Assessment the Orontes water quality using statistical analysis methods

Abstract

The study aims to assess the water quality of the Orontes River by using a statistical study at several monitoring points distributed along the river. To know the advantages of the variables affecting the quality of river water, multivariate statistical analysis (cluster, factor) was applied to the results of analyzing samples of river water from the beginning of its entry into Homs Governorate until its exit from the year (2007-2020), where the cluster analysis classified the observatories group according to the similarity in the specifications into two clusters (low pollution, polluted), which reduces the number of sites needed for sampling, and the factor analysis gave the best percentage of interpretation of the variance of 87.86% of the total variance when comparing the structural patterns of the clusters And 4 basic factors with high quality measurement, and it includes seven basic variables, which are: (EC, COD, BOD, Na, DO, NO₃, TSS).