Applied Wave Modelling for Harbor Improvements: An Opportunity for Boussinesq Model Advancement
Bibliographic record
Abstract
St. George Island is one of the Pribilof Islands of the State of Alaska located in the Bering Sea. The small island has a single harbor that provides the community’s primary opportunity for generating revenue through the thriving local fishery as well as the only mode of delivering critical supplies and fuel to the remote locale. However, large breaking waves at the harbor entrance and significant oscillations within the harbor create unsafe conditions for harbor users. The Alaska Department of Transportation & Public Facilities (DOT&PF) and HDR Inc. (HDR) are designing improvements to provide a safer, more functional harbor. The small size of the harbor, extreme wave conditions, and high cost of construction in this remote and hazardous location present significant design challenges. BOUSSINESQ wave modeling using BOUSS-2D and FUNWAVE was employed to simulate waves approaching and entering the harbor, capturing wave shoaling and breaking, diffraction and refraction past the harbor structures, and infra-gravity waves within the harbor. These models were applied to analyze both the existing and proposed harbor configurations.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".