Optimization of nutrients requirements for bioremediation of spent-engine oil contaminated soils

Gabriel O. Ogbeh, Titus O. Tsokar, Emmanuel Salifu

Research output: Contribution to journalArticle

1 Citation (Scopus)
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Abstract

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
Original languageEnglish
Pages (from-to)484-494
Number of pages11
JournalEnvironmental Engineering Research
Volume24
Issue number3
DOIs
Publication statusPublished - 13 Nov 2018

Keywords

  • bioremediation
  • biostimulation
  • Box-Behnken-design
  • hydrocarbons-degrading microbes
  • regression models
  • spent-engine oil contaminated soil

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