The Lower Solimões River from the Chaos Theory Perspective (Deterministic Chaos)

• Autor(a) principal: Queiroz, Matheus Silveira de
• Data de Publicação: 2021
• Outros Autores: Carvalho , José Alberto Lima de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Geotemas
• Texto Completo: http://periodicos.apps.uern.br/index.php/GEOTemas/article/view/3193
• topic: Análise Não-Linear; Grandes Rios; Bacia Amazônica; Complexidade; Non-Linear Analysis; Megarivers; Amazon Basin; Complexity; Análisis no lineal; Grandes Rí­os; Cuenca del Amazonas; Complejidad

The study of nonlinear dynamical systems has been receiving increasing attention from the scientific community. Chaos theory, developed in the early 1960s, seeks solutions for systems that were neither close to equilibrium nor to a periodic solution, thus discovering chaotic motion (irregular and aperiodic oscillations) on a strange attractor. This discovery was an advance for the analysis of hydrological dynamics, now considered a nonlinear system. Therefore, this article seeks to present, from the perspective of Chaos theory, potentialities for the hydrological analysis of a river system. For this, the fluvial dynamics and erosion and sedimentation processes were analyzed, in addition to understanding data of quota, water discharge and suspended sediments, seeking to understand the monthly means to predict the data from the perspective of Chaos theory. For this, the river dynamics and erosion and sedimentation processes were analyzed, in addition to understanding data of quotas, water discharge and suspended sediments, seeking to understand the monthly means to predict the data from the perspective of Chaos Theory. The results show that analysis of turbulent flows, in particular helical flows, and sediment transport and deposition processes is interesting from the perspective of Chaos for a short time scale, making it difficult to predict the results on a larger time scale. The use of monthly means to predict data phenomena of quotas, liquid discharge and suspended sediments is not indicated by the nonlinear dynamics of the data, however it is possible to predict the data on a short time scale. It was also observed that the larger the predicted time scale, the greater the chance of inconsistencies in the data, and the use for predictions, using the Chaos theory, greater than one year is not indicated.