Delineating sediment compartment boundaries in an urbanised embayment for geomorphic management of decadal-scale coastal dynamics
Bibliographic record
Abstract
Coastal sediment compartments are used for quantifying landform dynamics for the purposes of coastal management. They are defined as primary, secondary and tertiary compartments. The smallest unit, the tertiary compartment, encompasses sediment movement over a decade. This scale is viewed as most relevant for managers, however defining them has proven difficult due to complexity of local geomorphology. In this paper we analyse the delineation of tertiary compartments and their boundaries in Australia and test their applicability in Port Phillip Bay. Sediment movement in a compartment is assessed based on geomorphic features related to wind and hydrodynamic processes, such as surf zone bars and aeolian dunes. Classifying tertiary compartments can be difficult for long (kilometre-scale) continuous beaches where sediment transfer from opposite ends does not occur in a decade. Management activities especially rock walls, groynes and training walls in enclosed bays also complicates the delineation of compartments. A five-point scale is developed for compartment boundaries from closed, leaky (i), leaky (ii), leaky (iii), to open. In the case of shorelines in urbanised areas, engineered structures most commonly define compartments. It is also found that tertiary compartment extent cannot be considered static over decadal scales. • A tertiary compartment is defined based on sediment movement over a decade. • Features such as bars and heads are used to map compartment boundaries. • Management interventions often determine compartment extent in urbanised settings. • 5 types of tertiary compartment boundaries are classified from closed to open. • Compartments are not static features over decadal scale in urbanised estuaries.
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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 | 0.000 | 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".