Eficiência de biodigestores canadenses no tratamento de dejetos de suínos em diferentes fases de produção
Bibliographic record
Abstract
A swine breeding is an activity of great importance for the economy of the country, however, it is also recognized as having great polluting potential, due to the generation of large quantities of effluents with emission of organic matter load. Untreated waste strewn in the soil and water sources can cause environmental imbalances. To minimize the impact caused by wastes, the use of treatment systems, as the biodigester, is needed. The objective of this study is to evaluate the efficiency of canadian biodigesters in the reduction of pollutant loads from pig manure, through the analysis of physical-chemical parameters. The analyzes were carried out in the affluent and effluent of the biodigesters from three sites of different breeding stages (Site 1 - Reproduction and maternity; Site 2 - Nursery; Site 3 - Growth and termination). In order to analyze the efficiency of the reduction of pollutants of the manure, the following physico-chemical parameters were analyzed at the entrance and exit of the biodigesters: Chemical oxygen demand (COD), Total solids (ST), Fixed solids (SF), Volatile solids (SV), total Nitrogen, total phosphorus and pH. With the results found, it was possible to verify that the anaerobic treatment system was different in the three sites. Production site 1 was the one with the highest reductions: 17.12%; 25.77%; 64.18%; 67.48%; 48.20% and 78.07%, respectively for COD, Nitrogen, Phosphorus, ST, SF and SV. With the results obtained it was possible to verify that the anaerobic treatment system was efficient to reduce and stabilize the organic matter of the swine supply in all the sites, but it is not enough for the effluent to pour into water bodies. The effluent has potential to be used as a biofertilizer.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".