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| Upscaling of reactive transport modeling for surfactant-enhanced aquifer remediation |
| CHEN Meng-jia1, WU Jian-feng1, SONG Jian1, SUN Xiao-min2, LIN Jin2, WU Ji-chun1 |
1. Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China;
2. Nanjing Hydraulic Research Institute, Nanjing 210029, China |
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Abstract In order to find an appropriate permeability upscaling method which can greatly improve the computational efficiency of surfactant-enhanced aquifer remediation (SEAR) model while ensuring the accuracy of the simulation, two coarse-scale models based on Laplacian with skin method and the arithmetic mean upscaling method were applied in this study, and their performance was also compared with fine-scale models. The results indicated that the maximum calculation error of the residual mass of aquifer pollutants by the model based on Laplacian with skin was better than the model built by the arithmetic mean upscaling method in all cases. The superiority of Laplacian with skin became more significant when the aquifer heterogeneity was stronger. In addition, Laplacian with skin achieved a better simulation effect on the centroid location and the shape of the pollutant. Particularly, the use of coarse-scale model can greatly reduce the computational cost of SEAR, leading to the significant computational cost-savings, e.g., about 6.5% of the original runtime by using the arithmetic mean upscaling method and 4.5% by Laplacian with skin.
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Received: 21 May 2019
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