Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sociedade & natureza (Online) |
Texto Completo: | https://seer.ufu.br/index.php/sociedadenatureza/article/view/52769 |
Resumo: | Rainfall is one of the most important variables for studies of biological processes. In the Amazon, studies on the spatial and temporal distribution of rainfall have been used as an analysis tool in regional planning aimed at the conservation of different ecosystems. This can be exemplified by the construction of agricultural calendars and controlled fires with the objective of preventing the fires that are used to clear fields and pastures from getting out of control and turning into large forest fires in years of severe drought. Our study aimed to model the rainfall spatial distribution in the State of Roraima (1998-2018) at monthly and annual scales based on orbital data from two products available on the world-wide web (TRMM / WORLDCLIM). Ordinary kriging was adopted as a method for modeling precipitation. Roraima has two well-defined climatic seasons throughout the year, but contrasting due to the state’s geographical limit being distributed between two hemispheres. On average, the rainfall of the Af climate is concentrated in the interval between March and August (63.5%), with a peak in May, while Am and Aw from April to September (peak in June), concentrating 73.3% and 82.3% of the rainfall, respectively. Between 1998 and 2018 the average annual precipitation was 1925 ± 339.7 mm, considering the 59 meteorological stations located in the study area, regardless of the hemispheric location. Extreme climatic events have a dramatic effect on regional rainfall, where El Niño years (long droughts) are characterized as drier periods with higher risks of forest fires, while in La Niña years (wetter periods) there are higher probabilities of heavy rains associated with long periods of flooding. |
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Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of RoraimaPrecipitação no extremo norte da Amazônia: distribuição espacial no estado de Roraima, Brasil Precipitação. Pluviosidade. Krigagem ordinária. Amazônia.Precipitation. Rainfall. Ordinary Kriging. Amazon.Rainfall is one of the most important variables for studies of biological processes. In the Amazon, studies on the spatial and temporal distribution of rainfall have been used as an analysis tool in regional planning aimed at the conservation of different ecosystems. This can be exemplified by the construction of agricultural calendars and controlled fires with the objective of preventing the fires that are used to clear fields and pastures from getting out of control and turning into large forest fires in years of severe drought. Our study aimed to model the rainfall spatial distribution in the State of Roraima (1998-2018) at monthly and annual scales based on orbital data from two products available on the world-wide web (TRMM / WORLDCLIM). Ordinary kriging was adopted as a method for modeling precipitation. Roraima has two well-defined climatic seasons throughout the year, but contrasting due to the state’s geographical limit being distributed between two hemispheres. On average, the rainfall of the Af climate is concentrated in the interval between March and August (63.5%), with a peak in May, while Am and Aw from April to September (peak in June), concentrating 73.3% and 82.3% of the rainfall, respectively. Between 1998 and 2018 the average annual precipitation was 1925 ± 339.7 mm, considering the 59 meteorological stations located in the study area, regardless of the hemispheric location. Extreme climatic events have a dramatic effect on regional rainfall, where El Niño years (long droughts) are characterized as drier periods with higher risks of forest fires, while in La Niña years (wetter periods) there are higher probabilities of heavy rains associated with long periods of flooding.A precipitação pluviométrica é uma das variáveis mais importantes para investigações associadas a processos biológicos. Na Amazônia, estudos sobre sua distribuição espacial e temporal vêm sendo utilizados como uma ferramenta de análise no planejamento regional visando a conservação de diferentes ecossistemas. Isto pode ser exemplificado pela construção de calendários agrícolas e de queimas controladas com o objetivo de prevenir que fogos derivados de queimadas para limpeza de roças e pastagens escapem do controle e se transformem em incêndios florestais de grandes proporções em anos de seca severa na Amazônia. Nosso estudo teve como objetivo modelar a distribuição espacial da precipitação no Estado de Roraima (1998-2018) utilizando as escalas mensal e anual a partir de dados orbitais de dois produtos disponíveis na rede mundial de computadores (TRMM/WORLDCLIM). Foi adotada a krigagem ordinária como método para a modelagem da precipitação. Roraima apresenta duas estações climáticas bem definidas ao longo do ano, mas contrastantes em função dos seus três tipos climáticos existentes e o limite físico estar distribuído entre dois hemisférios. Em média a precipitação do clima Af se concentra no intervalo entre março e agosto (63,5%), com pico em maio, enquanto Am e Aw de abril a setembro (pico em junho), concentrando 73,3% e 82,3% das chuvas, respectivamente. Entre 1998 e 2018 a média de precipitação anual foi de 1925 ± 339,7 mm, considerando as 59 estações pluviométricas localizadas na área de