Prioritizing social vulnerability in urban heat mitigation.

Weather Research and Forecasting model heat waves social vulnerability urban overheat mitigation urban trees

Journal

PNAS nexus
ISSN: 2752-6542
Titre abrégé: PNAS Nexus
Pays: England
ID NLM: 9918367777906676

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 19 02 2024
accepted: 29 07 2024
medline: 12 9 2024
pubmed: 12 9 2024
entrez: 12 9 2024
Statut: epublish

Résumé

We utilized city-scale simulations to quantitatively compare the diverse urban overheating mitigation strategies, specifically tied to social vulnerability and their cooling efficacies during heatwaves. We enhanced the Weather Research and Forecasting model to encompass the urban tree effect and calculate the Universal Thermal Climate Index for assessing thermal comfort. Taking Houston, Texas, and United States as an example, the study reveals that equitably mitigating urban overheat is achievable by considering the city's demographic composition and physical structure. The study results show that while urban trees may yield less cooling impact (0.27 K of Universal Thermal Climate Index in daytime) relative to cool roofs (0.30 K), the urban trees strategy can emerge as an effective approach for enhancing community resilience in heat stress-related outcomes. Social vulnerability-based heat mitigation was reviewed as vulnerability-weighted daily cumulative heat stress change. The results underscore: (i) importance of considering the community resilience when evaluating heat mitigation impact and (ii) the need to assess planting spaces for urban trees, rooftop areas, and neighborhood vulnerability when designing community-oriented urban overheating mitigation strategies.

Identifiants

pubmed: 39262852
doi: 10.1093/pnasnexus/pgae360
pii: pgae360
pmc: PMC11388001
doi:

Types de publication

Journal Article

Langues

eng

Pagination

pgae360

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of National Academy of Sciences.

Auteurs

Kwun Yip Fung (KY)

Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78712, USA.

Zong-Liang Yang (ZL)

Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78712, USA.

Alberto Martilli (A)

Atmospheric Modelling Unit, Environmental Department, CIEMAT, 28040 Madrid, Spain.

E Scott Krayenhoff (ES)

School of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada.

Dev Niyogi (D)

Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX 78712, USA.
Maseeh Department of Civil, Architectural, and Environmental Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.

Classifications MeSH