Effect of Sampietrini Pavers on Urban Heat Islands
- PMID: 34948720
- PMCID: PMC8701738
- DOI: 10.3390/ijerph182413108
Effect of Sampietrini Pavers on Urban Heat Islands
Abstract
Cool pavements are reflective and/or permeable pavements that improve microclimate of urban areas where heat islands cause discomfort to citizens. Stone pavements lower surface temperatures and reduce the amount of heat absorbed. This study assessed, using ENVI-met 4.3 LITE software, how air temperature and predicted mean vote depend on physical properties of the road pavement. A comparative microclimatic analysis was implemented on a rectangular square in Rome (Italy) in the summer, paved in three different ways: asphalt, traditional sampietrini, and permeable sampietrini. The model considered local weather parameters, surrounding fabric, and vegetation to give reliable results in terms of numerical and graphical output using the application tool Leonardo. The tested pavement types affected air temperature during the day, but did not influence this variable in the early morning. Permeable sampietrini pavement was more effective than traditional sampietrini pavement in reducing air temperature compared to the current asphalt surface. The road pavement did not, however, affect human comfort in terms of predicted mean vote. The obtained results are useful for further investigation of parameters that could modify the microclimatic conditions of urban areas.
Keywords: air temperature; albedo; cool pavements; emissivity; permeability; sampietrini; urban heat island.
Conflict of interest statement
The authors declare no conflict of interest.
Figures



















References
-
- Alvarez I., Quesada-Ganuza L., Briz E., Garmendia L. Urban heat islands and thermal comfort: A case study of Zorrotzaurre island in Bilbao. Sustainability. 2021;13:6106. doi: 10.3390/su13116106. - DOI
-
- Paltsev S., Monier E., Scott J., Sokolov A., Reilly J. Integrated economic and climate projections for impact assessment. Clim. Chang. 2015;131:21–33. doi: 10.1007/s10584-013-0892-3. - DOI
-
- Agrawal I.N., Pandey V.K., Mishra S.K., Pandey V.S., Agrawal N., Banerjee K. Modeling seasonal trends in optimum temperatures over India. J. Water Clim. Chang. 2021;12:1420–1436. doi: 10.2166/wcc.2020.072. - DOI
-
- Faroughi M., Karimimoshaver M., Aram F., Solgi E., Mosavi A., Nabipour N., Chau K.W. Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship. Eng. Appl. Comput. Fluid Mech. 2020;14:254–270. doi: 10.1080/19942060.2019.1707711. - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources