Adverse Hydrologic and Ecologic Impacts of Wildfires in Western Watersheds
Bibliographic record
Abstract
Wildfire is a common occurrence in the semi-arid western and southwestern United States. Extended periods of drought increase the probability and severity of wildfires. The destruction of vegetation and ground litter and altered soil conditions adversely impact the hydrologic response of the watershed by increasing the runoff during post-wildfire rainfall events. The higher peak flows and greater soil erosion potential, in turn, lead to accelerated soil erosion, debris flows, and slope failures. Sediments transported to downstream waters have the potential to accentuate flooding, cause sedimentation, and change channel morphology. In addition, the sediments act as a vector for transport and redistribution of contaminants to downstream waters that may be detrimental to aquatic ecosystems. The severity of post-wildfire flooding and damage depends upon the severity of the burn, the nature of the burned vegetative cover, topography, geology, soil conditions, the timing and intensity of post-wildfire rainfall events, watershed recovery, proximity of structures to flooding sources, and engineered mitigation measures. The influence of some of the above factors is examined for the La Canada Flintridge—La Crescenta area in Southern California, which was affected by three major fire-flood sequences in the past century.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".