew in natural soils, this would imply a good indicator of the type of closure made in the mining unit. The copper results showed that there is a higher concentration in the species that grew in the tailings (180 ppm), however, this concentration does not exceed the maximum permissible limits established in Australian or Canadian law. Finally, this work shows at a general level that the levels of metals that were found in the closure of mines are lower than those reported by natural soils, however, more research must be done.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it