Water Reuse in the European Union: Risk Management Approach According to the Regulation (EU) 2020/741
Bibliographic record
Abstract
Abstract In 2020, the Regulation (EU) 2020/741 on minimum requirements for water reuse in agricultural irrigation was approved with the aim to promote water reuse in the European Union. This regulation outlines minimum water quality and monitoring requirements, permitting and transparency provisions related to water reuse, as well as risk management requirements regarding the safe reuse of treated urban wastewater. The Joint Research Centre (JRC) of the European Commission developed technical guidelines based on established global approaches and European legal frameworks to assess and manage health and environmental risks associated with water reuse. These guidelines were developed with inputs from experts, EU Member State representatives, and stakeholders, and were informed by workshops, consultations, and case studies from various European Member States. This chapter presents the proposed methodology for the preparation of the risk management plan of a water reuse system where reclaimed water is used for agricultural irrigation, according to the elements listed in Annex 2 of the aforementioned regulation on water reuse.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".