@article{fdi:010092639,
  title = {{F}lood frequency analysis in {W}est {A}frica},
  author = {{D}iop, {S}. {B}. and {T}ramblay, {Y}ves and {B}odian, {A}. and {E}kolu, {J}. and {R}ouch{\'e}, {N}athalie and {D}ieppois, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{D}evastating flood events are recurrently impacting {W}est {A}frica. {T}o mitigate flood impacts and reduce the vulnerability of populations, a better knowledge on the frequency of these events is crucial. {T}he lack of reliable hydrometric datasets has hitherto been a major limitation in flood frequency analysis at the scale of {W}est {A}frica. {U}tilising a recently developed {A}frican database, we perform a flood frequency analysis on the annual maximum flow ({AMF}) time series, covering 246 river basins in {W}est {A}frica, between 1975 and 2018. {G}eneralized extreme value ({GEV}) and {G}umbel probability distributions were compared to fit {AMF} time series with the {L}-moments, {M}aximum {L}ikelihood ({MLE}) and {G}eneralized {M}aximum {L}ikelihood ({GMLE}) methods. {R}esults indicated that the {GEV} distribution with the {GMLE} method provided the best results. {R}egional envelope curves covering the entire {W}est {A}frican region with unprecedented data coverage have been generated for the first-time providing insights for the estimation in flood quantiles for ungauged basins. {T}he correlation between flood quantiles and watershed properties shows significant correlations with catchment area, groundwater storage, altitude and topographic wetness index. {T}he findings from this study are useful for a better flood risk assessment and the design of hydraulic infrastructures in this region, and are a first step prior to the development of regional approaches to transfer the information from gauged sites to ungauged catchments.},
  keywords = {flood frequency analysis ; {GEV} ; {GMLE} ; regional envelope curve ; {W}est {A}frica ; {AFRIQUE} {DE} {L}'{OUEST}},
  booktitle = {},
  journal = {{J}ournal of {F}lood {R}isk {M}anagement},
  volume = {18},
  numero = {1},
  pages = {e70001 [19 ]},
  ISSN = {1753-318{X}},
  year = {2025},
  DOI = {10.1111/jfr3.70001},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092639},
}