Life-cycle Assessment of Full-scale Membrane Bioreactor and Tertiary Treatment Technologies in Fruit Processing Industry
Bibliographic record
Abstract
Life-cycle assessment (LCA) was conducted to quantitatively assess the total environmental impacts of membrane bioreactor (MBR) and tertiary technologies treating wastewater in the fruit processing sector, allowing comparisons on the impacts of different treatment options, including impacts without on-site treatment. The system boundaries for all scenarios comprise raw materials extraction and processing, transportation, construction, operation and waste disposal. SimaPro 8.0.4.26 was used as the software tool, and two impact assessment methods (ReCiPe v1.11 and TRACI v2.1) were applied. Results showed that MBR combined with RO and UV contributed the least damage to the ecosystem, and minimized eutrophication impacts from the sewage when compared to the non-treatment scenario. Treating wastewater in municipal wastewater treatment plants (WWTP) would mitigate eutrophication effects, but it resulted in more environmental impacts from categories such as climate change and human health compared with implementing on-site treatment systems.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".