SEDIMENT TRANSPORT ESTIMATION FROM HYDROLOGICAL AND AUTOREGRESSIVE MODELS

Hydrologic modeling allows the simulation of runoff and sediment processes, which are applied in integrated watershed management, soil water nutrients, among others. However, these models require considerable amounts input data. Sediment data is often lacking quantity quality, leads to uncertainty hydrological models. The objective present study was propose a methodological alternative based on time series Santa Cruz de Aquismón sub-basin, San Luis Potosí, Mexico, by means autoregressive moving average (ARIMA) Soil Water Assessment Tool (SWAT) model. SWAT model calibrated validated with measured flows from National Surface Data Bank (BANDAS) station 26 241 (Ballesmi). Model calibration validation performance assessed Nash-Sutcliffe Coefficient (NSE), percent bias (PBIAS), root mean squared error (RMSE). fit rated as very good. hydrologic results were compared daily estimates three months 1985 (June, September, November) obtained ARIMA absolute (MAPE) 0.571, 0.168, 0.029, respectively. indicated that use for estimation useful when there short limited information, since it completion missing or short-term estimates.