Abstract
The present study focuses on the modeling of the Lez karstic system (France) using artificial neural networks. Two methods of variable selection were compared: cross-correlation and cross-validation. In both cases, the artificial neural network forecasts closely matched the measured discharge, giving Nash criteria higher than 0.8, which can thus provide satisfactory 2-day forecasts.
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Kong A Siou, L., Johannet, A., Pistre, S., Borrell, V. (2010). Flash Floods Forecasting in a Karstic Basin Using Neural Networks: the Case of the Lez Basin (South of France). In: Andreo, B., Carrasco, F., Durán, J., LaMoreaux, J. (eds) Advances in Research in Karst Media. Environmental Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12486-0_33
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DOI: https://doi.org/10.1007/978-3-642-12486-0_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12485-3
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