Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA.
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA.
Sci Total Environ. 2021 Feb 25;757:143793. doi: 10.1016/j.scitotenv.2020.143793. Epub 2020 Nov 24.
Due to their health effects and the recalcitrant nature of their CF bonds, Poly- and Perfluoroalkyl Substances (PFAS) are widely investigated for their distribution, remediation, and toxicology in ecosystems. However, very few studies have focused on modeling PFAS in the soil-water environment. In this review, we summarized the recent development in PFAS modeling for various chemical, physical, and biological processes, including sorption, volatilization, degradation, bioaccumulation, and transport. PFAS sorption is kinetic in nature with sorption equilibrium commonly quantified by either a linear, the Freundlich, or the Langmuir isotherms. Volatilization of PFAS depends on carbon chain length and ionization status and has been simulated by a two-layer diffusion process across the air water interface. First-order kinetics is commonly used for physical, chemical, and biological degradation processes. Uptake by plants and other biota can be passive and/or active. As surfactants, PFAS have a tendency to be sorbed or concentrated on air-water or non-aqueous phase liquid (NAPL)-water interfaces, where the same three isotherms for soil sorption are adopted. PFAS transport in the soil-water environment is simulated by solving the convection-dispersion equation (CDE) that is coupled to PFAS sorption, phase transfer, as well as physical, chemical, and biological transformations. As the physicochemical properties and concentration vary greatly among the potentially thousands of PFAS species in the environment, systematic efforts are needed to identify models and model parameters to simulate their fate, transport, and response to remediation techniques. Since many process formulations are empirical in nature, mechanistic approaches are needed to further the understanding of PFAS-soil-water-plant interactions so that the model parameters are less site dependent and more predictive in simulating PFAS remediation efficiency.
由于多氟和全氟烷基物质 (PFAS) 对健康的影响及其碳氟键的顽固性质,它们在生态系统中的分布、修复和毒理学方面受到了广泛的研究。然而,很少有研究关注 PFAS 在土壤-水环境中的建模。在这篇综述中,我们总结了 PFAS 在各种化学、物理和生物过程中的建模的最新进展,包括吸附、挥发、降解、生物积累和迁移。PFAS 的吸附本质上是动力学的,吸附平衡通常通过线性、弗伦德利希或朗缪尔等温线来定量。PFAS 的挥发取决于碳链长度和电离状态,并通过穿过气-水界面的两层扩散过程来模拟。物理、化学和生物降解过程通常使用一级动力学。植物和其他生物群体会被动和/或主动吸收。作为表面活性剂,PFAS 有被吸附或浓缩在气-水或非水相液体 (NAPL)-水界面的趋势,在这些界面上采用了与土壤吸附相同的三种等温线。PFAS 在土壤-水环境中的迁移通过求解对流-弥散方程 (CDE) 来模拟,该方程与 PFAS 的吸附、相转移以及物理、化学和生物转化相耦合。由于环境中可能存在数千种 PFAS 物质,其物理化学性质和浓度差异很大,因此需要系统地努力确定模型和模型参数,以模拟它们的命运、迁移以及对修复技术的响应。由于许多过程公式具有经验性质,因此需要采用机械方法来进一步了解 PFAS-土壤-水-植物相互作用,以使模型参数较少依赖于地点,并且在模拟 PFAS 修复效率方面更具预测性。