University of Kentucky, Department of Civil Engineering, Lexington, KY 40506, USA.
Environ Sci Process Impacts. 2020 Mar 1;22(3):802-811. doi: 10.1039/c9em00567f. Epub 2020 Mar 4.
There is a lack of vapor intrusion (VI) models that reliably account for weather conditions and building characteristics, especially at sites where active alternative pathways, such as sewer connections and other preferential pathways, are present. Here, a method is presented to incorporate freely-available models, CONTAM, and CFD0, to estimate site-specific building air exchange rates (AERs) and indoor air contaminant concentrations by accounting for weather conditions and building characteristics at a well-known VI site with a land drain preferential pathway. To account for uncertainty in model input parameters that influence indoor air chlorinated volatile organic compound (CVOC) concentration variability, this research incorporated Monte Carlo simulations and compared model results with retrospective field data collected over approximately 1.5 years from the study site. The results of this research show that mass entry rates for TCE are likely influenced by indoor air pressures that can be modeled as a function of weather conditions (over seasons) and building characteristics. In addition, the results suggest that temporal variability in indoor air TCE concentrations is greatest (modeled and measured) due to the existence of a land drain, which acts as a preferential pathway, from the subsurface to the granular fill beneath the floor slab. The field data and modeling results are in good agreement and provide a rare comparison of field data and modeling results for a VI site. The modeling approach presented here offers a useful tool for decision makers and VI practitioners as they assess these complex and variable processes that have not been incorporated within other VI models.
目前缺乏能够可靠考虑天气条件和建筑特征的蒸气入侵(VI)模型,尤其是在存在活跃的替代途径(如污水管连接和其他优先途径)的情况下。在这里,提出了一种方法,该方法将免费提供的模型 CONTAM 和 CFD0 结合使用,通过考虑具有土地排水优先途径的知名 VI 地点的天气条件和建筑特征,来估算特定地点的建筑物空气交换率(AER)和室内空气污染物浓度。为了考虑影响室内空气氯化挥发性有机化合物(CVOC)浓度变化的模型输入参数的不确定性,本研究进行了蒙特卡罗模拟,并将模型结果与从研究地点收集的大约 1.5 年的回溯性现场数据进行了比较。这项研究的结果表明,TCE 的质量进入率可能受到室内空气压力的影响,而室内空气压力可以作为天气条件(季节之间)和建筑特征的函数进行建模。此外,结果表明,由于从地下到地板下的粒状填充层存在土地排水优先途径,室内空气 TCE 浓度的时间变化最大(模型和测量)。现场数据和建模结果非常吻合,并为 VI 地点的现场数据和建模结果提供了罕见的比较。这里提出的建模方法为决策者和 VI 从业者提供了有用的工具,因为他们评估了尚未包含在其他 VI 模型中的这些复杂和可变的过程。