Mobility and storage sinks for chromium and other metals in soils impacted by leather tannery wastes
Bibliographic record
Abstract
Leather tanneries around the world, including China, introduce chromium (Cr) and other metals into the environment. In China, the population pressure compels the utilization of every piece of available land for food production. In this study, we investigated the content, leachability and possible storage sinks for Cr and other metals in soils around facilities of leather industry in southern China. It was found that Cr in soils impacted by tannery can be as high as 2484 mg Cr kg⁻¹ soil, and the mean contents of other metals such as Zn (214 mg Zn kg⁻¹ soil), Cd (5.4 mg Cd kg⁻¹ soil), As (17 mg As kg⁻¹ soil) exceeded the soil quality standards and guidelines in China and Canada. Simulated leaching studies (i.e., Synthetic Precipitation Leaching Procedure) indicated that these soils could release Cr and other metals in concentrations above the environmental quality guidelines and standards for water in China and Canada. As a result, the mobility of metals from these soils can potentially contaminate both groundwater and surface water. We also found differential leachability of metals with soil properties such as total metal and total carbon contents. Principal component analysis of the total contents of 32 elements showed that the possible major sinks for Cr are organic matter and oxides of Fe/Mn/Al, while sulfates and phosphates are potential storage of Cd, Zn, Cu and Pb. The information obtained from this study can be valuable for the restoration of ecosystem functions (i.e., food production) in the study area.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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 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".