Flood risk map from hydrological and mobility data : a case study in São Paulo-Brazil.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorTomás, Lívia Rodrigues-
Autor(es): dc.creatorSoares, Giovanni Guarnieri-
Autor(es): dc.creatorJorge‬, ‪Aurelienne Aparecida Souza-
Autor(es): dc.creatorMendes, Jeferson Feitosa-
Autor(es): dc.creatorFreitas, Vander Luis de Souza-
Autor(es): dc.creatorSantos, Leonardo Bacelar Lima-
Data de aceite: dc.date.accessioned2025-08-21T15:41:55Z-
Data de disponibilização: dc.date.available2025-08-21T15:41:55Z-
Data de envio: dc.date.issued2023-07-26-
Data de envio: dc.date.issued2023-07-26-
Data de envio: dc.date.issued2021-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/jspui/handle/123456789/17067-
Fonte completa do material: dc.identifierhttps://onlinelibrary.wiley.com/doi/10.1111/tgis.12962-
Fonte completa do material: dc.identifierhttps://doi.org/10.1111/tgis.12962-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1021872-
Descrição: dc.descriptionCities increasingly face flood risk primarily due to exten-sive changes of the natural land cover to built-up areas with impervious surfaces. In urban areas, flood impacts come mainly from road interruption. This article proposes an urban flood risk map from hydrological and mobility data, considering the megacity of São Paulo, Brazil, as a case study. We estimate the flood susceptibility through the Height Above the Nearest Drainage algorithm; and the potential impact through the exposure and vulnerability components. We aggregate all variables into a regular grid and then classify the cells of each component into three classes: Moderate, High, and Very High. All components, except the flood susceptibility, have few cells in the Very High class. The flood susceptibility component reflects the presence of watercourses, and it has a strong influence on the location of those cells classified as Very High.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Título: dc.titleFlood risk map from hydrological and mobility data : a case study in São Paulo-Brazil.-
Aparece nas coleções:Repositório Institucional - UFOP

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