Heavy Metal Contamination in Nwaniba River: A Machine Learning-Driven Ecosystem Analysis
The rapid industrialization and urbanization of the Uruan Local Government Area of Akwa Ibom State, Nigeria, have significantly contributed to heavy metal contamination in the Nwaniba River. This research assesses the ecological risks associated with contamination using advanced machine learning techniques. Water, sediment, and marine organism samples were analyzed using ICP-OES to quantify seven heavy metals: iron (Fe), copper (Cu), nickel (Ni), lead (Pb), zinc (Zn), chromium (Cr), and manganese (Mn).