Purification Effect of Ecological Floating Bed on Water Quality of an Estuary
Bibliographic record
Abstract
By analyzing water quality difference before and after construction of floating bed,before and after removal of floating bed as well as between the bedside and open waterway,the purification effect of ecological floating bed on an estuary was investigated,and its purification mechanism was analyzed.The results are as follows:① the ecological floating bed can remove pollutants effectively,the net removal rates of TP,TN and NH+4-N are 10.4%,8.1% and 18.1% respectively;② Because of the complexity of nitrogen recycle,the removal rates of NO-3-N and NO-2-N are negative;③ Water quality improvement of the project can be contributed to the comprehensive effects of lake water dilution,estuary self-purification and ecological floating bed;④ After removal of the ecological floating bed,the purification effect on the estuary gets worse,and the removal rates of TP,TN and NH+4-N are only 18.2%,9.2% and 27.8% respectively.
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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 | 0.000 |
| 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".