Estuarine flood modelling using artificial neural networks
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Blumenstein, Michael
Mirfenderesk, Hamid
Tomlinson, Rodger
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H. He, A. Hirose, N. Kasabov & D. Prokhorov
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Beijing, PEOPLES R CHINA
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Abstract
Prediction of water levels at estuaries poses a significant challenge for modelling of floods due to the influence of tidal effects. In this study, a two-stage forecasting system is proposed. In the first stage, the tidal portion of the available records is used to develop a tidal prediction system. The predictions of the first stage are used for flood modelling in the second. Experimental results suggest that the proposed flood modelling approach is advantageous for forecasting flood levels with more than 1 hour lead times.
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PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
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Other environmental sciences not elsewhere classified