Using a Bayesian approach to improve and calibrate a dynamic model of polycyclic aromatic hydrocarbons degradation in an industrial contaminated soil
文献类型：SCI/SSCI论文
| 作者 | Brimo K.; Garnier, P.; Sun, S.; Bertrand-Krajewski, J. L.; Cebron, A.; Ouvrard, S. |
| 发表日期 | 2016 |
| 关键词 | DREAM PAH reactivity Biodegradation pathways Global sensitivity analysis bacterial cultures organic-compounds phenanthrene sorption rates water bioavailability biodegradation decomposition growth |
| 英文摘要 | A novel kinetics model that describes the dynamics of polycyclic aromatic hydrocarbons (PAHs) in contaminated soils is presented. The model includes two typical biodegradation pathways: the co-metabolic pathway using pseudo first order kinetics and the specific biodegradation pathway modeled using Monod kinetics. The sorption of PAHs to the solid soil occurs through bi-phasic fist order kinetics, and two types of non-extractible bounded residues are considered: the biogenic and the physically sequestrated into soil matrix. The PAH model was developed in Matlab, parameterized and tested successfully on batch experimental data using a Bayesian approach (DREAM). Preliminary results led to significant model simplifications. They also highlighted that the specific biodegradation pathway was the most efficient at explaining experimental data, as would be expected for an old industrial contaminated soil. Global analysis of sensitivity showed that the amount of PAHs ultimately degraded was mostly governed by physicochemical interactions rather than by biological activity. (C) 2016 Elsevier Ltd. All rights reserved. |
| 出处 | Environmental Pollution |
| 卷 | 215 |
| 页 | 27-37 |
| 语种 | 英语 |
| ISSN号 | 0269-7491 |
| DOI标识 | 10.1016/j.envpol.2016.04.094 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/42865]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Brimo K.,Garnier, P.,Sun, S.,et al. Using a Bayesian approach to improve and calibrate a dynamic model of polycyclic aromatic hydrocarbons degradation in an industrial contaminated soil. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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