Combinative Study of Urban Heat Island in Ascoli Piceno City with Remote Sensing and CFD Simulation—Climate Change and Urban Health Resilience—CCUHRE Project

Roberta Cocci Grifoni, Giorgio Caprari and Graziano Enzo Marchesani
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Roberta Cocci Grifoni: School of Architecture and Design, University of Camerino, 63100 Ascoli Piceno, Italy
Giorgio Caprari: School of Architecture and Design, University of Camerino, 63100 Ascoli Piceno, Italy
Graziano Enzo Marchesani: School of Architecture and Design, University of Camerino, 63100 Ascoli Piceno, Italy

Sustainability, 2022, vol. 14, issue 2, 1-21

Abstract: This paper presents a new methodological approach for analysing the impacts of climate change on the urban habitat and improving the quality of life for citizens. The study falls within the diagnostic phase of the Climate Change and Urban Health Resilience (CCUHRE) research project applied to the rationalist neighbourhood of Monticelli, a suburb of Ascoli Piceno (Italy). The methodological approach tests innovative and multidisciplinary cognitive tools to quantify the impacts of climate change and create refined risk maps combining remote sensing, spatial data, satellite images, and thermal fluid dynamic (CFD) simulations. These tools created an atlas of green areas and surfaces using scientific indexes that describe the relationship between the urban form and heat and between the type of ground and materials. The information yielded by geoprocessing will allow critical aspects in the context to be addressed with site-specific strategies. In fact, through downscaling, it is possible to analyse the thermal fluid dynamics characteristics of the most significant urban areas and identify the related weather/climate characteristics, perceptual scenarios, and thermal stressed regions. The results have provided a dataset that defines the degree of vulnerability of the neighbourhood and identifies the areas exposed to thermal risk.

Keywords: urban heat island; remote sensing; CFD analysis; urban thermal comfort; urban risk map (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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