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Estimating the cooling capacity of green infrastructures to support urban planning

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  • Zardo, L.
  • Geneletti, D.
  • Pérez-Soba, M.
  • Van Eupen, M.

Abstract

Heatwaves are threatening human wellbeing in our cities, but Green Urban Infrastructures (GUI) can contribute to reduce temperatures and the associated health risks, by virtue of their cooling capacity. GUI present different typologies and consequently different key components, such as soil cover, tree canopy cover and shape, which determines their capacity to provide cooling. The aim of this study is to propose an approach to estimate the cooling capacity provided by GUI in order to generate useful information for urban planners. The methods are based on the review of the literature to identify the functions of GUI that are involved in providing cooling, and the components of GUI that determine those functions, and then to combine them to provide an overall assessment of the cooling capacity. The approach was used to assess 50 different typologies of GUI, which are result of different combinations of the components that influence the cooling, for three climatic regions. An illustrative case study in the city of Amsterdam show the applicability of the approach. This work provides a contribution in the panorama of Ecosystem Service assessment tools to support the mainstreaming of Ecosystem-based measures (such as the creation of GUI) in the planning practice.

Suggested Citation

  • Zardo, L. & Geneletti, D. & Pérez-Soba, M. & Van Eupen, M., 2017. "Estimating the cooling capacity of green infrastructures to support urban planning," Ecosystem Services, Elsevier, vol. 26(PA), pages 225-235.
    • Handle: RePEc:eee:ecoser:v:26:y:2017:i:pa:p:225-235
    DOI: 10.1016/j.ecoser.2017.06.016
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    19. Marando, Federica & Salvatori, Elisabetta & Sebastiani, Alessandro & Fusaro, Lina & Manes, Fausto, 2019. "Regulating Ecosystem Services and Green Infrastructure: assessment of Urban Heat Island effect mitigation in the municipality of Rome, Italy," Ecological Modelling, Elsevier, vol. 392(C), pages 92-102.
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