Evaluation of the Geochemical Behavior and Environmental Risk of Metals in an Area Impacted by Industrial Waste in Queimados (RJ)
Bibliographic record
Abstract
Areas contaminated with metals may pose a serious risk to public health and the environment. At the end of the 1980s, an installment of temporary storage of hazardous industrial waste was available in the area of the Centro Tecnolgico de Residuos (CENTRES), in the municipality of Queimados, state of Rio de Janeiro. Inadequate management of these wastes has had a major environmental impact on the soil in the region. So, in 2009, soils of this company were sampled to be evaluated the mobility, toxicity, bioavailability and environmental risk of Cd, Cr, Cu, Ni, Pb and Zn, sequentially extracting for the geochemistry fractionation (BCR) and metals determinated by ICP OES. The sum of all the geochemical fractions presented a sample P1 is severely contaminated by Zn, and which as P5 and P5.1 samples are contaminated by Cu, Ni, Pb and Zn, that a sample P5.2 is contaminated by Ni, Pb and Zn and that the sample P6 has Ni concentrations exceed the value of industrial research recommended by the Brazilian legislation. Generally, Cd, Ni and Zn are shown as the most mobile metals, due to the enrichment of their concentrations in the soluble and exchangeable fraction of the soil (F1). Pb was only found to be highly soluble and exchangeable in soil samples that were severely contaminated with this metal. On the other hand, Cu and Cr showed to be less mobile, preferring to be adsorbed to the oxidizable fraction of the soil (F3) or to the residue (R), which contains a silica matrix and high crystalline oxyhydroxides. Finally, the risk assessment code (RAC) proved to be a limited measure in overestimating the environmental risk of Cd and Ni and underestimating that of Cu.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".