《Tab.1 Quantitative relationship among andρm》

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《洪水预报实时校正技术研究进展》

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The five representative real-time correction methods have different features.Feedback simulation is a model of manual empirical correction methods，which is convenient and practical.The AR algorithm and the RLS algorithm both belong to regression models，which are mature in techniques and easy to implement.They have a wide range of applications in practice.With the theoretical advantage，the KF technique is flexible and applicable.Therefore，KF has derived many improved algorithms，but this type of filtering methods has high requirements on data.The DSRC method is the representative of the latest research，with stable performance and significant correction effect.Future hydrology will progress rapidly with the computer technology.Especially with the introduction of new generation of science and technology such as optimization algorithms，big data processing and artificial intelligence，it will enrich and promote the development and applications of these real-time correction techniques for flood forecasting.