Potencial de técnicas de obtenção de dados para modelagem da identificação de fontes de produção de sedimentos

Abstract

The erosion process is one of the most damaging forms of soil degradation, and occurs due to the combination of several factors, such as vegetation cover, soil type, topography and rainfall intensity. The search for increasingly accurate prediction models is the focus of several studies, seeking to increasingly represent the reality found in situ. This research aims to identify variables that trace erosion processes by obtaining soil and sediment data using different analysis techniques. Methodologies based on geochemical tracers and complementary non-destructive techniques were compared. The techniques used to identify the tracer elements were geochemical analyses with ICP, selective dissolutions (Fe and Mn), and non-destructive techniques were spectroradiometry, magnetic susceptibility and X-ray fluorescence spectroscopy. The modeling was performed by applying the fingerprinting method to identify sediment sources, using the Fingerpro mixture model. The study area is located in the interior of the municipality of Pelotas, which in turn is located in the south of Rio Grande do Sul, Brazil. The rural hydrographic sub-basin is called the Epaminondas stream basin (BHAE) to which the Santa Bárbara stream basin (BASB) belongs. The results obtained in this study show a variation in the contribution of the sources and a difference in the tracer variables throughout the sub-basin.