Low-Flow Modification of Flood Control Channels in Cities
Bibliographic record
Abstract
Many rivers and streams throughout the world have been severely affected by human activities in the past century including water abstraction, watershed land use changes, power generation, and dam and levee construction. In cities, engineering practices advocate straightening, enlarging, and converting the natural rivers and streams into concrete channels to maximize the efficiency of conveying the floodwaters away from populated areas. These engineering structures disrupt the natural equilibrium of fluvial systems and eliminate macroinvertebrates and aquatic and riparian species in watercourses. With a growing awareness of the value of the natural riverine ecosystems, a global movement of river management has shifted from manipulation and control to restoration and conservation in the past decade The objective of this research is to develop a general stream restoration approach for providing low flow habitat in flood control channels in highly urbanized areas. The restoration goals are: (i) to provide a natural and selfsustainable river and geomorphic system; (ii) to establish appropriate pools and riffles and in-stream covers for extending and providing a better living conditions of the aquatic habitats; and (iii) to maintain flood control function. A concrete flood channel in Yuen Long, Hong Kong, that drains into a nature reserve, the Mai Po Nature Reserve in Deep Bay, will be used as a pilot site to demonstrate the design methodology and application of the flood channel restoration approach. Meanders, deflectors and instream covers will be applied to the
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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".