Flood Simulation of Small and Medium-sized Rivers Based on Deep Learning Model
In order to study the applicability of the LSTM model in many basins,a total of 9 small basins were select-ed as the research area in the Hai River,Yellow River,Huai River,and Yangtze River basins,and the simulation accura-cy of LSTM was trained and verified in these basins.The results indicate that as the forecast periods increase,the simula-tion performance of the LSTM model shows a decreasing trend.Good simulation results can be obtained when the fore-cast periods are 1-6 hours,but the simulation results are poor when the forecast periods are greater than 6 hours;As the number of neurons and iteration steps increase,the simulation effect of the LSTM model improves.However,after ex-ceeding a certain combination,the simulation effect does not change obviously.The research results can provide support for flood forecasting in small and medium-sized basins.
deep learningLSTMsmall and medium-sized riversflood simulation
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