Abstract
Storm flood forecasting can not accurately describe using one or several models. The chaos of the storm runoff systems make the prediction model must face with difficulty which can not be solved now. This paper will provide a new method to solve the problem proposed before. Use the information of the historical storm flood, establish rainstorm forecasting DSS knowledge base, take advantage of correlated identification between real-time storm flood and knowledge base, and offer important information about flood forecasting in order to provide expert consultations decision support of real-time storm flood forecasting.
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© 2011 Springer-Verlag Berlin Heidelberg
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Yan, Y., Cao, Y. (2011). A Mode of Storm Flood Forecasting DSS Establish Ion. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_35
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DOI: https://doi.org/10.1007/978-3-642-24282-3_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24281-6
Online ISBN: 978-3-642-24282-3
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