Uzoije Atulegwu Patrick2024-11-112024-11-112010Uzoije, A. P. (2010). Soil quality modeling of a highly acidic eutric - tropofluvent soil, World Applied Sciences Journal, vol. 11(5): pp. 614-621.1818-4952https://repository.futo.edu.ng/handle/20.500.14562/1475A research article on "Soil quality modeling of a highly acidic eutric - tropofluvent soil" It contains tables, graphs and mathematical formulas.Waste from garri processing centre of Umuagwo, Ohaji L.G.A of Imo state has impacted enormous pollution on the soil ecosystem of the centre. Huge resources and quality man hour have been spent on determining the level of such pollution in similar circumstances using laboratory techniques. In view of the aforementioned, the study developed several regression models, establishing the relationship between Ph and other selected soil physiochemical properties, to predict the values of the these selected properties in the polluted soils. The study took place in three sampling pedons A, B and C using the technique of stratified random sapling for sample collection. Pedon A is the background or the control unit, pedon B or the discharge point is the cassava mill effluent (CME) receiving unit and pedon C is the down stream, 500m away from pedon B. the result showed high values of soil physiochemical properties(mainly the heavy metals) at pedon B and the trend reduced away from pedon B and lowest in pedon A. In terms of pedons the heavy metal concentrations took this trend; pedon B>pedon C>pedonA. pH relationship with heavy metals in pedons A and B showed positive linear relationships with their coefficient of linearity(R2) ranging between 0.70-0.92 while other soil physiochemical properties obeyed polynomial relationships at reasonably high coefficient of fitness. Polynomial models fitted the pH relationships virtually in all the selected physiochemical properties of pedon C. The models have provided quick assessment of these physiochemical materials by mere determining the pH value and substituting the pH values into the models to predicting other properties.enAttribution-NonCommercial-ShareAlike 4.0 InternationalRegression modelsCassavaeffluentpollutionPedonsSoilPhysiochemicalPropertiesHeavy metalsDepartment of Environmental EngineeringArticle