Chrystiann Lavarini,Henrique Pesciotti,Lilian Coeli,Antônio Pereira Magalhães Junior, Universidade Federal de Minas Gerais, Instituto de Geociências, chrystiann1@hotmail.com
ABSTRACT
The current growth of investments in works that deal directly with extreme weather events cannot be considered on a purely deterministic approaches. In this perspective, there is the Adaptive Water Management, which comes from the theory of adaptive control process, developed to deal with systems characterized by uncertainty. With this purpose, this research aims to give a information feedback proposed by the Adaptive Water Management: (i) understand the hydraulic and sedimentologic differentiation of the longitudinal profile of the river, (ii) identify and classify different geomorphological patterns of river channel, (iii ) analyze and compare the variables of the natural river system artificialized and (iv) prepare a synthesis of certainties and uncertainties about the design of river modification, and finally, (v) predict possible future short term scenarios. In order to achieve these goals, morphometric parameters were performed at 25 hydrometric cross sections, also were performed the pebble count method and sedimentological analysis in the laboratory. As a result, it was found that the stream channel exhibited significant morphological and hydrological changes in relatively short reaches typical of mountain environments near the headwaters. It is also important to mention that bed clasts control the contemporary fluvial dynamics establishing that bedload grain size variations are not always a dependent variable in the river flow as traditionally reported in fluvial geomorphology and hydrology literature. It was also notice that hydrosedimentological and morphological variations combined with the riverbed artificialization could have increased the depositional rates. If it is kept the current standards in conjunction with the anthropogenic and quaternary climate changes, this deposition will be accentuated, jeopardizing the future fluvial dynamics and functionality of the performed work. Finally, this paper aims to contribute not only in the current dynamics understanding, but also, in a synthetic way, to predict future hydrosedimentological scenarios and their responses. In addition, due to the applicability of these methods, it is expected that it could be applied to other research allowing the understanding of the dynamics anthropogenic variables in fluvial works.
Key-words: Hydro-sedimentology; Geomorphological Classification; Stream Channel Artificialization.
Palavras-chave: Hidrossedimentologia; Classificação Geomorfológica; Artificialização de Canais Fluviais.