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Lagrangian simulation of multi-step and rate-limited chemical reactions in multi-dimensional porous media

Lagrangian simulation of multi-step and rate-limited chemical reactions in multi-dimensional porous media

作     者:Bing-qing Lu Yong Zhang Hong-guang Sun Chun-miao Zheng 

作者机构:Department of Geological Sciences University of Alabama College of Mechanics and Materials Hohai University School of Environmental Science and Engineering Southern University of Science and Technology 

出 版 物:《Water Science and Engineering》 (水科学与水工程(英文版))

年 卷 期:2018年第11卷第2期

页      面:101-113页

核心收录:

学科分类:08[工学] 0707[理学-海洋科学] 0815[工学-水利工程] 0813[工学-建筑学] 0824[工学-船舶与海洋工程] 0814[工学-土木工程] 

基  金:supported by the National Natural Science Foundation of China(Grants No.41330632 41628202 and 11572112) 

主  题:Lagrangian framework Chemical reaction Diffusion-limited process Multi-step reactions Interaction radius 

摘      要:Management of groundwater resources and remediation of groundwater pollution require reliable quantification of contaminant dynamics in natural aquifers, which can involve complex chemical dynamics and challenge traditional modeling approaches. The kinetics of chemical reactions in groundwater are well known to be controlled by medium heterogeneity and reactant mixing, motivating the development of particle-based Lagrangian approaches. Previous Lagrangian solvers have been limited to fundamental bimolecular reactions in typically one-dimensional porous media. In contrast to other existing studies, this study developed a fully Lagrangian framework, which was used to simulate diffusion-controlled, multi-step reactions in one-, two-, and three-dimensional porous media. The interaction radius of a reactant molecule, which controls the probability of reaction, was derived by the agent-based approach for both irreversible and reversible reactions. A flexible particle tracking scheme was then developed to build trajectories for particles undergoing mixing-limited, multi-step reactions. The simulated particle dynamics were checked against the kinetics for diffusion-controlled reactions and thermodynamic wellmixed reactions in one-and two-dimensional domains. Applicability of the novel simulator was further tested by(1) simulating precipitation of calcium carbonate minerals in a two-dimensional medium, and(2) quantifying multi-step chemical reactions observed in the laboratory. The flexibility of the Lagrangian simulator allows further refinement to capture complex transport affecting chemical mixing and hence reactions.

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