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Stochastic analysis of contaminant transport in heterogeneous structured porous media: A dual-porosity/permeability approach.

机译:异质结构多孔介质中污染物迁移的随机分析:双重孔隙/渗透率方法。

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摘要

Groundwater flow and solute transport in fissured and fractured formations have been the subjects of intensive investigation in the last several decades. Many environmental projects seeking safe repositories for hazardous wastes have been conducted in fractured media. Prediction of the contaminant transport is a critical requirement for waste containment design and evaluation of remediation efforts.; Complex heterogeneity of natural media and scarcity of the available field data preclude use of deterministic models. Therefore, various stochastic approaches have been developed to study the flow and transport in heterogeneous media [Gelhar, 1986; Dagan, 1986]. However, most stochastic studies, particularly analytical studies, are limited to unstructured porous media with mild heterogeneity. Few stochastic studies have been conducted for transport in structured media.; In this dissertation, the nonlocal, Eulerian stochastic perturbation method has been applied to conduct a series of studies on transport of solute in structured/fractured porous media. The dual-porosity/permeability model is adopted to describe flow and transport in structured media. The hydraulic conductivity, sorption coefficients and degradation rates in both flow domains are treated as spatial random variables to describe the heterogeneous nature of the media. A first-order interregional mass transfer model is adopted to describe the diffusive mass transfer between different flow domains. The transfer rate coefficient is also treated as spatial random variable since the transfer process is heterogeneous over all scales. The analytical solutions for the mean concentrations are explicitly expressed in spatial-Fourier and temporal-Laplace transforms and are numerically inverted back into real space via Fast Fourier Transform. The influences of the various random parameters on solute transport are investigated. This dissertation provides a general analytical solution for transport in fractured media undergoing multiple processes, and the general solution is consistent with the solutions under various simplified scenarios.; This dissertation also develops a numerical Monte Carlo simulation approach, including particle-tracking and random walk techniques, to investigate the validity and accuracy of the analytical solutions. The comparison between the two methods reveals that the analytical solution is quite robust in predictions of mean concentrations for structured media with mild heterogeneity within each flow domain.
机译:在过去的几十年中,裂缝和压裂地层中的地下水流动和溶质运移一直是深入研究的主题。在压裂介质中开展了许多寻求安全的危险废物处置库的环境项目。污染物迁移的预测是废物围护设计和补救措施评估的关键要求。自然介质的复杂异质性和可用田间数据的稀缺性阻碍了确定性模型的使用。因此,已经开发出各种随机方法来研究异质介质中的流动和运输[ Gelhar ,1986; Dagan ,1986]。但是,大多数随机研究,尤其是分析研究,仅限于具有轻度异质性的非结构化多孔介质。在结构化介质中进行运输的随机研究很少。本文采用非局部,欧拉随机扰动方法对溶质在结构/破裂多孔介质中的运移进行了一系列研究。采用双重孔隙/渗透率模型来描述结构化介质中的流动和传输。将两个流域中的水力传导率,吸附系数和降解率视为空间随机变量,以描述介质的非均质性。采用一阶区域间传质模型来描述不同流域之间的扩散传质。由于传输过程在所有尺度上都是异质的,因此传输速率系数也被视为空间随机变量。平均浓度的解析解在空间傅立叶变换和时间-拉普拉斯变换中明确表示,并通过快速傅立叶变换在数值上反演回真实空间。研究了各种随机参数对溶质运移的影响。本文为裂缝介质在多个过程中的输运提供了一个通用的解析解,该通用解与各种简化场景下的解析解是一致的。本文还开发了一种数值蒙特卡罗模拟方法,包括粒子跟踪和随机游走技术,以研究解析解的有效性和准确性。两种方法之间的比较表明,该分析解决方案在每个流域内具有轻度异质性的结构化介质的平均浓度预测中都非常可靠。

著录项

  • 作者

    Huang, Hai.;

  • 作者单位

    University of Nevada, Reno.;

  • 授予单位 University of Nevada, Reno.;
  • 学科 Hydrology.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 243 p.
  • 总页数 243
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水文科学(水界物理学);
  • 关键词

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