Estuarine flood modelling using artificial neural networks

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of the International Joint Conference on Neural Networks, 2014, pp. 631 - 637
Issue Date:
2014-09-04
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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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