The in situ treatment of synthetic musk fragrances in groundwater
Bibliographic record
Abstract
Abstract Synthetic musk fragrances (SMFs) have been shown to be micropollutants in various aquatic and groundwater systems, often occurring at microgram per liter concentrations. Studies have shown that the most commonly detected SMFs in water are nitro musks and polycyclic musks. The SMFs are typically introduced into the environment in continuous streams such as from wastewater and land application of wastewater or sludge generated during wastewater treatment. Various studies for the treatment of SMFs have been undertaken for wastewater but studies for the treatment of SMFs in groundwater are limited, especially for in situ treatment. A pilot‐scale test was conducted to determine if the use of colloidal activated carbon (CAC) could effectively reduce dissolved concentrations of nitro and polycyclic synthetic musk compounds including musk xylene, musk ketone, galaxolide, and tonalide. The pilot test was carried out downgradient of a septic system in Central Canada where a series of nitrification and denitrification reactions are occurring in an unconfined aquifer. A 10‐weight percent CAC solution was injected into a series of temporary direct push injection points to target the synthetic musk plume. The plume contained galaxolide and tonalide concentrations up to 687 and 187 nanograms per liter (ng/L), respectively, while the concentrations of musk ketone and musk xylene were below the method detection limit (20 ng/L). A total of 13,950 liters of CAC solution was injected during one injection event. The pilot test results indicated that the CAC was effectively delivered to the target injection zone resulting in an increase in total organic carbon concentrations within the saturated soil greater than two orders of magnitude compared to the background concentrations. Analyses of the groundwater chemistry before and post‐injection indicated that the CAC had no detrimental impact on the groundwater quality while reducing the concentration of dissolved galaxolide and tonalide within the plume to below the method detection limits within 51 days of injection with the exception of two of the 14 wells monitored which had galaxolide and tonalide concentrations up to 78 and 35 ng/L. Within 6 months of application, the concentrations of galaxolide and tonalide had decreased to below the method detection limits. Subsequent monitoring of the groundwater quality over a one‐year period failed to detect galaxolide and tonalide, suggesting that the CAC was effective in attenuating the galaxolide and tonalide.
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 | 0.000 | 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 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".