Transport pathway identification in fractured aquifers: A stochastic event synchrony-based framework
Transport pathway identification in fractured aquifers: A stochastic event synchrony-based framework
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DOI：
10.1016/j.advwatres.2020.103800
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发表时间：
2021
影响因子：
4.7
通讯作者：
A. Yosri;S. Dickson-Anderson;A. Siam;W. El-Dakhakhni
中科院分区：
文献类型：
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作者：
A. Yosri;S. Dickson-Anderson;A. Siam;W. El-Dakhakhni
几种方法通常被应用于模拟裂隙含水层，包括随机连续介质（SC）和离散裂隙网络（DFN）模型。虽然DFN模型提供了一个更现实的系统表示，他们的发展需要一个准确的表征裂缝网络。绘制可靠的裂缝网络通常需要大量且通常令人望而却步的资源，这对于开发有效的DFN模型至关重要。本研究开发和演示了一个简单的框架映射在断裂系统中的运输途径，利用溶质运移之间的连贯性和两个时间序列之间的滞后相互依赖性，通过随机事件同步（SES）技术进行评估。SES为基础的框架被施加到溶质突破曲线obtainaini）解析在不同的位置沿着一个单一的，合成的裂缝都有和没有基质扩散;和，ii）数值在多个位置内的合成，不渗透的裂缝网络。在所有情况下，该框架都能够准确地绘制所考虑的地点之间的直接路径所代表的运输路径。该框架还能够识别每个连接内的水文地质特征（即，流速或其与分散系数的关系）。预计这一框架将大大减少确定复杂的裂隙含水层内的运移路径所需的大量资源。另外，所识别的基于SES的传输路径可用于通过表示额外约束来增强其它裂缝网络映射或生成方法的可靠性。该研究是水文地质领域首次采用同步分析，有望为利用SES解决相关问题打开大门
Several approaches are commonly applied to modeling fractured aquifers, including stochastic continuum (SC) and discrete fracture network (DFN) models. While DFN models provide a more realistic representation of the system, their development necessitates an accurate characterization of the fracture network. Extensive, and often prohibitive, resources are typically required to map a reliable fracture network, which is essential to develop an effective DFN model. The present study develops and demonstrates a simple framework for mapping transport pathways in fractured systems utilizing the coherence between solute transport and the lagged interdependence between two time series evaluated through the stochastic event synchrony (SES) technique. The SES-based framework was applied to solute breakthrough curves obtainedi) analytically at different locations along a single, synthetic fracture both with and without matrix diffusion; and,ii) numerically at multiple locations within a synthetic, impervious fracture network. In all cases, the framework was capable of accurately mapping the transport pathways represented by direct pathes between the locations considered. The framework was also capable of identifying the hydrogeologic characteristics within each connection (i.e., flow velocity or its relationship to the dispersion coefficient). This framework is expected to significantly reduce the extensive resources required to identify the transport pathways within complex fractured aquifers. Additionally, the SES-based transport pathways identified may be used to enhance the reliability of other fracture network mapping, or generation, approaches by representing an additional constraint. This study is the first in the field of hydrogeology to adopt synchronization analysis and is expected to open the gate for using SES to address related problems