International Journal of
Water Resources and Environmental Engineering

  • Abbreviation: Int. J. Water Res. Environ. Eng.
  • Language: English
  • ISSN: 2141-6613
  • DOI: 10.5897/IJWREE
  • Start Year: 2009
  • Published Articles: 347

Full Length Research Paper

Estimate stage-discharge relation for rivers using artificial neural networks- Case study: Dost Bayglu hydrometry station over Qara Su River

Khosro Nezamkhiavy
  • Khosro Nezamkhiavy
  • Young Researchers and Elite Club, Meshkinshahr Branch, Islamic Azad University, Meshkinshahr, Iran.
  • Google Scholar
Sohrab Nezamkhiavy
  • Sohrab Nezamkhiavy
  • Young Researchers and Elite Club, Meshkinshahr Branch, Islamic Azad University, Meshkinshahr, Iran.
  • Google Scholar


  •  Received: 28 February 2014
  •  Accepted: 22 August 2014
  •  Published: 30 September 2014

References

Alizadeh A (2002). Principles of applied hydrology. 16th edition. Emam Reza university, Mashhad.
 
Bhattacharya B, Solomatine DP (2000). Application of artificial neural network in stage-discharge relationship. 4th International Conference on Hydroinformatics, Iowa City, USA.
 
Goel A (2011). ANN-Based Approach for Predicting Rating Curve of an Indian River. International Scholarly Research Network, ISRN Civil Engineering Volume 2011, Article ID 291370, 4 pages
Crossref
 
Lohani AK, Goel NK, Bhatia KKS (2007). Deriving stage-discharge-sediment concentration relationships using fuzzy logic. Hydrol. Sci. J. 52(4):793-807.
Crossref
 
Jain SK, Chalisgaonkar (2000). Setting up stage-discharge relations using ANN. J. Hydrol. Eng. 5(4):428-433.
Crossref
 
Thirumalaiah K, Deo MC (1998). River stage forecasting using artificial neural networks. J. Hydrol. Eng. 9(1):26-32.
Crossref