Modelling the ex situ bioremediation of diesel-contaminated soil in a slurry bioreactor using a hydrocarbon-degrading inoculant
Autor: | Panagiotis Gkorezis, Juan J. Casares, María Balseiro-Romero, Petra Kidd, Jaco Vangronsveld, Thelmo A. Lú-Chau, C. Monterroso |
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Rok vydání: | 2019 |
Předmět: |
Environmental Engineering
0208 environmental biotechnology 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences complex mixtures Diesel fuel Soil Bioremediation Bioreactors Bioreactor Soil Pollutants Waste Management and Disposal Microbial inoculant Soil Microbiology 0105 earth and related environmental sciences Volatilisation technology industry and agriculture General Medicine Biodegradation Pulp and paper industry Soil contamination Hydrocarbons 020801 environmental engineering Biodegradation Environmental Slurry Environmental science Gasoline |
Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
Popis: | 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. |
Databáze: | OpenAIRE |
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