The seasonal cycle of deposition and scouring processes in the channel network as a key process for erosion response in badlands catchments, (Draix, Alpes-de-haute-Provence, France)
Bibliographic record
Abstract
In the Southern French Alps, the Black Marls formation, or "Terres Noires" in French, covers a large area. This formation is very susceptible to weathering and erosion. Under the Mediterranean and mountainous climate with frost in winter and high intensity rainfall in summer, it results in "badlands" topography and high solid transport during floods. The experimental site of Draix was created in the period 1983-1984 and aim principally at studying erosion processes and flood generation in this area. Four small watersheds, from 1 000 m2 to 1 km² are equipped to study and quantify runoff and erosion processes, according to the vegetation cover and basin size. The analyses of the data at the event scale pointed out the non-linearity of the response to a rainfall input and revealed the role of the deposition and scouring processes in the channel network. In order to study how this phenomenon control the erosion response at the outlet, field observations were carried out throughout the year in the 2 basins devoid of vegetation : Laval (0.86 km²) and the Moulin (0.09 km²). The paper analyses the field observations and collates it to the rainfall inputs and to the runoff and sediment supplies at the outlet for the same rainfall events or group of events. In addition, the water and sediment response of a monitored gully (The Roubine, 1330 m²) are used to evaluate the contribution of the slopes for the same events. The analysis of the sequence shows how the spring and summer rainfall events increase the temporary stocks in the gully bottoms and channel reaches even when the sediment output is high. At the beginning of autumn, the upstream part of the network begins to empty and the high floods of November scoured most of the remaining material in the larger channels. These results allow to build a seasonal model of the erosion and transport processes in the marly badlands basins.
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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 | 0.000 |
| 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 | 0.001 | 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 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".