@article{fdi:010092145,
  title = {{M}ultivariate and spatial study and monitoring strategies of groundwater quality for human consumption in {C}orsica},
  author = {{L}azar, {H}. and {A}yach, {M}. and {B}ousouis, {A}. and {H}uneau, {F}. and {M}ori, {C}. and {G}arel, {E}. and {K}acimi, {I}. and {V}alles, {V}. and {B}arbi{\'e}ro, {L}aurent},
  editor = {},
  language = {{ENG}},
  abstract = {{G}roundwater, widely used for supplying drinking water to populations, is a vital resource that must be managed sustainably, which requires a thorough understanding of its diverse physico-chemical and bacteriological characteristics. {T}his study, based on a 27-year extraction from the {S}ise-{E}aux database (1993-2020), focused on the island of {C}orsica (72,000 km2), which is diverse in terms of altitude and slopes and features a strong lithological contrast between crystalline {C}orsica and metamorphic and sedimentary {C}orsica. {F}ollowing logarithmic conditioning of the data (662 water catchments, 2830 samples, and 15 parameters) and distinguishing between spatial and spatiotemporal variances, a principal component analysis was conducted to achieve dimensionality reduction and to identify the processes driving water diversity. {I}n addition, the spatial structure of the parameters was studied. {T}he analysis notably distinguishes a seasonal determinism for bacterial contamination (rain, runoff, bacterial transport, and contamination of catchments) and a more strictly spatial determinism (geographic, lithological, and land use factors). {T}he behavior of each parameter allowed for their classification into seven distinct groups based on their average coordinates on the factorial axes, accounting for 95% of the dataset's total variance. {S}everal strategies can be considered for the inventory and mapping of groundwater, namely, (1) establishing quality parameter distribution maps, (2) dimensionality reduction through principal component analysis followed by two sub-options: (2a) mapping factorial axes or (2b) establishing a typology of parameters based on their behavior and mapping a representative for each group. {T}he advantages and disadvantages of each of these strategies are discussed.},
  keywords = {water quality monitoring ; groundwater database ; bacteriological composition ; chemical composition ; cluster analysis ; principal component analysis ; {C}orsica ; {FRANCE} ; {CORSE}},
  booktitle = {},
  journal = {{H}ydrology},
  volume = {11},
  numero = {11},
  pages = {197 [18 ]},
  year = {2024},
  DOI = {10.3390/hydrology11110197},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092145},
}