An Evaluation of the Contributions of Urbanization and Climatic Change to Runoff Characteristics in the Laurel Creek Watershed, Ontario
Bibliographic record
Abstract
The hydrological consequences of urban growth and expansion of impervious surface area between 1950 and 2000 in the Laurel Creek Watershed, Waterloo, Ontario were investigated. Changes in the hydrological regime were assessed using annual summaries of census, climate (temperature and precipitation), land use and runoff data. Population growth has been linear (+1000% over fifty years) and urban (impervious) area expansion has been even greater over the same time period (about 1200%). The runoff ratio increased significantly over time, but other derived hydrological indices and climate variables did not. This research indicates that there are significant challenges in predicting the hydrological consequences of urban expansion in a changing climate using long-term data sets. Lack of evidence of hydrological impacts using analyses such as these may be a consequence of threshold-dominated watershed behaviour. Changes in land cover, precipitation timing and magnitude and water balance dynamics in the future may diverge from historical patterns, and should be considered by land use planners and others responsible for municipal water issues.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 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".