Yang J W, Cho H J, Choi G Y, Lee S H
Department of Chemical Engineering, KAIST, Taejon, Korea.
Environ Monit Assess. 2001 Jul;70(1-2):201-10. doi: 10.1023/a:1010615715717.
In order to establish cost-effective monitoring strategies for soil vapor extraction (SVE), a simplified model for multi-component mass transfer of a complex liquid mixture in porous media and gas sensor are proposed and experimentally evaluated. The basic task for the cost-effective monitoring of SVE is to decide how to predict the performances of venting systems in terms of the contaminant vapor removal rate and the time required to accomplish the clean-up specification. The method includes classifying of individual components of a complex mixture on the basis of gas chromatographic (GC) profile and treating each resulting group as a pseudo-single compound. BTEX components of gasoline were selected for model input and the remainders were divided into 4 groups based on their GC retention times. The model proposed in this study is capable of predicting with accuracy volatilization behaviors of gasoline components in soil and the gas sensor (FIGARO TGS 823) was tested by GC-FID to toluene and TPH-GRO(Total Petroleum Hydrocarbon-Gasoline Range Organics) gas samples. A VOC gas sensor was developed which recognizes TPH-GRO concentrations between 250 and 50 ppm. The developed gas sensor test and proposed model can be used as a valuable tool for the cost-effective monitoring for SVE systems.
为了建立具有成本效益的土壤气相抽提（SVE）监测策略，提出了一种用于多孔介质中复杂液体混合物多组分传质的简化模型和气体传感器，并进行了实验评估。SVE成本效益监测的基本任务是确定如何根据污染物蒸汽去除率和达到清理标准所需的时间来预测通风系统的性能。该方法包括根据气相色谱（GC）谱对复杂混合物的各个成分进行分类，并将每个所得组视为一种伪单一化合物。选择汽油中的BTEX成分作为模型输入，其余成分根据其GC保留时间分为4组。本研究提出的模型能够准确预测土壤中汽油成分的挥发行为，并且通过GC-FID对气体传感器（费加罗TGS 823）进行了甲苯和TPH-GRO（总石油烃-汽油范围有机物）气体样品测试。开发了一种VOC气体传感器，可识别250至50 ppm之间的TPH-GRO浓度。所开发的气体传感器测试和所提出的模型可作为SVE系统成本效益监测的有价值工具。
