@article{fdi:010079086,
  title = {{U}se of global sensitivity and data-worth analysis for an efficient estimation of soil hydraulic properties},
  author = {{Y}ounes, {A}nis and {S}hao, {Q}. and {M}ara, {T}. {A}. and {B}aalousha, {H}. {M}. and {F}ahs, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}ccurate simulation of flow and contaminant transport processes through unsaturated soils requires adequate knowledge of the soil parameters. {T}his study deals with the hydraulic characterization of soils using laboratory experiments. {A} new strategy is developed by combining global sensitivity analysis ({GSA}) and {B}ayesian data-worth analysis ({DWA}) to obtain efficient data that ensure a good estimation of the soil properties. {T}he strategy is applied for the estimation of soil properties from a laboratory infiltration experiment. {R}esults of this study show that {GSA} allows identification of regions and periods of high sensitivity of each parameter and thereby, the observations prone to contain information for a successful calibration. {F}urther, the sensitivity depicts a nonlinear behavior with regions of high influence and regions of weak influence inside the parameter space. {B}ayesian {DWA}, performed a priori, allows to quantify the improvement of the posterior uncertainty of the estimated parameters when adding a type of measurement. {T}he results reveal that an accurate estimation of the soil properties can be obtained if the target parameter values are located in the regions of high influence in the parameter space.},
  keywords = {global sensitivity analysis ; data-worth analysis ; parameter estimation ; unsaturated soil ; {B}ayesian inference ; laboratory experiment},
  booktitle = {},
  journal = {{W}ater},
  volume = {12},
  numero = {3},
  pages = {art. 736 [15 ]},
  year = {2020},
  DOI = {10.3390/w12030736},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079086},
}