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: 348

Full Length Research Paper

Characterization of rainfall occurrences using a Markovian approach and artificial neural networks in the Oueme River basin at Savè Outlet in Benin

Pierre J. Zohou
  • Pierre J. Zohou
  • Université d'Abomey-Calavi, Benin.
  • Google Scholar
Iboukoun E. Biao
  • Iboukoun E. Biao
  • Université Nationale des Sciences Technologies, Ingénierie et Mathématiques (UNSTIM), Abomey, Bénin.
  • Google Scholar
John O. R. Aoga
  • John O. R. Aoga
  • Université d'Abomey-Calavi, Benin.
  • Google Scholar
Adechina E. Alamou
  • Adechina E. Alamou
  • Université Nationale des Sciences Technologies, Ingénierie et Mathématiques (UNSTIM), Abomey, Bénin.
  • Google Scholar
Eugene C. Ezin
  • Eugene C. Ezin
  • Université d'Abomey-Calavi, Benin.
  • Google Scholar


  •  Received: 31 January 2023
  •  Accepted: 31 March 2023
  •  Published: 30 April 2023

How to cite this article

APA /
Zohou, P. J., Biao, I. E., Aoga, J. O. R., Alamou, A. E., & Ezin, E. C., (2023). Characterization of rainfall occurrences using a Markovian approach and artificial neural networks in the Oueme River basin at Savè Outlet in Benin. International Journal of Water Resources and Environmental Engineering, 15(2), 13-24.
Chicago /
Pierre J. Zohou, Iboukoun E. Biao, John O. R. Aoga, Ad&echina E. Alamou and Eugène C. Ezin  . "Characterization of rainfall occurrences using a Markovian approach and artificial neural networks in the Oueme River basin at Savè Outlet in Benin." International Journal of Water Resources and Environmental Engineering 15, no. 2 (2023): 13-24.
MLA /
Pierre J. Zohou, et al. "Characterization of rainfall occurrences using a Markovian approach and artificial neural networks in the Oueme River basin at Savè Outlet in Benin." International Journal of Water Resources and Environmental Engineering 15.2 (2023): 13-24.