Performance of Natural Channel Designs in Southwestern Ontario
Bibliographic record
Abstract
A significant change in the engineering design approach to streams and rivers has occurred in many parts of North America in the past decade. Applications of natural channel design approaches, in which the natural behaviour of the watercourse including its tendency to meander and change over time are now commonplace. Although this change has been common for some time with many designs completed and implemented, little work has been done on the performance of these designs and how well they achieved their objectives. The work reported in this paper is a summary of the performance of five channels in southwestern Ontario to which natural channel design principles were applied.The selected channels had been in place between four and seven years before their morphological characteristics were reviewed. The results of the study showed that there was relatively little channel change in channel morphology during this period. However, this was probably a temporary condition due to the large bed materials specified and other reinforcing material used in the designs. Although bed materials would be expected to be mobile under bankfull conditions in natural stream systems, analysis suggested that in the present designs they were not mobile. There was also evidence of misinterpretation in the designs, particularly in the determination of the bankfull discharge and its use in the selection of morphological parameters. As a result, the designs appear incompatible with the processes acting within their respective watercourses, which may lead to long-term channel instability and failure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".