A shifting hydrological regime: a field investigation of snowmelt runoff processes and their connection to summer base flow, Sunshine Coast, British Columbia
Bibliographic record
Abstract
Abstract The annual hydrographs of British Columbian rivers are characterized by glacial, nival, pluvial or ‘hybrid’ sources of runoff. Climate change scenarios for the 2050s indicate that snow water equivalent could diminish by 50% to 80% in low‐elevation basins of the south coastal region of British Columbia. This could trigger a shift from a hybrid to a pluvial regime for many creeks originating in the coastal mountains and could negatively affect summer low flows. However, the connection between recharge occurring in the headwaters during snowmelt and late‐summer water yield remains unclear. A mountainous creek (Stephen's Creek) was monitored in a nested design from September 2008 to November 2009. A two‐component isotopic hydrograph separation method was developed by adapting the runoff‐corrected model to a semidistributed environment to account for both the spatial and the temporal variability of the isotopic release from the snowpack in the headwater catchment. Results show that snowmelt composed most of the streamflow both at the headwater site (66% ± 19%) and at the mouth (62% ± 23%) during the peak of the freshet, and its contribution to streamflow was significantly different in July (34% ± 11% at the headwater vs 7% ± 4% at the mouth). Streamflow recession analysis suggests that a snowmelt‐recharged headwater catchment can support a steadier summer base flow compared to a much larger but rainfed‐dominated watershed. This study concluded that the large input of meltwater during the spring was sufficient to ‘overturn’ shallow subsurface reservoirs and to recharge deeper flow paths at a rate that cannot be matched by rainfed‐dominated systems. Copyright © 2012 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".