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dc.contributor.authorSánchez Sánchez, Beatriz
dc.contributor.authorRoth, Matthias
dc.contributor.authorPatel, Pratiman
dc.contributor.authorSimón Moral, Andrés 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-09-30T14:19:48Z
dc.date.available2024-09-30T14:19:48Z
dc.date.issued2023-09
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/10902/34008
dc.description.abstractDifferences in land surface characteristics across a city produce great spatial and temporal variability in air temperature. This fact is particularly pronounced between urban and surrounding rural areas giving rise to the canopy-layer urban heat island (CL-UHI) phenomenon. In the present study, we apply the dimensional analysis technique to develop a simple semi-empirical equation to map daily maximum CL-UHI (UHImax) intensities during nighttime over the city of Singapore for specific weather conditions. By adopting the methodology proposed by Theeuwes et al., but selecting meteorological and morphological parameters that affect UHImax intensity most for Singapore, evaluation of the developed equation shows good agreement with observations (RMSE = 1.13 K and IOA = 0.76). Model performance depends strongly on wind conditions and is best during weak winds when ‘ideal’ conditions for UHI development are approached (RMSE = 0.65 K and IOA = 0.85). Results using the simple equation developed to map UHImax intensities in Singapore under dry weather conditions are comparable to those obtained from more sophisticated numerical models, which demand significant computational resources, and the complex parameterizations involved require expertise to carry out the simulations. The resulting maps of the present study can be used to investigate less favorable thermal conditions and assess population vulnerability to a certain temperature excess, as well as provide insights for urban planning strategies of mitigation measures according to the land cover and morphology of a location.es_ES
dc.description.sponsorshipThis research was mostly funded by a National University of Singapore research grant (A-0003071-00-00).es_ES
dc.format.extent17 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSustainability, 2023, 15(17), 12834es_ES
dc.subject.otherDaily maximum UHI mapses_ES
dc.subject.otherDimensional analysises_ES
dc.subject.otherSimple theoretical equationes_ES
dc.subject.otherIntra-urban air temperature variabilityes_ES
dc.subject.otherLocal climate zoneses_ES
dc.subject.otherTropical cityes_ES
dc.titleApplication of a semi-empirical approach to map maximum urban heat island intensity in Singaporees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/su151712834
dc.type.versionpublishedVersiones_ES


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.