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Titre : |
Polluted aquifers: identification and characterisation by statistical analysis
|
in | Water Science and Technology , Vol. 61 n° 2, 06/02/2010 |
Auteur(s) : |
Analia Boemo
Haydée Musso Irene Lomniczi |
Type de document : | Article |
Sujets : | Aquifère ; Pollution ; Analyse de l'eau CLUSTER ARGENTINE |
Résumé : |
Hierarchical clustering and principal component analysis applied to chemical components and physicochemical properties of well water proved to be a useful tool for identification and characterisation of aquifers. Underground water of Lerma Valley (Salta, Argentina) was examined for its physical and chemical properties by sampling 46 wells located in two adjacent areas separated by hills, one of them polluted with boron since 1991. Hierarchical clustering splits sampled sites into two main clusters, corresponding to the two areas, establishing the fact that the aquifers should be considered as two different entities in spite of their common recharge area. |
Article en page(s) : | 331 - 337 |
Langue(s) : | Anglais |
Lien vers la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=137359 |
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