53 Environmental Geoscience
Monday, 28 October 2002
8:00 AM - 12:00 PM
STATISTICAL EVALUATION OF BIOREMEDIATION OF PETROLEUM-CONTAMINATED SITES BY BACTERIA AND PLANTS
Paper number: 53-6
Program: Technical Sessions
Time: 9:15 AM – 9:30 AM
Authors
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Syed E. HasanUniv Missouri - Kansas City, Kansas City, MO
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Ashok K. SinghUniv of Nevada, Las Vegas, NV
Abstract
The research utilized a consortia of oil-degrading bacteria commonly found in petroleum-contaminated soils, along with three species of plants β alfalfa, mustard and tall fescue βin various combinations, to evaluate their potential in cleaning up petroleum contamination. Four different soil types β silt, silt loam, loam and sandy loam β 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.