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A numerical model for estimating the removal of volatile organic compounds in laboratory-scale treatability tests for thermal treatment of NAPL-impacted soils.
Journal of Contaminant Hydrology ( IF 3.6 ) Pub Date : 2019-07-23 , DOI: 10.1016/j.jconhyd.2019.103526
Qianli Xie 1 , Kevin G Mumford 1 , Bernard H Kueper 1 , Chen Zhao 2
Affiliation  

Treatability tests can be carried out to assess the potential effectiveness of thermal treatment technologies under different site conditions and are important for specific technology selection and design. In order to reduce the costs for laboratory tests and expand the insights from previous treatability studies, a one-dimensional (1D) radial finite difference model was developed to simulate the removal of volatile organic compounds (VOCs) in laboratory thermal treatability tests. The processes considered in the model include heat conduction, co-boiling of single-component or multi-component NAPLs with water, and water boiling. An explicit approach is used to simulate the evolution of NAPL composition for multi-component NAPLs during heating. The developed model adopts only two fitting parameters and was calibrated and validated using previous laboratory experiments. In this paper, the developed model was first calibrated to three laboratory experiments using temperature measurements, which resulted in matches to the NAPL and gas saturations. After calibration, the model was able to predict the temperature, NAPL and gas saturations for the remaining seven experiments, including those with single and multi-component NAPLs, using the average value of each fitting parameter.



中文翻译:

在实验室规模可处理性测试中对NAPL污染土壤进行热处理的过程中,估计挥发性有机化合物的去除量的数值模型。

可以进行可处理性测试,以评估不同现场条件下热处理技术的潜在有效性,这对于特定技术的选择和设计很重要。为了减少实验室测试的成本并扩展以前的可治疗性研究的见识,开发了一个一维(1D)径向有限差分模型,以模拟实验室热可治疗性测试中挥发性有机化合物(VOC)的去除。模型中考虑的过程包括热传导,单组分或多组分NAPL与水的共沸以及水的沸腾。显式方法用于模拟加热过程中多组分NAPL的NAPL组成演变。开发的模型仅采用两个拟合参数,并使用先前的实验室实验进行了校准和验证。在本文中,首先使用温度测量将开发的模型校准为三个实验室实验,从而与NAPL和气体饱和度相匹配。校准后,该模型能够使用每个拟合参数的平均值来预测其余七个实验的温度,NAPL和气体饱和度,包括具有单组分和多组分NAPL的那些。

更新日期:2019-07-23
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