›› 2015, Vol. 36 ›› Issue (10): 3007-3014.doi: 10.16285/j.rsm.2015.10.035

• Numerical Analysis • Previous Articles     Next Articles

Numerical model for contaminant preferential migration based on flow net element

LIANG Yue1, 2, 3, WANG Jun-jie1, 3, LIU Ming-wei1, 3   

  1. 1. National Engineering Research Center for Inland Waterway Regulation, Chongqing Jiaotong University, Chongqing 400074, China; 2. Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing, Jiangsu 210098, China; 3. School of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2014-12-23 Online:2015-10-10 Published:2018-06-13

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Abstract: The contaminants, such as filtrate of waste landfill, intrusion seawater, nuclear waste, production sewage and living sewage, would threaten human survival when they migrate into groundwater system. Randomness of groundwater seepage makes the problem of solute transport more complicated. According to the characteristics of flow net, implicit difference scheme of the solution of unit solute concentration based on the principle of mass conservation with the stream tube element is solved by the streamline and equipotential lines. Based on the velocity distribution patterns of porous media, the Monte Carlo method is used to establish the flow rate field for simulating the process of migration of solute. The accuracy of the numerical simulation method is proved by the comparison of the simulation and model tests. In the numerical model the convection and diffusion have effect on the substance exchange along the direction of stream tube. However, only solute diffusion exists between stream tubes. In this model, the feasibility of dispersion coefficient and the limitation of feasibility are overcome. The method for determining flow rate with randomness can provide a new idea for research of advantage migration of contaminants in heterogeneous flow field.

Key words: preferential flow, solute transport, finite volume method, diffusion coefficient, flow net

CLC Number: 

  • X 523
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