A multi-century July-August streamflow reconstruction of Metro Vancouver's water supply contribution from the Capilano and Seymour watersheds in southwestern British Columbia, Canada
Bibliographic record
Abstract
Recent summer water shortages in Metro Vancouver are the result of unanticipated changes in the timing of regional snowmelt and rising summer temperatures. Continuing shortfalls over the next century would pose a significant challenge for water supply management decisions. To understand the magnitude of recent drought events in the context of those that happened in the past, we developed a tree-ring reconstruction of regionalised July–August streamflow to 1711 for Metro Vancouver’s Capilano and Seymour watersheds. We used the annual tree-ring widths of mountain hemlock (Tsuga mertensiana (Bong.) Carr.) and Pacific silver fir (Abies amabilis Douglas ex J. Forbes) trees exhibiting a relationship to the seasonal snowpack as proxies for the nival component of streamflow in a regression model. The model indicates that more multi-year, below-average, streamflow departures occurred during the instrumental record than over the 1711–1992 reconstruction period. The El Niño-Southern Oscillation was significantly (p < 0.05) associated with both reconstructed and measured streamflow for the study region. Similarly, seasonal Pacific Decadal Oscillation demonstrated strong statistical relationships (p < 0.05) with measured streamflow. Over the duration of the reconstruction, significant decadal and multi-decadal periodicities were also observed. The research places the Metro Vancouver water supply in a longer-term context than was previously possible and offers a basis for advancing water supply planning decisions in the context of a rapidly changing climate.
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 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".