Calibration of BASINS HSP-F in Support of a Watershed Approach to CSO Long Term Control Planning
Bibliographic record
Abstract
BASINS (Better Assessment Science Integrating point and Nonpoint Sources) HSP-F was used as part of the watershed approach in developing the City of Buffalo Long Term Control Plan for CSO abatement. More specifically, the focus of this chapter is the Buffalo River watershed and 33 CSOs that discharge to the lower Buffalo River. Estimated sediment, bacteria, and metals loads from the watershed and CSOs were compared for design storms of different frequencies and on an annual basis. Loadings of these contaminants from the upper watershed exceeded the CSO loadings. It was essential to have a calibrated BASINS HSP-F model to make the watershed loading estimates. This chapter reviews the procedure and results of the model calibration effort, including some of the challenges to estimating both runoff quantity and sediment transport.
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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) | 0.000 | 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".