Articles | Volume 13, issue 9
https://doi.org/10.5194/hess-13-1607-2009
https://doi.org/10.5194/hess-13-1607-2009
10 Sep 2009
 | 10 Sep 2009

River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin

M. K. Akhtar, G. A. Corzo, S. J. van Andel, and A. Jonoski

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Cited articles

Abrahart, R. J. and See, L.: Comparing neural network and autoregressive moving average techniques for the provision of continous river flow forecasts in two contrasting catchments, Hydrol. Process., 14, 2157–2172, 2000.
Abrahart, R. J., Heppenstall, A. J., and See, L. M.: Timing error correction procedure applied to neural network rainfall-runoff modelling, Hydrolog. Sci. J., 52, 414–431, 2007.
Akhtar, M. K.: Flood Forecasting for Bangladesh with satellite Data, Msc Thesis, UNESCO-IHE, Delft, the Netherlands, 134 pp, 2006{}.
ASCE: Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial Neural Networks in Hydrology, II:Hydrologic Application, J. Hydrol. Eng., 5, 124–136, 2000{a}.
ASCE: Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial Neural Networks in Hydrology. I: Preliminary Concepts, J. Hydrol. Eng., 5, 115–123, 2000{b}.
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