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二维虚拟土壤中溶质迁移行为的数值模拟研究
引用本文:陶亚奇,蒋新,卞永荣,杨兴伦,王芳.二维虚拟土壤中溶质迁移行为的数值模拟研究[J].土壤学报,2009,46(6):991-997.
作者姓名:陶亚奇  蒋新  卞永荣  杨兴伦  王芳
作者单位:1. 土壤与农业可持续发展国家重点实验室(中国科学院南京土壤研究所),南京,210008;南京农业大学理学院,南京,210095
2. 土壤与农业可持续发展国家重点实验室(中国科学院南京土壤研究所),南京,210008
基金项目:国家自然科学基金项目,中国科学院海外合作伙伴计划项目 
摘    要:利用Voronoi图逐级碎裂方法,在二维正方网格上构造出不同等级的虚拟土壤来仿真具有丰富孔隙结构的真实土壤,并借助于随机行走模型,数值模拟了溶质粒子在该虚拟土壤中的迁移行为。结果表明,溶质粒子表现出反常扩散行为。对有偏倚的随机行走模型,其均方位移与时间呈正比关系∝tK,即扩散系数D=K-1,长时间的K值更大,溶质粒子扩散更快;首次穿越时间满足正态对数分布,说明溶质粒子迁移是一阶随机过程;由连续时间随机行走理论,发现溶质粒子扩散非费克现象明显。同时发现不同的土壤孔隙结构及随机行走类型所对应的拟合参数不同,即它们也影响溶质粒子的迁移行为。该研究有利于人们从理论上定性理解和预测水及溶质在有大孔隙土壤中的迁移,保护地下水环境。

关 键 词:Voronoi图  随机行走  迁移
收稿时间:2009/1/15 0:00:00
修稿时间:2009/5/15 0:00:00

Numerical simulation of solute transports in two dimensional virtual soil
tao yaqi,Jiang Xin,Bian Yongrong,Yang Xinglun and Wang Fang.Numerical simulation of solute transports in two dimensional virtual soil[J].Acta Pedologica Sinica,2009,46(6):991-997.
Authors:tao yaqi  Jiang Xin  Bian Yongrong  Yang Xinglun and Wang Fang
Institution:State Key Laboratory of Soil and Sustainable Agriculture,Insititute of Soil Science, Chinese Academy of Sciences; College of Science, Nanjing Agricultural University,State Key Laboratory of Soil and Sustainable Agriculture,Insititute of Soil Science, Chinese Academy of Sciences,State Key Laboratory of Soil and Sustainable Agriculture,Insititute of Soil Science, Chinese Academy of Sciences,State Key Laboratory of Soil and Sustainable Agriculture,Insititute of Soil Science, Chinese Academy of Sciences and State Key Laboratory of Soil and Sustainable Agriculture,Insititute of Soil Science, Chinese Academy of Sciences
Abstract:Virtual soils, rich in macropore, but different in level, were constructed with the aid of the Voronoi tesselation algorithm on two dimensional lattices and transport behaviors of solute particles therein numerically simulated using random walk models. It was found that the solute diffusion was anomalous and its mean square of displacement was positively correlated with time, being <(r→)~2(t)>∝t~K. Values of K depended on the types of soils and the types of random walk models. With biased random walk models, the values increased with the time, which means the particles diffused faster with the time went on. The first passage time of solute transport satisfied the logarithmic normal distribution. Non-fick effect of the diffusion was obvious with the continuous time random walk theory. And it was found that soils different in por structure would have different corresponding fitting parameters with the random walk models, that is to say, they also affected the transport behaviors of solute particles. The findings of the study are found to be helpful to researchers in understanding and predicting behaviors of water and solutes in macroporous soil, and hence in helping protect the underground water environment.
Keywords:Voronoi  Random walk  Transport
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