Articles | Volume 388
https://doi.org/10.5194/piahs-388-49-2026
https://doi.org/10.5194/piahs-388-49-2026
Post-conference publication
 | 
14 Jul 2026
Post-conference publication |  | 14 Jul 2026

Modeling the maximum annual flow in South-East Senegal using the GEV distribution

Melvine R. H. Codjo, Audace A. V. Dossou-Olory, and Aliou Diop

Cited articles

Ashoori, F., Ebrahimpour, M., and Bozorgnia, A.: Modeling of maximum precipitation using maximal generalized extreme value distribution, Commun. Stat. Theory, 46, 3025–3033, https://doi.org/10.1080/03610926.2015.1034325, 2017. 
Bates, B. C., Kundzewicz, Z. W., Wu, S., and Palutikof, J. P. (Eds.): Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change, IPCC Secretariat, Geneva, 210 pp., https://archive.ipcc.ch/pdf/technical-papers/ccw/frontmatter.pdf (last access: June 2026), 2008. 
Bodian, A., Dezetter, A., and Dacosta, H.: Apport de la modélisation pluie-débit pour la connaissance de la ressource en eau: application en haut bassin du fleuve Sénégal, Climatologie, 9, 109–125, https://doi.org/10.4267/climatologie.223, 2012. 
Chikobvu, D. and Chifurira, R.: Modelling of extreme minimum rainfall using generalised extreme value distribution for Zimbabwe, S. Afr. J. Sci., 111, 01–08, https://doi.org/10.17159/sajs.2015/20140271, 2015. 
Douglas, E. M. and Barros, A. P.: Probable maximum precipitation estimation using multifractals: Application in the eastern United States, J. Hydrometeorol., 4, 1012–1024, https://doi.org/10.1175/1525-7541(2003)004<1012:PMPEUM>2.0.CO;2, 2003. 
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Short summary
This study examines extreme river flows in south-eastern Senegal to better understand flood risks. Using historical data, we analyzed how often very high river flows occur and how large they can be. The results show that rare but intense floods can be expected over long periods. These findings help improve planning for water management and infrastructure, and support better preparation for future flood events in the region.
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