Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Vanessa Conceição dos Santos"'
1
Akademický článek
ANÁLISE DO ESCOAMENTO SUPERFICIAL EM PEQUENAS BACIAS HIDROGRÁFICAS NO LESTE DA AMAZÔNIA
Autor: Danilo Athus Fonseca França, Vanessa Conceição dos Santos, Carlos Eduardo Aguiar de Souza Costa
Publikováno v: Conexões: Ciência e Tecnologia, Vol 16 (2022)
No estudo de enxurradas e/ou enchentes, falhas na estimativa dos volumes gerados podem acarretar grandes prejuízos, e a ausência de dados para realizar estas análises em pequenas bacias hidrográficas é um problema em todo o Brasil, principalment
Externí odkaz: https://doaj.org/article/9c5210a2fc204ef2820b2a46c0796d1b
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2
Akademický článek
Distribution of rainfall probability in the Tapajos River Basin, Amazonia, Brazil
Autor: Vanessa Conceição dos Santos, Claudio Blanco, José Francisco de Oliveira Júnior
Publikováno v: Revista Ambiente & Água, Vol 14, Iss 3, Pp 1-21 (2019)
Studies on the probability of rainfall and its spatiotemporal variations are important for the planning of water resources and optimization of the calendar of agricultural activities. This study identifies the occurrence of rain by first-order Markov
Externí odkaz: https://doaj.org/article/70cf27dc2e0e48538b90e091994d4a39
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3
Akademický článek
Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon
Autor: Mariane Furtado Gonçalves, Claudio José Cavalcante Blanco, Vanessa Conceição dos Santos, Luciana Leal dos Santos Oliveira, Francisco Carlos Lira Pessoa
Publikováno v: Acta Scientiarum: Technology, Vol 38, Iss 2, Pp 209-216 (2016)
The statistical analysis of rainfall data is a tool to identify homogenous clusters which reveal the behavior pattern of the rainfall regime in a given region. Current study identifies homogenous clusters in the state of Pará in the Amazon region, B
Externí odkaz: https://doaj.org/article/6089a6c94faa4258b30696b37d68149c
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4
Akademický článek
Homogenous regions and rainfall probability models considering El Niño and La Niña in the State of Pará in the Amazon
Autor: Mariane Furtado Gonçalves, Claudio José Cavalcante Blanco, Vanessa Conceição dos Santos, Luciana Leal dos Santos Oliveira
Publikováno v: Acta Scientiarum: Technology, Vol 40, Iss 1, Pp e37742-e37742 (2018)
The determination of homogeneous regions with precipitation and probability models when considering the El Niño- Southern Oscillation (ENSO) phenomenon is important for the planning of water resources and for the study of how climate change affects
Externí odkaz: https://doaj.org/article/c313d3b3b2a4474ea1c53db50d448a2c
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5
Influência de fenômenos climáticos sobre o regime de vazões na Bacia Hidrográfica do Rio Tapajós
Autor: Eduarda Silva de Sousa, Vanessa Conceição dos Santos, Carlos Eduardo Aguiar de Souza Costa
Publikováno v: Holos Environment. 22:18-30
O monitoramento de eventos hidrológicos e a análise da variabilidade espaço-temporal da precipitação são instrumentos significativos no gerenciamento hídrico, bem como identificar alguns sistemas climáticos e fenômenos, observando como estes
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66a93e60d532f0578b09c627cb0de808
https://doi.org/10.14295/holos.v22i1.12464
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8
Identification of Rainfall Homogenous Regions taking into account El Niño and La Niña and Rainfall Decrease in the state of Pará, Brazilian Amazon
Autor: Francisco Carlos Lira Pessoa, Vanessa Conceição dos Santos, Claudio José Cavalcante Blanco, Mariane Furtado Gonçalves, Luciana Leal dos Santos Oliveira
Publikováno v: Acta Scientiarum: Technology, Vol 38, Iss 2, Pp 209-216 (2016)
Acta Scientiarum. Technology; Vol 38 No 2 (2016); 209-216
Acta Scientiarum. Technology; v. 38 n. 2 (2016); 209-216
Acta scientiarum. Technology
Universidade Estadual de Maringá (UEM)
instacron:UEM
The statistical analysis of rainfall data is a tool to identify homogenous clusters which reveal the behavior pattern of the rainfall regime in a given region. Current study identifies homogenous clusters in the state of Para in the Amazon region, Br
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20614f940a27af562e74c532ba3dc908
http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/26534
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9
Distribution of rainfall probability in the Tapajos River Basin, Amazonia, Brazil
Autor: José Francisco de Oliveira Júnior, Vanessa Conceição dos Santos, Claudio José Cavalcante Blanco
Publikováno v: Revista Ambiente & Água, Vol 14, Iss 3, Pp 1-21 (2019)
Revista Ambiente & Água v.14 n.3 2019
Revista Ambiente & Água
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron:IPABHI
Revista Ambiente & Água, Volume: 14, Issue: 3, Article number: e2284, Published: 03 JUN 2019
Studies on the probability of rainfall and its spatiotemporal variations are important for the planning of water resources and optimization of the calendar of agricultural activities. This study identifies the occurrence of rain by first-order Markov
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f29f20ffe16cb49bb705e8b2f87d865
https://doi.org/10.4136/ambi-agua.2284
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10
Homogenous regions and rainfall probability models considering El Niño and La Niña in the State of Pará in the Amazon
Autor: Claudio José Cavalcante Blanco, Vanessa Conceição dos Santos, Mariane Furtado Gonçalves, Luciana Leal dos Santos Oliveira
Publikováno v: Acta Scientiarum: Technology, Vol 40, Iss 1, Pp e37742-e37742 (2018)
Acta Scientiarum. Technology; Vol 40 (2018): Publicação Contínua; e37742
Acta Scientiarum. Technology; v. 40 (2018): Publicação Contínua; e37742
Acta scientiarum. Technology
Universidade Estadual de Maringá (UEM)
instacron:UEM
The determination of homogeneous regions with precipitation and probability models when considering the El Niño- Southern Oscillation (ENSO) phenomenon is important for the planning of water resources and for the study of how climate change affects
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594749c4c2293d7fb68b3b3e74853f8e
https://doi.org/10.4025/actascitechnol.v40i1.37742
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