Research on influencing factors of trichloroethylene(TCE) anaerobic degradation granular sludge
Bibliographic record
Abstract
Acclimation of trichloroethylene(TCE)-degrading anaerobic granular sludge was successful by using upflow anaerobic sludge blanket(UASB) reactor. The influences of temperature, p H and initial concentration of TCE on the degradation characteristics of TCE-degrading anaerobic granular sludge were investigated in serum bottles. The results showed that 35 ℃ was the optimum temperature of the granular sludge, the degradation rate constant was 0.1879, the half-life was 3.69 d, and the TCE degradation rate was 90.15%; 7.2 was the optimum p H of granular sludge, the degradation rate constant was 0.1672, the halflife was 4.15 d, and the TCE degradation rate was 88.74%; Under the conditions of temperature of 35 ℃, p H of 7.2, and the TCE test concentration range from 14.6 to 73.0 mg · L-1, the smaller the initial TCE concentration was, the faster the degradation rate was; When TCE concentration was 73 mg · L-1, TCEdegrading anaerobic granular sludge still had higher ability to degrade TCE. After 14 d, TCE could be effectively removed and the final TCE degradation rate was over 80%.
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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 | 0.001 |
| 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 | 0.001 |
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".