Discussion of “One-Day-Ahead Streamflow Forecasting Using Artificial Neural Networks and a Meteorological Mesoscale Model” by Alvaro Linares-Rodriguez, Vicente Lara-Fanego, David Pozo-Vazquez, and Joaquin Tovar-Pescador
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VIEW THE ORIGINAL ARTICLEAuthors: Omid Bozorg-Haddad [email protected], Seyed-Mohammad Hosseini-Moghari [email protected], and Ali Azarnivand [email protected]Author Affiliations
Publication: Journal of Hydrologic Engineering
Volume 21, Issue 1
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References
Choudhury, P., and Roy, P. (2015). “Forecasting concurrent flows in a river system using ANNs.” J. Hydrol. Eng., 060140121.
De Vos, N. J., and Rientjes, T. H. M. (2005). “Constraints of artificial neural networks for rainfall-runoff modelling: Trade-offs in hydrological state representation and model evaluation.” Hydrol. Earth Syst. Sci. Discuss., 2(1), 365–415.
Elsanabary, M., and Gan, T. (2015). “Weekly streamflow forecasting using a statistical disaggregation model for the upper Blue Nile basin, Ethiopia.” J. Hydrol. Eng., 040140641.
Kişi, Ö. (2007). “Streamflow forecasting using different artificial neural network algorithms.” J. Hydrol. Eng., 532–539.
Linares-Rodriguez, A., Lara-Fanego, V., Pozo-Vazquez, D., and Tovar-Pescador, J. (2015). “One-day-ahead streamflow forecasting using artificial neural networks and a meteorological mesoscale model.” J. Hydrol. Eng., 050150011.
Wu, J. S., Han, J., Annambhotla, S., and Bryant, S. (2005). “Artificial neural networks for forecasting watershed runoff and stream flows.” J. Hydrol. Eng., 216–222.
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Journal of Hydrologic Engineering
Volume 21 • Issue 1 • January 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Mar 27, 2015
Accepted: Apr 17, 2015
Published online: Oct 16, 2015
Published in print: Jan 1, 2016
Discussion open until: Mar 16, 2016
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Authors
Affiliations
Associate Professor, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, Tehran, Iran (corresponding author). E-mail: [email protected]
Ph.D. Candidate, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, Tehran, Iran. E-mail: [email protected]
Ph.D. Candidate, Dept. of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, Univ. of Tehran, Karaj, Tehran, Iran. E-mail: [email protected]
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