A numerical model of flow modification induced by suspended aquaculture in a Chinese bay
Bibliographic record
Abstract
A finite element circulation model of flow was constructed for Sungo Bay, China, a site of dense cultivation of both marine bivalves and kelp, to assess the magnitude of friction due to culture structure and its implications for particle exchange. In the model, parameterization of friction was modified to reflect the patterns of culture configuration in the bay and the results compared with the default case with no culture. Results of model output indicate that suspended aquaculture results in a 20% reduction in current speed in the main navigation channel and a 54% reduction in speed in the midst of a culture area. In the channel, reduced flow had little effect on tracer exchange under mid-ebb conditions, but the presence of culture structure caused a 41% decrease in exchange rate compared with the absence of culture. These results indicate that disregard for physical barriers associated with culture will result in a serious over estimation of the particle renewal term and thus an overestimation of carrying capacity. Further work is required to measure the characteristics of culture (spacing, length scale), quantify their magnitude of flow retardation in the field, and improve model parameterization of the frictional effects of various types of culture.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".