Investigation of Permeable Pavement Implementation in Baghdad Using PCSWMM Model
Bibliographic record
Abstract
One of the most important reasons for the frequent occurrence of rainwater flooding in Baghdad in general and Al-Huryai, part of Baghdad, in particular is the lack of runoff drainage systems in conventional pavement. Incidents of flooding have occurred on an average three times per year in many parts of the town due to heavy rain of high intensity and short duration. Using permeable pavement will help to control flooding and improve public health. The objective of this study is to investigate the important factors that describe the possible implementation of permeable pavement in Al-Huryai city using PCSWMM software and to quantify the effectiveness of this technique on the hydrologic response of the case study by comparing the simulation analyses of the site under its undeveloped condition, after development, and after implementing permeable pavement. The simulation results showed that permeable pavement approach has a significant impact on runoff reduction.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".