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Record W6981522037

Engineering performance of rooftop gardens through field evaluation

2003· article· en· W6981522037 on OpenAlexafffundvenueabout

Bibliographic record

VenueNPARC · 2003
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsNational Research Council Canada
FundersOak Ridge National LaboratoryPublic Works and Government Services Canada
KeywordsGreen roofRoofUrban heat islandFlat roofReflective surfacesStormUrban areaStormwater
DOInot available

Abstract

fetched live from OpenAlex

Rooftop gardens or green roofs have the potential to reduce urban heat island and storm water runoff. They can also increase membrane durability, provide green space in urban area, and improve property value. Although green roofs represent an inexpensive adaptation strategy for urban area, technical information on the benefits and durability, in a Canadian context, is not available. To address these issues, the National Research Council of Canada (NRC), in collaboration with members of the North American roofing industry, has initiated a research project in 2000 to provide such information. The main objective of this study is to evaluate the engineering performance of green roofs through field study. NRC has constructed an experimental facility, the Field Roof Facility (FRF), in its Ottawa campus in 2000. This provided an experimental roof area of about 72 m2 (800 ft2). The roof is divided in two equal areas by a 1-m (3-ft) median divider: on one a generic green roof was installed and on the other a conventional roofing assembly with modified bituminous membrane was installed as a reference roof. Both roof sections were instrumented to monitor temperature profile, heat flow, solar reflectance, relative humidity, soil moisture content and storm water runoff. This setup allows direct comparison of the performance and benefits of the Green Roof and the Reference Roof. Observations from the FRF showed that a generic extensive green roof with 150 mm (6 in.) of growing medium could reduce the temperature and the daily temperature fluctuation experienced by the roof membrane significantly in the warmer months. While the exposed roof membrane on the Reference Roof was recorded to reach over 70°C (158°F) in the summer, the membrane underneath the Green Roof reached about 30°C (86°F). In spring and summer, the median daily temperature fluctuation of the membrane was reduced from 42-47°C (76-85°F) on the Reference Roof to 5-7°C (9-11°F) under the Green Roof. The Green Roof also significantly moderated the heat flow through the roofing system and reduced the average daily energy demand for space conditioning due to the heat flow through the roof in the summer by more than 75%. The Green Roof was shown to delay stormwater runoff and reduce peak runoff rate and volume. It retained 245 mm (9.64 in.) out of the 450 mm (17.72 in.) of rain fell during April to September 2002 - a reduction of 54%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.030
GPT teacher head0.300
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2003
Admission routes4
Has abstractyes

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