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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Cecílio, Roberto A. | |
dc.contributor.author | Moreira, Michel C. | |
dc.contributor.author | Pezzopane, José Eduardo M. | |
dc.contributor.author | Pruski, Fernando F. | |
dc.contributor.author | Fukunaga, Danilo C. | |
dc.date.accessioned | 2019-05-20T17:06:26Z | |
dc.date.available | 2019-05-20T17:06:26Z | |
dc.date.issued | 2013-01 | |
dc.identifier.citation | v. 85, n. 4, p. 1523-1535, jan. 2013 | pt-BR |
dc.identifier.issn | 1678-2690 | |
dc.identifier.uri | http://dx.doi.org/10.1590/0001-3765201398012 | |
dc.identifier.uri | http://www.locus.ufv.br/handle/123456789/25245 | |
dc.description.abstract | The rainfall parameter that expresses the capacity to promote soil erosion is called rainfall erosivity (R), and is commonly represented by the indexes EI 30 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 EI 30 and KE>25 in Espírito Santo State (Brazil). Artificial neural networks (ANNs) were also developed to spatially interpolate R values in Espírito Santo. EI 30 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 performance than Inverse Distance Weighted and Kriging to spatially interpolate rainfall erosivity values in the State of Espírito Santo. | en |
dc.format | pt-BR | |
dc.language.iso | eng | pt-BR |
dc.publisher | Anais da Academia Brasileira de Ciências | pt-BR |
dc.rights | Open Access | pt-BR |
dc.subject | Interpolation | pt-BR |
dc.subject | Rainfall generator | pt-BR |
dc.subject | Soil conservation | pt-BR |
dc.subject | Universal soil loss equation | pt-BR |
dc.title | Assessing rainfall erosivity indices through synthetic precipitation series and artificial neural networks | en |
dc.type | Artigo | pt-BR |
Aparece nas coleções: | Engenharia Agrícola - Artigos |
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artigo.pdf | artigo | 705,73 kB | Adobe PDF | Visualizar/Abrir |
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