Polyester microfiber dynamics in an estuarine semi-enclosed basin
Bibliographic record
Abstract
Polyester microfibers are one of the most abundant microplastics in marine ecosystems, yet their observed near-surface concentrations are inconsistent with expectations based on their density. To study the mechanisms governing polyester microfiber transport and fate, we developed a Lagrangian particle-tracking module using Ocean Parcels to simulate microfiber dynamics in the Salish Sea, incorporating realistic hydrodynamics froma 3D circulation model, SalishSeaCast. The model simulates microfiber release from wastewater treatment plant outfalls across the Salish Sea. A multi-month simulation ensemble highlights estuarine retention and the dominant role of sedimentation as the primary sink, followed by beaching and export playing smaller roles. Our model concentration estimations agree within an order of magnitude with new near-surface observations near the Fraser River, but regional discrepancies indicate the existence of additional sources. The results suggests that polyester microfibers accumulate close to source locations and behind sills, due to estuarine dynamics. This model can be used to assess microfiber fate in coastal environments and can inform future pollution mitigation strategies.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".