SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , |
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. |
id |
UFV-2_6950c56ac5b51bcb61b247d993417bd1 |
---|---|
oai_identifier_str |
oai:ojs.periodicos.ufv.br:article/632 |
network_acronym_str |
UFV-2 |
network_name_str |
Engenharia na Agricultura |
repository_id_str |
|
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 |
_version_ |
1788355358811488256 |