Spatio-temporal variability of erosivity in Mato Grosso, Brazil

Detalhes bibliográficos
Autor(a) principal: Raimo,Luis Augusto Di Loreto Di
Data de Publicação: 2018
Outros Autores: Amorim,Ricardo Santos Silva, Couto,Eduardo Guimarães, Nóbrega,Rodolfo Luiz Bezerra, Torres,Gilmar Nunes, Bocuti,Edwaldo Dias, Almeida,Cristiana Oliveira Silva, Rodrigues,Rafael Vinicius
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2018000600308
Resumo: Abstract The impact of rainfall on surfaces lacking vegetal cover can dissociate soil particles, thereby initiating the erosion process. This is known as rainfall erosivity and is expressed by the R factor in the Universal Soil Loss Equation. Agricultural areas often show seasonally erosion susceptibility throughout the year due to oscillations of the soil exposure rate and the vegetation change. Considering that approximately 30 million ha of the Mato Grosso State in Brazil is used for agriculture, this study aimed to predict and map the spatial and temporal variability of its territory. We evaluated the monthly (EI 30) and annual (R) erosivity for 158 rain gauge stations and spatialized the values of EI 30 and R by the Kriging method. It was observed that R values ranked as very high in the north, and high and medium-high in the south of Mato Grosso state. The mean value is 8835 MJ mm ha-1 h-1 year-1, considered high. Ninety-one percent of the annual erosivity was concentrated in the period between October and April, corresponding to the rainy season. The highest R factor values were found in the macro-regions of the northwest, north, west and medium-north of Mato Grosso State.
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spelling Spatio-temporal variability of erosivity in Mato Grosso, BrazilerosiongeostatisticsGISsoil conservationUSLE.Abstract The impact of rainfall on surfaces lacking vegetal cover can dissociate soil particles, thereby initiating the erosion process. This is known as rainfall erosivity and is expressed by the R factor in the Universal Soil Loss Equation. Agricultural areas often show seasonally erosion susceptibility throughout the year due to oscillations of the soil exposure rate and the vegetation change. Considering that approximately 30 million ha of the Mato Grosso State in Brazil is used for agriculture, this study aimed to predict and map the spatial and temporal variability of its territory. We evaluated the monthly (EI 30) and annual (R) erosivity for 158 rain gauge stations and spatialized the values of EI 30 and R by the Kriging method. It was observed that R values ranked as very high in the north, and high and medium-high in the south of Mato Grosso state. The mean value is 8835 MJ mm ha-1 h-1 year-1, considered high. Ninety-one percent of the annual erosivity was concentrated in the period between October and April, corresponding to the rainy season. The highest R factor values were found in the macro-regions of the northwest, north, west and medium-north of Mato Grosso State.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2018000600308Revista Ambiente & Água v.13 n.6 2018reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2276info:eu-repo/semantics/openAccessRaimo,Luis Augusto Di Loreto DiAmorim,Ricardo Santos SilvaCouto,Eduardo GuimarãesNóbrega,Rodolfo Luiz BezerraTorres,Gilmar NunesBocuti,Edwaldo DiasAlmeida,Cristiana Oliveira SilvaRodrigues,Rafael Viniciuseng2018-11-12T00:00:00Zoai:scielo:S1980-993X2018000600308Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2018-11-12T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Spatio-temporal variability of erosivity in Mato Grosso, Brazil
title Spatio-temporal variability of erosivity in Mato Grosso, Brazil
spellingShingle Spatio-temporal variability of erosivity in Mato Grosso, Brazil
Raimo,Luis Augusto Di Loreto Di
erosion
geostatistics
GIS
soil conservation
USLE.
title_short Spatio-temporal variability of erosivity in Mato Grosso, Brazil
title_full Spatio-temporal variability of erosivity in Mato Grosso, Brazil
title_fullStr Spatio-temporal variability of erosivity in Mato Grosso, Brazil
title_full_unstemmed Spatio-temporal variability of erosivity in Mato Grosso, Brazil
title_sort Spatio-temporal variability of erosivity in Mato Grosso, Brazil
author Raimo,Luis Augusto Di Loreto Di
author_facet Raimo,Luis Augusto Di Loreto Di
Amorim,Ricardo Santos Silva
Couto,Eduardo Guimarães
Nóbrega,Rodolfo Luiz Bezerra
Torres,Gilmar Nunes
Bocuti,Edwaldo Dias
Almeida,Cristiana Oliveira Silva
Rodrigues,Rafael Vinicius
author_role author
author2 Amorim,Ricardo Santos Silva
Couto,Eduardo Guimarães
Nóbrega,Rodolfo Luiz Bezerra
Torres,Gilmar Nunes
Bocuti,Edwaldo Dias
Almeida,Cristiana Oliveira Silva
Rodrigues,Rafael Vinicius
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Raimo,Luis Augusto Di Loreto Di
Amorim,Ricardo Santos Silva
Couto,Eduardo Guimarães
Nóbrega,Rodolfo Luiz Bezerra
Torres,Gilmar Nunes
Bocuti,Edwaldo Dias
Almeida,Cristiana Oliveira Silva
Rodrigues,Rafael Vinicius
dc.subject.por.fl_str_mv erosion
geostatistics
GIS
soil conservation
USLE.
topic erosion
geostatistics
GIS
soil conservation
USLE.
description Abstract The impact of rainfall on surfaces lacking vegetal cover can dissociate soil particles, thereby initiating the erosion process. This is known as rainfall erosivity and is expressed by the R factor in the Universal Soil Loss Equation. Agricultural areas often show seasonally erosion susceptibility throughout the year due to oscillations of the soil exposure rate and the vegetation change. Considering that approximately 30 million ha of the Mato Grosso State in Brazil is used for agriculture, this study aimed to predict and map the spatial and temporal variability of its territory. We evaluated the monthly (EI 30) and annual (R) erosivity for 158 rain gauge stations and spatialized the values of EI 30 and R by the Kriging method. It was observed that R values ranked as very high in the north, and high and medium-high in the south of Mato Grosso state. The mean value is 8835 MJ mm ha-1 h-1 year-1, considered high. Ninety-one percent of the annual erosivity was concentrated in the period between October and April, corresponding to the rainy season. The highest R factor values were found in the macro-regions of the northwest, north, west and medium-north of Mato Grosso State.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2018000600308
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2276
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.13 n.6 2018
reponame:Revista Ambiente & Água
instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron:IPABHI
instname_str Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron_str IPABHI
institution IPABHI
reponame_str Revista Ambiente & Água
collection Revista Ambiente & Água
repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
repository.mail.fl_str_mv ||ambi.agua@gmail.com
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