Assessment of Water Quality of Al-Habbaniya Lake by Using Statistical Techniques (Cluster and Factor Analysis)

Abstract

Abstract Habbanyia lake is one of the most crucial resources of water, water lake is used mainly for agriculture, animal activities, and drinking water purposes. In addition, it represents a tourist city. Multivariable statistical approach was used to assess the quality of the water of Habbanyia lake in west Baghdad, to determine how the physical and chemical qualities relate of lake water and the local trend of water type. R-mode and Q-mode cluster and factor analyses were used to categorize chemical characteristics and determine the variables influencing changes in quality. The results show, the water samples are considered to be Fresh water and all the lake water samples were within the WHO standard. In general, Ca-SO4 and Na-SO4 facies were the most prevalent in the Habbanyia Lake water. The results show, there are two factors controlling the water quality of Habbanyia lake, the first is geological sitting and the second is human activities.