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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/51303
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dc.creatorDaniele Gomes Ferreirapt_BR
dc.creatorCarolina Bordoni Dinizpt_BR
dc.creatorEleonora Sad de Assispt_BR
dc.date.accessioned2023-03-28T22:41:51Z-
dc.date.available2023-03-28T22:41:51Z-
dc.date.issued2021-02-
dc.citation.volume36pt_BR
dc.citation.spage1pt_BR
dc.citation.epage13pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.uclim.2021.100788pt_BR
dc.identifier.issn2212-0955pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/51303-
dc.description.resumoThe urban form representation to apply in studies of urban climate is a challenge especially in cities of developing countries. These cities lack planning, thus the urban fabric is heterogeneous and several types of buildings are mixed in the same area. Considering this reality, the paper will compare three methods to calculate urban surface parameters. These parameters were compared with the WUDAPT classification. The software QGIS was used to develop models to calculate the following urban surface parameters: plan area ratio (λp), complete building aspect ratio (λbc), and mean height of buildings (hm). Three grid size were applied for calculations: 100 m, 500 m, and 1 km. λbc was the only geometric property able to express the difference of density and the absolute size of the active surface of buildings as a unique parameter. The methods developed have some advantages: (a) they are based on realistic shapes of buildings, (b) they were developed in a free and open source system, (c) and it is possible to vary the calculation grid size.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageporpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentARQ - ESCOLA DE ARQUITETURApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofUrban Climate-
dc.rightsAcesso Restritopt_BR
dc.subjectUrban surface parameterspt_BR
dc.subjectLocal Climate Zonespt_BR
dc.subjectQGispt_BR
dc.subject.otherClimatologiapt_BR
dc.subject.otherPlanejamento urbanopt_BR
dc.titleMethods to calculate urban surface parameters and their relation to the LCZ classificationpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.sciencedirect.com/science/article/pii/S2212095521000183pt_BR
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