Lutes Chris, Holton Chase, Schumacher Brian, Zimmerman John, Kondash Andrew, Truesdale Robert
Jacobs, Raleigh, NC.
Geosyntec Consultants Inc., Denver, CO.
Ground Water Monit Remediat. 2021 May 21;41(2):99-111. doi: 10.1111/gwmr.12452.
Temporal and spatial variability of indoor air volatile organic compound (VOC) concentrations can complicate vapor intrusion (VI) assessment and decision-making. Indicators and tracers (I&T) of VI, such as differential temperature, differential pressure, and indoor radon concentration, are low-cost lines of evidence to support sampling scheduling and interpretation of indoor air VOC sampling results. This study compares peak indoor air chlorinated VOC concentrations and I&T conditions before and during those peak events at five VI sites. The sites differ geographically and in their VI conceptual site models (CSM). Relative to site-specific baseline values, the results show that cold or falling outdoor temperatures, rising cross slab differential pressures, and increasing indoor radon concentrations can predict peak VOC concentrations. However, cold outdoor air temperature was not useful at one site where elevated shallow soil temperature was a better predictor. Correlations of peak VOC concentrations to elevated or rising barometric pressure and low wind speed were also observed with some exceptions. This study shows how the independent variables that control or predict peak indoor air VOC concentrations are specific to building types, climates, and VI CSMs. More I&T measurements at VI sites are needed to identify scenario-specific baseline and peak related I&T conditions to improve decision-making.
室内空气中挥发性有机化合物(VOC)浓度的时空变异性会使蒸汽侵入(VI)评估和决策变得复杂。VI的指标和示踪剂(I&T),如温差、压差和室内氡浓度,是支持采样计划制定和室内空气VOC采样结果解读的低成本证据。本研究比较了五个VI场地在峰值事件之前和期间的室内空气中氯化VOC峰值浓度以及I&T条件。这些场地在地理位置和VI概念场地模型(CSM)方面存在差异。相对于特定场地的基线值,结果表明,室外温度寒冷或下降、跨楼板压差上升以及室内氡浓度增加可以预测VOC峰值浓度。然而,在一个场地,寒冷的室外气温并无作用,而浅层土壤温度升高则是更好的预测指标。在某些情况下,还观察到VOC峰值浓度与气压升高或上升以及低风速之间的相关性。本研究表明,控制或预测室内空气VOC峰值浓度的自变量因建筑类型、气候和VI CSM而异。需要在VI场地进行更多的I&T测量,以确定特定场景的基线和与峰值相关的I&T条件,从而改善决策。