Regionalização das vazões mínimas de referência a partir da distribuição log-normal a 3 parâmetros para a gestão dos recursos hídricos superficiais

Abstract

Surface water availability exhibits spatial and temporal variability, making probabilistic studies involving these variables extremely important for water planning and management, agricultural activities, urban planning, and other activities. This study applied the three-parameter Log-Normal model (LN- 3P) to estimate minimum flows Q7,10, and Q90 at four fluviometric stations in the Upper Paraopeba River basin (MG). The goodness-of-fit of the distribution was validated by the Kolmogorov-Smirnov (KS) and Chi-Square (λ2) tests at the 5% significance level, and no significant trends in rainfall were detected. The results reinforce the effectiveness of the LN-3P for water management in basins with limited data and indicate the need to revise the granting criteria in light of hydrological variability and climate change.