SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL

Detalhes bibliográficos
Autor(a) principal: Lima, Julião Soares de Souza
Data de Publicação: 2017
Outros Autores: Silva, Samuel Assis, Bernardes, Paula Mauri, Fonseca, Abel Souza, Pereira, João Marcelo Soares
Tipo de documento: Artigo
Idioma: por
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/632
Resumo: Knowing the amount, intensity and spatial distribution of rainfall contribute to management actions in various sectors of human activity. This work aimed to study the spatial variability of rainfall in the state of the Espírito Santo- Brazil for each month using observation stations of the National Water Agency (NWA), with intervals of observations of 25 to 70 years. By analyzing the monthly precipitation series found the presence of high total amplitude in the data. And thus it was decided to work with the value of the percentiles 75 series each month as the highest rainfall, preventing inform climate anomalies. Data were analyzed by classical statistic measures determining the position and dispersion. Following used geostatistics to defne semivariograms and construction of maps of the spatial distribution of rainfall in each month, using the ordinary kriging. The months with minor occurrences of the percentile 75, setting the dry season, were from april to september. Percentiles 75 Monthly rainfall has strong spatial dependence, except in january, and the spatial dependence ranges vary from 41.6 to 210.6 km between the months. The spatial distribution of percentiles 75 of rainfall showed different microclimates in the state, showing that the municipalities that make up the northwest region has the lowest rainfall, especially in June. The months december, november and january have greater height of rainfall.
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spelling SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZILVARIABILIDADE ESPACIAL DOS PERCENTIS 75 DA PRECIPITAÇÃO PLUVIAL MENSAL NO ESTADO DO ESPÍRITO SANTOgeoestatísticapostos pluviométricossemivariogramaKnowing the amount, intensity and spatial distribution of rainfall contribute to management actions in various sectors of human activity. This work aimed to study the spatial variability of rainfall in the state of the Espírito Santo- Brazil for each month using observation stations of the National Water Agency (NWA), with intervals of observations of 25 to 70 years. By analyzing the monthly precipitation series found the presence of high total amplitude in the data. And thus it was decided to work with the value of the percentiles 75 series each month as the highest rainfall, preventing inform climate anomalies. Data were analyzed by classical statistic measures determining the position and dispersion. Following used geostatistics to defne semivariograms and construction of maps of the spatial distribution of rainfall in each month, using the ordinary kriging. The months with minor occurrences of the percentile 75, setting the dry season, were from april to september. Percentiles 75 Monthly rainfall has strong spatial dependence, except in january, and the spatial dependence ranges vary from 41.6 to 210.6 km between the months. The spatial distribution of percentiles 75 of rainfall showed different microclimates in the state, showing that the municipalities that make up the northwest region has the lowest rainfall, especially in June. The months december, november and january have greater height of rainfall.Conhecer a quantidade, intensidade e a distribuição espacial da precipitação pluvial contribuem para o gerenciamento de ações em vários setores da atividade humana. Nesse trabalho objetivou-se estudar a variabilidade espacial da precipitação no estado do Espírito Santo para cada mês, utilizando postos de observações da Agência Nacional de Águas (ANA), com intervalos de observações de 25 a 70 anos. Ao analisar a série de precipitação pluvial mensal constatou-se a presença de elevada amplitude total nos dados. Sendo assim, optou-se em trabalhar com o valor dos percentis 75 da série em cada mês como a maior precipitação, evitando informar anomalias climáticas. Os dados foram analisados pela estatística clássica determinando as medidas de posição e dispersão. Na sequência utilizou a geoestatística para definição de semivariogramas e a construção de mapas da distribuição espacial da precipitação em cada mês, utilizando a krigagem ordinária. Os meses com menor ocorrência do percentil 75, definindo a estação de seca, foram de abril a setembro. Os percentis 75 da precipitação pluvial mensal apresenta forte dependência espacial, com exceção no mês de janeiro, sendo que os alcances de dependência espacial variam de 41,6 a 210,6 km entre os meses. A distribuição espacial dos percentis 75 da precipitação pluvial evidenciou diferentes microclimas no estado, mostrando que os municípios que compõem a região noroeste tem menor ocorrência de precipitação, principalmente no mês de junho. O mês de dezembro, novembro e janeiro apresentam maiores lâminas de precipitação pluvial.Universidade Federal de Viçosa - UFV2017-01-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/63210.13083/reveng.v24i5.700Engineering in Agriculture; Vol. 24 No. 5 (2016); 393-405Revista Engenharia na Agricultura - REVENG; v. 24 n. 5 (2016); 393-4052175-68131414-398410.13083/reveng.v24i5reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/632/419Lima, Julião Soares de SouzaSilva, Samuel AssisBernardes, Paula MauriFonseca, Abel SouzaPereira, João Marcelo Soaresinfo:eu-repo/semantics/openAccess2023-01-19T13:31:49Zoai:ojs.periodicos.ufv.br:article/632Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:31:49Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
VARIABILIDADE ESPACIAL DOS PERCENTIS 75 DA PRECIPITAÇÃO PLUVIAL MENSAL NO ESTADO DO ESPÍRITO SANTO
title SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
spellingShingle SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
Lima, Julião Soares de Souza
geoestatística
postos pluviométricos
semivariograma
title_short SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
title_full SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
title_fullStr SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
title_full_unstemmed SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
title_sort SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
author Lima, Julião Soares de Souza
author_facet Lima, Julião Soares de Souza
Silva, Samuel Assis
Bernardes, Paula Mauri
Fonseca, Abel Souza
Pereira, João Marcelo Soares
author_role author
author2 Silva, Samuel Assis
Bernardes, Paula Mauri
Fonseca, Abel Souza
Pereira, João Marcelo Soares
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lima, Julião Soares de Souza
Silva, Samuel Assis
Bernardes, Paula Mauri
Fonseca, Abel Souza
Pereira, João Marcelo Soares
dc.subject.por.fl_str_mv geoestatística
postos pluviométricos
semivariograma
topic geoestatística
postos pluviométricos
semivariograma
description Knowing the amount, intensity and spatial distribution of rainfall contribute to management actions in various sectors of human activity. This work aimed to study the spatial variability of rainfall in the state of the Espírito Santo- Brazil for each month using observation stations of the National Water Agency (NWA), with intervals of observations of 25 to 70 years. By analyzing the monthly precipitation series found the presence of high total amplitude in the data. And thus it was decided to work with the value of the percentiles 75 series each month as the highest rainfall, preventing inform climate anomalies. Data were analyzed by classical statistic measures determining the position and dispersion. Following used geostatistics to defne semivariograms and construction of maps of the spatial distribution of rainfall in each month, using the ordinary kriging. The months with minor occurrences of the percentile 75, setting the dry season, were from april to september. Percentiles 75 Monthly rainfall has strong spatial dependence, except in january, and the spatial dependence ranges vary from 41.6 to 210.6 km between the months. The spatial distribution of percentiles 75 of rainfall showed different microclimates in the state, showing that the municipalities that make up the northwest region has the lowest rainfall, especially in June. The months december, november and january have greater height of rainfall.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/reveng/article/view/632
10.13083/reveng.v24i5.700
url https://periodicos.ufv.br/reveng/article/view/632
identifier_str_mv 10.13083/reveng.v24i5.700
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/632/419
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 24 No. 5 (2016); 393-405
Revista Engenharia na Agricultura - REVENG; v. 24 n. 5 (2016); 393-405
2175-6813
1414-3984
10.13083/reveng.v24i5
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
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