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Theoretical assessment of influential factors and application in chlorinated hydrocarbon detection with membrane interface probe.
Zhao, Zening; Wu, Meng; Cai, Guojun; Duan, Wei; Puppala, Anand J.
Affiliation
  • Zhao Z; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China; Institute of Geotechnical Engineering, Southeast University, Nanjing 211189, China.
  • Wu M; Institute of Geotechnical Engineering, Southeast University, Nanjing 211189, China; School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China.
  • Cai G; Institute of Geotechnical Engineering, Southeast University, Nanjing 211189, China; School of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China. Electronic address: focuscai@163.com.
  • Duan W; College of Civil Engineering, Taiyuan University of Technology, Taiyuan 030024, China. Electronic address: zbdxdw@163.com.
  • Puppala AJ; Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843-3136, USA.
J Hazard Mater ; 472: 134481, 2024 Jul 05.
Article in En | MEDLINE | ID: mdl-38723483
ABSTRACT
The membrane interface probe (MIP) is an efficient and economical in-situ tool for chlorinated hydrocarbon (CH) contaminated site investigation. Given that the interpretation of MIP test is currently limited to a qualitative level, a theoretical model considering multiphase flow and multifield coupling is firstly proposed to simulate MIP test process. This model can consider phase change, membrane effect, adsorption and dissolution of the CH liquid, gas diffusion, and evaporation. Then, the model is used to study the changes in soil temperature and soil CH concentration during MIP test, as well as the influences of soil CH concentration and soil properties (initial water saturation, soil intrinsic permeability, and thermal properties) on MIP response. Finally, a simplified MIP interpretation model is developed based on parametric analysis results and verified against field and laboratory test data. It is found that the soil CH concentration, rather than soil properties, dominates the MIP response. The simplified interpretation model can deliver practical prediction of the CH concentration through the detected results by MIP, which may improve the applicability of MIP.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Hazard Mater Journal subject: SAUDE AMBIENTAL Year: 2024 Document type: Article Affiliation country: China