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Groundwater Quality Zonation Assessment using GIS, EOFs and Hierarchical Clustering
Stockholm University, Faculty of Science, Department of Meteorology .
2013 (English)In: Water resources management, ISSN 0920-4741, E-ISSN 1573-1650, Vol. 27, no 7, 2465-2481 p.Article in journal (Refereed) Published
Abstract [en]

Three methods are utilized in this paper to assist in the groundwater clustering, in an arid region aquifer, into similar zones according to its quality. A multiple regression is first applied in order to assess the importance of the different chemical constituents in the amount of total dissolved salt, which shows the dominance of chlorine and sodium. A multivariate analysis based on empirical orthogonal functions and hierarchical clustering (EOFs) is applied to assist in water quality clustering in the studied aquifer. The clustering has produced five distinguished categories of groundwater quality, which agree well with World Health Organisation criteria and limits for water usage. Based on these categories, spatial distribution maps of groundwater quality are produced by Kriging and GIS software.

Place, publisher, year, edition, pages
2013. Vol. 27, no 7, 2465-2481 p.
Keyword [en]
Groundwater quality, Chemical constituents, TDS, Hierarchical clustering
National Category
Meteorology and Atmospheric Sciences Oceanography, Hydrology, Water Resources
URN: urn:nbn:se:su:diva-90358DOI: 10.1007/s11269-013-0297-0ISI: 000318004800034OAI: diva2:630732


Available from: 2013-06-19 Created: 2013-06-03 Last updated: 2013-06-19Bibliographically approved

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Hannachi, Abdelwaheb
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