Developing of an urban environmental quality indicator

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSorocaba University (UNISO)-
Autor(es): dc.creatorSousa, Jocy A. P.-
Autor(es): dc.creatorSales, Jomil C. A.-
Autor(es): dc.creatorSilva, Darllan C. C.-
Autor(es): dc.creatorSilva, Rita C. F.-
Autor(es): dc.creatorLourenço, Roberto W.-
Data de aceite: dc.date.accessioned2025-08-21T16:19:22Z-
Data de disponibilização: dc.date.available2025-08-21T16:19:22Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.24057/2071-9388-2020-210-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/229162-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/229162-
Descrição: dc.descriptionHuman intervention on vegetation cover has always had a negative impact on the environment, directly affecting the quality of life in urban areas. Therefore, this study aimed to develop a methodology for the construction of an urban environmental quality indicator (UEQI) that could reflect the environmental quality of urban areas considering the vegetation conditions to which the resident population is exposed. For this, the method sought to integrate data on demographic density (Dd), leaf area index (LAI), normalized difference vegetation index (NDVI), and surface temperature (St). The Mamdani fuzzy inference system was used to generate a rule base containing 108 variations and a defuzzed output with five condition classes, ranging from very bad to excellent. The results showed that the studied area is characterized by a very bad to good UEQI, with most neighbourhoods having poor conditions (64.51%) and only two with good conditions. It was found that in general the studied area has unsatisfactory environmental quality, showing the need for initiatives aimed at urban afforestation in order to improve the quality of life for the studied population. It can be concluded that UEQI proved to be an efficient tool to identify priority areas for the planning and management of vegetation cover in urbanized areas, enabling the improvement of people’s living conditions.-
Descrição: dc.descriptionSão Paulo State University (UNESP) Institute of Science and Technology, Sorocaba Campus, 511, 3 March Avenue, P.O. box 18087-180-
Descrição: dc.descriptionSorocaba University (UNISO), Raposo Tavares, km, 92.5 Road, P.O. box 18023-000-
Descrição: dc.descriptionSão Paulo State University (UNESP), Registro Campus, 430, Nelson Brihi Badur Avenue, P.O. box 11900-000-
Descrição: dc.descriptionSão Paulo State University (UNESP) Institute of Science and Technology, Sorocaba Campus, 511, 3 March Avenue, P.O. box 18087-180-
Descrição: dc.descriptionSão Paulo State University (UNESP), Registro Campus, 430, Nelson Brihi Badur Avenue, P.O. box 11900-000-
Formato: dc.format30-41-
Idioma: dc.languageen-
Relação: dc.relationGeography, Environment, Sustainability-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectFuzzy logic-
Palavras-chave: dc.subjectPopulation dynamics-
Palavras-chave: dc.subjectUrban areas-
Palavras-chave: dc.subjectVegetation indexes-
Título: dc.titleDeveloping of an urban environmental quality indicator-
Tipo de arquivo: dc.typevídeo-
Aparece nas coleções:Repositório Institucional - Unesp

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