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In this study, univariate ARIMA and multivariate TFN time series models are applied to analysis and forecast the catchment flood discharge on the Wu - Shi basin. And combined Time Series analysis and Fuzzy control analysis, try to simplify the work of real - time analysis by Fuzzy Time Series Analysis. The gauging stations which were discussed in this artecle, included the downstream gauging station, Da - Du bridge and the upstream gauging stations, His - Nan bridge, Nan - Gan bridge and Gan - Feng bridge. The Time Series Analysis forecasting result of Da - Feng bridge. The Time series Analysis forecasting result of Da - Du bridge was shown that TFN model is much precise than ARIMA model, especially on multi - steps ahead forecasting. And Fuzzy Time Series indeed improve complex steps of real - time analysis, and increase the accuracy of real - time forecasting result.
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