estudo, independentemente da localização hemisférica. Eventos climáticos extremos possuem um efeito dramático nos índices pluviométricos regionais, fazendo com que em anos El Nino (longas secas) os riscos de incêndios florestais sejam maiores e, em anos de La Niña (períodos de chuva intensa), os riscos de enchentes sejam mais frequentes.Universidade Federal de Uberlândia2020-07-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/5276910.14393/SN-v32-2020-52769Sociedade & Natureza; Vol. 32 (2020); 439-456Sociedade & Natureza; v. 32 (2020); 439-4561982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/52769/29444https://seer.ufu.br/index.php/sociedadenatureza/article/view/52769/29445https://seer.ufu.br/index.php/sociedadenatureza/article/view/52769/29452Copyright (c) 2020 Paulo Eduardo Barni, Reinaldo Imbrozio Barbosa, Haron Abrahim Magalhães Xaud, Maristela Ramalho Xaud, Philip Martin Fearnsideinfo:eu-repo/semantics/openAccessBarni, Paulo EduardoBarbosa, Reinaldo ImbrozioXaud, Haron Abrahim MagalhãesXaud, Maristela RamalhoFearnside, Philip Martin2021-07-01T16:18:20Zoai:ojs.www.seer.ufu.br:article/52769Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2021-07-01T16:18:20Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima Precipitação no extremo norte da Amazônia: distribuição espacial no estado de Roraima, Brasil |
title |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima |
spellingShingle |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima Barni, Paulo Eduardo Precipitação. Pluviosidade. Krigagem ordinária. Amazônia. Precipitation. Rainfall. Ordinary Kriging. Amazon. |
title_short |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima |
title_full |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima |
title_fullStr |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima |
title_full_unstemmed |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima |
title_sort |
Precipitation in northern Amazonia: Spatial distribution in Brazil’s state of Roraima |
author |
Barni, Paulo Eduardo |
author_facet |
Barni, Paulo Eduardo Barbosa, Reinaldo Imbrozio Xaud, Haron Abrahim Magalhães Xaud, Maristela Ramalho Fearnside, Philip Martin |
author_role |
author |
author2 |
Barbosa, Reinaldo Imbrozio Xaud, Haron Abrahim Magalhães Xaud, Maristela Ramalho Fearnside, Philip Martin |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Barni, Paulo Eduardo Barbosa, Reinaldo Imbrozio Xaud, Haron Abrahim Magalhães Xaud, Maristela Ramalho Fearnside, Philip Martin |
dc.subject.por.fl_str_mv |
Precipitação. Pluviosidade. Krigagem ordinária. Amazônia. Precipitation. Rainfall. Ordinary Kriging. Amazon. |
topic |
Precipitação. Pluviosidade. Krigagem ordinária. Amazônia. Precipitation. Rainfall. Ordinary Kriging. Amazon. |
description |
Rainfall is one of the most important variables for studies of biological processes. In the Amazon, studies on the spatial and temporal distribution of rainfall have been used as an analysis tool in regional planning aimed at the conservation of different ecosystems. This can be exemplified by the construction of agricultural calendars and controlled fires with the objective of preventing the fires that are used to clear fields and pastures from getting out of control and turning into large forest fires in years of severe drought. Our study aimed to model the rainfall spatial distribution in the State of Roraima (1998-2018) at monthly and annual scales based on orbital data from two products available on the world-wide web (TRMM / WORLDCLIM). Ordinary kriging was adopted as a method for modeling precipitation. Roraima has two well-defined climatic seasons throughout the year, but contrasting due to the state’s geographical limit being distributed between two hemispheres. On average, the rainfall of the Af climate is concentrated in the interval between March and August (63.5%), with a peak in May, while Am and Aw from April to September (peak in June), concentrating 73.3% and 82.3% of the rainfall, respectively. Between 1998 and 2018 the average annual precipitation was 1925 ± 339.7 mm, considering the 59 meteorological stations located in the study area, regardless of the hemispheric location. Extreme climatic events have a dramatic effect on regional rainfall, where El Niño years (long droughts) are characterized as drier periods with higher risks of forest fires, while in La Niña years (wetter periods) there are higher probabilities of heavy rains associated with long periods of flooding. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-15 |
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://seer.ufu.br/index.php/sociedadenatureza/article/view/52769 10.14393/SN-v32-2020-52769 |
url |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/52769 |
identifier_str_mv |
10.14393/SN-v32-2020-52769 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/52769/29444 https://seer.ufu.br/index.php/sociedadenatureza/article/view/52769/29445 https://seer.ufu.br/index.php/sociedadenatureza/article/view/52769/29452 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Sociedade & Natureza; Vol. 32 (2020); 439-456 Sociedade & Natureza; v. 32 (2020); 439-456 1982-4513 0103-1570 reponame:Sociedade & natureza (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Sociedade & natureza (Online) |
collection |
Sociedade & natureza (Online) |
repository.name.fl_str_mv |
Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br |
_version_ |
1799943981250904064 |