Abstract
This study examines the application of the Singular Spectrum Analysis (SSA) method to assess existing trends and oscillations in time series of mean monthly flow in non-parametric fashion. The method was applied to analyze the values of mean monthly flows recorded at the Acorizal and Cuiaba gauges located in the Cuiaba River. The results show that the SSA is able to extract the components of trend, harmonics and noise of the series. The reconstructed time series (with only the trend and harmonic components) satisfactorily reproduced the nonlinear trend of the original time series indicating that the method can be considered as a new tool to water resources management. Key-words: Time series, Mean monthly flow, Singular Spectrum Analysis (SSA), Cuiaba River
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