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	Provedor de dados Anais da ABC (AABC) (2) Autor MOREIRA,MICHEL C. (2) CECíLIO,ROBERTO A. (1) COELHO,CLÍVIA D. (1) ELESBON,ABRAHÃO A.A. (1) FUKUNAGA,DANILO C. (1) LIMA,RAFAEL P.C. (1) PASSOS,JÉSSICA B.M.C. (1) PEZZOPANE,JOSé EDUARDO M. (1) PRUSKI,FERNANDO F. (1) SILVA,DEMETRIUS D. DA (1) Mais... Palavra-chave Climatic condition (1) Doce river (1) Interpolation (1) Precipitation (1) Rainfall generator (1) Rainfall season (1) River basin (1) Soil conservation (1) Universal soil loss equation (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (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 Development of an annual drought classification system based on drought severity indexes Anais da ABC (AABC) LIMA,RAFAEL P.C.; SILVA,DEMETRIUS D. DA; MOREIRA,MICHEL C.; PASSOS,JÉSSICA B.M.C.; COELHO,CLÍVIA D.; ELESBON,ABRAHÃO A.A.. Abstract: In order to characterize the occurrence and intensity of droughts in the Doce River Basin, as well as to develop a system for its classification, four different drought indexes were evaluated: Percent of Normal Precipitation (PNP), Deciles Method (DM), Rainfall Anomaly Index (RAI) and Standardized Precipitation Index (SPI). The indices were calculated annually, based on precipitation data from 89 rainfall stations of the Brazilian National Water Agency (ANA). Nine analysis units (AUs) were determined in the basin and the Thiessen Polygons method was used to obtain the average precipitation in the respective drainage areas. The indices were calculated for each AU and then related to the drought intensity classes. An overall classification of the... Tipo: Info:eu-repo/semantics/article Palavras-chave: Climatic condition; Doce river; Precipitation; Rainfall season; River basin. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100852 Registros recuperados: 2 Primeira ... 1 ... Última

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