Evaluation of Factors Influencing the Delivery of Septic System Wastewater Effluent to Tributaries
Bibliographic record
Abstract
There is concern that septic systems may contribute nutrients, fecal pathogens, and emerging contaminants to tributaries, and thereby impair surface water quality. The objective of this thesis was to quantify the percentage of septic effluent reaching multiple streams and to evaluate whether this percentage varies based on the stream flow conditions and the physical and socioeconomic characteristics of a subwatershed. This was addressed by broad-scale sampling in 46 subwatersheds in the Lake Erie and Lake Simcoe Basins, Ontario, with data analyzed using statistical models. It was found that the percentage of septic effluent reaching subwatershed outlets, based on acesulfame stream loads, was higher under high flow conditions and in subwatersheds with older occupied homes and lower topographic wetness index. Fecal contamination in streams, possibly associated with underperforming septic systems, was observed in smaller subwatersheds with high septic system density, small setback distances, and high topographic wetness index. The findings of this research are needed to refine estimates on the contribution of septic systems to stream contaminant loads and to inform programs for locating, constructing, and maintaining septic systems.
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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 | 0.001 |
| 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) | 0.000 | 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".