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Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection

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dc.contributor.authorHossaki, Vitor Y. [UNESP]
dc.contributor.authorSeron, Wilson F. M. S.
dc.contributor.authorNegri, Rogério G. [UNESP]
dc.contributor.authorLonde, Luciana R.
dc.contributor.authorTomás, Lívia R.
dc.contributor.authorBacelar, Roberta B.
dc.contributor.authorAndrade, Sidgley C.
dc.contributor.authorSantos, Leonardo B. L.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionNational Center for Monitoring and Early Warning of Natural Disasters (Cemaden)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionAnhanguera College
dc.contributor.institutionFederal University of Technology—Paraná (UTFPR)
dc.date.accessioned2023-07-29T13:11:27Z
dc.date.available2023-07-29T13:11:27Z
dc.date.issued2023-04-01
dc.description.abstractFloods are among the most frequent and costly rainfall-triggered disasters. In this context, geospatial content generated by non-professionals using geolocated systems offers the possibility of monitoring environmental events. This study shows a statistical correlation between in situsensors, radar, Twitter posts, and flooding events. Furthermore, we observed in this study that flooding-related keywords are statistically more significant on flooding days than on non-flooding days and reinforce that Twitter can be employed as a complementary data source for flood management systems.en
dc.description.affiliationSciences and Technology Institute São José dos Campos State University (UNESP)
dc.description.affiliationNational Center for Monitoring and Early Warning of Natural Disasters (Cemaden)
dc.description.affiliationDigital Media and Society Observatory Federal University of São Paulo (UNIFESP)
dc.description.affiliationDepartment of Communication Anhanguera College
dc.description.affiliationFederal University of Technology—Paraná (UTFPR)
dc.description.affiliationUnespSciences and Technology Institute São José dos Campos State University (UNESP)
dc.identifierhttp://dx.doi.org/10.3390/geosciences13040111
dc.identifier.citationGeosciences (Switzerland), v. 13, n. 4, 2023.
dc.identifier.dimensionspub.1157089934
dc.identifier.doi10.3390/geosciences13040111
dc.identifier.issn2076-3263
dc.identifier.orcid0000-0002-9555-1168
dc.identifier.orcid0000-0002-2464-1879
dc.identifier.orcid0000-0002-6494-0486
dc.identifier.orcid0000-0003-0371-7835
dc.identifier.scopus2-s2.0-85154055244
dc.identifier.urihttp://hdl.handle.net/11449/247273
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofGeosciences (Switzerland)
dc.rights.accessRightsAcesso abertopt
dc.rights.sourceRightsoa_all
dc.rights.sourceRightsgold
dc.sourceScopus
dc.sourceDimensions
dc.subjectfloods
dc.subjectrain gauge
dc.subjectTwitter
dc.subjectVGI
dc.subjectweather radar
dc.titlePhysical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detectionen
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationc73b286a-b5fa-4312-a7ec-62f987e7b514
relation.isOrgUnitOfPublication.latestForDiscoveryc73b286a-b5fa-4312-a7ec-62f987e7b514
unesp.author.orcid0000-0002-9555-1168[1]
unesp.author.orcid0000-0002-4373-1757[2]
unesp.author.orcid0000-0002-4808-2362[3]
unesp.author.orcid0000-0002-6494-0486[4]
unesp.author.orcid0000-0003-0371-7835[7]
unesp.author.orcid0000-0002-3129-772X[8]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, São José dos Campospt

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São José dos Campos - ICT - Instituto de Ciência e Tecnologia