STATISTICAL EVALUATION OF BIOREMEDIATION OF PETROLEUM-CONTAMINATED SITES BY BACTERIA AND PLANTS
The research utilized a consortia of oil-degrading bacteria commonly found in petroleum-contaminated soils, along with three species of plants alfalfa, mustard and tall fescue in various combinations, to evaluate their potential in cleaning up petroleum contamination. Four different soil types silt, silt loam, loam and sandy loam were utilized in the lab-scale experiment. The experiments were conducted according to a full factorial design with three factors (PLANT with 3 levels, SOIL with 4 levels, BACTERIAL ACTIVITY with 2 levels). The Analysis of Variance (ANOVA) was used to perform the statistical analyses of the data.
The contamination degradation reactions followed a second-degree equation pattern. The statistical analyses of data showed presence of strong statistical significance between the soil-plant interaction, plant-bacteria interaction and also between soil-bacteria interaction. It was also observed that individually tall fescue and alfalfa in association with a consortium of pre-isolated oil-degrading bacteria were most effective in remediating contaminated silt-loam soil.