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Assessment of monitoring networks of surface waters and determination of main and tributary stations is an important step in the development and improvement of these networks and in increasing their efficiency. In this study, Principal Components Analysis, PCA, and Factor Analysis, PFA, techniques were employed to evaluate water quality monitoring stations on theKaroonRiver. From among the monitoring stations available, eight were selected and the measured data from 2002 to 2004 were used to determine the main and tributary stations. Finally, results were validated employing the regression analysis technique. Based on the results obtained in this study, only one monitoring station (Bandemizan) was identified as the main one among the eight stations selected. Also a similar study was conducted to determine main and tributary quality variables; however, the results of the KMO factor did not confirm using PFA and PCA for this part of study.