%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Tiouiouine, A.
%A Yameogo, S.
%A Valles, V.
%A Barbiéro, Laurent
%A Dassonville, F.
%A Moulin, M.
%A Bouramtane, T.
%A Bahaj, T.
%A Morarech, M.
%A Kacimi, I.
%T Dimension reduction and analysis of a 10-year physicochemical and biological water database applied to water resources intended for human consumption in the Provence-Alpes-Cote d'Azur region, France
%D 2020
%L fdi:010078916
%G ENG
%J Water
%K hydrochemistry ; water resource ; hydrogeology ; multivariate statistics ; France
%K FRANCE
%M ISI:000519846500216
%N 2
%P art. 525 [18 ]
%R 10.3390/w12020525
%U https://www.documentation.ird.fr/hor/fdi:010078916
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers20-04/010078916.pdf
%V 12
%W Horizon (IRD)
%X The SISE-Eaux database of water intended for human consumption, archived by the French Regional Health Agency (ARS) since 1990, is a rich source of information. However, more or less regular monitoring over almost 30 years and the multiplication of parameters lead to a sparse matrix (observations x parameters) and a large dimension of the hyperspace of data. These characteristics make it difficult to exploit this database for a synthetic mapping of water quality, and to identify of the processes responsible for its diversity in a complex geological context and anthropized environment. A 10-year period (2006-2016) was selected from the Provence-Alpes- Cote d'Azur region database (PACA, southeastern France). We extracted 5,295 water samples, each with 15 parameters. A treatment by principal component analysis (PCA) followed with orthomax rotation allows for identifying and ranking six principal components (PCs) totaling 75% of the initial information. The association of the parameters with the principal components, and the regional distribution of the PCs make it possible to identify water-rock interactions, bacteriological contamination, redox processes and arsenic occurrence as the main sources of variability. However, the results also highlight a decrease of useful information, a constraint linked to the vast size and diversity of the study area. The development of a relevant tool for the protecting and managing of water resources will require identifying of subsets based on functional landscape units or the grouping of groundwater bodies.
%$ 062 ; 020