Browsing by Author "Uzoije Atulegwu Patrick"

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    Distribution of cyanide in a cassava-mill-effluent polluted eutric tropofluvent soils of Ohaji Area, South-eastern Nigeria
    (Academic Journals, 2011) Uzoije Atulegwu Patrick; Nnamdi Egwuonwn; Onunkwo-A, Augustine
    This study investigates on the distribution of cyanide on a cassava- mill- effluent polluted eutric tropofluvent soil in Ohaji southern Nigeria. Three morphological land units were marked out namely, the background unit (pedon A), discharged point unit (pedon B) (the effluent receiving unit) and downstream unit (pedon C). Soil sample collection was carried out in five replicates in May 2007 adopting a randomized complete block design techniques. Soil samples were collected from each pedon at different soil profiles: 10 to15, 15 to 30, 30 to 70, 70 to 100 and 100 to 150 cm which were represented as L1, L2, L3, L4 and L5, respectively. Samples of the cassava mill effluent were also collected in five replicates. Standard laboratory methods were adopted for the analysis of both samples. It was observed from the results that cyanide distributed geospatially within the pedons. Furthermore, the results of the soil samples were subjected to correlation and regression analysis between Cn and other soil properties and the analysis showed highly positive significant variation(p = 0.05) in Na, Cd, pH, and clay in both pedons A and B while Pb, sand silt and porosity showed highly negative significance in both pedons. Most soil properties showed non significance in pedon C. Highcoefficients of regression for polynomial functions were recorded in most pedons.
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    Soil quality modeling of a highly acidic eutric - tropofluvent soil
    (IDOSI Publications, 2010) Uzoije Atulegwu Patrick
    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.