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Modeling the bioremediation of a diesel-contaminated soil using an enriched hydrocarbon-degrading inoculant

机译:使用富含富含烃降解的含抗体植物模拟柴油污染土壤的生物修复

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A model was developed to simulate the bioremediation of a diesel-contaminated soil slurry in a mixed closed batch system, using an enriched diesel-degrading bacterial inoculant. Mass transfer processes of desorption of diesel from soil to water and volatilization from water, and biodegradation by bacterial inoculant were included in the model, using complex Weibull sigmoid, first-order, and logistic/Monod kinetics, respectively. Long-term model predictions indicated that, in the given conditions of biomass concentration, soil characteristics and diesel concentration, the contaminants could be practically eliminated from the system in less than 70 days. Sensitivity analysis of the model revealed the importance of maintaining a high biomass concentration in the system to improve bioremediation efficiency. Model was short-term validated with a biodegradation experiment for 360 h, during which near the 30% of diesel present in the system was eliminated. The developed model could be a useful tool to predict bioremediation efficiencies of different soil scenarios, by adapting the needed parameters to each system.
机译:开发了一种模型,用于模拟混合闭合批量系统中柴油污染的土壤浆料的生物修复,使用富含柴油降解的细菌孕制剂。将柴油从土壤中解吸的传质过程与水中的水和挥发,并在模型中包括细菌孕育剂的生物降解,分别使用复杂的Weibull Sigmoid,一阶和逻辑/单体动力学。长期模型预测表明,在给定的生物质浓度,土壤特性和柴油浓度的情况下,污染物可以在不到70天内从系统实际上消除。该模型的敏感性分析表明,在系统中保持高生物量浓度的重要性以提高生物化效率。模型短期验证,具有360小时的生物降解实验,在此期间消除了系统中存在的柴油的30%。通过将所需的参数适应每个系统,开发的模型可以是预测不同土壤情景的生物修复效率的有用工具。

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