Spatio-temporal variability of erosivity in Mato Grosso, Brazil

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 th...

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Published inRevista ambiente & água Vol. 13; no. 6; pp. 1 - 14
Main Authors Di Raimo, Luis Augusto Di Loreto, Amorim, Ricardo Santos Silva, Couto, Eduardo Guimarães, Nóbrega, Rodolfo Luiz Bezerra, Torres, Gilmar Nunes, Bocuti, Edwaldo Dias, Almeida, Cristiana Oliveira Silva, Rodrigues, Rafael Vinicius
Format Journal Article
LanguageEnglish
Portuguese
Published Taubaté Instituto de Pesquisas Ambientais em Bacias Hidrográficas 2018
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
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Summary: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 (EI30) and annual (R) erosivity for 158 rain gauge stations and spatialized the values of EI30 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.
ISSN:1980-993X
1980-993X
DOI:10.4136/ambi-agua.2276