Resumo

GONZALEZ-LEIVA, Fernando et al. Streamflow Forecasting for the Turbio River using the Discrete Kalman Filter. Tecnol. cienc. agua [online]. 2015, vol.6, n.4, pp.05-24. ISSN 2007-2422.

This paper proposes the use of the discreet Kalman filter (DKF) along with an autoregressive model with exogenous inputs (ARX) for short-term streamflow forecasting with lead times of 24, 48, 72 and 96 hours. This model was applied to the Turbio River basin, located in the state of Guanajuato and a portion of the state of Jalisco, Mexico. This area is vulnerable to flooding during rainy periods which normally occur in the region. The forecasting was based on available precipitation and streamflow data from the years 2003 and 2004. The results indicate that the forecasts performed with one-step ahead, that is with a 24-hour lead time, present better fits than 48, 72 and 96-hour lead times in terms of Nash-Sutcliffe, MSE and RMSE.

Palavras-chave : Kalman filter; autoregressive models; short-term streamflow forecasting.

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