Abstract
Tank models have been used in many Asian countries for flood forecasting, reservoir operation, river basin modeling, etc. In this work a tank model is coupled with an ANN (Artificial Neural Network) for modeling a rainfall-runoff process. The ANN controls six of the tank model parameters to adjust them along time in order to improve efficiency. The data used in the simulations were collected from the Brue catchment in the South West of England. It should be pointed out that the raingauge network in this study is extremely dense (for research purposes) and does not represent the usual raingauge density in operational flood forecasting systems.
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Cerda-Villafana, G., Ledesma-Orozco, S.E., Gonzalez-Ramirez, E. (2008). Tank Model Coupled with an Artificial Neural Network. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_33
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DOI: https://doi.org/10.1007/978-3-540-88636-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88635-8
Online ISBN: 978-3-540-88636-5
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