Hydrological processes and streamflow in a lake dominated watercourse
Bibliographic record
Abstract
Abstract This paper discusses results of a nested basin study investigating run‐off responses along the watercourse in a 137 km2 subarctic Canadian Shield watershed. Catchment areas contributing surface run‐off to the basin outlet shrink after a maximum during spring snowmelt because of storage demands in headwater wetlands and lakes. This decrease is significant as summer contributing areas to the basin outlet are only 4% the size of spring melt contributing areas. This reduction in contributing area and decrease in antecedent lake levels lead to a two order of magnitude decrease in run‐off ratios from spring snowmelt to midsummer. Furthermore, the attenuating influence of lakes on the run‐off hydrograph increases the opportunity for evaporative losses, which prevents small run‐off events from maintaining a measurable flood wave through the basin. The location at which a run‐off event is interrupted in the watercourse is a function of lake size relative to upstream run‐off inputs. Run‐off is more susceptible to evaporative losses in large receiving lakes where inflow per unit area is less. These processes cause intermittent streamflow through the basin. These results have repercussions for coupled atmospheric/hydrological models whose resolution is approaching the basin scale. The incorporation of lateral transfer schemes that encompass these processes and physiographic influences on streamflow response is encouraged. Copyright © 2006 Crown in the right of Canada. Published by John Wiley & Sons, Ltd.
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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 | 0.001 | 0.001 |
| 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".