Rain-related Tweets in flooding days: a brief analysis on Tamanduateí river basin

dc.contributor.authorHossaki, Vitor Y. [UNESP]
dc.contributor.authorNegri, Rogério G. [UNESP]
dc.contributor.authorSantos, Leonardo B.L.
dc.contributor.authorTomás, Lívia
dc.contributor.authorFeitosa, Jeferson [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionCenter for Monitoring and Early Warning of Natural Disasters (CEMADEN)
dc.date.accessioned2023-07-29T13:13:37Z
dc.date.available2023-07-29T13:13:37Z
dc.date.issued2022-01-01
dc.description.abstractFlooding has become an increasingly frequent phenomenon and reason for several economic and human losses worldwide, such as the São Paulo city, Brazil. The literature has shown that Voluntary Geographic Information (VGI) data is a valuable complementary source for monitoring and analyzing hydrological and meteorological events. Face with this motivation, we extracted VGI from the Twitter social network and analyzed the frequency of meteorological-related posts before flooding/non-flooding events and its correlation with physical-meteorological measures. The obtained results indicate that Twitter is a valuable VGI source for monitoring flooding events.en
dc.description.affiliationSciences and Technology Institute São Paulo State University (UNESP)
dc.description.affiliationCenter for Monitoring and Early Warning of Natural Disasters (CEMADEN)
dc.description.affiliationUnespSciences and Technology Institute São Paulo State University (UNESP)
dc.format.extent378-383
dc.identifier.citationProceedings of the Brazilian Symposium on GeoInformatics, p. 378-383.
dc.identifier.issn2179-4847
dc.identifier.scopus2-s2.0-85159057364
dc.identifier.urihttp://hdl.handle.net/11449/247346
dc.language.isoeng
dc.relation.ispartofProceedings of the Brazilian Symposium on GeoInformatics
dc.sourceScopus
dc.titleRain-related Tweets in flooding days: a brief analysis on Tamanduateí river basinen
dc.typeTrabalho apresentado em evento

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