Visual Data Analysis for Hydrological Cycle Classification Based on Physico-Chemical Parameters

Water is one of the main resources of nature, being the element directly related with maintenance of life in any ecosystem. For mankind, beside the biologic needs, water is used in many sectors of society, and one of them is electricity generation. For the full operation of hydroelectric power plants there is a need to create a huge water reservoir, which transforms the ecosystem and local economy, serving multiple uses, such as tourism, fishing, recreation, sailing, among others. The maintenance in this context is dependent of the quality of water in reservoir, which justifies its continuous monitoring. From the monitored data, it is possible to predict or classify the hydrologic cycle for the reservoir, aiming to support the process of decision about the hydric resources and environmental impact. Thus, this paper presents a practical approach to use visualization techniques based on the PRISMA software, which is a visualization tool with features of multiples views and coordinated databases to identify patterns in hydrologic cycles, considering the psycho-chemical elements existent in the dam water of the hydroelectric power plant from Tucuruí - Pará - Brazil.