Abstract

There is growing attention to the use of greenery in urban areas, in various forms and functions, as an instrument to reduce the impact of human activities on the urban environment. The aim of this study has been to investigate the use of green roofs as a strategy to reduce the urban heat island effect and to improve the thermal comfort of indoor and outdoor environments. The effects of the built-up environment, the presence of vegetation and green roofs, and the urban morphology of the city of Turin (Italy) have been assessed considering the land surface temperature distribution. This analysis has considered all the information recorded by the local weather stations and satellite images, and compares it with the geometrical and typological characteristics of the city in order to find correlations that confirm that greenery and vegetation improve the livability of an urban context. The results demonstrate that the land-surface temperature, and therefore the air temperature, tend to decrease as the green areas increase. This trend depends on the type of urban context. Based on the results of a green-roofs investigation of Turin, the existing and potential green roofs are respectively almost 300 (257,380 m2) and 15,450 (6,787,929 m2). Based on potential assessment, a strategy of priority was established according to the characteristics of building, to the presence of empty spaces, and to the identification of critical areas, in which the thermal comfort conditions are poor with low vegetation. This approach can be useful to help stakeholders, urban planners, and policy makers to effectively mitigate the urban heat island (UHI), improve the livability of the city, reduce greenhouse gas (GHG) emissions and gain thermal comfort conditions, and to identify policies and incentives to promote green roofs.

Highlights

  • The development of cities, with the consequent use of territory and the increase in built-up areas, causes some environmental issues, such as the urban heat island (UHI) effect, which is able to increase the air temperature by 2%–5% in a city, affecting noise and air pollution, and storm water run-off [1]

  • Considering the key issues gleaned from the literature review, it is necessary to identify the main factors that affect the thermal comfort conditions in an urban environment in order to improve the quality of life and promote UHI mitigation

  • A microclimate is affected by the local urban morphology, which can be described through the Aseveral microclimate is affected by the localcanyon urbanheight-to-width morphology, which described the use of parameters

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Summary

Introduction

The development of cities, with the consequent use of territory and the increase in built-up areas, causes some environmental issues, such as the urban heat island (UHI) effect, which is able to increase the air temperature by 2%–5% in a city, affecting noise and air pollution, and storm water run-off [1]. Various UHI mitigation strategies may be used to improve the indoor and outdoor thermal comfort in urban areas [4]. An analysis of the green spaces in urban contexts is essential for urban planning to identify sustainable policies in order to improve the quality and comfort of indoor and outdoor spaces in a city [8]. The second step was the analysis of outdoor thermal comfort using weather station (WS) data, which provides information on the air temperature, relative humidity, wind speed, and solar radiation. An analysis of the thermal performance of green roofs has been performed in the last part of this work to investigate the energy and greenhouse gas (GHG) emissions savings and indoor thermal comfort conditions, in relation to different green-roof technologies

Literature Review
Research Background
GIS-Based Methodology to Evaluate Green Roofs and Green Urban Areas
Outdoor Thermal Comfort
Energy Savings and the Indoor Thermal Comfort of Green Roofs
Research Objectives
Materials and Methods
Input Data
GIS-Based Methodology
Outdoor Space Analysis
Building Analysis
Outdoor
Morphological Parameters and the Land Cover Types
Thermal Comfort Indexes
Case Study
Hourly
Monthly air temperatures of the fivecity
Landsat
Discussion
Methodology
11. NDVI from Landsat 8
Giardini Reali
14. Analysis
16. Identification
20. Aggregated
Energy
26 October–5
Conclusions
Full Text
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