Developing the IsoProbability Curves of Combination of Rainfall and Water Level for Urban Drainage Infrastructure Planning—A Case Study in Ho Chi Minh City
Bibliographic record
Abstract
To ensure efficiency and cost-effectiveness, drainage systems often need the capability to handle drainage such that the overload phenomenon only occurs with a return period greater than a certain value specific to the system. For urban areas situated in low-lying regions and influenced by tides, the flow in the drainage system depends on two natural factors: rainstorm rainfall in the area (R), and water level at the outlet (H) in the time of rainstorm. Consequently, the return period of the overload phenomenon in the drainage system will be determined by the combination of R, H causing the overload. Before conducting hydraulic calculations, it is essential to construct probability curves for the R, H combinations. This article aims to introduce a method for constructing iso-value curves representing the return period of R, H combinations. The method is applied to the case of Ho Chi Minh City as an example.
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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 | 0.002 | 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".