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Real-time flood forecasting of small-and medium-sized rivers in areas with scarce hydrological data is an urgent problem that needs to be solved. Traditional hydrological model parameters cannot be fully trained owing to a lack of data; thus, results obtained by such models are not satisfactory. We need a new way to solve the forecasting problem for small-and medium-sized rivers. We found that the time series of some feature variables have evident change trajectories in spatial dimension, anddoi:10.1109/access.2020.2971264 fatcat:crmi4vrzszgutdsvi3ap2cnemi