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

被引:11
|
作者
Balseiro-Romero, Maria [1 ,2 ]
Monterroso, Carmen [3 ]
Kidd, Petra S. [4 ]
Lu-Chau, Thelmo A. [1 ]
Gkorezis, Panagiotis [5 ]
Vangronsveld, Jaco [5 ]
Casares, Juan J. [6 ]
机构
[1] Univ Santiago de Compostela, Inst Technol, Dept Chem Engn, Santiago De Compostela 15782, Spain
[2] Univ Paris Saclay, AgroParisTech, UMR ECOSYS, Ave Lucien Bretignieres, F-78850 Thiverval Grignon, France
[3] Univ Santiago de Compostela, Fac Biol, Dept Soil Sci & Agr Chem, Santiago De Compostela 15782, Spain
[4] CSIC, IIAG, Santiago De Compostela 15705, Spain
[5] Univ Hasselt, Ctr Environm Sci, BE-3590 Diepenbeek, Belgium
[6] Univ Santiago de Compostela, Sch Engn, Dept Chem Engn, Santiago De Compostela 15782, Spain
关键词
Bio-slurry reactor; ex situ bioremediation; Diesel-contaminated soil; Sigmoid desorption kinetics; Monod biodegradation kinetics; PETROLEUM-HYDROCARBONS; CRUDE-OIL; PHASE; BIODEGRADATION; BIOAUGMENTATION; REMEDIATION; EXTRACTION; KINETICS; REMOVAL; GROWTH;
D O I
10.1016/j.jenvman.2019.06.034
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:840 / 848
页数:9
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