Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach
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 me...
Main Authors: | , , , , , , |
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Format: | Journal Article |
Language: | English |
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2022
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Online Access: | https://hdl.handle.net/10356/163374 |
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author | Bosch, Martí Locatelli, Maxence Hamel, Perrine Remme, Roy P. Jaligot, Rémi Chenal, Jérôme Joost, Stéphane |
author2 | Asian School of the Environment |
author_facet | Asian School of the Environment Bosch, Martí Locatelli, Maxence Hamel, Perrine Remme, Roy P. Jaligot, Rémi Chenal, Jérôme Joost, Stéphane |
author_sort | Bosch, Martí |
collection | NTU |
description | 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. |
first_indexed | 2024-10-01T05:41:18Z |
format | Journal Article |
id | ntu-10356/163374 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:41:18Z |
publishDate | 2022 |
record_format | dspace |
spelling | ntu-10356/1633742023-02-28T16:41:02Z Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach Bosch, Martí Locatelli, Maxence Hamel, Perrine Remme, Roy P. Jaligot, Rémi Chenal, Jérôme Joost, Stéphane Asian School of the Environment Engineering::Environmental engineering Urban Heat Island Green Infrastructure 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 2022-12-05T04:50:22Z 2022-12-05T04:50:22Z 2021 Journal Article Bosch, M., Locatelli, M., Hamel, P., Remme, R. P., Jaligot, R., Chenal, J. & Joost, S. (2021). Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach. Royal Society Open Science, 8(12), 202174-. https://dx.doi.org/10.1098/rsos.202174 2054-5703 https://hdl.handle.net/10356/163374 10.1098/rsos.202174 34909207 12 8 202174 en Royal Society Open Science © 2021 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. application/pdf |
spellingShingle | Engineering::Environmental engineering Urban Heat Island Green Infrastructure Bosch, Martí Locatelli, Maxence Hamel, Perrine Remme, Roy P. Jaligot, Rémi Chenal, Jérôme Joost, Stéphane Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach |
title | Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach |
title_full | Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach |
title_fullStr | Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach |
title_full_unstemmed | Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach |
title_short | Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach |
title_sort | evaluating urban greening scenarios for urban heat mitigation a spatially explicit approach |
topic | Engineering::Environmental engineering Urban Heat Island Green Infrastructure |
url | https://hdl.handle.net/10356/163374 |
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