A Hybrid Model to Predict Monthly Streamflow Using Neighboring Rivers Annual Flows
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-020-02757-4.pdf
Reference23 articles.
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2. Al-Juboori AM, Guven A (2016) A stepwise model to predict monthly streamflow. J Hydrol 543:283–292. https://doi.org/10.1016/j.jhydrol.2016.10.006
3. Araghinejad S, Fayaz N, Hosseini-Moghari S (2018) Development of a hybrid data driven model for hydrological estimation. Water Resour Manag 32:3737–3750. https://doi.org/10.1007/s11269-018-2016-3
4. Awchi TA (2014) River discharges forecasting in northern Iraq using different ANN techniques. Water Resour Manag 28:801–814. https://doi.org/10.1007/s11269-014-0516-3
5. Brath A, Montanari A, Toth E (2002) Neural networks and non-parametric methods for improving realtime flood forecasting through conceptual hydrological models. Hydrol Earth Syst Sci 6:627–640. https://doi.org/10.5194/hess-6-627-2002
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