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| Elesbon,Abrahão A. A.; Silva,Demetrius D. da; Sediyama,Gilberto C.; Guedes,Hugo A. S; Ribeiro,Carlos A. A. S.; Ribeiro,Celso B. de M.. |
| ABSTRACT This study aimed to develop a methodology based on multivariate statistical analysis of principal components and cluster analysis, in order to identify the most representative variables in studies of minimum streamflow regionalization, and to optimize the identification of the hydrologically homogeneous regions for the Doce river basin. Ten variables were used, referring to the river basin climatic and morphometric characteristics. These variables were individualized for each of the 61 gauging stations. Three dependent variables that are indicative of minimum streamflow (Q7,10, Q90 and Q95). And seven independent variables that concern to climatic and morphometric characteristics of the basin (total annual rainfall – Pa; total semiannual rainfall... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Principal component analysis; Cluster analysis; Homogeneous regions. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000500838 |
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