Watershed Assessment of the Canaseraga Creek Watershed, Including Water Quality Analysis, SWAT Model, and Investigation of the Applicability of a Nutrient Biotic Index
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
Nearshore areas of Lake Ontario are suffering from persistent water quality impairments that were generally not resolved through programs such as the phosphorus abatement program and the Great Lakes water quality agreement. A major nearshore area of concern is the Rochester Embayment, which receives the discharge of the Genesee River. Due to the predominance of agriculture in the Genesee River basin and its largest tributary, Canaseraga Creek, agricultural areas were investigated using the segment analysis sampling technique and Soil and Water Assessment Tool (SWAT) modeling. Individual nonpoint areas were identified as nutrient sources as well as seven wastewater treatment plants. In general, loadings increased moving downstream as more source areas such as concentrated animal feeding operations, wastewater treatment plants, and small agricultural operations contributed to the nutrient load. Two tributaries, Twomile and Buck Run creeks, generally had the highest average annual concentrations and areal loadings of nutrients due to concentrated animal feeding operations (CAFOs) and dominance of agriculture in those areas. Observed loading data was used to calibrate a SWAT model for Canaseraga Creek. The most effective agricultural management practice was grassed waterways, while upgrading wastewater treatment plants to better (tertiary) treatment was also effective. By targeting just the areas that contribute the most P (Buck Run Creek, Twomile Creek, Groveland Flats) with grassed waterways, upgrading WWTPs, and stabilizing erodible main-stem streambanks, total phosphorus (TP) concentration was reduced by 31.4% from 104.3 ?g P/L to 71.6 ?g P/L. Of the three considered potential TP water quality targets (20, 45, 65 ?g P/L), the 65 ?g P/L target was attainable, while the 45 ?g P/L standard was not achieved but is believed to be possible with more intensive management practices. A nutrient biotic index (NBI) using TP and nitrate concentrations with observed macroinvertebrate communities was also used to evaluate appropriate water quality criteria. When comparing trophic state from the NBI with an external classification scheme based on chemistry, the NBI-P trophic state designations were observed to agree more often than the NBI-N. Several reasons for the discrepancies were determined, namely the use of nitrate instead of TN for the NBI-N, number of chemistry samples used, period of time which chemistry averages were taken, tolerance values that may not completely represent nutrient 'optima', and lack of scores for many taxa.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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