Sorption of Cd<sup>2+</sup>, K<sup>+</sup>, F<sup></sup>, and Cl<sup></sup> on some tropical soils
Bibliographic record
Abstract
The potential for the retention of K+, Cd2+, F, and Cl by lateritic soils from the Botucatu (an important sandy aquifer in the southeastern part of Brazil) and Serra Geral (a clayey material) formations and three mixtures of these soils is examined. Batch equilibrium results are presented for both single salt (CdCl2 and KF) and multiple salt (CdCl2 + KF) solutions. The soil retention parameters are obtained by fitting sorption models (linear, Freundlich, and Langmuir) to the experimental isotherm plots using linear and nonlinear regression analyses. The results show that the so called varying soil:solution ratio isotherms (VSI) are in fact less variant in terms of pH than constant soil:solution isotherms (CSI). However, because of restrictions related to the VSI approach and the "soil solution ratio effect," the CSI approach is considered to be a more reasonable way of constructing sorption isotherms. It is shown that under certain conditions, the Cl anion can be sorbed while for others it is not sorbed. Sorption was observed for F and K+. The sorption of Cd2+ is also shown to be highly sensitive to leachate chemistry. It is shown that a knowledge of pH0 is quite important for the interpretation of sorption data.Key words: sorption, inorganic chemicals, isotherms, tropical soils.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".