Snowmelt and Growing Season Phosphorus Flux in an Agricultural Watershed in South-Central Alberta, Canada
Bibliographic record
Abstract
Abstract A three-year study was conducted to examine the spatial and temporal variability of phosphorus concentrations and mass loads within four sub-basins in the Crowfoot Creek watershed in southern Alberta, Canada. Monitoring was carried out at the inflows and outflows of the four sub-basins from mid-March until the end of October in 1997 to 1999. Data were collected on flow, total phosphorus (TP) and total dissolved phosphorus (TDP). The TP and TDP concentrations increased and were greatest during spring snowmelt and rainfall runoff events. Median TP concentrations varied from 0.022 to 1.141 mg L-1 and median TDP concentrations varied from 0.005 to 1.031 mg L-1. Within the sub-basins, phosphorus concentrations generally increased between inflow and outflows. The presence of grassland and well-developed crop cover adjacent to the watercourses generally resulted in a greater proportion of TDP in runoff. The proportion of TP as TDP varied from 31 to 97% and appeared to be affected by the timing of the storm and antecedent moisture conditions of the soil. The proportion of phosphorus exported during events made up from 1 to 83% of the total phosphorus load during the post-spring runoff period. Phosphorus concentrations exceeded Alberta surface water quality guidelines most of the time; however, the addition of irrigation return flow water generally improved water quality in Crowfoot Creek.
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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 | 0.000 |
| 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 | 0.000 |
| 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".