Spatio-temporal variability of erosivity in Mato Grosso, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , |
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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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 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2018000600308 |
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 |
_version_ |
1752129750723198976 |