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Modeling Biogeochemistry and Flow within Heterogeneous Formations in Variably-Saturated Media

机译:可变饱和介质中非均质地层中的生物地球化学和流动建模

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摘要

This dissertation focuses on understanding the complex interactions between hydrological and geochemical processes, and specifically how these interactions are affected by subsurface heterogeneity across scales. Heterogeneity in the form of macropores and fractures provide preferential flowpaths and affect contaminant transport. Biogeochemical processes are also strongly affected by such heterogeneities. Any lithological layering or interface (e.g. plume fringe, wetland-aquifer boundary, etc.) increases biogeochemical activity around that interface. Hydrologic conditions, rainfall events, drainage patterns, and pH variations are also dominant controls on redox processes and thereby affect contaminant distribution and migration. An inherent limitation of modeling fate and transport of contaminants in the subsurface is that the interactions among biogeochemical processes are complex and non-linear. Therefore, this research investigates the effect of hydrological variations and physical heterogeneity on coupled biogeochemical processes across column and landfill scales.Structural heterogeneity in the form of macropore distributions (no macropore, single macropore, and multiple macropores) in experimental soil columns is investigated to accurately model preferential flow and tracer transport. This research is crucial to agricultural systems where soil and crop management practices modify soil structure and alter macropore densities. The comparison between deterministic and stochastic approaches for simulating preferential flow improved the characterization of interface parameters of the dual permeability model, and outlined the need for efficient sampling algorithms or additional datasets to yield unique (equifinal) soil hydraulic parameters.To evaluate the effect of heterogeneity on redox processes, repacked soil columns with homogeneous and heterogeneous (layered) profiles from soil cores collected at the Norman Landfill site, Oklahoma, USA were employed. Results indicate that heterogeneity in the form of textural layering is paramount in controlling redox processes in the layered column.To evaluate the effect of hydrologic conditions on redox processes, temporal data at the Norman landfill site was used. Results indicate that seasonal hydrologic variations exert dominant control over redox-sensitive concentrations.An integrated MCMC algorithm was devised to upscale linked biogeochemical processes from the column to the field scale. Results indicate that heterogeneity and hydrologic processes are paramount in controlling effective redox concentrations at the Norman landfill site.
机译:本文着重于了解水文与地球化学过程之间的复杂相互作用,尤其是这些相互作用如何受到跨尺度的地下非均质性的影响。大孔和裂缝形式的异质性提供了优先的流径并影响污染物的运输。生物地球化学过程也受到这种异质性的强烈影响。任何岩性分层或界面(例如羽状边缘,湿地-含水层边界等)都会增加该界面周围的生物地球化学活性。水文条件,降雨事件,排水模式和pH值变化也是氧化还原过程的主要控制因素,从而影响污染物的分布和迁移。在地下模拟污染物的命运和迁移的固有局限性在于,生物地球化学过程之间的相互作用是复杂且非线性的。因此,本研究调查了水文变化和物理异质性对跨柱和垃圾填埋场规模的耦合生物地球化学过程的影响。以实验孔的形式以大孔分布(无大孔,单个大孔和多个大孔)的形式研究了结构异质性模拟优先流量和示踪剂运输。这项研究对于农业系统至关重要,在该系统中,土壤和作物管理实践会改变土壤结构并改变大孔密度。确定性流和随机流模拟方法的比较改善了双重渗透模型的界面参数的表征,并概述了需要有效的采样算法或附加数据集以产生唯一的(等值)土壤水力参数的方法。在氧化还原过程中,使用了在美国俄克拉荷马州诺曼垃圾填埋场收集的土壤芯中具有均质和非均质(分层)剖面的重新装填的土壤柱。结果表明,纹理分层的非均质性对于控制分层柱中的氧化还原过程至关重要。为了评估水文条件对氧化还原过程的影响,我们使用了诺曼(Norman)垃圾填埋场的时间数据。结果表明季节性水文变化对氧化还原敏感浓度起主要控制作用。设计了一种集成的MCMC算法,可将从柱到田的大规模生物地球化学过程联系起来。结果表明,异质性和水文过程对于控制诺曼垃圾填埋场的有效氧化还原浓度至关重要。

著录项

  • 作者

    Arora Bhavna;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
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