Department of Civil Engineering, University of Kentucky, Lexington, KY 40506, USA.
Department of Civil Engineering, University of Kentucky, Lexington, KY 40506, USA, Phone: +1 (859) 218-2540, Fax: +1 (859) 257-4404.
Rev Environ Health. 2019 Sep 25;34(3):245-250. doi: 10.1515/reveh-2019-0015.
Indoor air concentrations are susceptible to temporal and spatial variations and have long posed a challenge to characterize for vapor intrusion scientists, in part, because there was a lack of evidence to draw conclusions about the role that building and weather conditions played in altering vapor intrusion exposure risks. Importantly, a large body of evidence is available within the building science discipline that provides information to support vapor intrusion scientists in drawing connections about fate and transport processes that influence exposure risks. Modeling tools developed within the building sciences provide evidence of reported temporal and spatial variation of indoor air contaminant concentrations. In addition, these modeling tools can be useful by calculating building air exchange rates (AERs) using building specific features. Combining building science models with vapor intrusion models, new insight to facilitate decision-making by estimating indoor air concentrations and building ventilation conditions under various conditions can be gained. This review highlights existing building science research and summarizes the utility of building science models to improve vapor intrusion exposure risk assessments.
室内空气浓度易受时间和空间变化的影响，长期以来一直是蒸气侵入科学家难以描述的问题，部分原因是缺乏证据来得出关于建筑物和天气条件在改变蒸气侵入暴露风险方面所起作用的结论。重要的是，建筑科学领域有大量证据可以提供信息，支持蒸气侵入科学家建立有关影响暴露风险的归宿和传输过程的联系。建筑科学中开发的建模工具提供了有关室内空气污染物浓度的报告时间和空间变化的证据。此外，这些建模工具还可以通过使用特定于建筑物的特征来计算建筑物空气交换率 (AER) 而变得有用。将建筑科学模型与蒸气侵入模型相结合，可以通过估计各种条件下的室内空气浓度和建筑物通风条件，获得新的见解，从而有助于决策。本综述强调了现有的建筑科学研究，并总结了建筑科学模型在改进蒸气侵入暴露风险评估方面的应用。
