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    芦伟, 李忠元, 杨洁, 刘勇弟, 李辉. 箱体实验验证Johnson&Ettinger蒸气入侵模型[J]. 华东理工大学学报(自然科学版), 2018, (3): 382-389. DOI: 10.14135/j.cnki.1006-3080.20070626001
    引用本文: 芦伟, 李忠元, 杨洁, 刘勇弟, 李辉. 箱体实验验证Johnson&Ettinger蒸气入侵模型[J]. 华东理工大学学报(自然科学版), 2018, (3): 382-389. DOI: 10.14135/j.cnki.1006-3080.20070626001
    LU Wei, LI Zhong-yuan, YANG Jie, LIU Yong-di, LI Hui. Experimental Validation of Johnson & Ettinger Vapor Intrusion Model with A Scale Model[J]. Journal of East China University of Science and Technology, 2018, (3): 382-389. DOI: 10.14135/j.cnki.1006-3080.20070626001
    Citation: LU Wei, LI Zhong-yuan, YANG Jie, LIU Yong-di, LI Hui. Experimental Validation of Johnson & Ettinger Vapor Intrusion Model with A Scale Model[J]. Journal of East China University of Science and Technology, 2018, (3): 382-389. DOI: 10.14135/j.cnki.1006-3080.20070626001

    箱体实验验证Johnson&Ettinger蒸气入侵模型

    Experimental Validation of Johnson & Ettinger Vapor Intrusion Model with A Scale Model

    • 摘要: Johnson&Ettinger (J&E)模型是应用广泛的蒸气入侵评估模型,为了验证其对氯代烃类污染物土壤蒸气浓度计算的准确性,构建了箱体模型,模拟1,1,1-三氯乙烷(1,1,1-TCA)蒸气入侵过程,用物理实验方法验证J&E模型评估的准确性及影响因素。结果表明,1,1,1-TCA蒸气迁移速率受土壤孔隙率影响最大,初始源浓度次之,污染源深度影响最小。污染源深度从10 cm加深至30 cm时,3种土壤的衰减因子(FV)分别降低15%、21%和26%;土壤孔隙率从54.5%增大至61.3%时,3种土壤的FV分别降低22%、27%和34%。对比分析J&E模型预测和实验结果发现,A'、B'、C'3种土壤的固气分配系数(αsg)相对偏差平均值分别为13.3%、10.6%和8.8%,迁移扩散系数β相对偏差范围在0.5%~24.2%。J&E模型更适用于污染源较浅、土壤孔隙率较大的污染场地。当污染源较深时,J&E模型的预测结果偏差较大。

       

      Abstract: The contaminated site poisoning incidents of volatile organic compounds (VOCs) occurred frequently. Many numerical simulation models have been established to calculate the risk of underground pollutants. Johnson & Ettinger model (J&E model) is the most widely used tool for evaluating vapor intrusion potential because of its simplicity and convenience. In this paper, a scale model was developed to simulate the process of 1,1,1-trichloroethane vapor intrusion, discuss the factors of vapor intrusion and validate the accuracy of J&E model. The purpose is to provide theoretical and technical support for pollution remediation of volatile chlorinated hydrocarbon contaminated sites. The obtained results indicate that the factor with the greatest impact on migration rate among the three ones in this paper is soil porosity, followed by the initial contaminant source concentration and the source depth. There is a relationship between the attenuation factor (FV) and the soil properties. When the soil porosity increases from 54.5% to 61.3%, FV values of three soils are decreased by 22%, 27% and 34%, respectively. When the source depth increases from 10 cm to 30 cm, FV values of three soils are decreased by 15%, 21% and 26%, respectively. Finally the results of the experiment with those from J&E model prediction was compared to validate the accuracy of the model. The relative errors of the partition coefficient (αsg) of soil A', B' and C' were 13.3%, 10.6% and 8.8% respectively, the relative errors of migration and attenuation coefficient (β) ranged between 0.5% and 24.2%. In terms of the accuracy of J&E model, it was more suitable for contaminated sites with relatively shallow pollution sources and large soil porosity. When the pollution source was deeper, the deviation of model prediction became larger no matter how the soil porosity changed.

       

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