Korea-CO2 Storage Environmental Management (K-COSEM) Research Center, Korea University, Seoul, 02841, South Korea.
Korea Environment Institute, Sejong, 30147, South Korea.
Environ Sci Pollut Res Int. 2017 Nov;24(32):24816-24843. doi: 10.1007/s11356-017-0106-z. Epub 2017 Sep 15.
Fate and transport of 72 chemicals in soil and groundwater were assessed by using a multiphase compositional model (CompFlow Bio) because some of the chemicals are non-aqueous phase liquids or solids in the original form. One metric ton of chemicals were assumed to leak in a stylized facility. Scenarios of both surface spills and subsurface leaks were considered. Simulation results showed that the fate and transport of chemicals above the water table affected the fate and transport of chemicals below the water table, and vice versa. Surface spill scenarios caused much less concentrations than subsurface leak scenarios because leaching amounts into the subsurface environment were small (at most 6% of the 1 t spill for methylamine). Then, simulation results were applied to assess point-source pollutant loadings to soil and groundwater above and below the water table, respectively, by multiplying concentrations, impact areas, and durations. These three components correspond to the intensity of contamination, mobility, and persistency in the assessment of pollutant loading, respectively. Assessment results showed that the pollutant loadings in soil and groundwater were linearly related (r = 0.64). The pollutant loadings were negatively related with zero-order and first-order decay rates in both soil (r = - 0.5 and - 0.6, respectively) and groundwater (- 1.0 and - 0.8, respectively). In addition, this study scientifically defended that the soil partitioning coefficient (K ) significantly affected the pollutant loadings in soil (r = 0.6) and the maximum masses in groundwater (r = - 0.9). However, K was not a representative factor for chemical transportability unlike the expectation in chemical ranking systems of soil and groundwater pollutants. The pollutant loadings estimated using a physics-based hydrogeological model provided a more rational ranking for exposure assessment, compared to the summation of persistency and transportability scores in the chemical ranking systems. In the surface spill scenario, the pollutant loadings were zeros for all chemicals, except methylamine to soil whose pollutant loading was smaller than that in the subsurface leak scenario by 4 orders of magnitude. The maximum mass and the average mass multiplied by duration in soil greatly depended on leaching fluxes (r = 1.0 and 0.9, respectively), while the effect of leaching fluxes diminished below the water table. The contribution of this work is that a physics-based numerical model was used to quantitatively compare the subsurface pollutant loading in a chemical accident for 72 chemical substances, which can scientifically defend a simpler and more qualitative assessment of pollutant loadings. Besides, this study assessed pollutant loadings to soil (unsaturated zone) and groundwater (saturated zone) all together and discussed their interactions.
采用多相组合模型(CompFlow Bio)评估了 72 种化学物质在土壤和地下水中的命运和迁移,因为有些化学物质在原始形式下是非水相液体或固体。假设 1 吨化学物质在一个理想化的设施中泄漏。考虑了地表溢出和地下泄漏两种情况。模拟结果表明,地下水位以上的化学物质的命运和迁移会影响地下水位以下的化学物质的命运和迁移,反之亦然。地表溢出情景造成的浓度远低于地下泄漏情景,因为进入地下环境的浸出量很小(对于甲胺,最多为 1 吨泄漏的 6%)。然后,通过将浓度、影响面积和持续时间相乘,将模拟结果应用于评估地下水位以上和以下土壤和地下水中的点源污染物负荷。这三个组成部分分别对应于污染物负荷评估中的污染强度、迁移性和持久性。评估结果表明,土壤和地下水中的污染物负荷呈线性相关(r=0.64)。污染物负荷与土壤中的零阶和一阶衰减速率呈负相关(r=-0.5 和-0.6,分别)和地下水(-1.0 和-0.8,分别)。此外,本研究从科学上证明了土壤分配系数(Kd)显著影响土壤中的污染物负荷(r=0.6)和地下水中的最大质量(r=-0.9)。然而,与土壤和地下水中污染物化学分级系统中的预期不同,Kd 并不是化学迁移性的代表性因素。与化学分级系统中的持久性和迁移性得分之和相比,基于物理的水文地质模型估算的污染物负荷为暴露评估提供了更合理的排序。在地表溢出情景下,除了土壤中甲胺的污染物负荷比地下泄漏情景小 4 个数量级外,所有化学物质的污染物负荷均为零。土壤中的最大质量和平均质量乘以持续时间主要取决于浸出通量(r=1.0 和 0.9,分别),而浸出通量的影响在地下水位以下减弱。这项工作的贡献在于,使用基于物理的数值模型定量比较了 72 种化学物质的化学事故中地下污染物的负荷,这可以从科学上支持更简单和更定性的污染物负荷评估。此外,本研究还评估了土壤(非饱和带)和地下水(饱和带)的污染物负荷,并讨论了它们的相互作用。