Meso-scale measuring and modelling of aeolian sediment input to coastal foredunes
Bibliographic record
Abstract
This thesis explores the nature of aeolian transport events and alternative approaches to model sediment input to foredunes by focusing on a time series recorded by a monitoring station specifically design to measure meso-scale processes within the dune-beach system at Greenwich Dunes, Prince Edward Island, Canada. Results of the analysis of nine months of data confirm that the fetch effect, beach width and angle of wind approach are key controls on aeolian sediment transport from the beach to coastal dunes, and thus information regarding these parameters needs to be included in a predictive model. A review of the fetch effect allows incorporation of available knowledge into the modelling, and information on the nature of transport events aids into the inclusion of nearshore processes, moisture, and essential variables of cold climates such as snow/ice cover. The simplified model is tested and verified through comparison with observed time series of sediment deposited into the dunes. Conceptual differences between the approach taken by this research and previous authors are discussed in light of the potential to improve predictions of sediment input by wind to the foredunes.
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 | 0.000 | 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 | 0.000 | 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".