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On the interplay between scaling small-scale reactions, mixing, and aquifer heterogeneity: Human health risk implications.

机译:关于规模小规模反应,混合和含水层异质性之间的相互作用:对人类健康的影响。

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摘要

Given the rising number of groundwater contamination scenarios involving reactive solutes, understanding fundamental interactions between aquifer heterogeneity and solute transport is crucial in assessing human health risk. Aquifer heterogeneity is known to affect solute characteristics such as spatial spreading, mixing, and residence time, all of which may influence solute concentrations. Dispersion resulting from different scales of heterogeneity is examined, ranging from the local scale (sub-grid dispersion as small as a millimeter) to the regional scale (macrodispersion due to advection as large as tens of kilometers). Finely discretized, large extent aquifers are simulated stochastically to test for parameter sensitivity and to quantify uncertainty. Stochastic numerical simulations allow the flexibility to perform controlled experiments across a range of spatial and temporal scales, and are especially advantageous when applied to probabilistic risk assessment where statistically analyzing environmental conditions can be used to inform risk management decisions. For example, by varying the spatial persistence patterns of aquifer material, feedbacks between the degree of statistical anisotropy (i.e. aquifer stratification) and plume migration are observed and quantified. I demonstrate that both the degree of statistical anisotropy and the model of heterogeneity have significant impacts not only on uncertainty quantification of solute travel time and concentration parameters, but also uncertainty quantification of human health risk. Results show that the impact of local and small-scale reactions (such a kinetic sorption) up-scale and affect far field plume behavior, where the impact is largely a function of larger, maco-scale heterogeneities. The development of a framework for time dependent risk assessment (TDRA) is also presented, and highlights how hydro-geologic processes can be used to inform a risk assessment. In contrast to traditional, time independent assessments of risk, this new formulation relays information on when the risk occurs, how long the duration of risk is, and how risk changes with time. These results are especially pertinent for forecasting risk in time, and for risk assessors and managers who are assessing the uncertainty of risk. Finally, the communication difficulties in conveying technical information in post-normal science are discussed using the example of hydraulic fracturing, or fracking. The use of documentaries in opposing information campaigns is used as an illustration. In this example we show that these techniques, and specifically the focus on a "data battle" prevent a constructive dialogue between not only the opposing information campaigns within a debate, but also between the public and scientists or technical experts.
机译:鉴于涉及活性溶质的地下水污染情景的数量不断增加,了解含水层非均质性和溶质运移之间的基本相互作用对于评估人类健康风险至关重要。已知含水层的非均质性会影响溶质特征,例如空间扩散,混合和停留时间,所有这些都可能影响溶质浓度。检查了由不同尺度的异质性引起的离散,范围从局部尺度(小网格离散小到一毫米)到区域尺度(由于对流大到几十公里的大离散)。随机模拟精细离散的大型含水层,以测试参数敏感性并量化不确定性。随机数值模拟可以灵活地在各种时空范围内执行受控实验,在应用于概率风险评估时尤其有利,在概率风险评估中可以使用统计分析环境条件来指导风险管理决策。例如,通过改变含水层材料的空间持久性模式,可以观察和量化统计各向异性程度(即含水层分层)和羽流迁移之间的反馈。我证明统计各向异性的程度和异质性模型不仅对溶质旅行时间和浓度参数的不确定性定量都有重大影响,而且对人类健康风险的不确定性定量也有重大影响。结果表明,局部和小规模反应(如动力学吸附)的影响是规模化的,并影响远场羽流行为,其中远大程度上是较大的马可尺度异质性的函数。还介绍了时间依赖性风险评估(TDRA)框架的开发,并重点介绍了如何利用水文地质过程来进行风险评估。与传统的与时间无关的风险评估不同,此新公式传递了有关风险发生时间,风险持续时间以及风险随时间变化的信息。这些结果与及时预测风险以及评估风险不确定性的风险评估者和管理者特别相关。最后,以水力压裂或压裂为例,讨论了师范大学后科学领域在传达技术信息方面的沟通困难。在对立的信息战中使用纪录片作为例证。在此示例中,我们展示了这些技术,尤其是对“数据战”的关注,不仅阻止了辩论中相对的信息运动之间的建设性对话,而且也阻止了公众与科学家或技术专家之间的建设性对话。

著录项

  • 作者

    Siirila, Erica R.;

  • 作者单位

    Colorado School of Mines.;

  • 授予单位 Colorado School of Mines.;
  • 学科 Hydrology.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 187 p.
  • 总页数 187
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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