Effect of morphologic and hydraulic factors on hysteresis of sediment transport rates in alluvial streams
Bibliographic record
Abstract
Abstract Unsteady flow events, such as those caused by extreme precipitation events or reservoir flushing, can result in hysteresis of sediment transport rates in alluvial streams. Over the past 20 years, several experimental studies have been conducted that monitored sediment transport rates in response to unsteady flow event hydrographs. Previous literature has identified numerous morphological and hydraulic factors, including sediment composition, sediment supply, hydrograph characteristics, bed morphology, and mode of sediment transport, that affect hysteresis of sediment transport rates. This manuscript reviews and evaluates the degree of influence of these factors on hysteresis in order to develop a comprehensive understanding of the dominant factors responsible for this phenomenon. This systematic evaluation suggests that the mode of sediment transport and sediment composition are the most dominant factors influencing the resulting type of hysteresis. Further research is required to investigate the effect of other factors, such as non‐uniform stream bed composition and planform geometry, and develop predictive models to assess the sediment transport response to unsteady flow events.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".