Optimal design of a hybrid air stripping/pervapouration system for removal of multicomponent VOCs from groundwater
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Groundwater streams contaminated with volatile organic compounds (VOCs) require proper treatment to comply with drinking requirement restrictions. Air stripping and pervapouration are two common treatment technologies for groundwater contaminated with VOCs. An attractive alternative for VOC treatment may be to combine these two technologies together within the same circuit since this offers potential advantages over the operation of either of these systems alone. The current study focuses on the important issue of determining in an objective and systematic manner how to combine these two technologies to meet the drinking water requirements in the most cost-effective manner. Superstructure optimisation is the framework for hybridisation investigated in this study to determine the optimal treatment network and operating conditions for the treatment units to achieve desired water qualities. Two case studies illustrating the proposed approach are presented and the sensitivity of their optimal solutions to perturbations in certain operating conditions is discussed.
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.
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 | 0.000 | 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 it