Simulation of Groundwater Quality Characteristics using Artificial Neural Network

This paper reports the study of groundwater quality assessment in Boluwaduro community, Ofatedo Osun State. In addition, it utilized Artificial Neural Network (ANN) tool MATLAB Software to simulate water parameters/contaminants. Water samples were taken from 18 randomly selected dugwells and subjected physico-chemicals microbiological analysis. The mean concentrations nitrate, nitrite, lead iron are 20.12 mg/L, 0.78 0.159 mg/L 0.35 respectively. Total plate counts range between 27 – 96 cfu/mL with growth all samples. ANN structure was trained several rounds till satisfactory output obtained correlation value R2 = 0.97. Simulation pH using provides a good match at 10% increment chloride, nitrate sources increased corresponding increase parameters. generated model for TDS gave prediction total hardness magnesium some metals wells not safe drinking; could pose danger users sources. It is therefore recommended that community should be routine monitoring treatment contaminants enforced.