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Oxygen Transport From the Atmosphere to Soil Gas Beneath a Slab-on-Grade Foundation Overlying Petroleum-Impacted Soil

机译:氧气从大气到土壤气体在覆盖有石油的土壤之上的平板台阶基础上的迁移

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Modeling and field study results suggest that, in the case of a building overlying an aerobically biodegradable vapor source (i.e., petroleum-impacted soil), the significance of vapor intrusion into the building depends on the source vapor concentration, the relative position of the vapor source and building, and the rate of O_2 transport from the atmosphere to the soil gas beneath the building. This work quantified the latter at a house having about a 250 m~2 slab-on-grade foundation footprint. It was constructed on 1.5 m of clean fill overlying a petroleum hydrocarbon-impacted soil layer undergoing methanogenesis. Soil gas O_2 and CH_4 profiles adjacent to and beneath the foundation were measured and then the soil gas beneath the slab was rapidly displaced with N_2. The natural replenishment of O_2 was monitored for 90 days using in situ O_2 sensors, and the responses with time were similar, independent of location. The O_2 replenishment rate was about 2500 g-O_2/d immediately after the N_2 flood and then it declined to 200-500 g-O_2/d over 30 days. Weather events affected the O_2 replenishment rate; an increase occurred during a strong wind period (>3 m/s), and a decrease occurred during a heavy rainfall event. The spatial and temporal patterns in the O_2 sensor responses and quantified O_2 replenishment rates could not be accounted for by simple mechanistic hypotheses involving lateral diffusion or advection through the bulk soil, and instead the data suggest rapid replenishment immediately below the foundation followed by downward diffusion.
机译:建模和现场研究结果表明,在建筑物上覆盖有氧可生物降解的蒸气源(即受石油影响的土壤)的情况下,蒸气侵入建筑物的重要性取决于源蒸气浓度,蒸气的相对位置源和建筑物,以及O_2从大气向建筑物下方的土壤气体的传输速率。这项工作在一个约250 m〜2的平板级基础占地面积的房屋中对后者进行了量化。它是在1.5 m的干净填充物上建造的,该填充物覆盖了受到甲烷生成作用的石油烃影响的土壤层。测量邻近地基和地下的土壤气O_2和CH_4剖面,然后用N_2快速置换板下方的土壤气。使用原位O_2传感器对O_2的自然补给进行了90天的监测,其随时间的响应是相似的,与位置无关。 N_2注入后,O_2的补给率约为2500 g-O_2 / d,然后在30天内降至200-500 g-O_2 / d。天气事件影响了O_2的补给率;在强风时期(> 3 m / s)发生增加,而在强降雨期间发生减少。 O_2传感器响应和定量O_2补给率的时空分布无法通过简单的机械假设来解释,这些假设涉及横向扩散或通过大块土壤的平流,而是数据表明在地基以下立即快速补给,然后向下扩散。

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