@article{fdi:010083360,
  title = {{A} parametric sensitivity analysis for prioritizing regolith knowledge needs for modeling water transfers in the {W}est {A}frican critical zone},
  author = {{H}erzog, {A}. and {H}ector, {B}asile and {C}ohard, {J}. {M}. and {V}ouillamoz, {J}ean-{M}ichel and {L}awson, {F}. {M}. {A}. and {P}eugeot, {C}hristophe and de {G}raaf, {I}.},
  editor = {},
  language = {{ENG}},
  abstract = {{H}ard rock aquifers ({HRA}s) in {W}est {A}frica ({WA}) are located within a thick regolith layer. {T}he representation of thick tropical regolith in integrated hydrological models lacks consensus on aquifer geometries and parameter ranges. {O}ur main objective was to determine the knowledge requirements on saturated hydraulic conductivity ({K}-s) to model the critical zone ({CZ}) of {HRA}s in {WA}. {A} parametric sensitivity analysis with a focus on the representation of the {K}-s heterogeneity of the regolith was conducted with a critical zone model ({P}arflow-{CLM} [{C}ommunity {L}and {M}odel]) of the {U}pper {O}ueme catchment in {B}enin (14,000 km(2)) at a 1- x 1-km(2) resolution. {T}he impact of parameter changes in the near subsurface (0.3-to-5-m depth) and in the deeper regolith aquifer (24- and 48-m maximum depth) was assessed in five modeling experiments. {S}treamflow was largely dependent on {K}-s and on clay distribution in the near subsurface and less on the properties of the deeper subsurface. {G}roundwater table depths and amplitudes were controlled by vegetation and topography as observed on instrumented hillslopes and for {K}-s within the literature range. {E}xperiments with higher {K}-s suggested a {K}-s threshold where dynamics become less determined by one-dimensional vertical and more determined by lateral processes. {S}uch heterogeneity impacts from smaller scales need to be accounted for when hydrological models are upscaled to larger domains (1- x 1-km(2) resolution or coarser). {O}ur findings highlight the need for a new conceptual approach to represent clay distribution in order to develop catchment-scale {CZ} models of {HRA}s in {WA} that capture the observed processes.},
  keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {BENIN} ; {OUEME} {COURS} {D}'{EAU}},
  booktitle = {},
  journal = {{V}adose {Z}one {J}ournal},
  volume = {20},
  numero = {6},
  pages = {e20163 [22 ]},
  year = {2021},
  DOI = {10.1002/vzj2.20163},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083360},
}