Hydrologic response during snowmelt in three steep headwater catchments : Ringrose Slope, Slocan Valley, British Columbia
Bibliographic record
Abstract
Using a combination of hydrometric measurements, geochemical and isotopic tracers, and analysis of historical data, three steep headwater catchments of the Slocan Valley, British Columbia, Canada, were described and contrasted in terms of runoff processes and pathways during the 2002 freshet. Streamflow responsiveness was shown to be related to the degree to which connectivity between source areas of meltwater and stream channels was maintained as the snowline progressed upslope. The Thickett Creek catchment displayed the most sluggish streamflow response and was dominated by relatively deep subsurface flow throughout the freshet. The Gurn Brook catchment demonstrated the flashiest streamflow response and experienced significant channel flow relative to the other catchments, with subsurface flow maintaining connectivity between source areas and the channel network. The Gum Spring catchment demonstrated streamflow response intermediate between the other catchments; however, high unit runoff and unit peak flow relative to the other catchments suggested significant inter-catchment transfers of bedrock groundwater into the Gum Spring catchment. While a soil-water reservoir within Gurn Spring contributed to streamflow during peak flow, contributions from bedrock groundwater dominated during baseflow and hydrograph recession. Attempts to perform an isotopic hydrograph separation were confounded by the complex variation in new-water isotopic concentrations in both time and space. Qualitative interpretation of isotopic results indicated the dominance of old water contributions during baseflow, with increasing new water contributions during hydrograph rise. Similar isotopic concentrations between meltwater and streamwater at the time of peak flow prevented resolution of the relative contributions from old and new-water at that time. Relative to other studies, the study catchments displayed surprisingly little diurnal streamflow response during snowmelt. Possible explanations for this are presented and discussed, as are the potential impacts of forest harvesting and road construction on hydrologic response in the three catchments. Finally, the implications of the research findings for catchment-scale modelling were examined.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".