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Proceedings of the International Academy of Ecology and Environmental Sciences, 2014, 4(3): 114-122
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Article

Multivariate statistical analysis of surface water chemistry: A case study of Gharasoo River, Iran

MH Sayadi1, A Rezaei1, MR Rezaei1, K Nourozi2
1Environmental Department, University of Birjand, Birjand, Iran
2Department of Environmental Protection Kermanshah, Iran

Received 8 May 2014;Accepted 15 June 2014;Published online 1 September 2014
IAEES

Abstract
Regional water quality is a hot spot in the environmental sciences for inconsistency of pollutants. In this paper, the surface water quality of the Gharasoo River in western Iran is assessed incorporating multivariate statistical techniques. Parameters like EC, TDS, pH, HCO3-, Cl-, SO4 2-, Ca2+, Mg2+ and Na+ were analyzed. Principal component and factor analysis is showed the parameters generated 3 significant factors, which explained 73.06% of the variance in data sets. Factor 1 may be derived from agricultural activities and subsequent release of EC, TDS, SO4 2- and Na+ to the water. Factor 2 could be influenced by domestic pollution and explained the deliverance of HCO3-, Cl- and Mg2+ into the water. Factor 3 contains hydro-geochemical variable Ca2+ and pH, originating from mineralization of the geological components of bed sediments and soils of watershed area. Likewise, the clustering analysis generated 3 groups of the stations as the groups had similar characteristic features. Pearson correlation analysis showed significant correlations between HCO3- and Mg2+ (0.775), Ca2+ (0.552) as well as TDS and Na+ (0.726). With reference to multivariate statistical analyses it can be concluded that the agricultural, domestic and hydro-geochemical sources are releasing the pollutants into the Gharasoo River water.

Keywords anthropogenic activities;geological components;Gharasoo River;PCA;water quality.


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