Effect of aluminum speciation on silica removal during coagulation of heavy-oil wastewater using polyaluminum chloride
Bibliographic record
Abstract
Desiliconization techniques for heavy-oil wastewater are complex and costly. The effect of polyaluminum chloride (PACl) on silica removal during coagulation, however, has not been examined. In this study, the effect of PACl on the removal of soluble silica in heavy-oil wastewater was investigated by analyzing the major species of silica and aluminum during various stages of coagulation. Soluble silica could be divided into three species based on increasing molecular weight: monomer and dimer (Si a ), oligomer (Si b ), and polymer (Si c ). Likewise, aluminum hydrolysates could be divided into the species Al a , Al b , and Al c , which correspond to oligomers of increasing molecular weight. Three PACl samples of specific basicities synthesized in our laboratory, with Al a , Al b , and Al c being dominant in one of the samples, were used. Aluminum salts and preformed collosols of amorphous aluminum hydroxide were employed to explore the effect of Al a and Al c on soluble silica in wastewater. Results show that Al a and Al c promoted the removal of Si c and Si a , respectively. The interaction of Si c and Si a with Al a and Al c , respectively, can be described as absorption-modification, causing the formed admixtures of silica and aluminum to become more insoluble and more susceptible to coagulation. A mechanism involving electrostatic patch coagulation is introduced to explain the reaction of soluble silica and other substances with PACl.
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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 | 0.000 | 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) | 0.000 | 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".