Potential ecological impact of climate change on the water quality of an intensively managed agricultural watershed in Quebec, Canada
Bibliographic record
Abstract
This study investigated the effects of climate change (CC) on water redistribution in a micro-watershed of a lowland agricultural area of the Bras d'Henri River in the temperate cold climate of Quebec, Canada. A Water Flow and Balance Simulation Model (WaSiM-ETH) was used to simulate the hydrology using current climatic conditions and land use characteristics, applying Richards’ equation. A one-day temporal resolution was used with a spatial resolution of 2 × 2 m. The CC scenarios Coupled Global Climate Model, version 1 (CGCM1) and Hadley Centre Coupled Model, version 3.1 (HadCM3.1) were downscaled to the regional level and integrated into WaSiM-ETH and evaluated for both current and modified climatic conditions. Mean annual precipitation values (P) increased from 15–33%, evapotranspiration from 7–26%, and discharge (Q) from 16–45%. The identification of the significant water quality problem represented by average value of total suspended solids (TSS) 265.29 (kg ha−1), nutrients: nitrogen (NO3-N) 16.83 (kg ha−1) and total phosphorus (TP) 0.59 (kg ha−1) for the whole evaluated period; and (TSS) 148.09 (kg ha−1), (NO3-N) 5.65 (kg ha−1) and (TP) 0.31 (kg ha−1) during the days with surface runoff, in relation to water quantity and CC creates the basis for erosion risk assessment.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".