عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Surface water pollution by chemical, physical, and biological contaminants all over the world can be considered as an epidemic problem. To decrease the negative impact of these pollution sources, offering a suitable model for water quality management is known as a key step to improve the quality of water resources system. In this study, given that Sefidrood River is one of the most polluted rivers of Iran and studies in this area has been very limited, we provide a framework for managing the river's water quality based on the canonical correlation analysis (CCA). For this purpose, data from 13 stations, located from the next of the Sefidrood Dam to the Caspian Sea, was used by CCA to determine the parameters of the relationship between physical and chemical pollutants in two period of wet (March) and dry (September). In general, our results suggest a strong relation between physical and chemical parameters in both wet and dry seasons. Therefore we can say as a result that the source of the both pollutant parameters in both high-water and low-water can be the same. Due to the fact that the source of chemical pollutant parameters in a basin is often caused by human induced sources, we can conclude that the origin of physical pollutant parameters, according to the CCA results, is the same as chemical pollutant parameters. So based on the results of this study reducing the human induced pollution sources is an important step in monitoring maintenance and quality improvment of this important river.