Shirazi Elham, Pennell Kelly G
University of Kentucky, Department of Civil Engineering, Lexington, KY 40506, USA.
Environ Sci Process Impacts. 2017 Dec 13;19(12):1594-1607. doi: 10.1039/c7em00423k.
Vapor intrusion (IV) exposure risks are difficult to characterize due to the role of atmospheric, building and subsurface processes. This study presents a three-dimensional VI model that extends the common subsurface fate and transport equations to incorporate wind and stack effects on indoor air pressure, building air exchange rate (AER) and indoor contaminant concentration to improve VI exposure risk estimates. The model incorporates three modeling programs: (1) COMSOL Multiphysics to model subsurface fate and transport processes, (2) CFD0 to model atmospheric air flow around the building, and (3) CONTAM to model indoor air quality. The combined VI model predicts AER values, zonal indoor air pressures and zonal indoor air contaminant concentrations as a function of wind speed, wind direction and outdoor and indoor temperature. Steady state modeling results for a single-story building with a basement demonstrate that wind speed, wind direction and opening locations in a building play important roles in changing the AER, indoor air pressure, and indoor air contaminant concentration. Calculated indoor air pressures ranged from approximately -10 Pa to +4 Pa depending on weather conditions and building characteristics. AER values, mass entry rates and indoor air concentrations vary depending on weather conditions and building characteristics. The presented modeling approach can be used to investigate the relationship between building features, AER, building pressures, soil gas concentrations, indoor air concentrations and VI exposure risks.
由于大气、建筑物和地下过程的作用,蒸汽侵入(VI)暴露风险难以表征。本研究提出了一个三维VI模型,该模型扩展了常见的地下归宿和传输方程,以纳入风以及烟囱对室内气压、建筑物空气交换率(AER)和室内污染物浓度的影响,从而改进VI暴露风险估计。该模型包含三个建模程序:(1)COMSOL Multiphysics用于模拟地下归宿和传输过程;(2)CFD0用于模拟建筑物周围的大气气流;(3)CONTAM用于模拟室内空气质量。组合的VI模型预测AER值、区域室内气压和区域室内空气污染物浓度是风速、风向以及室外和室内温度的函数。对一座带地下室的单层建筑物的稳态建模结果表明,风速、风向和建筑物中的开口位置在改变AER、室内气压和室内空气污染物浓度方面起着重要作用。根据天气条件和建筑物特征,计算出的室内气压范围约为-10 Pa至+4 Pa。AER值、质量进入率和室内空气浓度会因天气条件和建筑物特征而有所不同。所提出的建模方法可用于研究建筑物特征、AER、建筑物压力、土壤气体浓度、室内空气浓度与VI暴露风险之间的关系。