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DOI: https://doi.org/10.4491/eer.2018.237
Optimization of nutrients requirements for bioremediation of spent-engine oil contaminated soils
Gabriel O. Ogbeh1, Titus O. Tsokar1, and Emmanuel Salifu2
1Department of Agricultural and Environmental Engineering, Federal University of Agriculture, P.M.B. 2373 Makurdi, Nigeria
2Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow, UK
Corresponding Author: Gabriel O. Ogbeh ,Tel: +234-8038635582, Email: gabriel.ogbeh@uam.edu.ng, ogbehgabriel@gmail.com
Received: July 12, 2018;  Accepted: November 10, 2018.
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This paper presents a preliminary investigation of the optimum nutrients combination required for bioremediation of spent-engine oil contaminated soil using Box-Behnken-Design. Three levels of cow-manure, poultry-manure and inorganic nitrogen-phosphorus-potassium (NPK) fertilizer were used as independent biostimulants variables; while reduction in total petroleum hydrocarbon (TPH) and total soil porosity (TSP) response as dependent variables were monitored under 6-week incubation. Ex-situ data generated in assessing the degree of biodegradation in the soil were used to develop second-order quadratic regression models for both TPH and TSP. The two models were found to be highly significant and good predictors of the response fate of TPH-removal and TSP-improvement, as indicated by their coefficients of determination: R2 = 0.9982 and R2 = 1.000 at p ≤ 0.05, respectively. Validation of the models showed that there was no significant difference between the predicted and observed values of TPH-removal and TSP-improvement. Using numerical technique, the optimum values of the biostimulants required to achieve a predicted maximum TPH-removal and TSP-improvement of 67.20 and 53.42%-dry-weight per kg of the contaminated soil were as follows: cow-manure–125.0 g, poultry-manure–100.0 g and NPK-fertilizer–10.5 g. The observed values at this optimum point were 66.92 and 52.65%-dry-weight as TPH-removal and TSP-improvement, respectively.
Keywords: Bioremediation | Biostimulation | Box-Behnken Design | Hydrocarbons-degrading microbes | Regression models | Spent-engine oil contaminated soil
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