DENDROGEOMORPHIC ANALYSIS OF FLASH FLOODS IN A SMALL FOREST CATCHMENT
Bibliographic record
Abstract
Flash floods represent one of the most significant natural hazards in headwater catchments facing the lack of systematic hydrological monitoring. This study focus on the detection of flash floods on growth disturbances detected at trees of European beech (Fagus sylvatica L.) located in the torrential channel of the Holubi Potok stream in the Jizera Mountains (North Bohemia, Czech Republic). At the injured stems, flood scars were identified and core samples dated by tree ring analysis; the intensity of the disturbance clearly depends on geomorphology of the stream channel. These data were compared with 40 years of hydrometric measurements at the catchment outlet. The flood injuries were detected in the last 65 years, and those flood signs occurred on average every 12-13 years. All of them correspond with intensive summer rainstorms. Flood waves exceeding the gauging capacity or the period of hydrometric observation were reconstructed by HEC- HMS 4.4 and HEC-RAS 5.0.3 tools. The applied approach contributed to the extrapolation and correction of the standard flood frequency curve at the investigated catchment.
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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 | 0.002 | 0.001 |
| 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".