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Water quality modeling is an activity required to improve the representation of the physical, chemical and biological reality of a river system. It requires field data and experienced modelers. This research generalizes the use of a genetic algorithm for BOD and DO calibration for the Palmital river in the metropolitan area of Curitiba, given only one monitoring gauge station. Distinct scenarios were performed to evaluate the GA response for distinct calibration conditions. The results are promising and reproduce field data observations.

Calibração de Modelo Matemático de Qualidade da Água Utilizando Algoritmo Genético: Estudo de Caso do Rio Palmital, PR