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July 16, 2026Proceedings of the International Association of Hydrological SciencesOpen Access

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

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Authors

MCMelvine R. H. CodjoADAudace A. V. Dossou-OloryADAliou Diop

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Overview

Randomized trial analyzes maximum flow rates in South-East Senegal, suggesting improved flood risk management techniques.

Key Points

  • The aim is to model maximum annual flow in South-East Senegal using the generalized extreme value distribution.
  • Analyzed maximum annual flow data using the GEV distribution.
  • Compared statistical methods including maximum likelihood estimation, probability-weighted moments, percentiles, and quantile least squares.
  • Evaluated model performance using Average Standardized Absolute Error and goodness-of-fit tests.
  • Probability-weighted moments method yielded the best fit for the data.
  • 100-year return level of maximum annual flow estimated at 1751.242 m3 s−1, indicating occurrence approximately every 100 years.
  • Gumbel distribution found to be more suitable for representing maximum annual flows in the study area.

Cite This Study

Codjo et al. (2026) studied this question.

synapsesocial.com/papers/6a58752d2b46c88ba9ad0fa2https://doi.org/10.5194/piahs-388-49-2026
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