Green Envelopes: Contribution of Green Roofs, Green Facades, and Green Streets to Reducing Stormwater Runoff, CO <sub>2</sub> Emissions, and Energy Demand in Cities
Bibliographic record
Abstract
The research focuses on the environmental benefits derived from an overall intervention of green envelope types [roofs, façades and streets] in the city core of Vancouver, Canada. To achieve this, it analyzes previous precedents conducted in cities such as Berlin, Germany; Malmö, Sweden; Toronto, Vancouver, Canada; Chicago and Seattle, USA; and applies the data to a particular case study area in Downtown Vancouver. It then applies the Seattle Green Factor to the case study area, and quantifies the contribution of the green envelope interventions in order to ameliorate environmental impacts in terms of reducing stormwater runoff, CO2 emissions, and energy demand by buildings. Calculated results from the case study area shows that the addition of green roofs, green façades and green streets would reduce stormwater runoff up to 13% (4% by green roofs, 3% by green streets and 6% by green façades), reduce building energy demand by 9%, and CO2 emissions by 12%. With these findings, the paper proposes a new Vancouver Green Factor for the selected area, which introduces new concepts to these types of green factors, such as the volumetric value of urban surfaces.
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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) | 0.000 | 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".