ContribuiÃÃo ao processo de regionalizaÃÃo de vazÃes : AnÃlise de mÃtodos e variÃveis explicativas

AUTOR(ES)

Vaneza Andrea Lima de Freitas

DATA DE PUBLICAÇÃO

2003

RESUMO

The objectives of this work were contribute to the process of hydrologic regionalization in areas with scarce data by means of new explanatory variables, as well as to analyze different methods of regionalization. Initially, an analysis of the influence of the vegetable covering was accomplished in the process of regionalization in the study area. In the case, the percentage of area covered by caatinga, cerrado and forest were used as explanatory variables. The second objective of this dissertation was the regionalization of rainfall-runoff model parameters using for several watersheds within a physically homogeneous region. Finally, the last objective sought in this dissertation was the performance application of Artificial Neural Network as a regionalization tool. As conclusion, it was observed that the new explanatory variables an the process of neural network improved in a significant way the regionalization flow in the study area, the sub-basins 46, 47, 48 e 49 of the hydrographic basin of SÃo Francisco River

ASSUNTO(S)

regionalizaÃÃo hidrogrÃfica redes neurais artificiais (rna)-aplicaÃÃo engenharia civil metÃdos de regionalizaÃÃo bacia hidrogrÃfica do sÃo francisco

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