Understanding the role of aquatic plants in stormwater management pond performance in Oshawa, Ontario, Canada
Bibliographic record
Abstract
Stormwater Management Ponds (SMPs) are engineered to receive, store, and treat stormwater runoff before it enters receiving waters in urbanizing landscapes. While these systems are not considered natural, they are typically colonized by aquatic plants. Although submergent and emergent vegetation is common in SMPs, not much is known about their potential impacts on SMP performance. The aim of my thesis project was to investigate the effect of aquatic plants on the water treatment capacity of 15 SMPs in Oshawa, Ontario, Canada, over two years (2018-2019). I determined that overall, SMPs serve as sinks for certain water quality parameters including chloride and nitrogen, while being a net source of phosphorus to tributaries. The effect of plants on SMP performance was mixed. Increasing submergent plant biomass was associated with decreasing nitrogen concentrations at outflow locations (p = 0.002, cor = -0.316). Emergent vegetation had no significant impact on stormwater treatment overall, but the invasive species, P. australis was associated with decreasing outflow nitrogen concentrations. Overall, I determined that pond characteristics, including pond size, age, and drainage area are significant drivers of established plant profiles.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".