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Record W7165626225 · doi:10.5281/zenodo.20816519

The Efficacy of Green Roofs in Mediterranean Climates: A Critical Evaluation of Energy-Saving Potential

2021· article· en· W7165626225 on OpenAlexaff
Rupa V Belagali

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Heat Island Mitigation
Canadian institutionsImpact
Fundersnot available
KeywordsGreen roofMediterranean climateBuilding envelopeSustainabilityUrban heat islandRoofVegetation (pathology)Energy consumptionPassive solar building design

Abstract

fetched live from OpenAlex

AbstractThis study provides an exhaustive evaluation of the performance and viability of green roofsystems within the semi-arid climatic zones of Karnataka, India. As rapid urban expansioncharacterizes cities across the Deccan Plateau, the rising reliance on mechanical cooling methodssignificantly exacerbates local energy demand and contributes to the intensifying Urban HeatIsland effect. While green roofs are frequently proposed as a sustainable mitigation strategyglobally, their efficacy in the unique environment of Karnataka is challenged by systemic waterscarcity, erratic precipitation patterns, and distinct seasonal evapotranspiration rates. This articleconducts an in-depth analysis of the thermal regulation potential offered by drought-tolerantvegetation, examines the critical water requirements for sustainable system maintenance, andassesses the overall feasibility of implementation within this specific geographic and climaticcontext. By analyzing the intricate interplay between building physics and xeriscaping, thisresearch identifies the precise conditions under which green roofs serve as a net benefit to urbansustainability.The study concludes that success is contingent upon a fundamental, systemic shift towardindigenous plant selection, deep-substrate engineering, and decentralized rainwater harvestingsystems that treat rooftop water management as an essential component of building utility. Thiswork argues for a transition away from imported, water-intensive green roof models toward aregional paradigm that prioritizes drought resilience, native biodiversity, and the decoupling ofurban cooling from the potable water supply. By synthesis of existing climate data and structuralcase studies, the research offers a comprehensive roadmap for integrating ecological performanceinto the built environment of the Deccan.Keywords: Green roofs, Semi-arid climate, Karnataka, Urban Heat Island, Water efficiency,Thermal regulation, Xeriscaping, Sustainable urban planning, Deccan Plateau

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.041
GPT teacher head0.274
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2021
Admission routes1
Has abstractyes

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