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

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dc.contributor.authorTomás, Lívia Rodrigues
dc.contributor.authorSoares, Giovanni Guarnieri
dc.contributor.authorJorge‬, ‪Aurelienne Aparecida Souza
dc.contributor.authorMendes, Jeferson Feitosa
dc.contributor.authorFreitas, Vander Luis de Souza
dc.contributor.authorSantos, Leonardo Bacelar Lima
dc.date.accessioned2023-07-26T19:22:11Z
dc.date.available2023-07-26T19:22:11Z
dc.date.issued2022pt_BR
dc.description.abstractCities 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.pt_BR
dc.identifier.citationTOMÁS, L. R. et al. Flood risk map from hydrological and mobility data: a case study in São Paulo-Brazil. Transactions in GIS, v. 26, n. 5, p. 2341-2365, ago. 2022. Disponível em: <https://onlinelibrary.wiley.com/doi/10.1111/tgis.12962>. Acesso em: 06 jul. 2023.pt_BR
dc.identifier.doihttps://doi.org/10.1111/tgis.12962pt_BR
dc.identifier.issn1467-9671
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/17067
dc.identifier.uri2https://onlinelibrary.wiley.com/doi/10.1111/tgis.12962pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.titleFlood risk map from hydrological and mobility data : a case study in São Paulo-Brazil.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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