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Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach

Authors :
Martí Bosch
Maxence Locatelli
Perrine Hamel
Roy P. Remme
Rémi Jaligot
Jérôme Chenal
Stéphane Joost
Asian School of the Environment
Source :
Royal Society Open Science, Vol 8, Iss 12 (2021), Royal Society Open Science, Royal Society Open Science, 8(12). The Royal Society
Publication Year :
2021
Publisher :
The Royal Society, 2021.

Abstract

Urban green infrastructure, especially trees, are widely regarded as one of the most effective ways to reduce urban temperatures in heatwaves and alleviate the adverse impacts of extreme heat events on human health and well-being. Nevertheless, urban planners and decision-makers are still lacking methods and tools to spatially evaluate the cooling effects of urban green spaces and exploit them to assess greening strategies at the urban agglomeration scale. This article introduces a novel spatially explicit approach to simulate urban greening scenarios by increasing the tree canopy cover in the existing urban fabric and evaluating their heat mitigation potential. The latter is achieved by applying the InVEST urban cooling model to the synthetic land use/land cover maps generated for the greening scenarios. A case study in the urban agglomeration of Lausanne, Switzerland, illustrates the development of tree canopy scenarios following distinct spatial distribution strategies. The spatial pattern of the tree canopy strongly influences the human exposure to the highest temperatures, and small increases in the abundance of tree canopy cover with the appropriate spatial configuration can have major impacts on human health and well-being. The proposed approach supports urban planning and the design of nature-based solutions to enhance climate resilience. Published version This research has been supported by the École Polytechnique Fédérale de Lausanne (EPFL). The authors received no specific funding for this work

Details

Language :
English
ISSN :
20545703
Volume :
8
Issue :
12
Database :
OpenAIRE
Journal :
Royal Society Open Science
Accession number :
edsair.doi.dedup.....201f9d42da342b54ec45ea52f236c5d2
Full Text :
https://doi.org/10.1098/rsos.202174