Water quality evaluation under climate change impacts for Canagagigue Creek watershed in southern Ontario
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With SDSM downscaling based on historical weather data, this thesis develops the future weather scenario with climate change consideration during 2015-2044, and then uses the scenario as input to the calibrated and validated hydrologic model, SWAT for water quantity and quality analysis, focusing on stream flow, sediment erosion and transportation at a watershed level. This thesis concludes that SDSM is able to simulate the daily historical temperature more efficiently than daily precipitation. Warmer winters and hotter summers may be expected during 2015-2044; higher mean and variance of the amounts of precipitation in summer may be expected without statistic significance; the future stream flows may have longer low flow periods extending from summer to fall, and severe annual water resources deficiency may be highly possible during 2015-2044 due to increased evapotranspiration. As a result, sediment transport capacity of reaches may decrease, and thus sediment deposition may be common phenomena.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.000 | 0.000 |
| 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 it