Dissertação
Análise da dinâmica energética de bacias de drenagem em área de rochas siliciclásticas, na Serra do Espinhaço Meridional, com a utilização do índice de Hack
Fecha
2016-05-20Autor
Alcione Rodrigues Milagres
Institución
Resumen
The Pardo and High Jequitinhonha drainage basin are two of the most important
basins of the Meridional Espinhaço Mountain Range. They are responsible for
water supply and the landforms evolution, creating different environments, even
those situated on siliciclastic rocks. Aiming to understand the environment
dynamics, the main objective of this work is to compare the energetic dynamics
of both drainage basin exclusively located on siliciclastic rocks from Espinhaço
Supergroup, Minas Gerais. For this, the Stream-Gradient Index and other
parameters were used, assisted by field work. This dissertation was organized in
two chapters, preceded by one introductory chapter and at the end being
presented the final remarks. In the second chapter (paper 1) the objective was to
analyze the consistency of the methodological procedures and results using the
full segment of a river and comparing them with the results obtained by the use
of methodological procedures to the size of the segments of hierarchical
drainage, seeking to obtain a better understanding of the specificities of this
index, as well as determining which method provides better results about the
energy dynamics of the basins. The third chapter (paper 2) provides an analyses
about the relation between energy and competence in both drainage basin,
besides presenting results on the efficiency of using the Stream-Gradient index
in humid tropical environments. Results indicate different evolution patterns
between the two basin, within the same lithological domain. They also validate
the index calculation through segments of hierarchical drainage, which allows
realizing the energy variations in more detail scales. Further, legitimizes the value
of the measurements obtained by the index, and then validated in field. The field
work was important for the understanding of the data, mainly due to local
peculiarities of each river, form, litoestructure and process involved in their energy
dynamics.