Consulta: subjectFacets:"Erosive potential of rainfall"
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Data/hora: 11/06/2024 10:52:56

Spatial Interpolation of Rainfall Erosivity Using Artificial Neural Networks for Southern Brazil Conditions
Provedor de dados: 90
Autores: Moreira,Michel Castro; Oliveira,Thiago Emanuel Cunha de; Cecílio,Roberto Avelino; Pinto,Francisco de Assis de Carvalho; Pruski,Fernando Falco.
ABSTRACT Water erosion is the process of disaggregation and transport of sediments, and rainfall erosivity is a numerical value that expresses the erosive capacity of rain. The scarcity of information on rainfall erosivity makes it difficult or impossible to use to estimate losses occasioned by the erosive process. The objective of this study was to develop Artificial Neural Networks (ANNs) for spatial interpolation of the monthly and annual values of rainfall erosivity at any location in the state of Rio Grande do Sul, and a software that enables the use of these networks in a simple and fast manner. This experiment used 103 rainfall stations in Rio Grande do Sul and their surrounding area to generate synthetic rainfall series on the software ClimaBR 2.0....
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Erosive potential of rainfall; Soil conservation; Universal soil loss equation.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100537