Volume 42 Issue 4
Jul.  2023
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Hu Litang, Tian Lei, Wang Dong, Huang Shiqi. Numerical simulation studies on monitored natural attenuation of phenol in aquifers considering the biodegradation effect[J]. Bulletin of Geological Science and Technology, 2023, 42(4): 37-46. doi: 10.19509/j.cnki.dzkq.tb20230168
Citation: Hu Litang, Tian Lei, Wang Dong, Huang Shiqi. Numerical simulation studies on monitored natural attenuation of phenol in aquifers considering the biodegradation effect[J]. Bulletin of Geological Science and Technology, 2023, 42(4): 37-46. doi: 10.19509/j.cnki.dzkq.tb20230168

Numerical simulation studies on monitored natural attenuation of phenol in aquifers considering the biodegradation effect

doi: 10.19509/j.cnki.dzkq.tb20230168
  • Received Date: 26 Mar 2023
  • Accepted Date: 13 Jun 2023
  • Rev Recd Date: 08 May 2023
  • Objective

    Monitoring natural attenuation (MNA) is a widely used, economical and effective remediation technique for soil and groundwater contamination. The migration of nonaqueous phase liquid (NAPL) in heterogeneous strata is an important element in the assessment for the efficiency of MNA.

    Methods

    Based on three consecutive years of dynamic groundwater quality monitoring data, the purpose of this study is to accurately characterize the biodegradation processes of multiphase fluids at a typical phenol contaminated site in northern China. A multiphase flow numerical model of phenol transport considering Monod biodegradation processes based on TOUGH3/TMVOCBio software was developed and applied. The model depicted the spatial distribution and temporal variation of phenol under the current conditions well and analysed the sensitivities of the adsorption and biodegradation parameters. The paper also discussed the removal contributions of dissolution, volatilization, adsorption and biodegradation effects under uncertainty of adsorption and microbial degradation parameters and predicted two different natural attenuation scenarios for source disposal.

    Results

    The contribution of phenol removal varies over a range under the influence of parameter uncertainty, with 17.91% to 58.02% for biodegradation, and precipitation conditions affect the seasonal variation in phenol concentrations. In the future 20 years, under the conditions with complete removal of the phenol source and the present leakage model, the total mass removal rate of phenol will arrive at 98% and 80% at the end of the 20th year, respectively.

    Conclusion

    This paper identifies the biodegradation parameters with high sensitivity in the multiphase flow model, which provides a reference for the numerical simulation of the organic matter biodegradation process at petrochemical sites and can also provide a theoretical basis for the application of MNA technology in China.

     

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