Ice effects on flow distributions within the Athabasca Delta, Canada
Bibliographic record
Abstract
Abstract The Peace‐Athabasca Delta (PAD) is a unique and ecologically sensitive area made up of many interconnected lakes, wetlands, streams and rivers. The hydrology of the Delta is heavily influenced by inflows from the Athabasca River and the complex river ice regime within it. In this study, a detailed one‐dimensional network hydraulic model of the Athabasca River Delta (comprising the southern portion of the PAD) is presented and applied to demonstrate how variable stream‐flow and ice cover conditions affect the distribution of flow among the major channels conveying water to Lake Athabasca and the rest of the Delta. The current channel network model, based on new measurements concentrated at the main channel junctions combined with carefully designed geometry throughout the un‐surveyed reaches, is shown to provide flow allocations to the major channels that are within 3% of the corresponding observations. At the three main flow‐split junctions, steady flow simulations at varying discharge, Lake Athabasca level, and ice thickness were performed to assess their impact on the percentage of flow carried by each channel. Each junction was found to exhibit a unique response arising from its physical geometry and location within the Delta. Transient simulations for the historical period 1960–2007 demonstrate that water demand on the Athabasca River upstream of the PAD may have a significant impact on the availability of fish habitat in winter. Imposing a 20 m 3 /s water demand increased the total occurrences of a no‐flow condition in the Fletcher Channel, analogous to it freezing to the bed, by 53%. Copyright © 2010 John Wiley & Sons, Ltd.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".