Consulta: subjectFacets:"Rainfall generator"
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Assessing rainfall erosivity indices through synthetic precipitation series and artificial neural networks
Provedor de dados: 42
Autores: CECíLIO,ROBERTO A.; MOREIRA,MICHEL C.; PEZZOPANE,JOSé EDUARDO M.; PRUSKI,FERNANDO F.; FUKUNAGA,DANILO C.
The rainfall parameter that expresses the capacity to promote soil erosion is called rainfall erosivity (R), and is commonly represented by the indexes EI30 and KE&gt;25. The calculations of these indexes requires pluviographical records, that are difficult to obtain in Brazil. This paper describes the use of synthetic rainfall series to compute EI30 and KE&gt;25 in Espírito Santo State (Brazil). Artificial neural networks (ANNs) were also developed to spatially interpolate R values in Espírito Santo. EI30 and KE&gt;25 indexes values were close to those calculated on a homogeneous area according to the similarity of rainfall distribution; indicating the applicability of the use of synthetic rainfall series to estimate the R factor. ANNs had a better...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Interpolation; Rainfall generator; Soil conservation; Universal soil loss equation.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652013000401523