Impact of suburban landscape on outdoor thermal comfort in tropical savanna climate
Bibliographic record
Abstract
This study examines the effects of various urban land cover compositions and the ratio of canyon height to canyon width on outdoor thermal comfort (OTC) in Panama City. For this purpose, the study conducted simulations with ENVI-met on three neighborhood complexes during the hottest day of the year. The study measured air temperatures and relative humidity in the three neighborhoods to validate the simulation results. The simulations utilized the measured data to evaluate outdoor thermal comfort by analyzing the Humidex. This index describes how hot the weather feels, combining the effects of air temperature and relative humidity. Results of the linear regression indicate that at 12:00 h and 15:00 h, the Humidex values decreased as the lawn cover increased. Additionally, the study observed that higher aspect ratios led to lower Humidex values at 12:00 h and 15:00 h. The results for tree canopy cover suggest that the cooling effect decreased during the hottest hours of the day. This result is likely due to a reduction in the trees’ cooling capacity, linked to the limitation of plant evapotranspiration. These findings provide valuable guidance for planners when determining lawn coverage and aspect ratios to improve outdoor thermal comfort in tropical savanna cities.
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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 | 0.000 | 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) | 0.001 | 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".