Dynamic Considerations of Sea-level Rise with Respect to Water Levels and Flooding in Apalachicola Bay
Bibliographic record
Abstract
Bacopoulos, P., and Hagen, S.C., 2014. Dynamic considerations of sea-level rise with respect to water levels and flooding in Apalachicola Bay.An examination of sea-level rise impacts on water levels and flooding extent in Florida's Apalachicola Bay and the nearby region was carried out using forcing conditions from Hurricane Dennis under multiple sea-level rise scenarios. A comparison of the modeled water levels at the inlets of the bay was conducted to determine if the trend in water levels at the inlets was linear or nonlinear in relation to increasing sea-level rise. Hydrodynamic simulations for five scenarios were performed, including a present-day (control) scenario reflecting current sea levels and four possible future sea-level rise scenarios. Water level distributions and flooding throughout the bay with either dynamic or static sea-level rise were compared, and the effects of nonlinearity in the hydrodynamic responses were measured using a normalized nonlinearity index. This analysis highlights the importance of considering the two-dimensional spatial distribution in water levels when examining the consequences of sea-level rise, as analyses of hydrographs at point locations can overlook important subtleties throughout the domain. The results of this study provide a fuller representation of possible responses of Apalachicola Bay to sea-level rise, taking into account the combined context of water-level nonlinearity and flooding extent.
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 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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 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".