TY - JOUR
T1 - Variabilidade espacial e temporal da erosividade em Mato Grosso, Brasil
AU - Di Raimo, Luis Augusto Di Loreto
AU - Amorim, Ricardo Santos Silva
AU - Couto, Eduardo Guimarães
AU - Nóbrega, Rodolfo Luiz Bezerra
AU - Torres, Gilmar Nunes
AU - Bocuti, Edwaldo Dias
AU - Almeida, Cristiana Oliveira Silva
AU - Rodrigues, Rafael Vinicius
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Erosion
KW - Geostatistics
KW - GIS
KW - Soil conservation
KW - USLE
UR - http://www.scopus.com/inward/record.url?scp=85063522103&partnerID=8YFLogxK
U2 - 10.4136/ambi-agua.2276
DO - 10.4136/ambi-agua.2276
M3 - Article (Academic Journal)
AN - SCOPUS:85063522103
SN - 1980-993X
VL - 13
JO - Revista Ambiente e Agua
JF - Revista Ambiente e Agua
IS - 6
M1 - e2276
ER -