@article{fdi:010069252,
  title = {{U}sing land cover changes and demographic data to improve hydrological modeling in the {S}ahel},
  author = {{P}aturel, {J}ean-{E}mmanuel and {M}ah{\'e}, {G}il and {D}iello, {P}. and {B}arbier, {B}. and {D}ezetter, {A}lain and {D}ieulin, {C}laudine and {K}arambiri, {H}. and {Y}acouba, {H}. and {M}aiga, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}t the beginning of the drought in the {S}ahel in the 1970s and 1980s, rainfall decreased markedly, but runoff coefficients and in some cases, absolute runoff increased. {T}his situation was due to the conversion of the land cover from natural vegetation with a low annual runoff coefficient, to cropland and bare soils, whose runoff coefficients are higher. {U}nless they are adapted, hydrological conceptual models, such as {GR}2{M}, are unable to reproduce this increase in runoff. {D}espite the varying environmental and climatic conditions of the {W}est {A}frican {S}ahel, we show that it is possible to increase the performance of the {GR}2{M} model simulations by elaborating a time-varying soil water holding capacity and to incorporate this value in the annual maximum amount of water to be stored in reservoir {A} of the model. {W}e looked for interactions between climate, rural society, and the environment. {T}hese interactions drive land-cover changes in the {S}ahel, which in turn drive the distribution of rainfall between infiltration, evaporation, and runoff and hence the water resources, which are vital in this region. {W}e elaborated several time series of key indicators linked to these interactions. {W}e then integrated these changes in the runoff conditions of the {GR}2{M} model through the maximum value of the reservoir capacity. {W}e calculated annual values of water holding capacity using the annual values of four classes of land cover, natural vegetation, cultivated area, bare soil, and surface water. {W}e then used the hydrological model with and without this time-varying soil value of {A} and compared the performances of the model under the two scenarios. {W}hatever the calibration period used, the {N}ash-{S}utcliffe index was always greater in the case of the time-varying {A} time series.},
  keywords = {demographic model ; environmental indicators ; hydrological modeling ; land cover ; {S}ahel ; soil water holding capacity ; {BURKINA} {FASO} ; {SAHEL} ; {NAKANBE} {BASSIN}},
  booktitle = {},
  journal = {{H}ydrological {P}rocesses},
  volume = {31},
  numero = {4},
  pages = {811--824},
  ISSN = {0885-6087},
  year = {2017},
  DOI = {10.1002/hyp.11057},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069252},
}