Problems and perspectives concerning reclaimed water reuse in urban and agricultural areas
Bibliographic record
Abstract
Reclaimed water reuse is at present encouraged throughout the world with regulations and international agency guidelines.This reuse allows the saving of water resources, a reduction in the use of high value resources for nonpotable purposes and a lower impact of discharged water on rivers.The technological perspectives for water reuse involves the evaluation of the quality standards that are required for different uses, the treatment, transport and distribution costs, and the benefits that can be obtained from the reduction of supply costs for the users.Four significant experiences in refining treatments, performed on reclaimed municipal and industrial wastewaters in the Piedmont area (Northwest Italy), are proposed in this work: a plant in a big town area (SMAT, Castiglione Torinese, Turin), a plant in an industrial area (SMAT, Collegno, Turin), and two plants in a mixed agriculturalindustrial context (AMIAS, Novi Ligure and Cassano Spinola, Alessandria).The four plants have developed different refining technologies, and therefore obtained different effluent qualities, with different treatment costs.The potential users of the refined water from the four plants were carefully evaluated, with particular reference to industrial activities and also considering agricultural reuse, and an economic analysis was performed.The reuse of reclaimed water for nonpotable purposes is a valid solution in case of resource shortages and it is an alternative to the aqueduct supply that has undeniable environmental benefits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".