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Tipo da ReferênciaBook Section
Identificador8JMKD3MGP3W/3LS9S2S
Repositóriosid.inpe.br/plutao/2016/06.13.19.25   (acesso restrito)
Metadadossid.inpe.br/plutao/2016/06.13.19.25.01
Siteplutao.sid.inpe.br
DOI10.1007/978-3-319-32467-8_100
Rótulolattes: 8626122636195184 5 VasconcelosSanNetFerVas:2016:UsTwRa
ISBN9783319324661
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoVasconcelosSantFiguFerr:2016:UsTwRa
Autor1 Vasconcelos, Luiz Eduardo Guarino de
2 Santos, Eder C. M.
3 Figueiredo Neto, Mário Lemes de
4 Ferreira, Nelson Jesus
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JHUB
Grupo1 DSA-CPT-INPE-MCTI-GOV-BR
2
3 DSA-CPT-INPE-MCTI-GOV-BR
4 DSA-CPT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 luiz.guarino@cptec.inpe.br
2
3 mario.figueiredo@inpe.br
4 nelson.ferreira@inpe.br
TítuloUsing Tweets for Rainfall Monitoring
Título do LivroAdvances in Intelligent Systems and Computing
Ano2016
EditorLafiti, Shahram
Volume448
Título da SérieAdvances in Intelligent Systems and Computing
Editora (Publisher)Springer International Publishing
Palavras-ChaveTwitter, Hashtags, Geolocation, Social media analysis.
ResumoIn Brazil, the summer season is the wettest period in which many disasters can happen, such as landslides and floods. In recent years, even with the rainy season, the metropolitan region of São Paulo (Brazil) suffers a severe water crisis. Given this scenario, monitoring of rainfall is fundamental for taking preventive actions and planning in the various business branches. Thus, the use of computers to develop tools that assist the rainfall monitoring can help extend the coverage of the existing solutions. Moreover, it is known that, every day, the number of social media users is increasing, and consequently increases the amount of content published in these medias. The objective of this study is to analyze the contents of the Twitter social media, especially the tweets related to rainfall events in order to determine whether this information can contribute to the monitoring of rainfall events in Brazil. More than 1 million tweets published in Brazil related to rainfall were collected in a period of 30 days. Gathered tweets were analyzed and evaluated taking into account the data collected by automatic weather stations (AWS or EMA). The results were satisfactory and indicate a relationship between the geolocated tweets and data from AWS.
Páginas1157-1167
NotasInternational Conference on Information Technology, 13
Idiomapt
URL (dados não confiáveis)http://link.springer.com/10.1007/978-3-319-32467-8_100
Tipo SecundárioPRE LI
AreaMET
Nota TerciáriaTrabalho não Vinculado à Tese/Dissertação
Tamanho2062 KiB
Número de Arquivos1
Última Atualização2016:06.15.12.30.39 dpi.inpe.br/plutao@80/2008/08.19.15.01 administrator
Última Atualização dos Metadados2018:06.04.23.26.06 dpi.inpe.br/plutao@80/2008/08.19.15.01 administrator {D 2016}
Estágio do Documentoconcluido
É a matriz ou uma cópia?é a matriz
Espelhourlib.net/www/2011/03.29.20.55
e-Mail (login)simone
Grupo de Usuárioslattes
self-uploading-INPE-MCTI-GOV-BR
Visibilidadeshown
Transferível1
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
Tipo do ConteudoExternal Contribution
Estágio do Documentonot transferred
Tipo de Versãofinaldraft
Permissão de Leituradeny from all and allow from 150.163
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
Histórico2016-06-13 19:25:01 :: lattes -> administrator ::
2016-06-15 12:07:01 :: administrator -> simone :: 2016
2016-06-15 12:26:34 :: simone -> administrator :: 2016
2016-06-15 12:29:14 :: administrator -> simone :: 2016
2016-06-20 13:14:15 :: simone -> administrator :: 2016
2018-06-04 23:26:06 :: administrator -> simone :: 2016
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Data de Acesso19 out. 2020
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