Dez River Water Quality assessment by using multivariate statistical methods

In statistical analysis of water quality variables, determining the relationships between these variables isone of the most important issues. In this research, Canonical Correlation Analysis was used to find the relation between physical and chemical variables and Principal Component Analysis was used to determine the main variables of Dez water quality. Also for classification of stations Cluster Analysis was used. Results show that there was significant relation between physical and chemical variables of Dez River because of human activities like Haft-Tapeh sugarcane Agro-Industry Company and industrial companies. Also results of principal component analysis showed that Ec, Temprature, SAR, SO4 ,pH and DO were the main variables of Dez River water quality which were because of human activities and industrial pollutions. Results of cluster analysis for classification of stations showed that Bamdezh and Harmaleh stations (downstream of Dezful city) were in the same class and Tele-Zang station (upstream of Dezful city) was different from other stations then urban zone and human activities have the major impact on station classification.