Thirty-two soil samples were collected from the study area in October 2020 for geochemical and pollutants investigation of Shwan Sub-basin soil. All soil samples were analysed for different geochemical analyses. The analysis results revealed that the pH values in soil samples ranged from 7.12 to 7.56 with a mean of 7.327. According to the pH values detected in the soil samples, the soil is classified as neutral soil. The electrical conductivity ranged from 0.92 mmhos/cm to 7.8 mmhos/cm with a mean of 1.53 mmhos/cm. Thus, according to the detected electrical conductivity values, the soil was classified as non-saline to slightly saline. The organic matter ranged from 1.14% to 1.45% with a mean value of 1.326 %, while total organic

An aggregate of 30 samples (water, sediments, and plants) was collected from Al-Chibayish Marsh, located in Dhi-Qar Governorate southern of Iraq to investigate the bioaccumulation and biomagnification in marsh plants (flora) and to assess the marsh plants pollution condition. The study was conducted by testing the macro elements, microelements, heavy metals, and organic compositions in water, sediments, and plants. Plant analyses revealed that the Salvinia natans plant species had the highest concentrations of macroelements Mg, Ca, Na, P, and N compared with other marsh plants and sediments. As a result, the cation binds itself to be more than one charged cationic site and this behaviour was observed in Salvinia natans sp. which has the

The shortage in surface water quantities led to a shift in dependence on the groundwater as an alternative water source in southern parts of Iraq. The groundwater is decreasing in quantity and water quality is degrading due to different factors. Therefore, it is important to assess the groundwater quality of the Missan Governorate of the country by analyzing the physicochemical parameters and distinguishing the probable sources of contaminants in the area. The present study used water quality diagrams and statistical methods such as factor analysis and agglomerative cluster analysis to determine the sources of chemical ions in the forty-four groundwater samples collected from wells in the study area. In addition, the Water Quality Index (WQ