Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes

Bibliographic Details
Title: Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes
Authors: Emanuele Massaro, Rossano Schifanella, Matteo Piccardo, Luca Caporaso, Hannes Taubenböck, Alessandro Cescatti, Gregory Duveiller
Source: Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Publisher Information: Nature Portfolio, 2023.
Publication Year: 2023
Collection: LCC:Science
Subject Terms: Science
More Details: Abstract The population experiencing high temperatures in cities is rising due to anthropogenic climate change, settlement expansion, and population growth. Yet, efficient tools to evaluate potential intervention strategies to reduce population exposure to Land Surface Temperature (LST) extremes are still lacking. Here, we implement a spatial regression model based on remote sensing data that is able to assess the population exposure to LST extremes in urban environments across 200 cities based on surface properties like vegetation cover and distance to water bodies. We define exposure as the number of days per year where LST exceeds a given threshold multiplied by the total urban population exposed, in person ⋅ day. Our findings reveal that urban vegetation plays a considerable role in decreasing the exposure of the urban population to LST extremes. We show that targeting high-exposure areas reduces vegetation needed for the same decrease in exposure compared to uniform treatment.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2041-1723
Relation: https://doaj.org/toc/2041-1723
DOI: 10.1038/s41467-023-38596-1
Access URL: https://doaj.org/article/7cf8da994aba4f669cd807b1af8cce46
Accession Number: edsdoj.7cf8da994aba4f669cd807b1af8cce46
Database: Directory of Open Access Journals
More Details
ISSN:20411723
DOI:10.1038/s41467-023-38596-1
Published in:Nature Communications
Language:English