Influence of composite flocculant FeCl<sub>3</sub>–APAM on vacuum drainage of river-dredged sludge
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
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 FeCl 3 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:FeCl 3 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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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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