Study on the effects of new developed biochar and sludge composite materials on copper and lead contaminated soil and its remediation mechanism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this study, composite repair material was obtained by composting and fermentation of straw biochar and sludge according to the mass ratio of 1:4. The remediation effect of its composite remediation materials on heavy metals copper (Cu) and lead (Pb) in soil was investigated. The characterization results of the composite remediation material showed that the material had rich pore structure, high specific surface area and rich functional groups such as hydroxyl, carbonyl and carboxyl groups, and had high adsorption capacity for heavy metals in contaminated soil. The passivation effect of Cu and Pb in contaminated soil was investigated under different application amount (3%, 5%) and passivation time (15d, 60d). The changes of Cu and Pb content, availability and morphology distribution in the soil before and after the addition of remediation materials were analyzed. The results showed that the passivation effect of Cu and Pb in soil was significantly enhanced with increasing passivation time and application amount. In conclusion, the addition of remediation materials effectively reduced the content and effectiveness of heavy metals in the soil and promoted the change of Cu and Pb morphology in the heavy metal-contaminated soil, thus realizing the remediation of the heavy metal-contaminated soil.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 it