Bioremediation experiments and dynamic model of petroleum hydrocarbon contaminated soil,Journal of Environmental Management

当前位置： X-MOL 学术 › J. Environ. Manag. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Bioremediation experiments and dynamic model of petroleum hydrocarbon contaminated soil
Journal of Environmental Management ( IF 8.0 ) Pub Date : 2024-06-22 , DOI: 10.1016/j.jenvman.2024.121247
Tao Chen ₁ , Yafu Zhang ₁ , Yanli Dong ₁

Affiliation

Clarifying the occurrence and morphological characteristics of petroleum hydrocarbons (PHs) in soil can facilitate a comprehensive understanding of their migration and transformation patterns in soil/sediment. Additionally, by establishing the dynamic transformation process of each occurrence state, the ecological impact and environmental risk associated with PHs in soil/sediment can be assessed more precisely. The adsorption experiments and closed static incubation experiments was carried out to explore the PHs degradation and fraction distribution in aged contaminated soil under two remediation scenarios of natural attenuation (NA) and bioaugmentation (BA) by exogenous bacteria through a new sequential extraction method based on Tenax-TA, Hydroxypropyl-β-cyclodextrin and Rhamnolipid (HPCD/RL), accelerated solvent extractor (ASE) unit and alkaline hydrolysis extraction. The adsorption experiment results illustrated that bioaugmentation could promote the desorption of PHs in the adsorption phase, and the soil-water partition coefficient K decreased from 0.153 L/g to 0.092 L/g. The incubation experiment results showed that compared with natural attenuation, bioaugmentation could improve the utilization of PHs in aged soil and promote the generation of non-extractable hydrocarbons. On the 90th day of the experiment, the concentrations of weakly adsorbed hydrocarbons in the natural attenuation and bioaugmentation experimental groups decreased by 46.44% and 87.07%, respectively, while the concentrations of strongly adsorbed hydrocarbons and non-extractable hydrocarbons increased by 77.93%, 182.14%, and 80.91%, and 501.19%, respectively, compared their initial values. We developed a novel dynamic model and inverted the kinetic parameters of the model by the parameter scanning function and the Markov Chain Monte Carlo (MCMC) method based on the Bayesian approach in COMSOL Multiphysics® finite element software combined with experimental data. There was a good linear relationship between experimental interpolation data and model prediction data. The R for the concentrations of weakly adsorbed hydrocarbons ranged from 0.9953 to 0.9974, for strongly adsorbed hydrocarbons from 0.9063 to 0.9756, and for non-extractable hydrocarbons from 0.9931 to 0.9982. These extremely high correlation coefficients demonstrate the high accuracy of the parameters calculated using the Bayesian inversion method.

中文翻译：

石油烃污染土壤生物修复实验及动力学模型

阐明土壤中石油烃（PHs）的赋存和形态特征有助于全面了解其在土壤/沉积物中的迁移和转化模式。此外，通过建立每种发生状态的动态转化过程，可以更准确地评估与土壤/沉积物中PHs相关的生态影响和环境风险。通过基于Tenax的新型序贯提取方法，通过吸附实验和封闭静态培养实验，探讨外源细菌自然衰减（NA）和生物强化（BA）两种修复场景下老化污染土壤中PHs的降解和分数分布。 -TA、羟丙基-β-环糊精和鼠李糖脂 (HPCD/RL)、加速溶剂萃取器 (ASE) 装置和碱解萃取。吸附实验结果表明，生物强化可以促进吸附阶段PHs的解吸，土水分配系数K由0.153 L/g下降至0.092 L/g。孵化实验结果表明，与自然衰减相比，生物强化可以提高老化土壤中PHs的利用率，促进不可萃取碳氢化合物的生成。实验第90天，自然衰减和生物强化实验组弱吸附烃浓度分别下降46.44%和87.07%，强吸附烃和不可萃取烃浓度分别上升77.93%、182.14 %、80.91%和501.19%分别比较了它们的初始值。我们开发了一种新颖的动力学模型，并通过COMSOL Multiphysics®有限元软件中的参数扫描功能和基于贝叶斯方法的马尔可夫链蒙特卡罗（MCMC）方法结合实验数据反演了模型的动力学参数。实验插值数据与模型预测数据之间存在良好的线性关系。弱吸附烃浓度的 R 范围为 0.9953 至 0.9974，强吸附烃浓度为 0.9063 至 0.9756，不可萃取烃浓度为 0.9931 至 0.9982。这些极高的相关系数证明了使用贝叶斯反演方法计算的参数的高精度。

更新日期：2024-06-22

点击分享查看原文

点击收藏

阅读更多本刊新发论文本刊介绍/投稿指南