摘要：The multivariate data analysis is used to analyse groundwater samples from 13 different wells along a period of 13 years. The results show that the most significant pollutants for the groundwater resources in the region are Cl and Na which are come mainly from the Wadi Zomer stream as the main source. HCO3, show relatively low concentration and restricted to those wells which have low abstraction rates and, slightly effected by the pollutants, and received a good replenishment of. Ward’s method was used for cluster analysis. It managed to classify the wells into three groups, according their geochemical and locations characteristics. Some wells were clustered near each other, since they share the same effects of the surrounded environment. The geological formations and the layers that water taped from play also a role in the water quality distribution. The results emphasize that there is a pollution-dilution process that the groundwater undergoes between a freshwater end-member from the upper Cenomanian Turonian replenished water that prevailed more HCO3 content, and the polluted water end member that contains high Na/Cl.
关键词：Multivariate Data Analysis; Principal Component Analysis; Hierarchical Cluster Analysis; Ward’s Method; Ground Water; Pollution; Quality; Palestine
