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Rainfall erosivity and rainfall return period in the experimental watershed of Aracruz, in the coastal plain of Espirito Santo, Brazil Rev. Bras. Ciênc. Solo
Martins,Sérgio Gualberto; Avanzi,Junior Cesar; Silva,Marx Leandro Naves; Curi,Nilton; Norton,Lloyd Darrell; Fonseca,Sebastião.
Knowledge on the factors influencing water erosion is fundamental for the choice of the best land use practices. Rainfall, expressed by rainfall erosivity, is one of the most important factors of water erosion. The objective of this study was to determine rainfall erosivity and the return period of rainfall in the Coastal Plains region, near Aracruz, a town in the state of Espírito Santo, Brazil, based on available data. Rainfall erosivity was calculated based on historic rainfall data, collected from January 1998 to July 2004 at 5 min intervals, by automatic weather stations of the Aracruz Cellulose S.A company. A linear regression with individual rainfall and erosivity data was fit to obtain an equation that allowed data extrapolation to calculate...
Tipo: Info:eu-repo/semantics/other Palavras-chave: Kinetic energy; R-factor; USLE; Recurrence interval; Probability of occurrence.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832010000300042
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Spatial distribution of water erosion risk in a watershed with eucalyptus and Atlantic Forest Ciência e Agrotecnologia
Avanzi,Junior Cesar; Silva,Marx Leandro Naves; Curi,Nilton; Norton,Lloyd Darrell; Beskow,Samuel; Martins,Sérgio Gualberto.
The process of water erosion occurs in watersheds throughout the world and it is strongly affected by anthropogenic influences. Thus, the knowledge of these processes is extremely necessary for planning of conservation efforts. This study was performed in an experimental forested watershed in order to predict the average potential annual soil loss by water erosion using the Universal Soil Loss Equation (USLE) and a Geographic Information System (GIS), and then compared with soil loss tolerance. All the USLE factors were generated in a distributed approach employing a GIS tool. The layers were multiplied in the GIS framework in order to predict soil erosion rates. Results showed that the average soil loss was 6.2 Mg ha-1 yr-1. Relative to soil loss...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Forest systems; Soil losses; USLE; GIS; Coastal plain.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000500006
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