Heterogeneous Aquifers(非均质含水层)研究综述
Heterogeneous Aquifers 非均质含水层 - Our methodology could be applied to other heterogeneous aquifers in the absence of a dense monitoring network. [1] The pilot points technique was used to account for the spatial variability of hydrogeologic parameters of heterogeneous aquifers. [2] The objective was to show that complex mass distributions in heterogeneous aquifers can be predicted without calibration of transport parameters - solely making use of structural and flow data. [3] Low permeability zones (LPZs) are typically bypassed when remedial reagents are injected into heterogeneous aquifers, which hinders the in situ remediation. [4] The model uses the well-known Fick’s second law to numerically estimate the pressure head variations in heterogeneous aquifers. [5] Modelling of heterogeneous aquifers, such as crystalline aquifers, is often difficult and, flow and transport predictions are always uncertain, suffering of our imperfect knowledge of the spatial distribution of aquifer parameters. [6] Previous experiences show acceptable results in the identification of fractures and preferential flow in heterogeneous aquifers. [7] Because of the nonlinear relationship between subsidence and drawdown due to groundwater exploitation in heterogeneous aquifers, a spatial regression (SR) model is developed to effectively estimate nonlinear and spatially varying land subsidence. [8] The objective was to show that complex mass distributions in heterogeneous aquifers can be predicted without calibration of transport parameters, solely making use of structural and flow data. [9] In heterogeneous aquifers, salinization rates and patterns were much more complicated, and related to pumping location and depth, aquifer geometry, and geologic connections between pumping location, landward boundaries, and saline groundwater. [10] This article presents numerical investigations on accuracy and convergence properties of several numerical approaches for simulating steady state flows in heterogeneous aquifers. [11] It is suitable for coastal lowlands and heterogeneous aquifers and has an open interface to the deterministic hydrological water budget model (PANTA RHEI). [12] Here, this approach is generalized for heterogeneous aquifers of spatially variable logconductivity ( Y = ln K ) , which is modeled as a stationary space random function characterized by K G (geometric mean), σ Y 2 (variance), I and I v (horizontal and vertical integral scales). [13] This paper presents a 3D radial flow model (SPIDERR), based on the Darcy-Forchheimer equation, for simulating the groundwater level response in supply boreholes in unconfined, heterogeneous aquifers. [14] The results suggest that the use of non-invasive geophysical methods can reduce the number of expensive boreholes to obtain an interface between the fresh and saline water for the exploitation of fresh groundwater resources in any large area of homogeneous or heterogeneous aquifers. [15] In heterogeneous aquifers, imaging preferential flow paths, and non-Gaussian effects is critical to reduce uncertainties in transport predictions. [16] The correct characterization of macro-scale contaminant transport and transformation rates is an important issue for modeling reactive transport in heterogeneous aquifers. [17] Estimating the values of dispersion and biochemical reaction rates of heterogeneous aquifers is critical to predicting the temporal evolution and fate of reactive solutes. [18] The effects of surface-tension and/or viscosity changes in groundwater on the remedial performance of air sparging for heterogeneous aquifers were investigated. [19]在没有密集监测网络的情况下，我们的方法可以应用于其他异质含水层。 [1] 试验点技术用于解释非均质含水层水文地质参数的空间变异性。 [2] 目的是表明可以在不校准传输参数的情况下预测异质含水层中的复杂质量分布 - 仅使用结构和流量数据。 [3] 当修复剂注入非均质含水层时，通常会绕过低渗透率区 (LPZ)，这会阻碍原位修复。 [4] 该模型使用著名的 Fick 第二定律对非均质含水层中的压头变化进行数值估计。 [5] 非均质含水层（如结晶含水层）的建模通常很困难，而且流量和输运预测总是不确定的，我们对含水层参数空间分布的了解不完善。 [6] 以前的经验表明，在识别非均质含水层中的裂缝和优先流方面取得了可接受的结果。 [7] 由于非均质含水层中地下水开采导致的沉降和下降之间存在非线性关系，因此开发了空间回归 (SR) 模型来有效估计非线性和空间变化的地面沉降。 [8] 目的是表明可以预测异质含水层中的复杂质量分布，而无需校准传输参数，仅使用结构和流量数据。 [9] 在非均质含水层中，盐渍化速率和模式要复杂得多，并且与抽水位置和深度、含水层几何形状以及抽水位置、陆地边界和含盐地下水之间的地质联系有关。 [10] 本文介绍了几种用于模拟非均质含水层稳态流动的数值方法的准确性和收敛性的数值研究。 [11] 它适用于沿海低地和异质含水层，并与确定性水文水收支模型 (PANTA RHEI) 具有开放接口。 [12] 在这里，这种方法适用于空间可变对数电导率 ( Y = ln K ) 的非均质含水层，它被建模为以 K G （几何平均值）、σ Y 2 （方差）、I 和 I v （水平和垂直积分刻度）。 [13] 本文提出了一个基于 Darcy-Forchheimer 方程的 3D 径向流模型 (SPIDERR)，用于模拟非承压、非均质含水层中供水钻孔中的地下水位响应。 [14] 结果表明，使用非侵入性地球物理方法可以减少昂贵的钻孔数量，以获得淡水和咸水之间的界面，以便在任何大面积的均质或非均质含水层中开采淡水资源。 [15] 在异质含水层中，成像优先流动路径和非高斯效应对于减少传输预测的不确定性至关重要。 [16] 宏观污染物迁移和转化率的正确表征是模拟非均质含水层反应迁移的一个重要问题。 [17] 估计非均质含水层的分散和生化反应速率的值对于预测反应性溶质的时间演变和归宿至关重要。 [18] 研究了地下水的表面张力和/或粘度变化对空气喷射对非均质含水层的修复性能的影响。 [19]
Highly Heterogeneous Aquifers 高度非均质含水层
Tobago is the smaller island and has small highly heterogeneous aquifers composed of igneous and metamorphic crystalline rock with strong structural controls on the spatial distribution of permeability. [1] Flow simulations, especially in large, highly heterogeneous aquifers, require extensive computational resources, a multiresolution (multiscale) approach to resolve the different heterogeneity scales and an accurate calculation of the velocity field. [2] This article reviews the non-Fickian dispersion phenomenon caused by the heterogeneity of geological media, summarizes the processes and current understanding of contaminant migration and transformation in highly heterogeneous aquifers, and evaluates mathematical methods describing the main non-Fickian dispersion features. [3] Contrary to Fickian theory, the dispersive mass flux in both the front and tail of a plume in highly heterogeneous aquifers is limited. [4] Recently, models and numerical simulations for solving transport in highly heterogeneous aquifers ($\sigma _{Y}^{2}>1$), primarily in terms of the mass arrival (the breakthrough curve BTC), were advanced. [5]多巴哥是一个较小的岛屿，拥有由火成岩和变质结晶岩组成的小型高度非均质含水层，对渗透率的空间分布有很强的结构控制。 [1] 流动模拟，特别是在大型、高度异质的含水层中，需要大量的计算资源、多分辨率（多尺度）方法来解决不同的异质性尺度以及准确计算速度场。 [2] 本文回顾了由地质介质的非均质性引起的非Fickian弥散现象，总结了高度非均质含水层中污染物迁移和转化的过程和当前认识，并对描述主要非Fickian弥散特征的数学方法进行了评估。 [3] 与 Fickian 理论相反，高度非均质含水层中羽流前端和尾部的弥散质量通量是有限的。 [4] 最近，用于解决高度异质含水层（$\sigma _{Y}^{2}>1$）输运的模型和数值模拟，主要是在质量到达（突破曲线 BTC）方面，得到了推进。 [5]
Geochemically Heterogeneous Aquifers
A quantitative understanding of virus removal during aquifer storage and recovery (ASR) in physically and geochemically heterogeneous aquifers is needed to accurately assess human health risks from viral infections. [1] A quantitative understanding of virus removal during aquifer storage and recovery (ASR) in physically and geochemically heterogeneous aquifers is needed to accurately assess human health risks from viral infections. [2]需要对物理和地球化学异质含水层中含水层储存和恢复 (ASR) 期间病毒去除的定量了解，以准确评估病毒感染对人类健康的风险。 [1] 需要对物理和地球化学异质含水层中含水层储存和恢复 (ASR) 期间病毒去除的定量了解，以准确评估病毒感染对人类健康的风险。 [2]