Evaluation of CDE and MIM Models to Simulate TCE Transport in a Carbonate Porous Media

Document Type : Research Article

Authors

1 Ph.D. Student, Department of Water Engineering, Shahrekord University. Shahrekord. Iran

2 Department of Water Engineering, Shahrekord University, Shahrekod, Iran

Abstract

TCE (Trichloroethylene) is one of the common environmental pollutants in the world, where its application has caused the groundwater to be contaminated. For this reason, it is essential to simulate the transport of this pollutant, especially in industrial areas. In this research, an inverse-solution method has been employed to simulate the movement of TCE. To evaluate the inverse method, HYDRUS-1D (as a numerical solution) and STANMOD (as an analytical solution) software were used with two transport models including Convection-Dispersion Equation (CDE) and Mobile-Immobile model (MIM). For this study, a set of data from Yolcubal and Akyol (2011) were used at three TCE concentrations of 110, 113, and 1300 mg/L. The research was conducted on the loamy-sand and carbonate soil with a mean bulk density of 1.2 g/cm3. Experiments were carried out in columns with a length of 15 cm and 4.8 cm diameter in stainless steel in saturated conditions. TCE injection continued until the effluent concentration was equal to the injection concentration (C/C0=1). At different time steps, the water samples from the column ‘send were taken to determine the TCE concentration and the breakthrough curves (BTC). The results of Hydrus-1D and STANMOD software showed that the MIM model has a higher correlation coefficient in comparison with the CDE model concerning the match BTC. The highest amount of correlation coefficient was 0.97 at the concentration of 1300 mg/L with the inverse-analytical solution and MIM model. In the estimation of the dispersion coefficient (D), the minimum error was 0 and 3.5% at CDE and MIM models, respectively. The error value was maximum at the 113 mg/L concentration for adsorption isotherm (Kd) coefficients in the inverse numerical solution and the same result for retardation factor (R) in an inverse-analytical solution. It means that this concentration was higher at the two other TCE concentrations.

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References

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Amirkabir Journal of Civil Engineering
Volume 53, Issue 1
April 2021
Pages 383-394

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