Hydrodynamic Modeling of the Barrier Islands and Tidal Inlets of Long Beach, Long Island
Bibliographic record
Abstract
This paper presents an example of the use of two-dimensional, localized, high resolution hydrodynamic models to evaluate the flood risk of the Long Island Beach and upland, backwater areas. The flood risk is characterized for several different return periods (up to 1000-year). The coastal flood hazard was determined using the empirical simulation technique (EST) using observed gage data supplemented by simulation of synthetic tropical cyclones. The EST-calculated stage-frequency curve represents the combined coastal flood hazard due to both tropical and extratropical storms. Synthetic hydrographs were developed based on the combined coastal flood hazard and used as boundary conditions to a high resolution Riverflow2D model for Long Beach, which modeled the beaches, tidal inlets, rivers, marshes, and upland areas. The results of the model simulations were highly informative as to the cause and effect of both the beach and backwater, upland flooding and indicated where flood mitigation measures would be most effective. The results were used to establish the flood design basis for the design and construction of new critical infrastructure in the area, as well as design flood mitigation measures.
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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 | 0.001 | 0.001 |
| 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 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".