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A mesoscale modeling analysis of green roof impact in the thermal field in the mediterranean Chilean urban areas

dc.contributor.authorBueno de Morais, Marcos V.
dc.contributor.authorUrbina Guerrero, Viviana V.
dc.contributor.authorDroprinchinski Martins, Leila
dc.contributor.authorMarciotto, Edson R.
dc.date.accessioned2024-01-16T17:42:58Z
dc.date.available2024-01-16T17:42:58Z
dc.date.issued2023
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/5185
dc.description.abstractIn the smart cities context, using green roofs can contribute to making cities more resilient, mitigating effects in the urban thermal field, such as urban heat island. In addition, mesoscale models of weather forecasting can contribute to short-term decision-making by public managers. Thus, this work presents an analysis of the impact of green roofs in Chilean Mediterranean cities, with this modeling tool, on meteorological variables. These cities are considered small and medium-sized. The results shows that the green roof reduces the temperature in Talca by up 1.28 °C, while the coastal city of Concepción decreases up to 0.1 °C. The turbulent kinect energy also reduces with the presence of vegetated roof compared with conventional roofs, influencing in the dispersion of pollutants. In general, the intensive use of green roofs in clusters of small cities can act as moisture and heat suppliers due to the advection effect, thus contributing to mitigating heat island effects.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceProceedings of 2023 IEEE International Smart Cities Conference, ISC2, 2023, 01-05es_CL
dc.subjectAnalytical modelses_CL
dc.subjectSmart citieses_CL
dc.subjectAtmospheric modelinges_CL
dc.subjectWeather forecastinges_CL
dc.subjectSea measurementses_CL
dc.subjectMoisturees_CL
dc.subjectVegetationes_CL
dc.titleA mesoscale modeling analysis of green roof impact in the thermal field in the mediterranean Chilean urban areases_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias de la Ingenieríaes_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.uriieeexplore.ieee.org/document/10293584/metrics#metricses_CL
dc.ucm.doidoi.org/10.1109/ISC257844.2023.10293584es_CL


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Atribución-NoComercial-SinDerivadas 3.0 Chile
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