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Evaluation of groundwater pollution using multivariate statistical analysis: A case study from Burimi area, Kosovo

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Research Paper 01/01/2013
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Evaluation of groundwater pollution using multivariate statistical analysis: A case study from Burimi area, Kosovo

Sabri Avdullahi, Islam Fejza, Ahmet Tmava
J. Bio. Env. Sci.3( 1), 95-102, January 2013.
Certificate: JBES 2013 [Generate Certificate]
Key: BurimiCluster analysesFactor analysisGroundwater qualityPrincipe component

Abstract

Groundwater pollution can be described as degrading of water quality for any usage. Sources of pollution are grouped into two as natural pollution and man-made pollution. The source of ground-water pollution is many and varied because in addition to natural processes practically every type of facility or structure installed by man, and each of his activities may eventually contribute to ground-water quality problems. The aim of this work is to analyze hydro chemical data of groundwater from the 22 sampling points in this aquifer. The descriptive statistical analysis was done besides the principal component, Pearson correlation, and regression analysis. The principal component analysis identified three factors that are responsible for the data structure explaining 82.89% of the total variance of the data set. Factor 1 to 3 explains variance of 54.02%, 16.81% and 12.06% respectively. This study indicates the necessary and usefulness of multivariate statistical techniques to get better information about the water quality and to prevent the pollution caused by households and industries in the future.

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