Qualitative and quantitative evaluation of surface water using statistical analysis in Azna River, Lorestan

Abstract

Water pollution in recent decades is as serious threat to the human and natural ecosystem so that assessing changes water quality are one of the most important topics for desirable use . In this investigation has been studied the Azna river quality in Chamzaman Hydrometric station that used for dry period (April to September) and wet period (October to March).To evaluate the water quality were used the Piper, Schoeller, Wilcox and time-series diagrams. Results water river Azna in Piper diagram indicative water type is calcic bicarbonates. In studied river, according to the graph Schuler is evaluated good and desirable for drinking. According to statistical studies, the methods of data analysis led to be determined 11 principal components for the data set, the first three components with more than 70% variability, statistical population interpret. Also according to the graph plotted cluster the samples is plotted in four clusters contains: the first cluster SO4-2 and pH, second cluster K+,third cluster Ca2+ and in the fourth cluster TDS, EC, Cl-, Mg2+, HCO3-, Na+ and TH. The highest correlation between the total dissolved solid and chloride is observed. According to meaningful level of 0/05 in Kolmogorov – Smirnov, all ions of Azna River have normal distribution. Linear regression analysis of cations, anions and electrical conductivity as the dependent variableversus of total dissolved solids as the independent variable show high correlation between TDS with EC and Cl.

Keywords

• pca
• linear regression
• main components
• cluster correlation