@article{fdi:010074895,
  title = {{F}uture climate change impacts on streamflows of two main {W}est {A}frica river basins : {S}enegal and {G}ambia},
  author = {{B}odian, {A}. and {D}ezetter, {A}lain and {D}iop, {L}. and {D}eme, {A}. and {D}jaman, {K}. and {D}iop, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his research investigated the effect of climate change on the two main river basins of {S}enegal in {W}est {A}frica: the {S}enegal and {G}ambia {R}iver {B}asins. {W}e used downscaled projected future rainfall and potential evapotranspiration based on projected temperature from six {G}eneral {C}irculation {M}odels ({C}an{ESM}2, {CNRM}, {CSIRO}, {H}ad{GEM}2-{CC}, {H}ad{GEM}2-{ES}, and {MIR}005) and two scenarios ({RCP}4.5 and {RCP}8.5) to force the {GR}4{J} model. {T}he {GR}4{J} model was calibrated and validated using observed daily rainfall, potential evapotranspiration from observed daily temperature, and streamflow data. {F}or the cross-validation, two periods for each river basin were considered: 1961-1982 and 1983-2004 for the {S}enegal {R}iver {B}asin at {B}afing {M}akana, and 1969-1985 and 1986-2000 for the {G}ambia {R}iver {B}asin at {M}ako. {M}odel efficiency is evaluated using a multi-criteria function ({F}-agg) which aggregates {N}ash and {S}utcliffe criteria, cumulative volume error, and mean volume error. {A}lternating periods of simulation for calibration and validation were used. {T}his process allows us to choose the parameters that best reflect the rainfall-runoff relationship. {O}nce the model was calibrated and validated, we simulated streamflow at {B}afing {M}akana and {M}ako stations in the near future at a daily scale. {T}he characteristic flow rates were calculated to evaluate their possible evolution under the projected climate scenarios at the 2050 horizon. {F}or the near future (2050 horizon), compared to the 1971-2000 reference period, results showed that for both river basins, multi-model ensemble predicted a decrease of annual streamflow from 8% ({S}enegal {R}iver {B}asin) to 22% ({G}ambia {R}iver {B}asin) under the {RCP}4.5 scenario. {U}nder the {RCP}8.5 scenario, the decrease is more pronounced: 16% ({S}enegal {R}iver {B}asin) and 26% ({G}ambia {R}iver {B}asin). {T}he {G}ambia {R}iver {B}asin will be more affected by the climate change.},
  keywords = {{RELATION} ; {PLUIE} ; {DEBIT} ; {MODELISATION} ; {CALIBRAGE} ; {PRECIPITATION} ; {VARIATION} {JOURNALIERE} ; {EVAPOTRANSPIRATION} {POTENTIELLE} ; {TEMPERATURE} ; {ETALONNAGE} ; {SIMULATION} ; {EVOLUTION} ; {METHODOLOGIE} ; {BASSIN} {FLUVIAL} ; {COURS} {D}'{EAU} ; {S}enegal {R}iver {B}asin ; {G}ambia {R}iver {B}asin ; climate change ; {GR}4{J} ; rainfall-runoff modeling ; streamflow ; {SENEGAL} ; {GUINEE} ; {MALI} ; {SENEGAL} {BASSIN} ; {GAMBIE} {BASSIN}},
  booktitle = {},
  journal = {{H}ydrology},
  volume = {5},
  numero = {1},
  pages = {21 [18 ]},
  ISSN = {2306-5338},
  year = {2018},
  DOI = {10.3390/hydrology5010021},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074895},
}