Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados Anais da ABC (AABC) (1) Rev. Bras. Ciênc. Solo (1) Autor CECíLIO,ROBERTO A. (1) Cecílio,Roberto Avelino (1) FUKUNAGA,DANILO C. (1) MOREIRA,MICHEL C. (1) Moreira,Michel Castro (1) Oliveira,Thiago Emanuel Cunha de (1) PEZZOPANE,JOSé EDUARDO M. (1) PRUSKI,FERNANDO F. (1) Pinto,Francisco de Assis de Carvalho (1) Pruski,Fernando Falco (1) Mais... Palavra-chave Soil conservation (2) Universal soil loss equation (2) Erosive potential of rainfall (1) Interpolation (1) Rainfall generator (1) Tipo do documento Info:eu-repo/semantics/article (2) Ano 2016 (1) 2013 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Assessing rainfall erosivity indices through synthetic precipitation series and artificial neural networks Anais da ABC (AABC) 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>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>25 in Espírito Santo State (Brazil). Artificial neural networks (ANNs) were also developed to spatially interpolate R values in Espírito Santo. EI30 and KE>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 Spatial Interpolation of Rainfall Erosivity Using Artificial Neural Networks for Southern Brazil Conditions Rev. Bras. Ciênc. Solo 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 Registros recuperados: 2 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco