@article{fdi:010089759,
  title = {{G}roundwaters in the {A}uvergne-{R}h{\^o}ne-{A}lpes {R}egion, {F}rance : grouping homogeneous groundwater bodies for optimized monitoring and protection},
  author = {{A}yach, {M}. and {L}azar, {H}. and {L}amat, {C}. and {B}ousouis, {A}. and {T}ouzani, {M}. and {E}l {J}arjini, {Y}. and {K}acimi, {I}. and {V}alles, {V}. and {B}arbi{\'e}ro, {L}aurent and {M}orarech, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he number and diversity of groundwater bodies ({GWB}s) in large {F}rench administrative regions pose challenges to their monitoring and protection by regional health agencies. {T}o overcome this obstacle, we propose, for the {A}uvergne-{R}hone-{A}lpes region (about 70,000 km2), a grouping of {GWB}s into homogeneous groups based on the sources of variability within a large dataset of groundwater physico-chemical and bacteriological characteristics (8078 observations and 13 parameters). {T}his grouping involved a dimensional reduction in the data hyperspace by principal component analysis ({PCA}) and a clustering based on the mean values of each {GWB} on the factorial axes. {T}he information lost when clustering from the sample point scale to the {GWB} scale and then to that of the {GWB} group was quantified by analysis of variance and showed that grouping {GWB}s is accompanied by a small loss of information. {A} discriminant analysis confirmed the high spatial and temporal variability within the dataset, as well as the effectiveness of the proposed method for establishing homogeneous sets. {S}ome roadmaps for more targeted monitoring of water resources were briefly proposed.},
  keywords = {groundwater resource ; groundwater bodies ; chemical composition ; bacteriological composition ; {A}uvergne-{R}hone-{A}lpes region ; {F}rance ; {FRANCE}},
  booktitle = {},
  journal = {{W}ater},
  volume = {16},
  numero = {6},
  pages = {869 [16 ]},
  year = {2024},
  DOI = {10.3390/w16060869},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089759},
}