Streamflow forecasting by modeling the rainfall–streamflow relationship using artificial neural networks

Author:

Ali Shahzad,Shahbaz Muhammad

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science

Reference36 articles.

1. Abdulkadir TS, Salami AW, Anwar AR, Kareem AG (2013) Modelling of hydropower reservoir variables for energy generation: neural network approach. Ethiop J Environ Stud Manag 6(3):310–316

2. Agro-Dev A (2000) International (Pvt) Ltd. Tarbela Dam and related aspects of the Indus River Basin, Pakistan, AWCD case study prepared as an input to the World Commission on Dams, Cape Town, South Africa

3. Akhtar MK, Corzo GA, Van Andel SJ, Jonoski A (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. Hydrol Earth Syst Sci 13(9):1607–1618

4. Ali A (2013) Indus Basin floods: mechanisms, impacts, and management. Asian Development Bank, Mandaluyong

5. Archer DR, Fowler HJ (2008) Using meteorological data to forecast seasonal runoff on the River Jhelum, Pakistan. J Hydrol 361(1–2):10–23

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