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Modelling the ex situ bioremediation of diesel-contaminated soil in a slurry bioreactor using a hydrocarbon-degrading inoculant

机译:使用降解烃的孕育剂模拟淤浆生物反应器中柴油污染土壤的异位生物修复

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摘要

Bioremediation is a soil clean-up technique which exploits the metabolic capacity of microorganisms to degrade soil contaminants. A model was developed to simulate the ex situ bioremediation of a diesel-contaminated soil in a bio-slurry reactor inoculated with a diesel-degrading bacterial strain. Mass transfer processes involving desorption of diesel from soil to water and volatilization of diesel from water, and biodegradation by the bacterial inoculant were included in the model by using Weibull sigmoid kinetics and logistic/Monod kinetics respectively. Model parameters were estimated in batch-based abiotic and biodegradation experiments. Sensitivity analysis revealed the importance of maintaining a high bacterial density in the system for maximum bioremediation efficiency. The model was validated using a pilot bioreactor monitored for 528 h, which removed almost 90% of the diesel present in the system. The results revealed the capacity of the model to predict the bioremediation efficiency under different scenarios by adapting the input parameters to each system.
机译:生物修复是一种土壤净化技术,它利用微生物的代谢能力降解土壤污染物。开发了一个模型来模拟在接种了降解柴油的细菌的生物泥浆反应器中对被柴油污染的土壤进行异位生物修复的方法。该模型分别包括Weibull乙状结肠动力学和logistic / Monod动力学,包括传质过程,包括土壤中柴油的解吸和水中柴油的挥发以及细菌接种剂的生物降解。在基于批次的非生物和生物降解实验中估算了模型参数。敏感性分析表明,为了最大程度地提高生物修复效率,必须在系统中保持高细菌密度。使用中试生物反应器监测528小时验证了模型,该反应器去除了系统中几乎90%的柴油。结果表明,该模型具有通过适应每个系统的输入参数来预测不同情况下生物修复效率的能力。

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