Sediment transport and morphodynamics of two dynamic and highly modified rivers: valley management issues and keys for river stakeholders
Bibliographic record
Abstract
River hydrology and morphodynamics are significantly modified by human activities. In many watersheds, this has led to a flashier hydrological regime and an increase of flooding risk. In addition, a river system can be highly instable at different spatial and temporal scales. When this instability conflicts with human use, sediment fluxes and morphody-namics issues become a key factor for river management. However, sediment mobility is frequently not considered by river managers. We have studied two river systems, the Durance River (France) and Wilket Creek (Canada). Even if the spatial scales of these systems are significantly different, it is interesting to notice that management issues converge. More importantly, it appears that long-term management issues can only be solved by an integrative approach that considers sediment transport for the whole system. The objective of this poster is to present a methodology to characterize gravel-bed river mobility in highly modified systems in order to support decision making for river stakeholders.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".