@article{fdi:010084472,
  title = {{E}valuation of the drivers responsible for flooding in {A}frica},
  author = {{T}ramblay, {Y}ves and {V}illarini, {G}. and {E}l {K}halki, {E}.{M}. and {G}ründemann, {G}. and {H}ughes, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}frica is severely affected by floods, with an increasing vulnerability to these events in the most recent decades. {O}ur improved preparation against and response to this hazard would benefit from an enhanced understanding of the physical processes at play. {H}ere, a database of 399 {A}frican stream gauges is used to analyze the seasonality of observed annual maximum flood, precipitation and soil moisture between 1981 and 2018. {T}he database includes a total of 11,302 flood events, covering most {A}frican regions. {T}he analysis is based on directional statistics to compare the annual maximum river flood with annual maximum rainfall and soil moisture. {T}he results show that the annual maximum flood in most areas is more strongly linked to the annual peak of soil moisture than of annual maximum precipitation. {I}n addition, the interannual variability of flood magnitudes is better explained by the variability of annual maximum soil moisture than by the variability in the annual maximum precipitation. {T}hese results have important implications for flood forecasting and the analysis of the long-term evolution of these hydrological hazards in relation with their drivers.},
  keywords = {{MAROC} ; {SENEGAL} ; {BENIN} ; {COTE} {D}'{IVOIRE} ; {AFRIQUE} {DU} {SUD}},
  booktitle = {},
  journal = {{W}ater {R}esources {R}esearch},
  volume = {57},
  numero = {6},
  pages = {e2021{WR}029595 [14 ]},
  ISSN = {0043-1397},
  year = {2021},
  DOI = {10.1029/2021{WR}029595},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084472},
}