Department of Science and High Technology (DiSAT), University of Insubria, Via Valleggio 11, Como, Italy.
Department of Chemical Materials Environmental Engineering (DICMA), Sapienza University of Rome, Via Eudossiana 18, Rome, Italy.
Environ Pollut. 2018 Oct;241:1138-1145. doi: 10.1016/j.envpol.2018.06.039. Epub 2018 Jun 18.
Tools to predict environmental fate processes during remediation of persistent organic pollutants (POPs) in soil are desperately needed since they can elucidate the overall behavior of the chemical and help to improve the remediation process. A dynamic multimedia fate model (SoilPlusVeg) was further developed and improved to account for rhizoremediation processes. The resulting model was used to predict Polychlorinated Biphenyl (PCB) fate in a highly contaminated agricultural field (1089 ng/g d.w.) treated with tall fescue (Festuca arundinacea), a promising plant species for the remediation of contaminated soils. The model simulations allowed to calculate the rhizoremediation time (about 90 years), given the available rhizoremediation half-lives and the levels and fingerprints of the PCB congeners, to reach the legal threshold, to show the relevance of the loss processes from soil (in order of importance: degradation, infiltration, volatilization, etc.) and their dependence on meteorological and environmental dynamics (temperature, rainfall, DOC concentrations). The simulations showed that the effective persistence of PCBs in soil is deeply influenced by the seasonal variability. The model also allowed to evaluate the role of DOC as a possible enhancer of PCB degradation as a microorganism "spoon feeder" of PCBs in the soil solution. Additionally, we preliminary predicted how the contribution of PCB metabolites could modify the PCB fingerprint and their final total concentrations. This shows that the SoilPlusVeg model could be used in selecting the best choices for a sustainable rhizoremediation of a POP contaminated site.
在修复土壤中持久性有机污染物 (POPs) 时,急需能够阐明化学物质整体行为并有助于改进修复过程的环境归宿预测工具。本研究进一步开发和改进了一个动态多介质归宿模型(SoilPlusVeg)以考虑根际修复过程。该模型用于预测高度污染农田(1089ng/g d.w.)中多氯联苯(PCB)的归宿,该农田用羊茅草(Festuca arundinacea)进行修复,羊茅草是一种很有前景的修复污染土壤的植物。模型模拟计算了根际修复时间(约 90 年),考虑到可用的根际修复半衰期以及 PCB 同系物的水平和指纹,达到法定阈值,显示了土壤中损失过程的相关性(按重要性顺序:降解、渗透、挥发等)及其对气象和环境动态(温度、降雨量、DOC 浓度)的依赖性。模拟表明,PCBs 在土壤中的有效持久性深受季节性变化的影响。该模型还可以评估 DOC 作为 PCB 降解的可能增强剂的作用,DOC 是土壤溶液中 PCB 的微生物“勺子喂食器”。此外,我们初步预测了 PCB 代谢物的贡献如何改变 PCB 指纹及其最终总浓度。这表明 SoilPlusVeg 模型可用于选择 POP 污染场地可持续根际修复的最佳选择。