| 含水层渗透系数空间变异性对地下水数值模拟的影响 |
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| 引用本文： | 陈彦,吴吉春.含水层渗透系数空间变异性对地下水数值模拟的影响[J].水科学进展,2005,16(4):482-487. |
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| 作者姓名： | 陈彦 吴吉春 |
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| 作者单位： | 南京大学地球科学系, 江苏, 南京, 210093 |
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| 基金项目： | 国家自然科学基金资助项目(40272106)，博士点基金资助项目(20030284027)~~ |
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| 摘 要： | 地下水数值模拟是目前定量研究地下水水量和水质的重要手段。使用基于随机理论的MonteCarlo方法来进行地下水数值模拟。这种方法能较好地考虑水文地质参数的空间变异性。主要将MonteCarlo方法和确定性模型模拟方法的模拟结果在渗透系数场、水头场、速度场和浓度场等方面进行了比较。结果表明:在模拟三维非均质含水层中的溶质运移问题时,充分考虑了含水层渗透系数空间变异性的MonteCarlo法比确定性方法更为有效,模拟精度提高了很多,且对模拟误差及误差来源有合理的数学解释。
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| 关 键 词： | 随机理论 MonteCarlo模拟方法 空间变异性 地下水数值模拟 含水层 渗透系数 |
| 文章编号： | 1001-6791(2005)04-0482-06 |
| 收稿时间： | 2004-04-01 |
| 修稿时间： | 2004年4月1日 |
Effect of the spatial variability of hydraulic conductivity in aquifer on the numerical simulation of groundwater |
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| CHEN Yan,WU Ji-chun.Effect of the spatial variability of hydraulic conductivity in aquifer on the numerical simulation of groundwater[J].Advances in Water Science,2005,16(4):482-487. |
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| Authors: | CHEN Yan WU Ji-chun |
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| Affiliation: | Department of Earth Sciences, Nanjing University, Nanjing 210093, China |
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| Abstract: | Numerical simulation is a primary method for studying the flow and transport in porous media.It is rather important to specify the exact value of parameters, which can represent the real hydraulic feature during the numerical simulation of groundwater.As the porous media is a complex system, particularly when the studyied area is large-scale, the spatial variabili- ty of hydraulic parameters is especially significant.The traditional deterministic model has certain limitation in considering the spatial variability.This study performs the numerical simulation via the Monte Carlo method, which can take such spatial vari- ability into account to study how the spatial variability effects the numerical simulation.The monte Carlo simulation of flow and transport is used to compare with the deterministic model in three-dimensional heterogeneous media.And a series of compar- isons, such as the difference in hydraulic head, velocity and tracer concentration, show that the Monte Carlo simulation is more effective because it has a higher resolution and a good explanation to the simulation error and the source of such error. |
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| Keywords: | stochastic theory Monte Carlo simulation method spatial variability numerical simulation of groundwater aquifer hydraulic conductivity |
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