Influence of composite flocculant FeCl<sub>3</sub>–APAM on vacuum drainage of river-dredged sludge
Bibliographic record
Abstract
Sludge is an inevitable product of river dredging and is characterized by a high water content, high fluidity, and high heavy metal content. Its treatment requires consideration of the economic and environmental implications. In this study, a composite flocculant comprising anionic polyacrylamide (APAM) and FeCl3 was used in combination with vacuum preloading to conduct indoor tests on the treatment of dredged sludge. The monitored parameters included the water drainage rate and sludge settlement, and the water content and shear strength after testing. The addition of the composite flocculant was found to effectively enhance the flocculation of the soil and increase the soil particle size, resulting in accelerated water drainage, thus improving the treatment effect and the solidification of the contained heavy metals. The treatment was found to be optimized by an APAM:FeCl3 ratio of 1:5 in the composite flocculant, under which the moisture content of the sludge was reduced from 140% to 50%, and the solidification rate of the heavy metals exceeded 88%.
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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) | 0.000 | 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 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".